{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-239354\nname: User-centric tertiary contingency\ncategory: electronics\nprice: 998.51\ncurrency: USD\nstock: 842\nis_available: true\nrating: 2.36\nreviews: 630\nspecs:\n  weight_kg: 0.61\n  dimensions: 88x23x10cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-574681</experiment_id>\n<title>Effect of anyone on society</title>\n<methodology>\n<design>cohort</design>\n<sample_size>560</sample_size>\n<duration_days>320</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>50.77</baseline>\n<endpoint>70.83</endpoint>\n<p_value>0.3046</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>96.52</baseline>\n<endpoint>82.25</endpoint>\n<p_value>0.0326</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.38</baseline>\n<endpoint>72.88</endpoint>\n<p_value>0.2787</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>17.71</baseline>\n<endpoint>95.37</endpoint>\n<p_value>0.4542</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-940168\nstudent_id: STU-537461\ncourse_id: CRS-2098\ntype: quiz\ndate: '2026-01-04'\nscores:\n- question: 1\n  points_earned: 10\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 6\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 3\n  points_possible: 10\n- question: 6\n  points_earned: 4\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 2\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\ntotal_score: 93\npercentage: 74.54\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3948</course_id>\n<code>CSZ142</code>\n<title>Intuitive foreground functionalities 101</title>\n<instructor>Robert Carter</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>catch</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>out</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>story</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>share</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>become</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>part</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>cell</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6204</course_id>\n<code>WOR378</code>\n<title>Multi-channeled bi-directional implementation 101</title>\n<instructor>Charlene Houston</instructor>\n<credits>4</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>under</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>good</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>grow</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>experience</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>offer</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>account</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Able all site never. Challenge heart Democrat thought prove.\nWill visit necessary. Yes thing agree i\",92,8660,622,\"[\"\"#arrive\"\", \"\"#fall\"\", \"\"#certainly\"\"]\",instagram,POST-27387545,2026-01-06T09:43:34.195694,dd5fe251-23f2-4782-ad34-e6e30a3004b5,joshua49\r\n\"Religious church member candidate with walk many. Since trouble economic bar west.\nYourself hour gas\",3,7703,94,\"[\"\"#prevent\"\", \"\"#against\"\", \"\"#treat\"\", \"\"#computer\"\"]\",instagram,POST-21122927,2026-01-06T09:43:34.198000,7645120b-50a1-470d-9ead-3a427757bc3c,cnelson\r\n\"Type feeling maintain determine. Need morning hot store create apply.\nBlack degree here another even\",389,3422,386,\"[\"\"#experience\"\", \"\"#choose\"\", \"\"#simple\"\"]\",instagram,POST-98551546,2026-01-06T09:43:34.198771,04d88770-2275-4320-bf5d-6f6ad2ce19d6,carlamejia\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvasta\",MRN-726192,Jessica Warner,RX-3022361\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvasta\",MRN-885805,Thomas Morris,RX-7631483\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-354257,Heather Gonzalez,RX-8243883\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-565982,Robert Collins,RX-2112661\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J94\"\"}]\",headache,2026-01-04,CN-3766387,48,F,MRN-378219,145/101,106,101.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K38\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J53\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-01,CN-6970690,45,M,MRN-828020,175/73,92,98.2\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I91\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I93\"\"}]\",chest pain,2026-01-02,CN-3359599,68,F,MRN-329241,112/87,65,97.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J14\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K84\"\"}]\",headache,2026-01-02,CN-4992215,32,F,MRN-181838,143/68,95,102.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J81\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J94\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-1470790,43,F,MRN-970521,143/109,67,101.3\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-3766387\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J94\"\n\n[patient]\nmrn = \"MRN-378219\"\nage = 48\ngender = \"F\"\n\n[vitals]\nbp = \"145/101\"\nhr = 106\ntemp_f = 101.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Secured well-modulated policy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</article>\n<get>\n<summary>During certainly full.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//article>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Secured well-modulated policy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/article\": {\n      \"get\": {\n        \"summary\": \"During certainly full.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nDBP130,CRS-8855,3,40,30,30,Carl Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"manage\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"bring\"\"}, {\"\"w\",Fall 2024,Team-oriented 3rdgeneration implementation 101\r\nDEN254,CRS-9176,4,40,30,30,Barry Atkinson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"present\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wait\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"fact\"\"}, {\"\"week\",Spring 2022,Distributed next generation contingency 101\r\nMTT479,CRS-8159,3,40,30,30,Thomas Reyes,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"set\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"husband\"\"}, {\"\"week\"\":\",Spring 2021,Expanded intangible pricing structure 101\r\nTIJ329,CRS-4277,3,40,30,30,Kelly Rush,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"after\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"visit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"easy\"\"}, {\"\"week\"\"\",Fall 2020,Implemented methodical installation 101\r\nVLH270,CRS-7106,3,40,30,30,Darryl Ferguson IV,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"team\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"rest\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"decade\"\"}, {\"\"week\"\"\",Fall 2023,Grass-roots tangible complexity 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-4493327\",\n  \"patient\": {\n    \"mrn\": \"MRN-934301\",\n    \"age\": 62,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"141/91\",\n    \"hr\": 100,\n    \"temp_f\": 98.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4493327</note_id>\n<patient>\n<mrn>MRN-934301</mrn>\n<age>62</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>141/91</bp>\n<hr>100</hr>\n<temp_f>98.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Enterprise-wide discrete encoding API\"\nversion = \"1.0.0\"\n\n[paths.\"/land\".get]\nsummary = \"Only deal American this.\"\n[[paths.\"/land\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/land\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/land\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/land\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<results>\n<metric>efficacy</metric>\n<baseline>40.85</baseline>\n<endpoint>40.08</endpoint>\n<p_value>0.4196</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.87</baseline>\n<endpoint>28.4</endpoint>\n<p_value>0.208</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>74.0</baseline>\n<endpoint>18.43</endpoint>\n<p_value>0.3638</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>50.48</baseline>\n<endpoint>15.59</endpoint>\n<p_value>0.1146</p_value>\n</results>\n<methodology>\n<design>observational</design>\n<sample_size>351</sample_size>\n<duration_days>339</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"0ea30289-ce13-425f-910d-da970e03d0fa\",\n  \"timestamp\": \"2026-01-07T13:51:25.772316\",\n  \"level\": \"WARNING\",\n  \"service\": \"theService\",\n  \"message\": \"Country specific information follow daughter dark.\",\n  \"stack_trace\": [\n    \"at enjoy.py:340\",\n    \"at current.py:45\",\n    \"at hand.py:478\"\n  ],\n  \"context\": {\n    \"user_id\": \"91a6b883-2593-4790-8a1e-5acd27aad31b\",\n    \"request_id\": \"1b22b6e6-0879-45de-9655-0fac03142f9b\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-393268</experiment_id>\n<title>Effect of themselves on time</title>\n<methodology>\n<design>RCT</design>\n<sample_size>237</sample_size>\n<duration_days>116</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.76</baseline>\n<endpoint>73.98</endpoint>\n<p_value>0.4055</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>70.26</baseline>\n<endpoint>84.17</endpoint>\n<p_value>0.253</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.1</baseline>\n<endpoint>56.91</endpoint>\n<p_value>0.1172</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-393268\",\n  \"title\": \"Effect of themselves on time\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 237,\n    \"duration_days\": 116\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.76,\n      \"endpoint\": 73.98,\n      \"p_value\": 0.4055\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 70.26,\n      \"endpoint\": 84.17,\n      \"p_value\": 0.253\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.1,\n      \"endpoint\": 56.91,\n      \"p_value\": 0.1172\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-319304\"\nname = \"Self-enabling clear-thinking help-desk\"\ncategory = \"clothing\"\nprice = 510.64\ncurrency = \"USD\"\nstock = 595\nis_available = true\nrating = 2.22\nreviews = 791\n\n[specs]\nweight_kg = 30.42\ndimensions = \"12x58x39cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"assessment_id\": \"ASMT-350362\",\n  \"student_id\": \"STU-421536\",\n  \"course_id\": \"CRS-1231\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 51,\n  \"percentage\": 80.6,\n  \"grade\": \"A\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-350362,,CRS-1231,,2026-01-01,A,,,,,80.6,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-421536,,,51,exam\r\n,MUR356,CRS-1621,3,,,40,30,30,Carolyn Boyer DDS,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"resource\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"prepare\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"pattern\"\"},\",,,Fall 2024,Intuitive 4thgeneration function 101,,\r\n,GFE164,CRS-8082,4,,,40,30,30,Cindy Fisher,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"alone\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"when\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"response\"\"}, {\"\"we\",,,Fall 2024,Public-key global algorithm 101,,\r\n,ARS409,CRS-6275,4,,,40,30,30,Haley Miller,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"choose\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"physical\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"do\"\"}, {\"\"wee\",,,Spring 2024,Cross-group fault-tolerant Local Area Network 101,,\r\n,NGK452,CRS-6394,4,,,40,30,30,Devin Bates,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"imagine\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"church\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"land\"\"}, {\"\"we\",,,Spring 2020,Compatible disintermediate contingency 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7,d753ac0c-8931-4c37-8bd5-01413aaaba41,fd278ff8-fdfc-4b1d-81ec-31cf5ce70502,,,ERROR,Attack candidate in give wish tree.,,,,,heartService,\"[\"\"at thousand.py:354\"\", \"\"at forget.py:20\"\", \"\"at consider.py:392\"\"]\",2026-01-07T13:51:26.554266,\r\nTell treat forward conference level religious. Pick anyone huge be.,\"[{\"\"name\"\": \"\"Sandra Diaz\"\", \"\"affiliation\"\": \"\"Miller, Jimenez and Chapman\"\", \"\"email\"\": \"\"brandon49@example.c\",207,,,,Roman-Martinez,\"[\"\"size\"\", \"\"Democrat\"\", \"\"final\"\", \"\"opportunity\"\", \"\"various\"\"]\",,,arXiv:2022.52852,10.6006/bbQM,Nature,2022,,,,Intuitive web-enabled utilization\r\n\"Detail what note pay.\nCut among artist drive away evidence.\nResult low southern within yeah differen\",\"[{\"\"name\"\": \"\"Debra Flores\"\", \"\"affiliation\"\": \"\"Wright LLC\"\", \"\"email\"\": \"\"peter57@example.org\"\"}, {\"\"name\"\": \"\"Ju\",440,,,,Tyler-Thomas,\"[\"\"thousand\"\", \"\"explain\"\", \"\"how\"\", \"\"give\"\", \"\"responsibility\"\"]\",,,arXiv:2021.84700,10.4898/XJFH,Cell,2024,,,,Configurable systemic artificial intelligence\r\n\"Six good generation account. Major not bar blue enter else support.\nWhich religious tend month telev\",\"[{\"\"name\"\": \"\"Dana Blankenship\"\", \"\"affiliation\"\": \"\"Cunningham-Williams\"\", \"\"email\"\": \"\"vmartin@example.net\"\"},\",495,,,,None,\"[\"\"play\"\", \"\"throw\"\", \"\"whole\"\", \"\"still\"\", \"\"land\"\"]\",,,arXiv:2024.43912,10.9920/PJFL,Science,2024,,,,Public-key foreground hardware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9001624\npatient_mrn: MRN-695608\nprescriber: Stephen Davis\ndate: '2026-01-05'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate error log data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"7af25ba6-3e63-43d5-89e6-c5a6b377b923\"\ntimestamp = \"2026-01-07T13:51:26.975438\"\nlevel = \"CRITICAL\"\nservice = \"downService\"\nmessage = \"Prevent true movie stop.\"\nstack_trace = [ \"at hand.py:436\", \"at whose.py:275\", \"at information.py:57\", \"at central.py:306\",]\n\n[context]\nuser_id = \"dc348ded-7e54-44aa-bfc8-75caf977ffdf\"\nrequest_id = \"cc597ab0-ad26-419a-8cbb-1facc38a2f79\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-110536\",\n  \"name\": \"Organized didactic parallelism\",\n  \"category\": \"clothing\",\n  \"price\": 68.12,\n  \"currency\": \"USD\",\n  \"stock\": 153,\n  \"is_available\": true,\n  \"rating\": 1.45,\n  \"reviews\": 277,\n  \"specs\": {\n    \"weight_kg\": 1.85,\n    \"dimensions\": \"33x70x14cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-110536</product_id>\n<name>Organized didactic parallelism</name>\n<category>clothing</category>\n<price>68.12</price>\n<currency>USD</currency>\n<stock>153</stock>\n<is_available>True</is_available>\n<rating>1.45</rating>\n<reviews>277</reviews>\n<specs>\n<weight_kg>1.85</weight_kg>\n<dimensions>33x70x14cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,effective_date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,status,term_months,title\r\n,,,2026-01-02,,,,,,,pending,54,\r\nThey pattern adult plant tell contain point. Special none man by same party magazine.,\"[{\"\"name\"\": \"\"Stephanie Kline\"\", \"\"affiliation\"\": \"\"Davis, Doyle and Smith\"\", \"\"email\"\": \"\"dawn74@example.net\"\"}\",240,,Hernandez Inc,\"[\"\"office\"\", \"\"father\"\", \"\"prepare\"\", \"\"low\"\"]\",arXiv:2023.61366,10.5021/PALz,Science,2023,,,Organized disintermediate superstructure\r\nCouple oil executive. Business low send than. Treat worry move pull forget begin few boy.,\"[{\"\"name\"\": \"\"Benjamin Williams\"\", \"\"affiliation\"\": \"\"Lynch and Sons\"\", \"\"email\"\": \"\"smitherin@example.org\"\"}, {\",94,,None,\"[\"\"computer\"\", \"\"smile\"\", \"\"save\"\", \"\"hot\"\", \"\"wide\"\"]\",arXiv:2023.69035,10.7541/TTLX,Cell,2023,,,Upgradable clear-thinking infrastructure\r\n\"Face financial crime tell life determine. Unit present can expect discuss.\nActually spend him when p\",\"[{\"\"name\"\": \"\"Mary Thomas\"\", \"\"affiliation\"\": \"\"Martinez, Reynolds and Erickson\"\", \"\"email\"\": \"\"kmiller@example\",217,,None,\"[\"\"activity\"\", \"\"street\"\", \"\"will\"\"]\",arXiv:2020.74346,10.9206/HUYW,Science,2024,,,Reactive reciprocal database\r\nNone appear generation foreign commercial follow. Strategy run coach few. Success reach money.,\"[{\"\"name\"\": \"\"Cassandra Mayer\"\", \"\"affiliation\"\": \"\"Welch, Lopez and Tucker\"\", \"\"email\"\": \"\"ctanner@example.net\",152,,\"Smith, Hays and Lewis\",\"[\"\"commercial\"\", \"\"drop\"\", \"\"age\"\", \"\"across\"\"]\",arXiv:2022.43774,10.7575/BUIi,Cell,2023,,,Function-based attitude-oriented moderator\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-817642\nstudent_id: STU-222420\ncourse_id: CRS-8326\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 9\n  points_possible: 10\n- question: 2\n  points_earned: 10\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 4\n  points_possible: 10\n- question: 7\n  points_earned: 10\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\ntotal_score: 60\npercentage: 56.31\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nterm_months: 33\nparties:\n- name: Hart-Villanueva\n  role: party_a\n- name: Roberts Ltd\n  role: party_b\neffective_date: '2026-01-05'\nvalue: 95653\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML 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": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>19a033e5-3ad7-4877-8a96-e38503174031</error_id>\n<timestamp>2026-01-07T13:51:26.139508</timestamp>\n<level>ERROR</level>\n<service>offService</service>\n<message>Light method real rich option.</message>\n<stack_trace>at very.py:253</stack_trace>\n<stack_trace>at piece.py:469</stack_trace>\n<stack_trace>at home.py:259</stack_trace>\n<context>\n<user_id>45de80c2-9a4d-4d83-abf9-651f235bf4e8</user_id>\n<request_id>53b4884a-375f-459c-a303-838dd3a8411e</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Visionary eco-centric methodology API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</edge>\n<get>\n<summary>Simple really social range.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//edge>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Visionary eco-centric methodology API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/edge\": {\n      \"get\": {\n        \"summary\": \"Simple really social range.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Implemented leadingedge groupware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reveal>\n<get>\n<summary>Parent dark five.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reveal>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-738287</product_id>\n<name>Function-based dedicated installation</name>\n<category>electronics</category>\n<price>364.53</price>\n<currency>USD</currency>\n<stock>956</stock>\n<is_available>True</is_available>\n<rating>1.64</rating>\n<reviews>854</reviews>\n<specs>\n<weight_kg>19.72</weight_kg>\n<dimensions>48x33x88cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8093004\"\npatient_mrn = \"MRN-777027\"\norder_date = \"2026-01-05\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 140.2\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 96.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 185.0\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 139.7\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate social media post data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-18209344</post_id>\n<platform>facebook</platform>\n<user_id>8880ae5d-22ce-466e-ac5d-224201417b5e</user_id>\n<username>xmcbride</username>\n<content>Determine live compare center as direction. Eye experience low wear. If south level.\nWorry expect style camera. Scene majority pay voice television professor.</content>\n<timestamp>2026-01-07T13:51:27.602464</timestamp>\n<hashtags>#culture</hashtags>\n<hashtags>#whole</hashtags>\n<hashtags>#central</hashtags>\n<engagement>\n<likes>2214</likes>\n<shares>878</shares>\n<comments>146</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3941350\"\npatient_mrn = \"MRN-739958\"\norder_date = \"2026-01-01\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 134.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 188.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 142.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 117.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 159.8\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 131.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\",\n  \"timestamp\": \"2026-01-07T13:51:25.462522\",\n  \"level\": \"ERROR\",\n  \"service\": \"winService\",\n  \"message\": \"Western energy project push building.\",\n  \"stack_trace\": [\n    \"at could.py:42\",\n    \"at seem.py:198\"\n  ],\n  \"context\": {\n    \"user_id\": \"7197800d-0acd-4eee-b9ab-24b5158dfa0a\",\n    \"request_id\": \"00c4c00d-dc22-4013-8495-1ed2381fc937\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate news article data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-3281345\"\nheadline = \"Streamlined object-oriented toolset\"\nauthor = \"James Dunn\"\npublished = \"2026-01-03T08:23:33.060508\"\nsection = \"Politics\"\ncontent = \"Win take among professor. Glass reflect black similar future. Risk than tree.\\nEconomic sit plan. Available then already skill up reason back. Course his threat growth physical parent truth.\\nLaugh article pull goal. Believe those few.\"\ntags = [ \"hit\", \"summer\", \"official\", \"rather\",]\nviews = 75669\nshares = 293\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67497</paper_id>\n<title>Open-architected logistical paradigm</title>\n<authors>\n<name>William Martin</name>\n<affiliation>George, Nichols and Johnston</affiliation>\n<email>crystal73@example.org</email>\n</authors>\n<authors>\n<name>Thomas Boyer</name>\n<affiliation>Powers, Miller and Johnston</affiliation>\n<email>xhardin@example.com</email>\n</authors>\n<authors>\n<name>Tanner Coffey</name>\n<affiliation>Perez, Marks and Thomas</affiliation>\n<email>tracywilliams@example.com</email>\n</authors>\n<abstract>Yes eat up himself consumer. Technology just debate bill live oil.</abstract>\n<keywords>each</keywords>\n<keywords>on</keywords>\n<keywords>perhaps</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.2923/Xnio</doi>\n</publication>\n<citations>265</citations>\n<funding_source>Smith Ltd</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Universal incremental parallelism API\"\nversion = \"1.0.0\"\n\n[paths.\"/try\".get]\nsummary = \"Contain American rule support.\"\n[[paths.\"/try\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/try\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/try\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/try\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/try\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-361703\nname: Grass-roots methodical neural-net\ncategory: books\nprice: 156.58\ncurrency: USD\nstock: 3\nis_available: true\nrating: 3.73\nreviews: 915\nspecs:\n  weight_kg: 25.41\n  dimensions: 90x40x81cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3281345,James Dunn,\"Win take among professor. Glass reflect black similar future. Risk than tree.\nEconomic sit plan. Ava\",Streamlined object-oriented toolset,2026-01-03T08:23:33.060508,Politics,293,\"[\"\"hit\"\", \"\"summer\"\", \"\"official\"\", \"\"rather\"\"]\",75669\r\nART-2637212,Brett Knight,Nearly production partner response today sound speak who. Far page build information study. Final cl,Reduced directional superstructure,2026-01-05T02:40:29.446745,Tech,2430,\"[\"\"nor\"\", \"\"kid\"\", \"\"everything\"\"]\",78279\r\nART-4830568,Anthony Burton,\"Culture form on box population list. Road activity camera newspaper rule ability material later.\nNat\",Total motivating groupware,2026-01-06T01:48:09.400241,Politics,406,\"[\"\"there\"\", \"\"run\"\", \"\"development\"\", \"\"hand\"\"]\",56144\r\nART-6293018,Hannah Richardson,Him paper as PM born city. Management such lawyer act. Your knowledge individual call discover song ,Grass-roots tertiary concept,2026-01-03T20:34:00.883621,Politics,1743,\"[\"\"year\"\", \"\"question\"\", \"\"about\"\"]\",7305\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>7500818</total_revenue>\n<units_sold>73950</units_sold>\n<channels>\n<name>retail</name>\n<revenue>528123</revenue>\n<growth>12.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1160273</revenue>\n<growth>23.93</growth>\n</channels>\n<top_products>\n<sku>SKU-6153</sku>\n<sales>328911</sales>\n</top_products>\n<top_products>\n<sku>SKU-4483</sku>\n<sales>21251</sales>\n</top_products>\n<top_products>\n<sku>SKU-5114</sku>\n<sales>21486</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 7500818,\n  \"units_sold\": 73950,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 528123,\n      \"growth\": 12.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1160273,\n      \"growth\": 23.93\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6153\",\n      \"sales\": 328911\n    },\n    {\n      \"sku\": \"SKU-4483\",\n      \"sales\": 21251\n    },\n    {\n      \"sku\": \"SKU-5114\",\n      \"sales\": 21486\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,headache,2026-01-03,CN-8819550,59,F,MRN-899007,173/91,86,100.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K38\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I65\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-05,CN-3588405,26,F,MRN-966340,131/88,68,97.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J68\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K50\"\"}, {\"\"problem\",chest pain,2026-01-04,CN-3211727,54,M,MRN-605124,131/96,67,98.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J60\"\"}]\",fever,2026-01-04,CN-9155778,82,F,MRN-276552,170/79,108,97.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I84\"\"}]\",chest pain,2026-01-02,CN-9560769,36,M,MRN-713046,101/103,90,100.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-926700\"\neffective_date = \"2026-01-04\"\nterm_months = 36\nvalue = 178791\nstatus = \"pending\"\n[[parties]]\nname = \"Kelly-Jackson\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Ramos, Hampton and Hartman\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninfo:\n  title: Front-line scalable hub API\n  version: 1.0.0\nopenapi: 3.0.0\npaths:\n  /nation:\n    get:\n      summary: List level decade consumer go.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need student assessment details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-692898\"\nstudent_id = \"STU-875081\"\ncourse_id = \"CRS-2846\"\ntype = \"exam\"\ndate = \"2026-01-02\"\ntotal_score = 77\npercentage = 86.0\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.97232\"\ntitle = \"Enhanced background strategy\"\nabstract = \"Himself trial finish sister anyone. Where between test must large common world. Find necessary outside.\"\nkeywords = [ \"activity\", \"face\", \"enter\", \"paper\",]\ncitations = 73\n[[authors]]\nname = \"Sarah Odonnell\"\naffiliation = \"Butler PLC\"\nemail = \"mistyreese@example.org\"\n\n[[authors]]\nname = \"Lori Bishop\"\naffiliation = \"Hansen and Sons\"\nemail = \"nmcguire@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2024\ndoi = \"10.9637/hhrK\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.53732\ntitle: De-engineered exuding monitoring\nauthors:\n- name: Joseph Johnson\n  affiliation: Mccann, Romero and Ortiz\n  email: wcook@example.org\n- name: Mr. Henry Thomas\n  affiliation: Clarke-Williams\n  email: mlittle@example.com\nabstract: Cut happen you after talk trial accept she. Country church development card.\n  Learn support son service.\nkeywords:\n- positive\n- American\n- hand\n- sure\npublication:\n  venue: Science\n  year: 2024\n  doi: 10.3815/gTFt\ncitations: 88\nfunding_source: Kim LLC\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.86983\ntitle: Reverse-engineered national Graphical User Interface\nauthors:\n- name: Wesley Murphy\n  affiliation: Nunez, Meyer and Snow\n  email: nina74@example.net\n- name: Richard Morgan\n  affiliation: Hall-Jones\n  email: justin85@example.org\n- name: Anthony Johnson\n  affiliation: Kelley-Murphy\n  email: srichmond@example.com\nabstract: Sure finally site who truth. Close stop when low. Check news mother democratic.\nkeywords:\n- old\n- indeed\n- general\n- claim\n- every\npublication:\n  venue: Nature\n  year: 2024\n  doi: 10.2539/QMDE\ncitations: 221\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Ortega-Owens\",\n  \"ticker\": \"YLLB\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 37598920,\n  \"expenses\": 44591506,\n  \"net_income\": 3197580,\n  \"eps\": 1.51,\n  \"metrics\": {\n    \"profit_margin\": 5.54,\n    \"roe\": 6.32\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Ortega-Owens</company>\n<ticker>YLLB</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>37598920</revenue>\n<expenses>44591506</expenses>\n<net_income>3197580</net_income>\n<eps>1.51</eps>\n<metrics>\n<profit_margin>5.54</profit_margin>\n<roe>6.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-3305496\",\n  \"patient_mrn\": \"MRN-551064\",\n  \"prescriber\": \"Eric Jackson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3305496</rx_id>\n<patient_mrn>MRN-551064</patient_mrn>\n<prescriber>Eric Jackson</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19357850</post_id>\n<platform>twitter</platform>\n<user_id>664b960b-1331-492f-addd-e9b37d21656f</user_id>\n<username>mbaldwin</username>\n<content>Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.</content>\n<timestamp>2026-01-07T13:51:27.605837</timestamp>\n<hashtags>#cost</hashtags>\n<hashtags>#he</hashtags>\n<hashtags>#relationship</hashtags>\n<engagement>\n<likes>304</likes>\n<shares>796</shares>\n<comments>124</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-19357850\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"664b960b-1331-492f-addd-e9b37d21656f\",\n  \"username\": \"mbaldwin\",\n  \"content\": \"Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.\",\n  \"timestamp\": \"2026-01-07T13:51:27.605837\",\n  \"hashtags\": [\n    \"#cost\",\n    \"#he\",\n    \"#relationship\"\n  ],\n  \"engagement\": {\n    \"likes\": 304,\n    \"shares\": 796,\n    \"comments\": 124\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CMP,MRN-478989,LAB-9047593,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 171.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\":\"\r\n2026-01-06,CMP,MRN-240690,LAB-3892435,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 142.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-04,CBC,MRN-701199,LAB-7161198,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 58.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 50.4,\"\r\n2026-01-01,Lipid,MRN-684071,LAB-8865790,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 64.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-04,CMP,MRN-247887,LAB-7550762,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 99.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Visionary eco-centric methodology API\"\nversion = \"1.0.0\"\n\n[paths.\"/edge\".get]\nsummary = \"Simple really social range.\"\n[[paths.\"/edge\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/edge\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/edge\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/edge\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-843517\nname: Function-based logistical throughput\ncategory: books\nprice: 611.6\ncurrency: USD\nstock: 922\nis_available: true\nrating: 3.59\nreviews: 676\nspecs:\n  weight_kg: 0.63\n  dimensions: 97x59x46cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"vitals\": {\n    \"bp\": \"97/107\",\n    \"hr\": 107,\n    \"temp_f\": 99.6\n  },\n  \"patient\": {\n    \"mrn\": \"MRN-705297\",\n    \"age\": 67,\n    \"gender\": \"F\"\n  },\n  \"chief_complaint\": \"chest pain\",\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K41\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J91\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J64\"\n    }\n  ],\n  \"note_id\": \"CN-6154695\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<vitals>\n<bp>97/107</bp>\n<hr>107</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<patient>\n<mrn>MRN-705297</mrn>\n<age>67</age>\n<gender>F</gender>\n</patient>\n<chief_complaint>chest pain</chief_complaint>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K41</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J91</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J64</icd10>\n</assessment>\n<note_id>CN-6154695</note_id>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.47681\",\n  \"title\": \"Devolved bi-directional info-mediaries\",\n  \"authors\": [\n    {\n      \"name\": \"Christian Randolph\",\n      \"affiliation\": \"Hunt-Haynes\",\n      \"email\": \"patrickmaddox@example.net\"\n    },\n    {\n      \"name\": \"Allen Lewis\",\n      \"affiliation\": \"Owen PLC\",\n      \"email\": \"alexanderhenry@example.net\"\n    },\n    {\n      \"name\": \"Cody Martin\",\n      \"affiliation\": \"Mcknight PLC\",\n      \"email\": \"michael00@example.org\"\n    }\n  ],\n  \"abstract\": \"Help field ten it. Pick eight last star pull. Act politics discuss.\",\n  \"keywords\": [\n    \"hard\",\n    \"open\",\n    \"right\",\n    \"could\",\n    \"sea\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.8057/cNYF\"\n  },\n  \"citations\": 411,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"specs\": {\n    \"weight_kg\": 41.33,\n    \"dimensions\": \"19x24x69cm\"\n  },\n  \"price\": 743.81,\n  \"is_available\": true,\n  \"rating\": 2.69,\n  \"stock\": 485\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CMP,MRN-584871,LAB-5383313,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 194.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-05,CMP,MRN-557806,LAB-2465863,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 80.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 107.\"\r\n2026-01-06,CMP,MRN-914594,LAB-6512945,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 141.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 71.9,\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Taylor Ltd\",\n  \"ticker\": \"AOED\",\n  \"quarter\": \"Q1 2024\",\n  \"revenue\": 69752271,\n  \"expenses\": 52626087,\n  \"net_income\": 18580243,\n  \"eps\": 1.63,\n  \"metrics\": {\n    \"profit_margin\": 23.4,\n    \"roe\": 21.22\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Taylor Ltd</company>\n<ticker>AOED</ticker>\n<quarter>Q1 2024</quarter>\n<revenue>69752271</revenue>\n<expenses>52626087</expenses>\n<net_income>18580243</net_income>\n<eps>1.63</eps>\n<metrics>\n<profit_margin>23.4</profit_margin>\n<roe>21.22</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-78526123\nplatform: twitter\nuser_id: 17596017-ad50-41af-8dc2-8746d15af00d\nusername: qsharp\ncontent: 'Seven behavior less water pretty.\n\n  Rock key include. Kind than game agreement.\n\n  Paper position reduce purpose I affect wait threat. Third effect newspaper before\n  include decision recently million.'\ntimestamp: '2026-01-07T13:51:27.460227'\nhashtags:\n- '#draw'\n- '#five'\n- '#culture'\n- '#sport'\nengagement:\n  likes: 1826\n  shares: 489\n  comments: 393\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9548003\"\npatient_mrn = \"MRN-322322\"\norder_date = \"2026-01-03\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 67.0\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 66.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 118.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 198.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 167.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 143.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 150.3\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Hill-Marsh</company>\n<ticker>ZFVR</ticker>\n<quarter>Q3 2024</quarter>\n<revenue>46703834</revenue>\n<expenses>77071880</expenses>\n<net_income>4141173</net_income>\n<eps>8.71</eps>\n<metrics>\n<profit_margin>28.84</profit_margin>\n<roe>14.06</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Hill-Marsh\",\n  \"ticker\": \"ZFVR\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 46703834,\n  \"expenses\": 77071880,\n  \"net_income\": 4141173,\n  \"eps\": 8.71,\n  \"metrics\": {\n    \"profit_margin\": 28.84,\n    \"roe\": 14.06\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"rating\": 2,\n  \"verified_purchase\": true,\n  \"helpful_votes\": 29,\n  \"date\": \"2026-01-01\",\n  \"user_id\": \"ed843147-0604-46c9-98b2-def8aa0c8a20\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,date,funding_source,helpful_votes,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title,user_id,verified_purchase\r\n,,,2026-01-01,,29,,,,,,2,,ed843147-0604-46c9-98b2-def8aa0c8a20,True\r\nMost local here bag determine style success. Manager test politics push page today. Late bank step P,\"[{\"\"name\"\": \"\"Melissa Mcneil\"\", \"\"affiliation\"\": \"\"Jones, Lindsey and Chapman\"\", \"\"email\"\": \"\"cindyschroeder@ex\",188,,None,,\"[\"\"who\"\", \"\"Mrs\"\", \"\"return\"\"]\",arXiv:2021.47194,10.2445/FRyK,Cell,2022,,Fully-configurable client-driven matrices,,\r\n\"World mother room environment.\nUp there rule tonight then raise. Reveal themselves probably sometime\",\"[{\"\"name\"\": \"\"Allison Jones\"\", \"\"affiliation\"\": \"\"Turner, Cabrera and Johnson\"\", \"\"email\"\": \"\"marshmichael@exam\",362,,Williams-Adams,,\"[\"\"same\"\", \"\"ten\"\", \"\"or\"\", \"\"listen\"\"]\",arXiv:2023.98741,10.7125/AJDL,Science,2022,,Focused zero administration interface,,\r\nFind instead soldier than beautiful important. Run successful address run.,\"[{\"\"name\"\": \"\"John Pierce\"\", \"\"affiliation\"\": \"\"Lopez-Casey\"\", \"\"email\"\": \"\"morrisjames@example.org\"\"}, {\"\"name\"\":\",288,,\"Smith, Steele and Richardson\",,\"[\"\"politics\"\", \"\"when\"\", \"\"human\"\", \"\"century\"\"]\",arXiv:2024.80910,10.6835/pbxd,Cell,2023,,Reduced stable matrix,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Thompson, Yang and Roberts\nticker: ATOM\nquarter: Q1 2022\nrevenue: 59725729\nexpenses: 36274579\nnet_income: 7802792\neps: 8.84\nmetrics:\n  profit_margin: 17.46\n  roe: 22.69\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<title>Effect of main on stand</title>\n<results>\n<metric>efficacy</metric>\n<baseline>50.39</baseline>\n<endpoint>61.09</endpoint>\n<p_value>0.3936</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>99.02</baseline>\n<endpoint>82.38</endpoint>\n<p_value>0.0752</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>94.16</baseline>\n<endpoint>58.56</endpoint>\n<p_value>0.1239</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>41.74</baseline>\n<endpoint>45.99</endpoint>\n<p_value>0.0661</p_value>\n</results>\n<experiment_id>EXP-681166</experiment_id>\n<methodology>\n<design>RCT</design>\n<sample_size>875</sample_size>\n<duration_days>212</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"title\": \"Effect of main on stand\",\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.39,\n      \"endpoint\": 61.09,\n      \"p_value\": 0.3936\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 99.02,\n      \"endpoint\": 82.38,\n      \"p_value\": 0.0752\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.16,\n      \"endpoint\": 58.56,\n      \"p_value\": 0.1239\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 41.74,\n      \"endpoint\": 45.99,\n      \"p_value\": 0.0661\n    }\n  ],\n  \"experiment_id\": \"EXP-681166\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 875,\n    \"duration_days\": 212\n  },\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 92d36993-19b1-4c19-9b64-8b4669c6636f\ntimestamp: '2026-01-07T13:51:27.222487'\nlevel: WARNING\nservice: voiceService\nmessage: Analysis beautiful attack blue eye.\nstack_trace:\n- at well.py:163\n- at will.py:421\n- at run.py:384\n- at TV.py:103\ncontext:\n  user_id: c92bcb8f-c109-47f8-aa13-b43737a1fc38\n  request_id: f4cb6737-30c9-41ef-814b-34c3ec971deb\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-422317\",\n  \"student_id\": \"STU-280699\",\n  \"course_id\": \"CRS-7308\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 83.59,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-78635818\nplatform: facebook\nuser_id: a739269a-9642-463c-9c88-cb97c795c8d8\nusername: kevin10\ncontent: Specific other kind choice. Condition main resource finish north reach with\n  break. Area strategy huge edge.\ntimestamp: '2026-01-07T13:51:25.965362'\nhashtags:\n- '#model'\n- '#firm'\nengagement:\n  likes: 3831\n  shares: 379\n  comments: 204\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Chair painting shake city kind good though. Find reality water support key.\nFly party couple product\",,2026-01-03,78,,,,PROD-375265,1,REV-7250124,,,,,Very responsibility coach economy sea public you.,48302d32-0445-4405-afc6-604ef6300782,True\r\nelectronics,,USD,,,True,Universal neutral function,429.38,PROD-319216,4.22,,148,65x94x100cm,21.4,416,,,\r\nclothing,,USD,,,True,Proactive maximized emulation,617.13,PROD-960862,4.88,,767,77x65x72cm,31.38,920,,,\r\nelectronics,,USD,,,True,Secured tertiary middleware,488.02,PROD-145422,4.57,,492,33x70x73cm,16.37,747,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nUse Mr only week. Crime form attention. Right world stand surface rate three.,4,9998,653,\"[\"\"#economic\"\", \"\"#speak\"\"]\",instagram,POST-64636774,2026-01-07T13:51:26.942814,180a1898-015f-483f-94a7-e771a6fb148e,melissa16\r\n\"Writer federal successful clear off customer. Season sea from first production might.\nWord accept jo\",335,511,57,\"[\"\"#why\"\", \"\"#person\"\", \"\"#hair\"\", \"\"#report\"\"]\",instagram,POST-70210719,2026-01-07T13:51:26.944069,66a30fd9-2e5b-4aee-b36c-f8023b183634,rmorrison\r\nMessage practice long eight course pretty try business. Thing school price black matter worker offic,93,6048,277,\"[\"\"#dinner\"\", \"\"#property\"\", \"\"#Congress\"\"]\",facebook,POST-57430305,2026-01-07T13:51:26.944466,c1cc934d-97e2-4193-b2a4-e9aa13791883,ashleyshepard\r\n\"Anyone though them she our. Table open camera raise.\nVery measure thus fish must audience exist. Pro\",233,2899,835,\"[\"\"#strategy\"\", \"\"#design\"\", \"\"#experience\"\", \"\"#win\"\"]\",twitter,POST-92749855,2026-01-07T13:51:26.944789,c7caaaa1-ad49-41d4-85b9-4891e07c47cc,ohawkins\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-577861</assessment_id>\n<student_id>STU-664280</student_id>\n<course_id>CRS-8099</course_id>\n<type>exam</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>52</total_score>\n<percentage>81.98</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-577861\",\n  \"student_id\": \"STU-664280\",\n  \"course_id\": \"CRS-8099\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 52,\n  \"percentage\": 81.98,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need customer review details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Result especially clearly enter research.\nHappy cold them plan. South save notice follow get true bu\",,2026-01-02,83,,,,PROD-822485,1,REV-5732059,,,,,Receive effort magazine still choice certain.,a1c27e60-91c7-4a9f-adf0-657cca0c8fab,True\r\nclothing,,USD,,,True,Enterprise-wide dynamic functionalities,765.95,PROD-323373,1.92,,178,56x16x70cm,45.06,510,,,\r\nclothing,,USD,,,True,Organic zero administration data-warehouse,965.1,PROD-648226,3.39,,564,44x96x13cm,2.29,436,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-330074</experiment_id>\n<title>Effect of politics on stop</title>\n<methodology>\n<design>RCT</design>\n<sample_size>328</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.54</baseline>\n<endpoint>53.32</endpoint>\n<p_value>0.0487</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>10.4</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.1164</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>78.27</baseline>\n<endpoint>47.78</endpoint>\n<p_value>0.0781</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-330074\",\n  \"title\": \"Effect of politics on stop\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 328,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.54,\n      \"endpoint\": 53.32,\n      \"p_value\": 0.0487\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 10.4,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.1164\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 78.27,\n      \"endpoint\": 47.78,\n      \"p_value\": 0.0781\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7665793</rx_id>\n<patient_mrn>MRN-934255</patient_mrn>\n<prescriber>Danielle Brown</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-818679\ntitle: Effect of begin on task\nmethodology:\n  design: RCT\n  sample_size: 180\n  duration_days: 157\nresults:\n- metric: safety\n  baseline: 17.77\n  endpoint: 32.37\n  p_value: 0.477\n- metric: safety\n  baseline: 20.98\n  endpoint: 13.84\n  p_value: 0.2984\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-23430167\ncustomer_id: 7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\ntimestamp: '2026-01-07T13:51:26.046328'\nitems:\n- sku: SKU-63492\n  qty: 1\n  price: 90.17\n- sku: SKU-56350\n  qty: 5\n  price: 336.79\nsubtotal: 152.9\ntax: 14.6\ntotal: 796.85\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-5160762\",\n  \"patient_mrn\": \"MRN-568012\",\n  \"prescriber\": \"Linda Gonzalez\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5160762</rx_id>\n<patient_mrn>MRN-568012</patient_mrn>\n<prescriber>Linda Gonzalez</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate product listing data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-831490\",\n  \"name\": \"Seamless optimal task-force\",\n  \"category\": \"electronics\",\n  \"price\": 975.8,\n  \"currency\": \"USD\",\n  \"stock\": 924,\n  \"is_available\": true,\n  \"rating\": 2.71,\n  \"reviews\": 121,\n  \"specs\": {\n    \"weight_kg\": 17.77,\n    \"dimensions\": \"52x27x46cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-66277640</post_id>\n<platform>instagram</platform>\n<user_id>7e83a029-16e2-49ad-a855-906c882abe46</user_id>\n<username>reynoldstaylor</username>\n<content>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.</content>\n<timestamp>2026-01-07T13:51:26.676406</timestamp>\n<hashtags>#case</hashtags>\n<hashtags>#along</hashtags>\n<hashtags>#only</hashtags>\n<hashtags>#have</hashtags>\n<engagement>\n<likes>9942</likes>\n<shares>119</shares>\n<comments>368</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nstudent_id = \"STU-272846\"\nassessment_id = \"ASMT-449365\"\ncourse_id = \"CRS-7384\"\npercentage = 93.41\n[[scores]]\nquestion = 1\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 4\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\nerror_id: ff91c212-6cce-4ac2-978d-0740381882de\ntimestamp: '2026-01-07T13:51:27.679071'\nlevel: WARNING\nservice: drawService\nmessage: Support red list product forget cut speak.\nstack_trace:\n- at girl.py:186\n- at hold.py:186\ncontext:\n  user_id: 473e683b-291e-461f-b848-d224b7dcbd8b\n  request_id: 454a35ad-23ee-42a8-9d57-dbf5cedbef74\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"ff91c212-6cce-4ac2-978d-0740381882de\",\n  \"timestamp\": \"2026-01-07T13:51:27.679071\",\n  \"level\": \"WARNING\",\n  \"service\": \"drawService\",\n  \"message\": \"Support red list product forget cut speak.\",\n  \"stack_trace\": [\n    \"at girl.py:186\",\n    \"at hold.py:186\"\n  ],\n  \"context\": {\n    \"user_id\": \"473e683b-291e-461f-b848-d224b7dcbd8b\",\n    \"request_id\": \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Brooks LLC\"\nticker = \"HFOB\"\nquarter = \"Q1 2020\"\nrevenue = 30917299\nexpenses = 61265128\nnet_income = 10426094\neps = 3.56\n\n[metrics]\nprofit_margin = 26.89\nroe = 20.49\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 941227, \"\"growth\"\": 26.4}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 937409, \"\"gr\",,,,,June 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-2900\"\", \"\"sales\"\": 81858}, {\"\"sku\"\": \"\"SKU-8266\"\", \"\"sales\"\": 123988}, {\"\"sku\"\": \"\"SKU-9969\"\", \"\"sal\",5319249,96009\r\nDecide loss another political city. Nature election effort sport technology.,\"[{\"\"name\"\": \"\"Emily Edwards\"\", \"\"affiliation\"\": \"\"Fox-Hughes\"\", \"\"email\"\": \"\"christiewolfe@example.org\"\"}, {\"\"nam\",,25,Khan Ltd,\"[\"\"nearly\"\", \"\"threat\"\", \"\"professor\"\", \"\"explain\"\", \"\"involve\"\"]\",arXiv:2023.29703,,10.1486/taKX,Science,2024,Progressive clear-thinking implementation,,,\r\n\"Admit medical drop his ahead become.\nWind note father. World early else compare member live. Perform\",\"[{\"\"name\"\": \"\"Lorraine Chase\"\", \"\"affiliation\"\": \"\"Willis, Watson and Coffey\"\", \"\"email\"\": \"\"zavalacharles@exam\",,104,None,\"[\"\"thing\"\", \"\"stay\"\", \"\"happy\"\", \"\"government\"\", \"\"charge\"\"]\",arXiv:2021.21853,,10.2254/mSEO,Science,2022,Multi-lateral value-added function,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2024</period>\n<total_revenue>5319249</total_revenue>\n<units_sold>96009</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>941227</revenue>\n<growth>26.4</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>937409</revenue>\n<growth>30.07</growth>\n</channels>\n<top_products>\n<sku>SKU-2900</sku>\n<sales>81858</sales>\n</top_products>\n<top_products>\n<sku>SKU-8266</sku>\n<sales>123988</sales>\n</top_products>\n<top_products>\n<sku>SKU-9969</sku>\n<sales>32400</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate prescription data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-06</date>\n<patient_mrn>MRN-259808</patient_mrn>\n<rx_id>RX-8539167</rx_id>\n<prescriber>Joseph Griffin</prescriber>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.18284\"\ntitle = \"Adaptive encompassing artificial intelligence\"\nabstract = \"Glass amount again church maintain. Difference week think respond natural administration. Get should account head line now.\"\nkeywords = [ \"election\", \"design\", \"PM\",]\ncitations = 5\nfunding_source = \"Martinez, Ayers and Bowman\"\n[[authors]]\nname = \"Amanda Chavez\"\naffiliation = \"Russell, Mejia and Barton\"\nemail = \"hmiller@example.com\"\n\n[[authors]]\nname = \"Benjamin Shah\"\naffiliation = \"Allen-Pena\"\nemail = \"wyoung@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2023\ndoi = \"10.8286/QBBW\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-475777,,CRS-2241,,2026-01-06,B,,,,,81.54,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-613124,,,75,assignment\r\n,XQE465,CRS-2146,3,,,40,30,30,Jasmin Reyes,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"network\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"site\"\"}, {\"\"week\"\"\",,,Fall 2020,Organized reciprocal middleware 101,,\r\n,FAD215,CRS-7496,4,,,40,30,30,Jessica Davenport MD,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"watch\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"recently\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"family\"\"}, {\"\"\",,,Fall 2020,Open-source zero tolerance software 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-475777\"\nstudent_id = \"STU-613124\"\ncourse_id = \"CRS-2241\"\ntype = \"assignment\"\ndate = \"2026-01-06\"\ntotal_score = 75\npercentage = 81.54\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>2d978d26-6fd7-4641-b202-43ebc0760711</error_id>\n<timestamp>2026-01-07T13:51:26.663970</timestamp>\n<level>WARNING</level>\n<service>someoneService</service>\n<message>Inside live none value unit Republican black.</message>\n<stack_trace>at role.py:276</stack_trace>\n<stack_trace>at loss.py:371</stack_trace>\n<context>\n<user_id>26f1b94c-c76e-47ab-9121-a3f8ec11053f</user_id>\n<request_id>ce096dca-f53f-40bf-822d-ed29d8ca8dd9</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-8331,3,,,,James Castillo,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"create\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"should\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"within\"\"}, {\"\"w\",,\r\nZXQ170,CRS-6018,3,40,30,30,Richard Todd,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"example\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"along\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"season\"\"}, {\"\"w\",Fall 2024,Vision-oriented disintermediate Graphical User Interface 101\r\nPHM440,CRS-8694,3,40,30,30,Marcus Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"performance\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"add\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"where\"\"}, {\"\"\",Fall 2021,Seamless impactful synergy 101\r\nLKL463,CRS-5904,3,40,30,30,Jessica Barr,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"suffer\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"certainly\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"five\"\"}, {\"\"\",Spring 2022,Virtual human-resource frame 101\r\nQXC331,CRS-9112,3,40,30,30,Tiffany Guzman,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"pull\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"summer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"collection\"\"}, {\",Spring 2022,Distributed multi-tasking methodology 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Function-based dedicated installation,364.53,PROD-738287,1.64,854,48x33x88cm,19.72,956\r\nelectronics,USD,True,Quality-focused holistic forecast,453.49,PROD-220410,3.4,204,71x68x73cm,22.05,907\r\nelectronics,USD,True,Synchronized high-level implementation,551.15,PROD-194348,2.7,28,21x96x93cm,12.15,925\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9047593</result_id>\n<patient_mrn>MRN-478989</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>171.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>58.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>78.7</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>138.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>51.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CMP,MRN-478989,LAB-9047593,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 171.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\":\"\r\n2026-01-03,Lipid,MRN-622487,LAB-3048095,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 94.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 10\"\r\n2026-01-01,CBC,MRN-703796,LAB-6971075,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 107.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 1\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-9529513\",\n  \"product_id\": \"PROD-542599\",\n  \"user_id\": \"67bb80c4-7c72-4c1b-886f-8186f18f45e3\",\n  \"rating\": 3,\n  \"title\": \"Money face statement talk day.\",\n  \"content\": \"Candidate stuff mission end nature hundred. Recently game stage agreement. Seem central blood add environment several.\\nSet less job reveal protect. Similar second staff owner international major.\",\n  \"date\": \"2026-01-01\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 8\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9529513</review_id>\n<product_id>PROD-542599</product_id>\n<user_id>67bb80c4-7c72-4c1b-886f-8186f18f45e3</user_id>\n<rating>3</rating>\n<title>Money face statement talk day.</title>\n<content>Candidate stuff mission end nature hundred. Recently game stage agreement. Seem central blood add environment several.\nSet less job reveal protect. Similar second staff owner international major.</content>\n<date>2026-01-01</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>8</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate error log data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"92d36993-19b1-4c19-9b64-8b4669c6636f\"\ntimestamp = \"2026-01-07T13:51:27.222487\"\nlevel = \"WARNING\"\nservice = \"voiceService\"\nmessage = \"Analysis beautiful attack blue eye.\"\nstack_trace = [ \"at well.py:163\", \"at will.py:421\", \"at run.py:384\", \"at TV.py:103\",]\n\n[context]\nuser_id = \"c92bcb8f-c109-47f8-aa13-b43737a1fc38\"\nrequest_id = \"f4cb6737-30c9-41ef-814b-34c3ec971deb\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"message\": \"Baby inside high our should character study quickly.\",\n  \"stack_trace\": [\n    \"at standard.py:486\",\n    \"at memory.py:53\",\n    \"at team.py:342\"\n  ],\n  \"context\": {\n    \"user_id\": \"b89e754b-fd03-47c7-9600-09a7cb6d3517\",\n    \"request_id\": \"0aea7b7e-f431-4209-a4db-008320d27043\"\n  },\n  \"timestamp\": \"2026-01-07T13:51:25.507604\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate news article data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-8668047\"\nheadline = \"Seamless local alliance\"\nauthor = \"Alyssa Moore\"\npublished = \"2026-01-02T06:22:52.413807\"\nsection = \"Business\"\ncontent = \"Billion up year window similar. Oil two resource next. If this tough pattern.\\nRule year push international.\\nReceive charge movie remember hear theory stuff explain. Century animal decide everyone direction rather. Month property rock environment fine such hand remain.\"\ntags = [ \"traditional\", \"wish\", \"little\", \"inside\", \"year\",]\nviews = 55093\nshares = 3713\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Robust foreground policy API\"\nversion = \"1.0.0\"\n\n[paths.\"/Congress\".get]\nsummary = \"Fly medical strong such season book.\"\n[[paths.\"/Congress\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/Congress\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/Congress\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/Congress\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-72432123</txn_id>\n<customer_id>d14101dd-b47b-4916-b7e5-0ad54eefbb55</customer_id>\n<timestamp>2026-01-07T13:51:26.808008</timestamp>\n<items>\n<sku>SKU-29323</sku>\n<qty>2</qty>\n<price>70.49</price>\n</items>\n<items>\n<sku>SKU-65460</sku>\n<qty>3</qty>\n<price>466.32</price>\n</items>\n<items>\n<sku>SKU-59283</sku>\n<qty>1</qty>\n<price>149.96</price>\n</items>\n<items>\n<sku>SKU-68579</sku>\n<qty>2</qty>\n<price>13.04</price>\n</items>\n<subtotal>1301.16</subtotal>\n<tax>124.54</tax>\n<total>239.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-72432123\",\n  \"customer_id\": \"d14101dd-b47b-4916-b7e5-0ad54eefbb55\",\n  \"timestamp\": \"2026-01-07T13:51:26.808008\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-29323\",\n      \"qty\": 2,\n      \"price\": 70.49\n    },\n    {\n      \"sku\": \"SKU-65460\",\n      \"qty\": 3,\n      \"price\": 466.32\n    },\n    {\n      \"sku\": \"SKU-59283\",\n      \"qty\": 1,\n      \"price\": 149.96\n    },\n    {\n      \"sku\": \"SKU-68579\",\n      \"qty\": 2,\n      \"price\": 13.04\n    }\n  ],\n  \"subtotal\": 1301.16,\n  \"tax\": 124.54,\n  \"total\": 239.49,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.67735\",\n  \"title\": \"Optimized even-keeled conglomeration\",\n  \"authors\": [\n    {\n      \"name\": \"Garrett Contreras\",\n      \"affiliation\": \"Drake-Dunn\",\n      \"email\": \"sandrapineda@example.net\"\n    },\n    {\n      \"name\": \"Ryan Bell\",\n      \"affiliation\": \"Ramos, Gates and Reed\",\n      \"email\": \"kdavis@example.net\"\n    },\n    {\n      \"name\": \"Cindy Silva\",\n      \"affiliation\": \"Bryant, Pratt and Henderson\",\n      \"email\": \"fmiller@example.net\"\n    }\n  ],\n  \"abstract\": \"Sort suffer stand purpose six resource. Forward hard officer film the word human first.\",\n  \"keywords\": [\n    \"attack\",\n    \"not\",\n    \"describe\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.7544/lKSL\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Wood, Baldwin and Cain\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I32\"\"}]\",headache,2026-01-04,CN-6224145,88,F,MRN-560569,119/73,63,100.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J55\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J65\"\"}, {\"\"problem\",chest pain,2026-01-06,CN-8316209,48,F,MRN-849962,107/82,96,97.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J66\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J57\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-2758349,68,F,MRN-160095,164/81,115,100.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"234c0781-6e40-4e46-8b0d-ad1b39309eb0\"\ntimestamp = \"2026-01-07T13:51:25.659911\"\nlevel = \"WARNING\"\nservice = \"beyondService\"\nmessage = \"Section material entire top community.\"\nstack_trace = [ \"at reason.py:320\", \"at always.py:365\", \"at red.py:27\",]\n\n[context]\nuser_id = \"6765bd92-f82e-426f-a383-fa0a088a0752\"\nrequest_id = \"4ccfb0b5-8185-4d26-902a-0379b3534400\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-393268\",\n  \"title\": \"Effect of themselves on time\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 237,\n    \"duration_days\": 116\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.76,\n      \"endpoint\": 73.98,\n      \"p_value\": 0.4055\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 70.26,\n      \"endpoint\": 84.17,\n      \"p_value\": 0.253\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.1,\n      \"endpoint\": 56.91,\n      \"p_value\": 0.1172\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-8407015\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K39\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K62\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I46\"\n\n[vitals]\nbp = \"141/81\"\nhr = 63\ntemp_f = 102.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following CSV to XML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}]\",fever,2026-01-06,CN-7237025,53,F,MRN-276187,95/82,103,102.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J61\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J13\"\"}]\",headache,2026-01-04,CN-4133145,71,M,MRN-677478,92/71,64,101.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K78\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J94\"\"}]\",headache,2026-01-05,CN-9624578,49,F,MRN-343832,176/78,116,97.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I14\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K62\"\"}, {\"\"problem\",chest pain,2026-01-01,CN-3195889,20,F,MRN-415814,159/110,79,99.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K86\"\"}]\",chest pain,2026-01-01,CN-5641625,78,M,MRN-335317,164/63,118,101.9\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7237025</note_id>\n<patient>\n<mrn>MRN-276187</mrn>\n<age>53</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>95/82</bp>\n<hr>103</hr>\n<temp_f>102.9</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.59386\ntitle: Self-enabling demand-driven application\nauthors:\n- name: Keith Wilcox\n  affiliation: Ruiz-Torres\n  email: martinstephanie@example.org\n- name: Jennifer Mccoy\n  affiliation: Thompson-Marshall\n  email: brianvelasquez@example.org\nabstract: Before today call network oil future. Admit itself catch song various rest.\n  Personal worry quality director.\nkeywords:\n- song\n- TV\n- southern\npublication:\n  venue: Nature\n  year: 2020\n  doi: 10.1369/MikD\ncitations: 274\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<paths>\n</population>\n<get>\n<summary>Lead room develop man according street century.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//population>\n</paths>\n<info>\n<title>Ameliorated radical initiative API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2022</period>\n<total_revenue>4880286</total_revenue>\n<units_sold>74173</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2000312</revenue>\n<growth>0.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3751658</revenue>\n<growth>-3.19</growth>\n</channels>\n<top_products>\n<sku>SKU-6977</sku>\n<sales>264067</sales>\n</top_products>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>443161</sales>\n</top_products>\n<top_products>\n<sku>SKU-1793</sku>\n<sales>209512</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-2317847\"\npatient_mrn = \"MRN-412331\"\nprescriber = \"Tammy Adams\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate prescription data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-1795504\",\n  \"patient_mrn\": \"MRN-355763\",\n  \"prescriber\": \"Henry Padilla\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.93852</paper_id>\n<title>Reactive solution-oriented circuit</title>\n<authors>\n<name>Jennifer Gray</name>\n<affiliation>Bryant, Lewis and Wells</affiliation>\n<email>spalmer@example.com</email>\n</authors>\n<authors>\n<name>David Brown</name>\n<affiliation>Cortez, Cook and Ross</affiliation>\n<email>melvin21@example.com</email>\n</authors>\n<abstract>Law fund huge better or. Federal forward north law. Work available call never.\nCarry cultural day front resource write. Southern white pattern fear.</abstract>\n<keywords>wind</keywords>\n<keywords>wife</keywords>\n<keywords>report</keywords>\n<keywords>financial</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.1277/DPuH</doi>\n</publication>\n<citations>45</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-7237\ncode: JRB382\ntitle: Decentralized motivating standardization 101\ninstructor: Ryan Jenkins\ncredits: 3\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: throughout\n- week: 2\n  topic: buy\n- week: 3\n  topic: beat\n- week: 4\n  topic: site\n- week: 5\n  topic: bank\n- week: 6\n  topic: reach\n- week: 7\n  topic: set\n- week: 8\n  topic: today\n- week: 9\n  topic: responsibility\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3124\"\ncode = \"DWP236\"\ntitle = \"Profit-focused bifurcated standardization 101\"\ninstructor = \"Mary Adkins\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"when\"\n\n[[schedule]]\nweek = 2\ntopic = \"central\"\n\n[[schedule]]\nweek = 3\ntopic = \"upon\"\n\n[[schedule]]\nweek = 4\ntopic = \"address\"\n\n[[schedule]]\nweek = 5\ntopic = \"bag\"\n\n[[schedule]]\nweek = 6\ntopic = \"less\"\n\n[[schedule]]\nweek = 7\ntopic = \"billion\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"customer_id\": \"5642be10-2f96-4bf3-93bb-ea73b498db7e\",\n  \"timestamp\": \"2026-01-07T13:51:27.704310\",\n  \"total\": 2159.3,\n  \"tax\": 150.65,\n  \"items\": [\n    {\n      \"sku\": \"SKU-21107\",\n      \"qty\": 2,\n      \"price\": 436.86\n    },\n    {\n      \"sku\": \"SKU-34269\",\n      \"qty\": 3,\n      \"price\": 260.71\n    },\n    {\n      \"sku\": \"SKU-81249\",\n      \"qty\": 3,\n      \"price\": 416.92\n    },\n    {\n      \"sku\": \"SKU-97216\",\n      \"qty\": 3,\n      \"price\": 177.96\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,items,keywords,paper_id,publication_doi,publication_venue,publication_year,tax,timestamp,title,total\r\n,,,5642be10-2f96-4bf3-93bb-ea73b498db7e,,\"[{\"\"sku\"\": \"\"SKU-21107\"\", \"\"qty\"\": 2, \"\"price\"\": 436.86}, {\"\"sku\"\": \"\"SKU-34269\"\", \"\"qty\"\": 3, \"\"price\"\": 260.71}, {\",,,,,,150.65,2026-01-07T13:51:27.704310,,2159.3\r\n\"Yard apply high change speech boy. Floor already ahead PM drop real.\nYou then official suddenly. Thi\",\"[{\"\"name\"\": \"\"Sharon Mcdaniel\"\", \"\"affiliation\"\": \"\"Berry, Adams and Christensen\"\", \"\"email\"\": \"\"boyerdavid@exa\",227,,None,,\"[\"\"land\"\", \"\"mission\"\", \"\"environmental\"\", \"\"could\"\", \"\"tonight\"\"]\",arXiv:2020.46946,10.4271/lenY,Cell,2023,,,Sharable background portal,\r\nBe accept technology investment style. What past available certainly cause become form world.,\"[{\"\"name\"\": \"\"Shane Steele\"\", \"\"affiliation\"\": \"\"Lopez PLC\"\", \"\"email\"\": \"\"zmiller@example.net\"\"}, {\"\"name\"\": \"\"Rob\",45,,Lloyd-Marshall,,\"[\"\"southern\"\", \"\"responsibility\"\", \"\"organization\"\"]\",arXiv:2021.62540,10.7067/TvwA,Cell,2021,,,Fully-configurable stable conglomeration,\r\nParticipant note third receive discussion. Television level rather scientist yeah government friend.,\"[{\"\"name\"\": \"\"Kelly Washington\"\", \"\"affiliation\"\": \"\"Martin Inc\"\", \"\"email\"\": \"\"wagnercourtney@example.org\"\"}, {\",219,,None,,\"[\"\"experience\"\", \"\"everything\"\", \"\"security\"\", \"\"factor\"\"]\",arXiv:2023.35056,10.1679/brVn,Science,2020,,,Seamless zero administration knowledgebase,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\"\ntimestamp = \"2026-01-07T13:51:26.554266\"\nlevel = \"ERROR\"\nservice = \"heartService\"\nmessage = \"Attack candidate in give wish tree.\"\nstack_trace = [ \"at thousand.py:354\", \"at forget.py:20\", \"at consider.py:392\",]\n\n[context]\nuser_id = \"d753ac0c-8931-4c37-8bd5-01413aaaba41\"\nrequest_id = \"b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-619223,2026-01-03,\"[{\"\"name\"\": \"\"Mcdaniel LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hunt-Bowman\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,21,87478\r\nCTR-950216,2026-01-05,\"[{\"\"name\"\": \"\"Espinoza PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Moreno, Bean and Simpson\"\", \"\"role\"\": \"\"party_b\"\"\",active,55,613104\r\nCTR-287645,2026-01-06,\"[{\"\"name\"\": \"\"Phillips and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Shah LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,22,684985\r\nCTR-495460,2026-01-05,\"[{\"\"name\"\": \"\"Stone, Ashley and Gomez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Torres LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,33,184441\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8668047,Alyssa Moore,\"Billion up year window similar. Oil two resource next. If this tough pattern.\nRule year push interna\",Seamless local alliance,2026-01-02T06:22:52.413807,Business,3713,\"[\"\"traditional\"\", \"\"wish\"\", \"\"little\"\", \"\"inside\"\", \"\"year\"\"]\",55093\r\nART-9186075,Anthony Hernandez,Control manage popular but suffer within. Size agreement they much. You mean process determine occur,Synchronized intermediate capability,2026-01-07T02:14:37.387739,Politics,1548,\"[\"\"way\"\", \"\"rest\"\", \"\"meet\"\"]\",14504\r\nART-1983056,David Hogan,\"Occur environment operation network high result me. Meeting game from space perhaps.\nSpecial these l\",Multi-lateral uniform Graphical User Interface,2026-01-02T04:00:24.249660,Tech,1930,\"[\"\"student\"\", \"\"meet\"\", \"\"page\"\"]\",55569\r\nART-4083492,Julian Wong,\"Land cup director similar source make put through. Travel sound sport machine.\nJoin decade managemen\",Profit-focused needs-based support,2026-01-02T22:17:44.304849,Politics,972,\"[\"\"whose\"\", \"\"song\"\", \"\"speak\"\", \"\"evening\"\", \"\"recently\"\"]\",27239\r\nART-6678076,Jordan Walker,\"Describe present gun floor PM always or. Cause water consumer number at.\nWest sport dog its agency y\",Re-contextualized real-time groupware,2026-01-07T00:37:46.612036,Politics,485,\"[\"\"much\"\", \"\"writer\"\", \"\"its\"\", \"\"read\"\"]\",69365\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-8547948\npatient_mrn: MRN-375584\norder_date: '2026-01-05'\npanel: Lipid\nresults:\n- test: WBC\n  value: 136.4\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 110.1\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 77.6\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 164.2\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 53.3\n  unit: g/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Cross-group bottom-line algorithm API\"\nversion = \"1.0.0\"\n\n[paths.\"/rule\".get]\nsummary = \"Center available level environment per away author\"\n[[paths.\"/rule\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/rule\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/rule\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/rule\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate customer review data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2575466</review_id>\n<product_id>PROD-346187</product_id>\n<user_id>320eb87e-12bd-44ab-bb47-6fec45bd5144</user_id>\n<rating>1</rating>\n<title>Possible modern last rate memory fight conference </title>\n<content>Character walk loss rock me social gun.\nCenter choice either push. Push stop yourself.</content>\n<date>2026-01-01</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>26</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-23430167\"\ncustomer_id = \"7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\"\ntimestamp = \"2026-01-07T13:51:26.046328\"\nsubtotal = 152.9\ntax = 14.6\ntotal = 796.85\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-63492\"\nqty = 1\nprice = 90.17\n\n[[items]]\nsku = \"SKU-56350\"\nqty = 5\nprice = 336.79\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nerror_id = \"249c5a8d-effc-4f5a-9a18-79860cd86eba\"\ntimestamp = \"2026-01-07T13:51:25.844189\"\nlevel = \"CRITICAL\"\nservice = \"createService\"\nmessage = \"Capital carry as agree member lead one.\"\nstack_trace = [ \"at sign.py:359\", \"at college.py:115\", \"at try.py:133\",]\n\n[context]\nuser_id = \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\"\nrequest_id = \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"249c5a8d-effc-4f5a-9a18-79860cd86eba\",\n  \"timestamp\": \"2026-01-07T13:51:25.844189\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"createService\",\n  \"message\": \"Capital carry as agree member lead one.\",\n  \"stack_trace\": [\n    \"at sign.py:359\",\n    \"at college.py:115\",\n    \"at try.py:133\"\n  ],\n  \"context\": {\n    \"user_id\": \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\",\n    \"request_id\": \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Inverse regional Internet solution,434.39,PROD-225267,2.18,635,91x19x67cm,14.56,825\r\nelectronics,USD,True,Fully-configurable exuding collaboration,221.43,PROD-568075,2.2,509,81x88x36cm,15.22,675\r\nelectronics,USD,True,Ergonomic background conglomeration,601.19,PROD-296313,2.15,634,10x83x15cm,31.12,759\r\nbooks,USD,True,Profit-focused exuding software,242.02,PROD-223979,3.06,759,84x64x98cm,41.63,305\r\nclothing,USD,True,Right-sized object-oriented portal,984.21,PROD-896225,3.85,370,35x87x17cm,21.45,355\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-993265\"\nstudent_id = \"STU-666988\"\ncourse_id = \"CRS-9161\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 74\npercentage = 73.5\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-9733347\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I43\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I44\"\n\n[patient]\nmrn = \"MRN-447984\"\nage = 45\ngender = \"M\"\n\n[vitals]\nbp = \"136/74\"\nhr = 68\ntemp_f = 98.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Organic homogeneous functionalities API\"\nversion = \"1.0.0\"\n\n[paths.\"/adult\".get]\nsummary = \"Choice whatever five artist evidence produce.\"\n[[paths.\"/adult\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/adult\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/adult\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nperiod = \"February 2022\"\ntotal_revenue = 6033804\nunits_sold = 27183\n[[channels]]\nname = \"wholesale\"\nrevenue = 4147239\ngrowth = 40.37\n\n[[channels]]\nname = \"online\"\nrevenue = 2663137\ngrowth = 9.96\n\n[[top_products]]\nsku = \"SKU-2538\"\nsales = 420940\n\n[[top_products]]\nsku = \"SKU-8680\"\nsales = 364206\n\n[[top_products]]\nsku = \"SKU-2062\"\nsales = 350623\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2022\",\n  \"total_revenue\": 6033804,\n  \"units_sold\": 27183,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4147239,\n      \"growth\": 40.37\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2663137,\n      \"growth\": 9.96\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2538\",\n      \"sales\": 420940\n    },\n    {\n      \"sku\": \"SKU-8680\",\n      \"sales\": 364206\n    },\n    {\n      \"sku\": \"SKU-2062\",\n      \"sales\": 350623\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Key Mrs say because walk old certainly. Product figure event choice.\nSkill cut plan per side same. B\",,2026-01-06,66,,,,PROD-601157,3,REV-5650887,,,,,Personal order single check off but my.,ac7725ae-2567-44d1-8d40-a64432b9801b,True\r\nelectronics,,USD,,,True,Multi-layered fault-tolerant productivity,456.19,PROD-414587,2.68,,735,85x11x53cm,47.84,222,,,\r\nelectronics,,USD,,,True,Grass-roots user-facing utilization,45.36,PROD-511891,1.02,,406,57x100x12cm,24.99,127,,,\r\nbooks,,USD,,,True,Organized uniform framework,542.47,PROD-868450,4.92,,198,14x78x46cm,49.35,64,,,\r\nelectronics,,USD,,,True,Optimized 6thgeneration conglomeration,344.61,PROD-321388,4.31,,862,77x97x47cm,1.3,967,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"d03afc03-94bd-4dbb-bf49-9cda441c119b\",\n  \"timestamp\": \"2026-01-07T13:51:25.952127\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"fromService\",\n  \"message\": \"Add perform politics some card score brother.\",\n  \"stack_trace\": [\n    \"at send.py:152\",\n    \"at young.py:309\"\n  ],\n  \"context\": {\n    \"user_id\": \"2b3e5573-7b69-4807-a899-cbaa4adadf38\",\n    \"request_id\": \"beac9c14-4ae5-407d-9aae-d7a56f6790f6\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-302243\"\ntitle = \"Effect of our on star\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 81.34\nendpoint = 43.91\np_value = 0.2947\n\n[[results]]\nmetric = \"safety\"\nbaseline = 93.65\nendpoint = 53.68\np_value = 0.0495\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 70.64\nendpoint = 78.83\np_value = 0.4931\n\n[methodology]\ndesign = \"observational\"\nsample_size = 432\nduration_days = 102\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Thousand book animal myself wear beautiful. Room rock couple reality her.\nJoin town travel agency va\",368,9942,119,\"[\"\"#case\"\", \"\"#along\"\", \"\"#only\"\", \"\"#have\"\"]\",instagram,POST-66277640,2026-01-07T13:51:26.676406,7e83a029-16e2-49ad-a855-906c882abe46,reynoldstaylor\r\n\"Option church list quite base lot along. When performance training us add ever first.\nDrop state mon\",376,7803,668,\"[\"\"#wall\"\", \"\"#later\"\", \"\"#certainly\"\", \"\"#hot\"\"]\",twitter,POST-92619883,2026-01-07T13:51:26.677878,4ae4b898-9469-4955-a73d-92323512c74d,qpierce\r\n\"Minute according add through environmental.\nLike information area call level heart. Scientist small \",282,4413,789,\"[\"\"#probably\"\", \"\"#hard\"\"]\",facebook,POST-93375185,2026-01-07T13:51:26.678194,bab97434-ba20-4bf9-bcad-9f85bddbdf90,achandler\r\nProvide most television low dinner television. Both important speech finally whether your. Within of,473,9636,586,\"[\"\"#evening\"\", \"\"#easy\"\", \"\"#reflect\"\"]\",twitter,POST-84786736,2026-01-07T13:51:26.678659,c115d6a2-7864-43c0-a8af-c61de4fa490b,williamskyle\r\nHead pressure view recently central lawyer.,473,4366,759,\"[\"\"#democratic\"\", \"\"#reason\"\", \"\"#while\"\"]\",twitter,POST-36938532,2026-01-07T13:51:26.679076,a872cf43-c2a5-4280-9c56-e4b859821dfe,peterdecker\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-90196326</post_id>\n<platform>facebook</platform>\n<user_id>146c178d-e548-4357-8cd4-e8464cea2f9b</user_id>\n<username>kevincunningham</username>\n<content>Three would identify method across operation opportunity.\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\nCentral thus simple thousand morning.</content>\n<timestamp>2026-01-07T13:51:26.698310</timestamp>\n<hashtags>#pay</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>458</likes>\n<shares>383</shares>\n<comments>63</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>a016c8d2-6aba-435a-ab46-60ac8aacf0a5</error_id>\n<timestamp>2026-01-07T13:51:26.006823</timestamp>\n<level>CRITICAL</level>\n<service>currentService</service>\n<message>Well nation stay number now but.</message>\n<stack_trace>at daughter.py:364</stack_trace>\n<stack_trace>at same.py:66</stack_trace>\n<context>\n<user_id>432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5</user_id>\n<request_id>4ed63374-fc09-4101-b987-4a8ee575fee3</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<engagement>\n<likes>6676</likes>\n<shares>196</shares>\n<comments>84</comments>\n</engagement>\n<username>nicholasalvarez</username>\n<post_id>POST-61351209</post_id>\n<hashtags>#pretty</hashtags>\n<hashtags>#admit</hashtags>\n<hashtags>#available</hashtags>\n<user_id>5e546096-8461-4a3f-84e6-813e9e89a39c</user_id>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"engagement\": {\n    \"likes\": 6676,\n    \"shares\": 196,\n    \"comments\": 84\n  },\n  \"username\": \"nicholasalvarez\",\n  \"post_id\": \"POST-61351209\",\n  \"hashtags\": [\n    \"#pretty\",\n    \"#admit\",\n    \"#available\"\n  ],\n  \"user_id\": \"5e546096-8461-4a3f-84e6-813e9e89a39c\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Try system possible ball.\nMorning interview respond service claim voice international. Likely next a\",396,7505,513,\"[\"\"#argue\"\", \"\"#brother\"\", \"\"#and\"\"]\",twitter,POST-86136198,2026-01-06T09:43:32.853135,3fc1294e-2839-49b6-8631-92455943ed7f,martinchristopher\r\n\"Land note think officer offer read wonder. Western the draw room. Rock list soon fill also.\nFive civ\",282,3400,835,\"[\"\"#personal\"\", \"\"#I\"\"]\",instagram,POST-51325481,2026-01-06T09:43:32.855479,28e73b8d-bc13-4e7f-be8d-1792c5dc3541,johnny90\r\nDiscuss may see side us believe identify. Civil marriage beyond toward nice hit throw.,468,7975,138,\"[\"\"#three\"\", \"\"#condition\"\", \"\"#city\"\", \"\"#agency\"\"]\",facebook,POST-36772873,2026-01-06T09:43:32.857657,30a867e8-3da5-4ce3-aee0-3d0486718807,beckyrodriguez\r\n\"Agreement keep above plant test.\nParty upon know pressure charge. Away analysis phone walk alone ind\",191,8034,410,\"[\"\"#dream\"\", \"\"#happy\"\", \"\"#cell\"\"]\",instagram,POST-36834557,2026-01-06T09:43:32.858444,166bacdf-7167-4aa0-b837-6d5e99370994,williamsonscott\r\nHigh talk catch actually behind under store word. Phone everyone training light marriage. Test preve,395,8121,93,\"[\"\"#clearly\"\", \"\"#treat\"\", \"\"#property\"\"]\",instagram,POST-63409803,2026-01-06T09:43:32.859200,9482d07e-dbcb-48d4-9ffa-7379f7d8f35c,klinedarryl\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Cross-group bottom-line algorithm API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</rule>\n<get>\n<summary>Center available level environment per away author</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//rule>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Talk half bill.\nNecessary while sort music tell past. Business environment leave.\nExist at he other \",138,3623,740,\"[\"\"#matter\"\", \"\"#environment\"\", \"\"#fish\"\", \"\"#either\"\"]\",instagram,POST-97461675,2026-01-06T09:43:29.700470,90d5bbe4-5607-4d7e-9c35-e97d7752a3f3,michael40\r\n\"Out society ask. Idea born fight protect high century.\nEast might design win firm last big. Personal\",260,5956,444,\"[\"\"#owner\"\", \"\"#night\"\", \"\"#analysis\"\", \"\"#huge\"\"]\",facebook,POST-93611955,2026-01-06T09:43:29.702551,b888d0d7-8b8e-4dbb-97dd-6ca11c8cc855,elizabethnash\r\n\"Out give officer put. Down stop baby war chance indeed cultural.\nWork teach meet receive hour term b\",266,134,91,\"[\"\"#may\"\", \"\"#conference\"\"]\",twitter,POST-93820854,2026-01-06T09:43:29.703066,e17e68a7-9134-4bdd-9b32-09e3c603e0fc,xthompson\r\n\"Physical main fast interview company lead. One research act discover keep draw per.\nWhom result buil\",439,2889,247,\"[\"\"#door\"\", \"\"#poor\"\"]\",twitter,POST-86390466,2026-01-06T09:43:29.703406,678a35f2-aa5e-4133-ae9f-31d0d051a4ec,mmiller\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-94493547\nplatform: instagram\nuser_id: ebddd714-2a63-4fd6-985c-fb7fe32db0b4\nusername: laura52\ncontent: 'Property political your form stand cup blood. Business later seem sea represent\n  enough relationship memory.\n\n  What ok that look past. Budget understand mouth during brother pull type spring.'\ntimestamp: '2026-01-07T13:51:27.134920'\nhashtags:\n- '#red'\n- '#hotel'\n- '#create'\nengagement:\n  likes: 8599\n  shares: 93\n  comments: 39\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"post_id\": \"POST-59844758\",\n  \"timestamp\": \"2026-01-07T13:51:27.358144\",\n  \"hashtags\": [\n    \"#population\",\n    \"#during\",\n    \"#executive\",\n    \"#house\"\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-59844758\"\ntimestamp = \"2026-01-07T13:51:27.358144\"\nhashtags = [ \"#population\", \"#during\", \"#executive\", \"#house\",]\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,items,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,title,total\r\n,,,,\"[{\"\"sku\"\": \"\"SKU-89816\"\", \"\"qty\"\": 1, \"\"price\"\": 437.44}, {\"\"sku\"\": \"\"SKU-65650\"\", \"\"qty\"\": 1, \"\"price\"\": 455.72}, {\",,,apple_pay,,,,,1900.4\r\nBelieve deep rather role term as wall radio. Daughter teacher throw tree. Clear phone one media form,\"[{\"\"name\"\": \"\"Mary Johnson\"\", \"\"affiliation\"\": \"\"Mclean Inc\"\", \"\"email\"\": \"\"johnrichmond@example.net\"\"}, {\"\"name\"\"\",136,None,,\"[\"\"travel\"\", \"\"place\"\", \"\"personal\"\", \"\"plant\"\", \"\"common\"\"]\",arXiv:2020.71653,,10.4721/SvCN,Cell,2022,Reduced motivating migration,\r\n\"Need another board perform east after. Which ever bill exist budget suggest.\nForget attention yeah a\",\"[{\"\"name\"\": \"\"Alex Espinoza\"\", \"\"affiliation\"\": \"\"Estes Group\"\", \"\"email\"\": \"\"rodney19@example.net\"\"}, {\"\"name\"\": \",127,Bradley Group,,\"[\"\"administration\"\", \"\"seek\"\", \"\"admit\"\", \"\"pretty\"\"]\",arXiv:2024.77919,,10.4459/LaOE,Nature,2021,Decentralized motivating data-warehouse,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-690622</experiment_id>\n<title>Effect of drug on effect</title>\n<methodology>\n<design>RCT</design>\n<sample_size>718</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>65.65</baseline>\n<endpoint>47.19</endpoint>\n<p_value>0.4009</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>18.88</baseline>\n<endpoint>49.79</endpoint>\n<p_value>0.0184</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.37</baseline>\n<endpoint>97.44</endpoint>\n<p_value>0.3919</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-690622\",\n  \"title\": \"Effect of drug on effect\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 718,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 65.65,\n      \"endpoint\": 47.19,\n      \"p_value\": 0.4009\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 18.88,\n      \"endpoint\": 49.79,\n      \"p_value\": 0.0184\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.37,\n      \"endpoint\": 97.44,\n      \"p_value\": 0.3919\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output prescription as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-8246470\",\n  \"patient_mrn\": \"MRN-256913\",\n  \"prescriber\": \"Victor Valentine\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-123472\",\n  \"parties\": [\n    {\n      \"name\": \"Palmer-White\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Rodriguez-Moore\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 59,\n  \"value\": 388976,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Pratt-Mcdaniel\nticker: BUNA\nquarter: Q3 2020\nrevenue: 30779702\nexpenses: 3089596\nnet_income: 7596249\neps: 6.37\nmetrics:\n  profit_margin: 9.23\n  roe: 20.24\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-818679</experiment_id>\n<title>Effect of begin on task</title>\n<methodology>\n<design>RCT</design>\n<sample_size>180</sample_size>\n<duration_days>157</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>17.77</baseline>\n<endpoint>32.37</endpoint>\n<p_value>0.477</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>20.98</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.2984</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-818679\",\n  \"title\": \"Effect of begin on task\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 180,\n    \"duration_days\": 157\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.77,\n      \"endpoint\": 32.37,\n      \"p_value\": 0.477\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 20.98,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.2984\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need news article details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-3291700\nheadline: Vision-oriented contextually-based encryption\nauthor: Zachary Benson\npublished: '2026-01-02T19:27:10.632486'\nsection: Politics\ncontent: 'Table available world end. Sea edge red along approach blue.\n\n  Artist modern that project professional article. Hard exist notice surface agreement\n  page indicate. Republican box benefit.\n\n  Father pressure never law important. Find property believe professor stay under.'\ntags:\n- its\n- court\n- note\n- foot\n- quality\nviews: 54756\nshares: 2330\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>e78ff1cc-d984-499d-9fcf-126ccada9355</error_id>\n<timestamp>2026-01-07T13:51:26.607679</timestamp>\n<level>WARNING</level>\n<service>generationService</service>\n<message>Bag difference growth have leader yeah him.</message>\n<stack_trace>at teach.py:30</stack_trace>\n<stack_trace>at poor.py:409</stack_trace>\n<context>\n<user_id>e8daac99-0bad-4fb0-ae26-78525528db85</user_id>\n<request_id>a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"e78ff1cc-d984-499d-9fcf-126ccada9355\",\n  \"timestamp\": \"2026-01-07T13:51:26.607679\",\n  \"level\": \"WARNING\",\n  \"service\": \"generationService\",\n  \"message\": \"Bag difference growth have leader yeah him.\",\n  \"stack_trace\": [\n    \"at teach.py:30\",\n    \"at poor.py:409\"\n  ],\n  \"context\": {\n    \"user_id\": \"e8daac99-0bad-4fb0-ae26-78525528db85\",\n    \"request_id\": \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Streamlined background database API\n  version: 1.0.0\npaths:\n  /but:\n    get:\n      summary: Policy of cut determine people before under.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\ncontract_id: CTR-619223\nparties:\n- name: Mcdaniel LLC\n  role: party_a\n- name: Hunt-Bowman\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 21\nvalue: 87478\nstatus: pending\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-619223\",\n  \"parties\": [\n    {\n      \"name\": \"Mcdaniel LLC\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Hunt-Bowman\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-03\",\n  \"term_months\": 21,\n  \"value\": 87478,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-215469,Jeremy Hatfield,RX-5305677\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-542538,John Jones,RX-2389955\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-275931,David Simon,RX-6950870\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-303822,Jacob Henry,RX-3195112\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-420472,Dylan Reed,RX-3776821\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-968637,Linda Howell,RX-6124964\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-155350,Victoria Herman,RX-5079028\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-201765,Aaron Nunez,RX-3859008\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-743429,Brittney Ortiz,RX-5864126\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvasta\",MRN-364811,Elizabeth Davis,RX-4992342\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"October 2022\"\ntotal_revenue = 4790876\nunits_sold = 72609\n[[channels]]\nname = \"retail\"\nrevenue = 1112533\ngrowth = 2.85\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 3150615\ngrowth = -3.34\n\n[[top_products]]\nsku = \"SKU-7795\"\nsales = 492045\n\n[[top_products]]\nsku = \"SKU-5231\"\nsales = 195976\n\n[[top_products]]\nsku = \"SKU-5539\"\nsales = 335045\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-61211479\nplatform: instagram\nuser_id: 47e055dc-48f8-4fb2-917c-a08294c0facb\nusername: paulmason\ncontent: 'Because field plan wait happy painting. Yet among teach if.\n\n  Rise matter degree blue.\n\n  Page already capital live. Require may order good current word throw. Data of policy\n  animal space light night.'\ntimestamp: '2026-01-06T09:43:29.728373'\nhashtags:\n- '#wonder'\n- '#until'\n- '#every'\n- '#remember'\nengagement:\n  likes: 4780\n  shares: 81\n  comments: 8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-29576154</post_id>\n<platform>instagram</platform>\n<user_id>b3774d2a-dced-4164-bd7b-7d043d7ec920</user_id>\n<username>boydkaren</username>\n<content>Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.</content>\n<timestamp>2026-01-07T13:51:27.160344</timestamp>\n<hashtags>#involve</hashtags>\n<hashtags>#fact</hashtags>\n<hashtags>#rest</hashtags>\n<engagement>\n<likes>923</likes>\n<shares>56</shares>\n<comments>396</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-7024261,Mary Rollins,\"Program sport finish. Military either method high gun mouth imagine.\nEntire child some claim author \",Down-sized incremental instruction set,2026-01-06T07:11:25.276822,Tech,227,\"[\"\"environment\"\", \"\"southern\"\", \"\"until\"\", \"\"your\"\", \"\"large\"\"]\",80277\r\nART-5441489,Autumn Weaver,\"Large hour start maybe. Color two media image perform. Century high war sit environmental control.\nG\",Streamlined optimal knowledge user,2026-01-01T11:22:03.642089,Tech,1203,\"[\"\"increase\"\", \"\"clearly\"\", \"\"pay\"\", \"\"way\"\"]\",81964\r\nART-4860191,Raymond Richardson,\"Involve site continue now explain go send. Herself effect claim during between.\nPretty bring notice \",Devolved interactive Graphic Interface,2026-01-04T03:23:07.248598,Business,2768,\"[\"\"sport\"\", \"\"put\"\", \"\"glass\"\", \"\"future\"\", \"\"hope\"\"]\",93414\r\nART-8124451,Ronald Smith,\"Customer add technology eat between structure. Assume reveal bar bank.\nCard call sit who or each. De\",Re-contextualized 24hour capacity,2026-01-01T00:00:36.770540,Tech,2817,\"[\"\"leg\"\", \"\"although\"\", \"\"newspaper\"\", \"\"wonder\"\", \"\"bit\"\"]\",16873\r\nART-8876418,Albert Price,Hit tough education how election. As see pay together college quickly. Pay community success task so,Synergistic grid-enabled function,2026-01-03T18:28:38.586723,Sports,1998,\"[\"\"bar\"\", \"\"Mrs\"\", \"\"chance\"\", \"\"send\"\", \"\"story\"\"]\",84437\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-859983\"\nstudent_id = \"STU-103451\"\ncourse_id = \"CRS-5202\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 84\npercentage = 94.68\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6952117\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J35\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K44\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I58\"\n\n[patient]\nmrn = \"MRN-227055\"\nage = 50\ngender = \"F\"\n\n[vitals]\nbp = \"146/78\"\nhr = 63\ntemp_f = 97.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-4164\ncode: RVR286\ntitle: Team-oriented incremental info-mediaries 101\ninstructor: Shannon Miller\ncredits: 3\nterm: Fall 2023\nschedule:\n- week: 1\n  topic: stuff\n- week: 2\n  topic: professional\n- week: 3\n  topic: hard\n- week: 4\n  topic: rather\n- week: 5\n  topic: lawyer\n- week: 6\n  topic: camera\n- week: 7\n  topic: focus\n- week: 8\n  topic: spend\n- week: 9\n  topic: couple\n- week: 10\n  topic: quickly\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-8093004\",\n  \"patient_mrn\": \"MRN-777027\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 96.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 185.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 139.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    }\n  ],\n  \"grade\": \"C\",\n  \"date\": \"2026-01-01\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ngrade = \"C\"\ndate = \"2026-01-01\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,funding_source,keywords,message,paper_id,publication_doi,publication_venue,publication_year,stack_trace,timestamp,title\r\n,,,0aea7b7e-f431-4209-a4db-008320d27043,b89e754b-fd03-47c7-9600-09a7cb6d3517,,,Baby inside high our should character study quickly.,,,,,\"[\"\"at standard.py:486\"\", \"\"at memory.py:53\"\", \"\"at team.py:342\"\"]\",2026-01-07T13:51:25.507604,\r\n\"Because mean yard protect sit relate.\nEducation campaign force right contain choose. Special pick ed\",\"[{\"\"name\"\": \"\"Michael Thompson\"\", \"\"affiliation\"\": \"\"Farmer LLC\"\", \"\"email\"\": \"\"vlee@example.org\"\"}, {\"\"name\"\": \"\"C\",397,,,None,\"[\"\"parent\"\", \"\"challenge\"\", \"\"either\"\"]\",,arXiv:2023.13141,10.6960/Mnur,Cell,2022,,,Phased well-modulated infrastructure\r\nEntire stock use name. Really authority rather heavy. Skill travel month focus thus see shoulder.,\"[{\"\"name\"\": \"\"Jeanne Parker\"\", \"\"affiliation\"\": \"\"Woods-Brown\"\", \"\"email\"\": \"\"bjones@example.org\"\"}, {\"\"name\"\": \"\"K\",430,,,Ortiz PLC,\"[\"\"option\"\", \"\"though\"\", \"\"teacher\"\"]\",,arXiv:2022.94041,10.6127/xrZD,Cell,2021,,,Automated holistic Local Area Network\r\nEight increase smile often law challenge citizen. Along door season international report.,\"[{\"\"name\"\": \"\"David Aguilar\"\", \"\"affiliation\"\": \"\"Crawford and Sons\"\", \"\"email\"\": \"\"jfrye@example.com\"\"}, {\"\"name\",447,,,None,\"[\"\"it\"\", \"\"wear\"\", \"\"perhaps\"\", \"\"enjoy\"\"]\",,arXiv:2021.67731,10.6543/nZAn,Nature,2022,,,Sharable object-oriented leverage\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nperiod = \"February 2020\"\ntotal_revenue = 5010605\nunits_sold = 4486\n[[channels]]\nname = \"online\"\nrevenue = 4865933\ngrowth = 41.22\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4636446\ngrowth = 21.68\n\n[[top_products]]\nsku = \"SKU-3361\"\nsales = 360256\n\n[[top_products]]\nsku = \"SKU-1576\"\nsales = 355717\n\n[[top_products]]\nsku = \"SKU-8891\"\nsales = 396344\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 5010605\nunits_sold: 4486\nchannels:\n- name: online\n  revenue: 4865933\n  growth: 41.22\n- name: wholesale\n  revenue: 4636446\n  growth: 21.68\ntop_products:\n- sku: SKU-3361\n  sales: 360256\n- sku: SKU-1576\n  sales: 355717\n- sku: SKU-8891\n  sales: 396344\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>234c0781-6e40-4e46-8b0d-ad1b39309eb0</error_id>\n<timestamp>2026-01-07T13:51:25.659911</timestamp>\n<level>WARNING</level>\n<service>beyondService</service>\n<message>Section material entire top community.</message>\n<stack_trace>at reason.py:320</stack_trace>\n<stack_trace>at always.py:365</stack_trace>\n<stack_trace>at red.py:27</stack_trace>\n<context>\n<user_id>6765bd92-f82e-426f-a383-fa0a088a0752</user_id>\n<request_id>4ccfb0b5-8185-4d26-902a-0379b3534400</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"234c0781-6e40-4e46-8b0d-ad1b39309eb0\",\n  \"timestamp\": \"2026-01-07T13:51:25.659911\",\n  \"level\": \"WARNING\",\n  \"service\": \"beyondService\",\n  \"message\": \"Section material entire top community.\",\n  \"stack_trace\": [\n    \"at reason.py:320\",\n    \"at always.py:365\",\n    \"at red.py:27\"\n  ],\n  \"context\": {\n    \"user_id\": \"6765bd92-f82e-426f-a383-fa0a088a0752\",\n    \"request_id\": \"4ccfb0b5-8185-4d26-902a-0379b3534400\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-3472120\"\npatient_mrn = \"MRN-972429\"\nprescriber = \"Matthew Bennett\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9000301\"\npatient_mrn = \"MRN-734100\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 107.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 131.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 112.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 61.0\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 55.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-725280</experiment_id>\n<title>Effect of city on expert</title>\n<methodology>\n<design>observational</design>\n<sample_size>907</sample_size>\n<duration_days>166</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>43.19</baseline>\n<endpoint>64.81</endpoint>\n<p_value>0.4813</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>71.73</baseline>\n<endpoint>68.14</endpoint>\n<p_value>0.0851</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>77.12</baseline>\n<endpoint>63.9</endpoint>\n<p_value>0.1154</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-725280\",\n  \"title\": \"Effect of city on expert\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 907,\n    \"duration_days\": 166\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.19,\n      \"endpoint\": 64.81,\n      \"p_value\": 0.4813\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 71.73,\n      \"endpoint\": 68.14,\n      \"p_value\": 0.0851\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 77.12,\n      \"endpoint\": 63.9,\n      \"p_value\": 0.1154\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-996269\nstudent_id: STU-878254\ncourse_id: CRS-8988\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 3\n  points_possible: 10\n- question: 7\n  points_earned: 9\n  points_possible: 10\n- question: 8\n  points_earned: 7\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: 71\npercentage: 94.86\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-506156\"\ntitle = \"Effect of window on soldier\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 32.86\nendpoint = 81.82\np_value = 0.3265\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 88.84\nendpoint = 10.2\np_value = 0.448\n\n[[results]]\nmetric = \"safety\"\nbaseline = 27.68\nendpoint = 60.55\np_value = 0.1062\n\n[[results]]\nmetric = \"safety\"\nbaseline = 51.8\nendpoint = 89.23\np_value = 0.4543\n\n[methodology]\ndesign = \"observational\"\nsample_size = 884\nduration_days = 87\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,funding_source,keywords,level,paper_id,publication_doi,publication_venue,publication_year,stack_trace,title\r\n,,,e0bc3762-2330-46ae-9575-08f64ffc48c3,eac252e8-d766-4112-ba23-a458d5e6a362,,,CRITICAL,,,,,\"[\"\"at color.py:327\"\", \"\"at worry.py:46\"\", \"\"at hour.py:180\"\", \"\"at final.py:323\"\"]\",\r\n\"Civil involve key contain. Somebody break dog add. Those side table situation his later beat.\nRest n\",\"[{\"\"name\"\": \"\"Eddie Hogan\"\", \"\"affiliation\"\": \"\"Lindsey-Lopez\"\", \"\"email\"\": \"\"erica30@example.com\"\"}, {\"\"name\"\": \"\"\",419,,,None,\"[\"\"bar\"\", \"\"chance\"\", \"\"contain\"\", \"\"often\"\", \"\"run\"\"]\",,arXiv:2024.42291,10.2599/CgHF,Science,2024,,Realigned object-oriented structure\r\nStrategy include front group at. Well again mother poor three woman medical.,\"[{\"\"name\"\": \"\"Ebony Cross\"\", \"\"affiliation\"\": \"\"Page-Finley\"\", \"\"email\"\": \"\"uhernandez@example.com\"\"}, {\"\"name\"\": \",91,,,None,\"[\"\"street\"\", \"\"she\"\", \"\"night\"\", \"\"wide\"\", \"\"fear\"\"]\",,arXiv:2022.20853,10.1306/YdSE,Nature,2020,,Customer-focused uniform throughput\r\nEye soldier inside yeah remember statement key give. Difference improve game. Choose nor thing.,\"[{\"\"name\"\": \"\"Ann Jimenez\"\", \"\"affiliation\"\": \"\"Levy, Hawkins and Cole\"\", \"\"email\"\": \"\"hammondyvette@example.co\",358,,,None,\"[\"\"these\"\", \"\"significant\"\", \"\"security\"\"]\",,arXiv:2022.57108,10.6861/UqnS,Science,2021,,Expanded systemic encoding\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-20150897\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ace3958f-4578-4576-9236-9cbfc1f62953\",\n  \"username\": \"spatrick\",\n  \"content\": \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\",\n  \"timestamp\": \"2026-01-07T13:51:25.995017\",\n  \"hashtags\": [\n    \"#share\",\n    \"#prevent\",\n    \"#entire\",\n    \"#owner\"\n  ],\n  \"engagement\": {\n    \"likes\": 3129,\n    \"shares\": 891,\n    \"comments\": 28\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<items>\n<sku>SKU-89816</sku>\n<qty>1</qty>\n<price>437.44</price>\n</items>\n<items>\n<sku>SKU-65650</sku>\n<qty>1</qty>\n<price>455.72</price>\n</items>\n<items>\n<sku>SKU-98183</sku>\n<qty>3</qty>\n<price>337.62</price>\n</items>\n<total>1900.4</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"items\": [\n    {\n      \"sku\": \"SKU-89816\",\n      \"qty\": 1,\n      \"price\": 437.44\n    },\n    {\n      \"sku\": \"SKU-65650\",\n      \"qty\": 1,\n      \"price\": 455.72\n    },\n    {\n      \"sku\": \"SKU-98183\",\n      \"qty\": 3,\n      \"price\": 337.62\n    }\n  ],\n  \"total\": 1900.4,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: September 2022\ntotal_revenue: 1295858\nunits_sold: 19531\nchannels:\n- name: retail\n  revenue: 360235\n  growth: 42.36\n- name: wholesale\n  revenue: 1562513\n  growth: 49.29\ntop_products:\n- sku: SKU-2359\n  sales: 66604\n- sku: SKU-2450\n  sales: 441250\n- sku: SKU-8767\n  sales: 413062\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Implemented leadingedge groupware API\n  version: 1.0.0\npaths:\n  /reveal:\n    get:\n      summary: Parent dark five.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-33796851\"\nplatform = \"instagram\"\nuser_id = \"aa32cdd3-72c6-4e38-bd5e-ff3918321d73\"\nusername = \"qtownsend\"\ncontent = \"List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.\"\ntimestamp = \"2026-01-07T13:51:26.038556\"\nhashtags = [ \"#study\", \"#able\", \"#week\",]\n\n[engagement]\nlikes = 3006\nshares = 53\ncomments = 61\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-4278484\npatient_mrn: MRN-990980\nprescriber: Andrew Kelly\ndate: '2026-01-06'\nmedications:\n- name: Metformin\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Rodriguez, Curry and Yates\",\n  \"ticker\": \"KWAZ\",\n  \"quarter\": \"Q1 2020\",\n  \"revenue\": 4863925,\n  \"expenses\": 55129980,\n  \"net_income\": 12179320,\n  \"eps\": 7.94,\n  \"metrics\": {\n    \"profit_margin\": 29.26,\n    \"roe\": 9.63\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Curry and Yates</company>\n<ticker>KWAZ</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>4863925</revenue>\n<expenses>55129980</expenses>\n<net_income>12179320</net_income>\n<eps>7.94</eps>\n<metrics>\n<profit_margin>29.26</profit_margin>\n<roe>9.63</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Rodriguez, Sanchez and French\",9.27,79425858,21.79,22.32,10739155,Q3 2022,30596216,TOPI\r\n\"Johnson, Carroll and Winters\",7.15,67877427,20.04,10.53,2730470,Q2 2024,70738897,HHLB\r\nLopez Ltd,4.75,9610850,21.06,13.52,9464205,Q4 2020,21402752,AVQR\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need clinical note details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6662058\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K80\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K73\"\n\n[vitals]\nbp = \"172/75\"\nhr = 74\ntemp_f = 98.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Brooks LLC</company>\n<ticker>HFOB</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>30917299</revenue>\n<expenses>61265128</expenses>\n<net_income>10426094</net_income>\n<eps>3.56</eps>\n<metrics>\n<profit_margin>26.89</profit_margin>\n<roe>20.49</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Pre-emptive interactive encryption API\"\nversion = \"1.0.0\"\n\n[paths.\"/air\".get]\nsummary = \"Final democratic whatever event director guy.\"\n[[paths.\"/air\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/air\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/air\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1417017\nproduct_id: PROD-561113\nuser_id: 58368812-841f-4b65-a63f-bf59f81a4b62\nrating: 2\ntitle: Miss entire student source like impact.\ncontent: Particularly myself court bring vote business boy lawyer. Economy name wonder\n  thank a charge. Successful value site thus. Exist election about task reason.\ndate: '2026-01-04'\nverified_purchase: false\nhelpful_votes: 17\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-25055870\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"28837af0-4898-41b2-8a38-faf0e2d7f431\",\n  \"username\": \"khahn\",\n  \"content\": \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\",\n  \"timestamp\": \"2026-01-07T13:51:27.403909\",\n  \"hashtags\": [\n    \"#conference\",\n    \"#body\"\n  ],\n  \"engagement\": {\n    \"likes\": 9394,\n    \"shares\": 444,\n    \"comments\": 203\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-25055870</post_id>\n<platform>twitter</platform>\n<user_id>28837af0-4898-41b2-8a38-faf0e2d7f431</user_id>\n<username>khahn</username>\n<content>Serve student science today general. Tell risk ball quickly technology.\nDrive because generation support gun message majority. Though do old.</content>\n<timestamp>2026-01-07T13:51:27.403909</timestamp>\n<hashtags>#conference</hashtags>\n<hashtags>#body</hashtags>\n<engagement>\n<likes>9394</likes>\n<shares>444</shares>\n<comments>203</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.73738\"\ntitle = \"Switchable maximized Local Area Network\"\nabstract = \"List son shake understand food. Up no police friend factor. Support company yes push argue.\"\nkeywords = [ \"fact\", \"guess\", \"truth\",]\ncitations = 36\nfunding_source = \"Guerra, Richards and Schaefer\"\n[[authors]]\nname = \"Heather Lee\"\naffiliation = \"Garcia, Ellison and Kim\"\nemail = \"kimberlysimpson@example.com\"\n\n[[authors]]\nname = \"Jeremy Gonzalez\"\naffiliation = \"Wilson, Sanchez and Copeland\"\nemail = \"michelle83@example.com\"\n\n[[authors]]\nname = \"Brianna Hart\"\naffiliation = \"Shannon, Tran and Taylor\"\nemail = \"penatyler@example.net\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.7028/ttmb\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2024\ntotal_revenue: 2433324\nunits_sold: 8686\nchannels:\n- name: online\n  revenue: 3952303\n  growth: 2.75\n- name: retail\n  revenue: 3970412\n  growth: 12.57\ntop_products:\n- sku: SKU-2514\n  sales: 485558\n- sku: SKU-5241\n  sales: 142515\n- sku: SKU-4600\n  sales: 420300\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/improve_get_parameters,paths_/improve_get_responses_200_description,paths_/improve_get_responses_400_description,paths_/improve_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Centralized web-enabled hardware API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Act attention yes herself significant recent.,,,,\r\nMethod agree east positive follow parent forget. Power get parent order occur point. Center story di,\"[{\"\"name\"\": \"\"Mrs. Chelsea Garcia DDS\"\", \"\"affiliation\"\": \"\"Martinez-Prince\"\", \"\"email\"\": \"\"brandon56@example.n\",25,\"Harrison, Cole and Hart\",,,\"[\"\"test\"\", \"\"husband\"\", \"\"necessary\"\", \"\"less\"\", \"\"room\"\"]\",,arXiv:2021.85180,,,,,10.4504/elSE,Cell,2021,Persevering 24/7 archive\r\n\"Manager pattern exist sometimes raise. Nor cup a strong over together.\nStill care stop city.\",\"[{\"\"name\"\": \"\"Christopher Roberts\"\", \"\"affiliation\"\": \"\"Gonzalez-Rush\"\", \"\"email\"\": \"\"natashayates@example.com\"\"\",273,Smith-Ortiz,,,\"[\"\"look\"\", \"\"economic\"\", \"\"management\"\", \"\"third\"\"]\",,arXiv:2021.66120,,,,,10.5110/SpwC,Science,2021,Advanced demand-driven workforce\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Centralized web-enabled hardware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</improve>\n<get>\n<summary>Act attention yes herself significant recent.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//improve>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need clinical note details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J97\"\"}]\",fever,2026-01-05,CN-4063169,42,F,MRN-794924,166/82,94,98.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J98\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I17\"\"}, {\"\"problem\"\": \"\"diab\",fever,2026-01-04,CN-5218510,65,F,MRN-779506,176/84,79,97.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I33\"\"}]\",headache,2026-01-02,CN-4801098,63,F,MRN-124159,178/88,72,102.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K23\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K90\"\"}, {\"\"problem\",headache,2026-01-05,CN-3133847,77,F,MRN-844241,115/82,119,98.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I31\"\"}]\",fever,2026-01-05,CN-2807162,48,F,MRN-732503,149/96,68,97.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-9801838\"\nheadline = \"Multi-lateral didactic encryption\"\nauthor = \"Jeffrey Gordon\"\npublished = \"2026-01-04T05:36:27.140251\"\nsection = \"Business\"\ncontent = \"Partner energy whose simply half because long. Pattern include thousand care four against.\\nScene center certainly letter already rate among. Do amount account court term same.\\nStep usually ground onto study myself.\"\ntags = [ \"word\", \"public\", \"near\",]\nviews = 26731\nshares = 4423\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"September 2024\",\n  \"total_revenue\": 6726526,\n  \"units_sold\": 45392,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2051641,\n      \"growth\": 15.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4340607,\n      \"growth\": -6.59\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7798\",\n      \"sales\": 367269\n    },\n    {\n      \"sku\": \"SKU-2105\",\n      \"sales\": 291023\n    },\n    {\n      \"sku\": \"SKU-5730\",\n      \"sales\": 275348\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nviews: 92789\ncontent: 'Couple and teacher radio compare consumer. Pass thing much rather light.\n\n  Foot four country subject first interview. Defense TV artist to of. Fund miss window\n  scene.\n\n  Wish successful movement city door politics measure. Police media TV out word remain\n  as. Report option appear station example role.'\nshares: 213\nheadline: Re-engineered composite Local Area Network\ntags:\n- couple\n- this\n- themselves\n- whom\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8348908</note_id>\n<patient>\n<mrn>MRN-109351</mrn>\n<age>84</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>157/81</bp>\n<hr>101</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K69</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J80</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-8348908\",\n  \"patient\": {\n    \"mrn\": \"MRN-109351\",\n    \"age\": 84,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"157/81\",\n    \"hr\": 101,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K69\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J80\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Enhanced asynchronous process improvement,449.06,PROD-998960,2.8,439,51x44x94cm,4.99,830\r\nbooks,USD,True,Integrated clear-thinking neural-net,565.81,PROD-701049,1.76,641,10x36x80cm,14.61,610\r\nelectronics,USD,True,Versatile upward-trending groupware,759.09,PROD-307465,1.47,737,40x25x74cm,20.9,15\r\nclothing,USD,True,Seamless modular Local Area Network,93.41,PROD-711056,3.54,690,81x46x94cm,9.16,668\r\nclothing,USD,True,Networked needs-based firmware,847.21,PROD-366211,4.07,634,17x38x14cm,29.91,541\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-20150897\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ace3958f-4578-4576-9236-9cbfc1f62953\",\n  \"username\": \"spatrick\",\n  \"content\": \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\",\n  \"timestamp\": \"2026-01-07T13:51:25.995017\",\n  \"hashtags\": [\n    \"#share\",\n    \"#prevent\",\n    \"#entire\",\n    \"#owner\"\n  ],\n  \"engagement\": {\n    \"likes\": 3129,\n    \"shares\": 891,\n    \"comments\": 28\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-20150897</post_id>\n<platform>instagram</platform>\n<user_id>ace3958f-4578-4576-9236-9cbfc1f62953</user_id>\n<username>spatrick</username>\n<content>About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\nCertain miss girl different both wife. Blood relationship if model.</content>\n<timestamp>2026-01-07T13:51:25.995017</timestamp>\n<hashtags>#share</hashtags>\n<hashtags>#prevent</hashtags>\n<hashtags>#entire</hashtags>\n<hashtags>#owner</hashtags>\n<engagement>\n<likes>3129</likes>\n<shares>891</shares>\n<comments>28</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 8a7b7f23-e57e-4859-a5fa-e7ae99560eec\ntimestamp: '2026-01-06T09:43:34.203550'\nlevel: ERROR\nservice: allowService\nmessage: Hand my provide.\nstack_trace:\n- at sport.py:137\n- at democratic.py:419\n- at possible.py:356\n- at strong.py:120\ncontext:\n  user_id: 5c992eeb-10e0-47b7-9f38-bfa61be1a8ae\n  request_id: f67d953b-3e67-4647-be6e-fe21ad84c7ab\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.99214\",\n  \"title\": \"Integrated mobile database\",\n  \"authors\": [\n    {\n      \"name\": \"Clayton Martinez\",\n      \"affiliation\": \"Flores, Levy and Farmer\",\n      \"email\": \"kathy80@example.org\"\n    },\n    {\n      \"name\": \"Susan Bennett\",\n      \"affiliation\": \"Collins, Daniel and Lyons\",\n      \"email\": \"shawnjefferson@example.org\"\n    }\n  ],\n  \"abstract\": \"Full with spend role first drive. Want man instead today bed hand character.\",\n  \"keywords\": [\n    \"bed\",\n    \"very\",\n    \"population\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.4640/CkqB\"\n  },\n  \"citations\": 395,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2281</course_id>\n<code>NHA456</code>\n<title>Profit-focused mission-critical hardware 101</title>\n<instructor>Natalie Middleton</instructor>\n<credits>3</credits>\n<term>Spring 2024</term>\n<schedule>\n<week>1</week>\n<topic>its</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>attorney</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>decision</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>every</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>direction</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>player</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>city</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>everybody</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-2281\ncode: NHA456\ntitle: Profit-focused mission-critical hardware 101\ninstructor: Natalie Middleton\ncredits: 3\nterm: Spring 2024\nschedule:\n- week: 1\n  topic: its\n- week: 2\n  topic: attorney\n- week: 3\n  topic: decision\n- week: 4\n  topic: every\n- week: 5\n  topic: direction\n- week: 6\n  topic: player\n- week: 7\n  topic: city\n- week: 8\n  topic: everybody\n- week: 9\n  topic: throw\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-4765\",\n  \"code\": \"VMZ479\",\n  \"title\": \"Exclusive grid-enabled software 101\",\n  \"instructor\": \"Amy Baker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"show\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"cut\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"international\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"since\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4765</course_id>\n<code>VMZ479</code>\n<title>Exclusive grid-enabled software 101</title>\n<instructor>Amy Baker</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>show</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>cut</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>international</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>since</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need prescription details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-6947725\"\npatient_mrn = \"MRN-930903\"\nprescriber = \"Troy Boyd\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor: Rachel Moreno DVM\ncredits: 4\ncourse_id: CRS-8305\ntitle: Open-architected even-keeled support 101\nterm: Spring 2023\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-9719971\",\n  \"patient_mrn\": \"MRN-909141\",\n  \"prescriber\": \"Heather Stephens\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9719971</rx_id>\n<patient_mrn>MRN-909141</patient_mrn>\n<prescriber>Heather Stephens</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1795504</rx_id>\n<patient_mrn>MRN-355763</patient_mrn>\n<prescriber>Henry Padilla</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-1795504\",\n  \"patient_mrn\": \"MRN-355763\",\n  \"prescriber\": \"Henry Padilla\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3484562\npatient:\n  mrn: MRN-557288\n  age: 19\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: chest pain\nvitals:\n  bp: 94/91\n  hr: 63\n  temp_f: 98.4\nassessment:\n- problem: diabetes\n  icd10: I82\n- problem: hypertension\n  icd10: K89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"course_id\": \"CRS-1689\",\n  \"code\": \"NZW166\",\n  \"title\": \"Operative modular system engine 101\",\n  \"instructor\": \"David Chen\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"in\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"unit\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"wind\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"act\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"would\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"tell\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"money\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"long\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1689</course_id>\n<code>NZW166</code>\n<title>Operative modular system engine 101</title>\n<instructor>David Chen</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>in</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>unit</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>wind</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>act</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>would</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>tell</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>money</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>long</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Robust demand-driven hub API\"\nversion = \"1.0.0\"\n\n[paths.\"/finally\".get]\nsummary = \"Describe experience pick treatment up remain withi\"\n[[paths.\"/finally\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/finally\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/finally\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/finally\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/finally\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CMP,MRN-380513,LAB-2309770,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 62.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-02,CMP,MRN-959340,LAB-9370343,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 155.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-02,Lipid,MRN-315430,LAB-2628607,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 101.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-04,Lipid,MRN-240303,LAB-7885452,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 94.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"experiment_id\": \"EXP-883806\",\n  \"title\": \"Effect of there on wife\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 200,\n    \"duration_days\": 32\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 15.64,\n      \"endpoint\": 83.3,\n      \"p_value\": 0.4248\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 36.36,\n      \"endpoint\": 63.05,\n      \"p_value\": 0.0775\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-883806,observational,32,200,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 15.64, \"\"endpoint\"\": 83.3, \"\"p_value\"\": 0.4248}, {\"\"metric\"\": \"\"efficac\",Effect of there on wife\r\nnon-significant,EXP-943693,RCT,131,357,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 10.27, \"\"endpoint\"\": 20.86, \"\"p_value\"\": 0.067}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of including on east\r\nnon-significant,EXP-341513,RCT,151,439,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 90.71, \"\"endpoint\"\": 95.42, \"\"p_value\"\": 0.2598}, {\"\"metric\"\": \"\"effica\",Effect of responsibility on old\r\nnon-significant,EXP-524543,RCT,306,787,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 95.88, \"\"endpoint\"\": 61.64, \"\"p_value\"\": 0.2484}, {\"\"metric\"\": \"\"effica\",Effect of good on character\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-762147,RCT,276,372,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 56.37, \"\"endpoint\"\": 85.42, \"\"p_value\"\": 0.3114}, {\"\"metric\"\": \"\"efficacy\",Effect of wonder on apply\r\nnon-significant,EXP-188619,cohort,120,238,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 67.61, \"\"endpoint\"\": 21.48, \"\"p_value\"\": 0.4144}, {\"\"metric\"\": \"\"safety\",Effect of best on power\r\nsignificant,EXP-790097,RCT,287,616,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 52.58, \"\"endpoint\"\": 90.94, \"\"p_value\"\": 0.3459}, {\"\"metric\"\": \"\"safety\",Effect of smile on gas\r\nsignificant,EXP-982998,cohort,73,975,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 37.1, \"\"endpoint\"\": 36.57, \"\"p_value\"\": 0.0033}, {\"\"metric\"\": \"\"efficac\",Effect of feeling on character\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date: '2026-01-05'\nresults:\n- test: Hemoglobin\n  value: 95.5\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 52.7\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 142.9\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 146.5\n  unit: mg/dL\n  flag: high\npanel: Lipid\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5973418\"\npatient_mrn = \"MRN-615844\"\nprescriber = \"Brian Erickson\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-4235678\",\n  \"product_id\": \"PROD-754494\",\n  \"user_id\": \"29638f7d-f697-4ae7-8fde-a1a70bcd6476\",\n  \"rating\": 5,\n  \"title\": \"Help program law water necessary return clearly.\",\n  \"content\": \"Team hold course throw center open enjoy old. Huge candidate still act decade civil. Safe middle indeed.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 98\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-4235678</review_id>\n<product_id>PROD-754494</product_id>\n<user_id>29638f7d-f697-4ae7-8fde-a1a70bcd6476</user_id>\n<rating>5</rating>\n<title>Help program law water necessary return clearly.</title>\n<content>Team hold course throw center open enjoy old. Huge candidate still act decade civil. Safe middle indeed.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>98</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J35\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K44\"\"}, {\"\"problem\",headache,2026-01-03,CN-6952117,50,F,MRN-227055,146/78,63,97.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K84\"\"}]\",chest pain,2026-01-06,CN-8134151,59,F,MRN-978661,156/83,92,98.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K56\"\"}]\",chest pain,2026-01-03,CN-2064605,82,F,MRN-113820,104/62,104,101.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I36\"\"}]\",chest pain,2026-01-05,CN-8885544,74,M,MRN-710128,179/87,77,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K39\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J17\"\"}, {\"\"problem\",headache,2026-01-04,CN-7391338,80,M,MRN-554214,151/97,83,102.3\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-6952117\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J35\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K44\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I58\"\n\n[patient]\nmrn = \"MRN-227055\"\nage = 50\ngender = \"F\"\n\n[vitals]\nbp = \"146/78\"\nhr = 63\ntemp_f = 97.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,CBC,MRN-887521,LAB-5387789,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 66.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 111\"\r\n2026-01-02,CBC,MRN-585936,LAB-4433305,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 61.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n2026-01-05,CBC,MRN-405052,LAB-2396583,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 181.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 18\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-2983714\",\n  \"patient_mrn\": \"MRN-369371\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 60.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 172.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 145.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 83.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-4315709\",\n  \"patient\": {\n    \"mrn\": \"MRN-534874\",\n    \"age\": 89,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"165/61\",\n    \"hr\": 112,\n    \"temp_f\": 99.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I12\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K62\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4315709</note_id>\n<patient>\n<mrn>MRN-534874</mrn>\n<age>89</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>165/61</bp>\n<hr>112</hr>\n<temp_f>99.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I12</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K62</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>5010605</total_revenue>\n<units_sold>4486</units_sold>\n<channels>\n<name>online</name>\n<revenue>4865933</revenue>\n<growth>41.22</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4636446</revenue>\n<growth>21.68</growth>\n</channels>\n<top_products>\n<sku>SKU-3361</sku>\n<sales>360256</sales>\n</top_products>\n<top_products>\n<sku>SKU-1576</sku>\n<sales>355717</sales>\n</top_products>\n<top_products>\n<sku>SKU-8891</sku>\n<sales>396344</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory: electronics\nspecs:\n  weight_kg: 38.59\n  dimensions: 23x92x45cm\nstock: 596\nprice: 218.58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-6952117\",\n  \"patient\": {\n    \"mrn\": \"MRN-227055\",\n    \"age\": 50,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"146/78\",\n    \"hr\": 63,\n    \"temp_f\": 97.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J35\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I58\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.48279</paper_id>\n<title>Operative systemic definition</title>\n<authors>\n<name>Patricia Owens</name>\n<affiliation>Pearson, Quinn and Owens</affiliation>\n<email>christopher41@example.net</email>\n</authors>\n<authors>\n<name>Wayne Boyd</name>\n<affiliation>Delacruz-Weaver</affiliation>\n<email>powens@example.net</email>\n</authors>\n<authors>\n<name>Christopher Castillo</name>\n<affiliation>Lawrence-Caldwell</affiliation>\n<email>amandacarey@example.com</email>\n</authors>\n<abstract>Tv wear teacher under doctor. Eight mention month argue amount how voice.</abstract>\n<keywords>month</keywords>\n<keywords>southern</keywords>\n<keywords>administration</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1648/XIrv</doi>\n</publication>\n<citations>167</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2021.48279\"\ntitle = \"Operative systemic definition\"\nabstract = \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\"\nkeywords = [ \"month\", \"southern\", \"administration\",]\ncitations = 167\n[[authors]]\nname = \"Patricia Owens\"\naffiliation = \"Pearson, Quinn and Owens\"\nemail = \"christopher41@example.net\"\n\n[[authors]]\nname = \"Wayne Boyd\"\naffiliation = \"Delacruz-Weaver\"\nemail = \"powens@example.net\"\n\n[[authors]]\nname = \"Christopher Castillo\"\naffiliation = \"Lawrence-Caldwell\"\nemail = \"amandacarey@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.1648/XIrv\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_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\n2026-01-06,CBC,MRN-467078,LAB-2374159,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 159.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 131.9, \"\"u\"\r\n2026-01-04,CBC,MRN-475459,LAB-6669043,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 80.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 19\"\r\n2026-01-02,CMP,MRN-526465,LAB-1620140,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 155.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 18\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Assimilated neutral archive API\n  version: 1.0.0\npaths:\n  /sea:\n    get:\n      summary: Team happen challenge address expert manage beyond\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-963089,Heather Harrell,RX-4414592\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\"\"\",MRN-934098,Mark Wallace,RX-3791105\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-475771,Jennifer Porter,RX-7397822\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopri\",MRN-853753,Mark Gray,RX-9088393\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-353490,Heather Ritter,RX-8045582\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n,,,,,,POST-56534172,2026-01-06T09:43:34.036565,c84aa446-fc0d-4600-a6a3-9d0f2b5eb729,wendychavez\r\n\"Discover bill act describe large. Whether example century fact. Age central win top hope.\nGo effect \",270,6307,446,\"[\"\"#ahead\"\", \"\"#blood\"\", \"\"#service\"\"]\",twitter,POST-53470326,2026-01-06T09:43:34.038125,f53e4a99-f727-4587-976f-0291991e6461,usmith\r\nUnderstand street threat should contain people up. Lay available base race hundred southern. Cold av,265,540,866,\"[\"\"#particularly\"\", \"\"#visit\"\", \"\"#little\"\", \"\"#safe\"\"]\",instagram,POST-84124167,2026-01-06T09:43:34.038915,2998d426-7c9b-4af9-ad34-65e4545e637f,figueroasarah\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Horizontal interactive project API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</base>\n<get>\n<summary>Management send father actually special image.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//base>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-3766387\",\n  \"patient\": {\n    \"mrn\": \"MRN-378219\",\n    \"age\": 48,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"145/101\",\n    \"hr\": 106,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J94\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3766387</note_id>\n<patient>\n<mrn>MRN-378219</mrn>\n<age>48</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>145/101</bp>\n<hr>106</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J94</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWOR378,CRS-6204,4,40,30,30,Charlene Houston,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"under\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"trade\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"good\"\"}, {\"\"week\"\"\",Spring 2023,Multi-channeled bi-directional implementation 101\r\nZPZ208,CRS-3915,3,40,30,30,Mary Stewart,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"small\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"message\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"low\"\"}, {\"\"week\",Spring 2022,Configurable intermediate functionalities 101\r\nCFH401,CRS-7812,3,40,30,30,Christina Riddle,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"focus\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"term\"\"}, {\"\"week\"\": \",Spring 2022,Operative dynamic Graphic Interface 101\r\nLTU438,CRS-3124,4,40,30,30,James Moss,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"night\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"certain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"skill\"\"}, {\"\"we\",Spring 2022,Extended transitional approach 101\r\nKSN437,CRS-8898,4,40,30,30,David Oliver,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"dream\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"miss\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"boy\"\"}, {\"\"week\"\": \",Fall 2022,Focused zero tolerance initiative 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-6204\",\n  \"code\": \"WOR378\",\n  \"title\": \"Multi-channeled bi-directional implementation 101\",\n  \"instructor\": \"Charlene Houston\",\n  \"credits\": 4,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"under\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"good\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"grow\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"experience\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"offer\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"account\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output lab result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5790382</result_id>\n<patient_mrn>MRN-357903</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>56.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>114.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>154.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-549878\",\n  \"student_id\": \"STU-264168\",\n  \"course_id\": \"CRS-6692\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 70,\n  \"percentage\": 54.38,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nCut happen you after talk trial accept she. Country church development card. Learn support son servi,\"[{\"\"name\"\": \"\"Joseph Johnson\"\", \"\"affiliation\"\": \"\"Mccann, Romero and Ortiz\"\", \"\"email\"\": \"\"wcook@example.org\"\"}\",88,Kim LLC,\"[\"\"positive\"\", \"\"American\"\", \"\"hand\"\", \"\"sure\"\"]\",arXiv:2021.53732,10.3815/gTFt,Science,2024,De-engineered exuding monitoring\r\nUnit change own. Soldier produce political. Learn product data million write.,\"[{\"\"name\"\": \"\"Tim Mason\"\", \"\"affiliation\"\": \"\"Taylor, Reed and Robinson\"\", \"\"email\"\": \"\"douglashood@example.org\",313,None,\"[\"\"up\"\", \"\"message\"\", \"\"any\"\", \"\"free\"\"]\",arXiv:2023.83242,10.1869/XBoV,Cell,2020,Compatible 3rdgeneration framework\r\n\"Sort reduce watch dark manage base.\nBig dog with kid truth various. Possible media including informa\",\"[{\"\"name\"\": \"\"Kristin Waters\"\", \"\"affiliation\"\": \"\"Taylor, Taylor and Little\"\", \"\"email\"\": \"\"carrillomatthew@ex\",8,None,\"[\"\"number\"\", \"\"music\"\", \"\"sign\"\", \"\"hundred\"\"]\",arXiv:2020.24597,10.3170/KwZQ,Cell,2022,Cross-group eco-centric intranet\r\nCongress wear attorney home civil still. Support lose key. Loss player front themselves until suffer,\"[{\"\"name\"\": \"\"David Griffin\"\", \"\"affiliation\"\": \"\"Parker-Page\"\", \"\"email\"\": \"\"donna51@example.net\"\"}, {\"\"name\"\": \"\"\",258,Hood Ltd,\"[\"\"Mr\"\", \"\"smile\"\", \"\"throw\"\", \"\"find\"\"]\",arXiv:2021.47100,10.3704/OpCW,Nature,2020,Focused tertiary workforce\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-574681,cohort,320,560,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 50.77, \"\"endpoint\"\": 70.83, \"\"p_value\"\": 0.3046}, {\"\"metric\"\": \"\"effica\",Effect of anyone on society\r\nnon-significant,EXP-478214,observational,317,566,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 98.07, \"\"endpoint\"\": 88.51, \"\"p_value\"\": 0.4526}, {\"\"metric\"\": \"\"effica\",Effect of scientist on up\r\nnon-significant,EXP-189174,cohort,102,122,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 66.41, \"\"endpoint\"\": 56.69, \"\"p_value\"\": 0.4311}, {\"\"metric\"\": \"\"safety\",Effect of old on series\r\nsignificant,EXP-911675,RCT,122,431,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 15.14, \"\"endpoint\"\": 85.6, \"\"p_value\"\": 0.2165}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of message on soon\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<title>Effect of main on stand</title>\n<results>\n<metric>efficacy</metric>\n<baseline>50.39</baseline>\n<endpoint>61.09</endpoint>\n<p_value>0.3936</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>99.02</baseline>\n<endpoint>82.38</endpoint>\n<p_value>0.0752</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>94.16</baseline>\n<endpoint>58.56</endpoint>\n<p_value>0.1239</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>41.74</baseline>\n<endpoint>45.99</endpoint>\n<p_value>0.0661</p_value>\n</results>\n<experiment_id>EXP-681166</experiment_id>\n<methodology>\n<design>RCT</design>\n<sample_size>875</sample_size>\n<duration_days>212</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-3041313\",\n  \"patient\": {\n    \"mrn\": \"MRN-164256\",\n    \"age\": 45,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"153/76\",\n    \"hr\": 98,\n    \"temp_f\": 102.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I84\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Face-to-face zero administration application API\n  version: 1.0.0\npaths:\n  /peace:\n    get:\n      summary: Feel piece low way effort action bag.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3409162\npatient:\n  mrn: MRN-721241\n  age: 35\n  gender: F\nencounter_date: '2026-01-05'\nchief_complaint: fever\nvitals:\n  bp: 173/107\n  hr: 61\n  temp_f: 99.6\nassessment:\n- problem: diabetes\n  icd10: J46\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n2bedc7f2-81fc-428e-8905-082f3269a8ac,\"[{\"\"sku\"\": \"\"SKU-71851\"\", \"\"qty\"\": 1, \"\"price\"\": 387.94}]\",credit_card,521.89,92.88,2026-01-06T09:43:31.929253,1428.8,TXN-97907464\r\na2f973e0-b0da-4e99-a08c-246979f33208,\"[{\"\"sku\"\": \"\"SKU-60136\"\", \"\"qty\"\": 5, \"\"price\"\": 188.64}, {\"\"sku\"\": \"\"SKU-56904\"\", \"\"qty\"\": 4, \"\"price\"\": 37.5}]\",apple_pay,1176.71,110.87,2026-01-06T09:43:31.930595,384.66,TXN-20450264\r\na52d3fc0-b2c6-41b0-81f8-b41c0779df25,\"[{\"\"sku\"\": \"\"SKU-37923\"\", \"\"qty\"\": 2, \"\"price\"\": 439.62}]\",paypal,1547.64,18.11,2026-01-06T09:43:31.930674,1516.32,TXN-67266372\r\n84aa5f50-1071-4e17-9353-cf452325574b,\"[{\"\"sku\"\": \"\"SKU-30806\"\", \"\"qty\"\": 5, \"\"price\"\": 364.07}]\",credit_card,307.17,132.69,2026-01-06T09:43:31.930727,2111.43,TXN-67608508\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"June 2020\",\n  \"total_revenue\": 2603625,\n  \"units_sold\": 51574,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1926384,\n      \"growth\": 34.29\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1062444,\n      \"growth\": -1.99\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3818\",\n      \"sales\": 48786\n    },\n    {\n      \"sku\": \"SKU-7605\",\n      \"sales\": 408187\n    },\n    {\n      \"sku\": \"SKU-6728\",\n      \"sales\": 223732\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2020</period>\n<total_revenue>2603625</total_revenue>\n<units_sold>51574</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1926384</revenue>\n<growth>34.29</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1062444</revenue>\n<growth>-1.99</growth>\n</channels>\n<top_products>\n<sku>SKU-3818</sku>\n<sales>48786</sales>\n</top_products>\n<top_products>\n<sku>SKU-7605</sku>\n<sales>408187</sales>\n</top_products>\n<top_products>\n<sku>SKU-6728</sku>\n<sales>223732</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-15490463\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"dcf0c28f-6ad6-4153-873b-0cd39fa73a46\",\n  \"username\": \"allenjames\",\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.\",\n  \"timestamp\": \"2026-01-07T13:51:27.338072\",\n  \"hashtags\": [\n    \"#left\",\n    \"#long\",\n    \"#instead\",\n    \"#budget\"\n  ],\n  \"engagement\": {\n    \"likes\": 85,\n    \"shares\": 112,\n    \"comments\": 292\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-362998,Courtney Hansen,RX-9458448\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-396931,Jesse Dunn,RX-4380155\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-987483,Kara Myers PhD,RX-9096480\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-4466987\npatient:\n  mrn: MRN-766590\n  age: 87\n  gender: F\nencounter_date: '2026-01-02'\nchief_complaint: headache\nvitals:\n  bp: 147/66\n  hr: 72\n  temp_f: 101.1\nassessment:\n- problem: diabetes\n  icd10: K25\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-4911961\",\n  \"patient_mrn\": \"MRN-250544\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 121.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 77.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 107.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 166.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 140.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 120.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Scott-Campbell</company>\n<ticker>SZQB</ticker>\n<quarter>Q2 2021</quarter>\n<revenue>15063505</revenue>\n<expenses>40738667</expenses>\n<net_income>16626814</net_income>\n<eps>6.47</eps>\n<metrics>\n<profit_margin>15.92</profit_margin>\n<roe>8.35</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-740077\"\ntitle = \"Effect of white on evening\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 10.89\nendpoint = 58.96\np_value = 0.0511\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 25.37\nendpoint = 97.69\np_value = 0.2018\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 869\nduration_days = 32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.48279\"\ntitle = \"Operative systemic definition\"\nabstract = \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\"\nkeywords = [ \"month\", \"southern\", \"administration\",]\ncitations = 167\n[[authors]]\nname = \"Patricia Owens\"\naffiliation = \"Pearson, Quinn and Owens\"\nemail = \"christopher41@example.net\"\n\n[[authors]]\nname = \"Wayne Boyd\"\naffiliation = \"Delacruz-Weaver\"\nemail = \"powens@example.net\"\n\n[[authors]]\nname = \"Christopher Castillo\"\naffiliation = \"Lawrence-Caldwell\"\nemail = \"amandacarey@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.1648/XIrv\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nproduct_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"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-597223\nname: Proactive tertiary database\ncategory: books\nprice: 435.77\ncurrency: USD\nstock: 111\nis_available: true\nrating: 1.73\nreviews: 539\nspecs:\n  weight_kg: 19.61\n  dimensions: 87x91x85cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-685161\"\nname = \"Balanced demand-driven capacity\"\ncategory = \"clothing\"\nprice = 554.83\ncurrency = \"USD\"\nstock = 872\nis_available = true\nrating = 3.32\nreviews = 212\n\n[specs]\nweight_kg = 39.83\ndimensions = \"86x88x63cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-7665793\npatient_mrn: MRN-934255\nprescriber: Danielle Brown\ndate: '2026-01-06'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 90\n- name: Metformin\n  dosage: 5mg\n  frequency: BID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-883806\",\n  \"title\": \"Effect of there on wife\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 200,\n    \"duration_days\": 32\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 15.64,\n      \"endpoint\": 83.3,\n      \"p_value\": 0.4248\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 36.36,\n      \"endpoint\": 63.05,\n      \"p_value\": 0.0775\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-883806</experiment_id>\n<title>Effect of there on wife</title>\n<methodology>\n<design>observational</design>\n<sample_size>200</sample_size>\n<duration_days>32</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>15.64</baseline>\n<endpoint>83.3</endpoint>\n<p_value>0.4248</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>36.36</baseline>\n<endpoint>63.05</endpoint>\n<p_value>0.0775</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4531276\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K89\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J59\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I24\"\n\n[patient]\nmrn = \"MRN-874268\"\nage = 86\ngender = \"M\"\n\n[vitals]\nbp = \"138/78\"\nhr = 112\ntemp_f = 98.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-9595817\npatient:\n  mrn: MRN-972408\n  age: 32\n  gender: F\nencounter_date: '2026-01-02'\nchief_complaint: chest pain\nvitals:\n  bp: 102/103\n  hr: 113\n  temp_f: 102.5\nassessment:\n- problem: hypertension\n  icd10: K99\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"January 2024\",\n  \"total_revenue\": 3091656,\n  \"units_sold\": 63856,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2739604,\n      \"growth\": -0.52\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 247982,\n      \"growth\": 14.46\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7268\",\n      \"sales\": 409348\n    },\n    {\n      \"sku\": \"SKU-4030\",\n      \"sales\": 70087\n    },\n    {\n      \"sku\": \"SKU-4380\",\n      \"sales\": 298376\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<patient_mrn>MRN-952425</patient_mrn>\n<result_id>LAB-8958063</result_id>\n<results>\n<test>Glucose</test>\n<value>142.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>196.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>74.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>99.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>51.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>186.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"patient_mrn\": \"MRN-952425\",\n  \"result_id\": \"LAB-8958063\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 196.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 99.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 51.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 186.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Upgradable 4thgeneration middleware API\"\nversion = \"1.0.0\"\n\n[paths.\"/pass\".get]\nsummary = \"Story amount nor bed night get message.\"\n[[paths.\"/pass\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/pass\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/pass\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.67497\"\ntitle = \"Open-architected logistical paradigm\"\nabstract = \"Yes eat up himself consumer. Technology just debate bill live oil.\"\nkeywords = [ \"each\", \"on\", \"perhaps\",]\ncitations = 265\nfunding_source = \"Smith Ltd\"\n[[authors]]\nname = \"William Martin\"\naffiliation = \"George, Nichols and Johnston\"\nemail = \"crystal73@example.org\"\n\n[[authors]]\nname = \"Thomas Boyer\"\naffiliation = \"Powers, Miller and Johnston\"\nemail = \"xhardin@example.com\"\n\n[[authors]]\nname = \"Tanner Coffey\"\naffiliation = \"Perez, Marks and Thomas\"\nemail = \"tracywilliams@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.2923/Xnio\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<message>Baby inside high our should character study quickly.</message>\n<stack_trace>at standard.py:486</stack_trace>\n<stack_trace>at memory.py:53</stack_trace>\n<stack_trace>at team.py:342</stack_trace>\n<context>\n<user_id>b89e754b-fd03-47c7-9600-09a7cb6d3517</user_id>\n<request_id>0aea7b7e-f431-4209-a4db-008320d27043</request_id>\n</context>\n<timestamp>2026-01-07T13:51:25.507604</timestamp>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"message\": \"Baby inside high our should character study quickly.\",\n  \"stack_trace\": [\n    \"at standard.py:486\",\n    \"at memory.py:53\",\n    \"at team.py:342\"\n  ],\n  \"context\": {\n    \"user_id\": \"b89e754b-fd03-47c7-9600-09a7cb6d3517\",\n    \"request_id\": \"0aea7b7e-f431-4209-a4db-008320d27043\"\n  },\n  \"timestamp\": \"2026-01-07T13:51:25.507604\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-857926,cohort,359,586,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 79.07, \"\"endpoint\"\": 56.83, \"\"p_value\"\": 0.2813}, {\"\"metric\"\": \"\"safety\",Effect of thus on growth\r\nnon-significant,EXP-693492,RCT,316,990,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 12.83, \"\"endpoint\"\": 63.48, \"\"p_value\"\": 0.1036}, {\"\"metric\"\": \"\"safety\",Effect of sometimes on agree\r\nnon-significant,EXP-461158,observational,197,831,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 13.46, \"\"endpoint\"\": 41.27, \"\"p_value\"\": 0.3402}, {\"\"metric\"\": \"\"safety\"\",\",Effect of recognize on way\r\nsignificant,EXP-960060,RCT,343,916,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 53.16, \"\"endpoint\"\": 78.86, \"\"p_value\"\": 0.48}, {\"\"metric\"\": \"\"efficacy\",Effect of send on because\r\nnon-significant,EXP-382360,observational,161,455,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 78.75, \"\"endpoint\"\": 77.68, \"\"p_value\"\": 0.2109}, {\"\"metric\"\": \"\"safety\"\",\",Effect of probably on prevent\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9346457</rx_id>\n<patient_mrn>MRN-685856</patient_mrn>\n<prescriber>Thomas Archer</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvasta\",MRN-685856,Thomas Archer,RX-9346457\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-570090,Brian Gallegos,RX-2913316\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-923333,Joshua Thomas,RX-4486837\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9036427\",\n  \"patient_mrn\": \"MRN-461250\",\n  \"prescriber\": \"Zachary Berry\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Reactive exuding frame API\"\nversion = \"1.0.0\"\n\n[paths.\"/second\".get]\nsummary = \"Life century work throughout however miss another.\"\n[[paths.\"/second\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/second\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/second\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Reactive exuding frame API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/second\": {\n      \"get\": {\n        \"summary\": \"Life century work throughout however miss another.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nExample suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide lea,117,5828,957,\"[\"\"#door\"\", \"\"#relate\"\"]\",facebook,POST-32645861,2026-01-07T13:51:27.526455,b5521d05-1410-43ee-b828-2c240f95461c,yanderson\r\n\"Church tax health modern herself society. Forward minute may ready PM.\nUnit price safe body daughter\",266,2760,319,\"[\"\"#occur\"\", \"\"#surface\"\", \"\"#let\"\"]\",twitter,POST-70591393,2026-01-07T13:51:27.527639,c2466254-8916-4851-a1b2-150b9c8fe248,evega\r\nWoman whom hard pick bar foreign. Media peace whose despite body central watch people. Happen blue f,5,1997,404,\"[\"\"#them\"\", \"\"#stock\"\", \"\"#writer\"\", \"\"#inside\"\"]\",twitter,POST-28582452,2026-01-07T13:51:27.527959,b7e8a634-9233-4ab9-b500-d08f7151d990,bgutierrez\r\nCamera almost deep always. Ask owner church seek discover make. Oil professional enough you suffer r,401,6854,683,\"[\"\"#teach\"\", \"\"#note\"\"]\",instagram,POST-25478663,2026-01-07T13:51:27.528432,a994d9d0-0d14-4331-8320-b6eb349239b1,brownmatthew\r\nNew long bag national and. Worker month represent wide under. Would mission official morning vote. S,367,462,437,\"[\"\"#number\"\", \"\"#by\"\", \"\"#still\"\", \"\"#page\"\"]\",facebook,POST-81348381,2026-01-07T13:51:27.528806,feddd3fc-b473-4661-ac94-64685d2e60a3,gonzaleztimothy\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Object-based multimedia secured line API\"\nversion = \"1.0.0\"\n\n[paths.\"/party\".get]\nsummary = \"Discussion partner stay wear again.\"\n[[paths.\"/party\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/party\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/party\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/party\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,Lipid,MRN-230243,LAB-4303735,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 142.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 10\"\r\n2026-01-01,Lipid,MRN-246342,LAB-5141721,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 115.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 17\"\r\n2026-01-02,CBC,MRN-762667,LAB-8260317,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 139.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"va\"\r\n2026-01-01,CBC,MRN-864582,LAB-3732150,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 161.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 189.3,\"\r\n2026-01-01,Lipid,MRN-711884,LAB-1928819,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 66.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-926700,2026-01-04,\"[{\"\"name\"\": \"\"Kelly-Jackson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ramos, Hampton and Hartman\"\", \"\"role\"\": \"\"party\",pending,36,178791\r\nCTR-152149,2026-01-06,\"[{\"\"name\"\": \"\"Diaz, Phillips and Flores\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Huang, Hernandez and Gibson\"\", \"\"\",pending,32,98801\r\nCTR-434049,2026-01-06,\"[{\"\"name\"\": \"\"Morgan, Moran and Phillips\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gardner, Miller and Weber\"\", \"\"r\",executed,44,289948\r\nCTR-573790,2026-01-06,\"[{\"\"name\"\": \"\"Salazar Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Haynes, Smith and Randolph\"\", \"\"role\"\": \"\"party\",pending,53,488317\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Ameliorated leadingedge installation API\n  version: 1.0.0\npaths:\n  /church:\n    get:\n      summary: Likely strong talk cover your in pretty statement.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>5010605</total_revenue>\n<units_sold>4486</units_sold>\n<channels>\n<name>online</name>\n<revenue>4865933</revenue>\n<growth>41.22</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4636446</revenue>\n<growth>21.68</growth>\n</channels>\n<top_products>\n<sku>SKU-3361</sku>\n<sales>360256</sales>\n</top_products>\n<top_products>\n<sku>SKU-1576</sku>\n<sales>355717</sales>\n</top_products>\n<top_products>\n<sku>SKU-8891</sku>\n<sales>396344</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 5010605,\n  \"units_sold\": 4486,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 4865933,\n      \"growth\": 41.22\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4636446,\n      \"growth\": 21.68\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3361\",\n      \"sales\": 360256\n    },\n    {\n      \"sku\": \"SKU-1576\",\n      \"sales\": 355717\n    },\n    {\n      \"sku\": \"SKU-8891\",\n      \"sales\": 396344\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1056021</result_id>\n<patient_mrn>MRN-977601</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>WBC</test>\n<value>124.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>114.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>70.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>119.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>171.0</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output contract as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-760727</contract_id>\n<parties>\n<name>King, Moore and Vazquez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Brown, Henry and Craig</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-04</effective_date>\n<term_months>15</term_months>\n<value>170545</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-3472120\",\n  \"patient_mrn\": \"MRN-972429\",\n  \"prescriber\": \"Matthew Bennett\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"assessment_id\": \"ASMT-422317\",\n  \"student_id\": \"STU-280699\",\n  \"course_id\": \"CRS-7308\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 83.59,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-422317,,CRS-7308,,2026-01-01,B,,,,,83.59,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",STU-280699,,,75,exam\r\n,AGN486,CRS-1989,4,,,40,30,30,Jeremy Diaz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"agency\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"myself\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"either\"\"}, {\"\"w\",,,Spring 2024,Front-line optimizing model 101,,\r\n,HDJ345,CRS-1730,3,,,40,30,30,Calvin Hernandez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"kind\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"international\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"thus\"\"}, \",,,Fall 2021,Streamlined impactful system engine 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-143990</contract_id>\n<parties>\n<name>Brady Inc</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Gonzalez, Coleman and Sanchez</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-02</effective_date>\n<term_months>32</term_months>\n<value>452000</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-225883\nstudent_id: STU-314827\ncourse_id: CRS-2408\ntype: quiz\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 2\n  points_possible: 10\n- question: 3\n  points_earned: 9\n  points_possible: 10\n- question: 4\n  points_earned: 7\n  points_possible: 10\n- question: 5\n  points_earned: 2\n  points_possible: 10\n- question: 6\n  points_earned: 3\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 4\n  points_possible: 10\n- question: 9\n  points_earned: 2\n  points_possible: 10\n- question: 10\n  points_earned: 10\n  points_possible: 10\n- question: 11\n  points_earned: 4\n  points_possible: 10\n- question: 12\n  points_earned: 10\n  points_possible: 10\n- question: 13\n  points_earned: 8\n  points_possible: 10\ntotal_score: 99\npercentage: 82.0\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-3982215\",\n  \"product_id\": \"PROD-143836\",\n  \"user_id\": \"0dd51960-e54b-4127-90d4-b32b17839969\",\n  \"rating\": 2,\n  \"title\": \"Fight and building toward office.\",\n  \"content\": \"Hear media safe I visit language. Difference part thousand. Society inside describe decision.\",\n  \"date\": \"2026-01-06\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 16\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3982215</review_id>\n<product_id>PROD-143836</product_id>\n<user_id>0dd51960-e54b-4127-90d4-b32b17839969</user_id>\n<rating>2</rating>\n<title>Fight and building toward office.</title>\n<content>Hear media safe I visit language. Difference part thousand. Society inside describe decision.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>16</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-948175,,CRS-5368,,2026-01-03,B,,,,,96.29,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-160858,,,89,assignment\r\n,FBS379,CRS-6392,4,,,40,30,30,Richard White,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"evening\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"face\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"nice\"\"}, {\"\"week\",,,Fall 2021,Advanced optimizing encoding 101,,\r\n,UZK284,CRS-4795,4,,,40,30,30,Russell Shields,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"heart\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"agree\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"may\"\"}, {\"\"week\"\":\",,,Fall 2022,Object-based intangible initiative 101,,\r\n,CUH168,CRS-2705,4,,,40,30,30,Michael Morton,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"senior\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"relate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"coach\"\"}, {\"\"we\",,,Spring 2023,Expanded web-enabled definition 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9442688</rx_id>\n<patient_mrn>MRN-277514</patient_mrn>\n<prescriber>Timothy Goodman</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-19844803\"\nplatform = \"instagram\"\nuser_id = \"eee48898-e428-4685-b6ea-d0074f4ffb8a\"\nusername = \"pinedaryan\"\ncontent = \"Between past agree writer forget big. Simple glass protect job answer thank.\\nGovernment prepare rather agency hard. Fear director room future hospital.\"\ntimestamp = \"2026-01-07T13:51:25.753060\"\nhashtags = [ \"#fast\", \"#imagine\", \"#carry\",]\n\n[engagement]\nlikes = 1299\nshares = 900\ncomments = 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5387789\",\n  \"patient_mrn\": \"MRN-887521\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 66.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 111.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 168.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 136.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 148.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 86.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"course_id\": \"CRS-3440\",\n  \"code\": \"KLD251\",\n  \"title\": \"Reverse-engineered foreground infrastructure 101\",\n  \"instructor\": \"Courtney Escobar\",\n  \"credits\": 4,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"despite\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"action\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"big\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"music\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKLD251,CRS-3440,4,40,30,30,Courtney Escobar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"despite\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"choose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"action\"\"}, {\"\"\",Spring 2022,Reverse-engineered foreground infrastructure 101\r\nOND359,CRS-1832,4,40,30,30,Hector Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"general\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bag\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"significant\"\"}, \",Fall 2023,Pre-emptive multi-state alliance 101\r\nAXT418,CRS-6280,3,40,30,30,Robert Hall,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"check\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"south\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"him\"\"}, {\"\"week\"\":\",Fall 2021,Focused mission-critical success 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-485879,,CRS-1053,,2026-01-03,A,,,,,64.04,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 0, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-284737,,,89,exam\r\n,IWN240,CRS-4017,3,,,40,30,30,Beth Hoffman,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"happy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"camera\"\"}, {\"\"week\"\"\",,,Fall 2023,Pre-emptive client-driven groupware 101,,\r\n,VER341,CRS-8686,3,,,40,30,30,Lauren Avila,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bag\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"society\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"partner\"\"}, {\"\"we\",,,Fall 2023,Distributed 4thgeneration strategy 101,,\r\n,JLD206,CRS-7575,4,,,40,30,30,Michael Rodriguez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"during\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"traditional\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"example\"\"\",,,Fall 2022,Inverse radical collaboration 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need contract details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-255545\nparties:\n- name: Walter-Roberts\n  role: party_a\n- name: Beard-Hanson\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 54\nvalue: 997334\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-15490463\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"dcf0c28f-6ad6-4153-873b-0cd39fa73a46\",\n  \"username\": \"allenjames\",\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.\",\n  \"timestamp\": \"2026-01-07T13:51:27.338072\",\n  \"hashtags\": [\n    \"#left\",\n    \"#long\",\n    \"#instead\",\n    \"#budget\"\n  ],\n  \"engagement\": {\n    \"likes\": 85,\n    \"shares\": 112,\n    \"comments\": 292\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-23186111</post_id>\n<platform>twitter</platform>\n<user_id>85951ac5-a9b8-4154-8edc-693bcde245cf</user_id>\n<username>srodriguez</username>\n<content>Stand leave decade year collection. Republican point edge yet business.\nSuffer accept central against. Cup theory mouth side message.\nConcern magazine exactly maybe oil difficult.</content>\n<timestamp>2026-01-07T13:51:25.750515</timestamp>\n<hashtags>#community</hashtags>\n<hashtags>#whatever</hashtags>\n<engagement>\n<likes>4745</likes>\n<shares>251</shares>\n<comments>51</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-23186111\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"85951ac5-a9b8-4154-8edc-693bcde245cf\",\n  \"username\": \"srodriguez\",\n  \"content\": \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\",\n  \"timestamp\": \"2026-01-07T13:51:25.750515\",\n  \"hashtags\": [\n    \"#community\",\n    \"#whatever\"\n  ],\n  \"engagement\": {\n    \"likes\": 4745,\n    \"shares\": 251,\n    \"comments\": 51\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "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>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-356074\"\ntitle = \"Effect of fill on likely\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 39.78\nendpoint = 81.69\np_value = 0.1423\n\n[[results]]\nmetric = \"safety\"\nbaseline = 43.9\nendpoint = 37.5\np_value = 0.1409\n\n[[results]]\nmetric = \"safety\"\nbaseline = 61.73\nendpoint = 42.56\np_value = 0.1429\n\n[[results]]\nmetric = \"safety\"\nbaseline = 16.42\nendpoint = 81.67\np_value = 0.0929\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 875\nduration_days = 322\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output course syllabus as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nQAA477,CRS-1797,4,40,30,30,Selena Walker,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"all\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"education\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"will\"\"}, {\"\"wee\",Fall 2024,User-friendly composite interface 101\r\nMTB149,CRS-1344,3,40,30,30,Gregory Beck,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"game\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"laugh\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"staff\"\"}, {\"\"week\"\"\",Spring 2024,Sharable optimizing success 101\r\nZQP362,CRS-9238,4,40,30,30,Linda Harding,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"economic\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"nearly\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"look\"\"}, {\"\"w\",Fall 2023,Innovative cohesive customer loyalty 101\r\nVMX308,CRS-3729,3,40,30,30,Brian Johnson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"music\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"career\"\"}, {\"\"week\"\"\",Spring 2023,Open-source exuding definition 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Chair particular food effort message ten action. Forget research interesting citizen dream real.\nIss\",45,2514,63,\"[\"\"#work\"\", \"\"#resource\"\", \"\"#share\"\"]\",instagram,POST-21376438,2026-01-06T09:43:30.635480,28ca06b0-a734-473c-a8c7-8c0a661476e6,olivercharles\r\nAny mouth environmental paper say ball. Reason point moment special future rich find. Beyond securit,421,3739,812,\"[\"\"#mention\"\", \"\"#ability\"\", \"\"#offer\"\", \"\"#according\"\"]\",facebook,POST-30103776,2026-01-06T09:43:30.638822,39ba4578-1295-4821-8e15-c82027c5d9ac,michael58\r\n\"Scene eight onto foot avoid us center. Feel law second scene others.\nPretty effect owner paper he. H\",381,7099,180,\"[\"\"#upon\"\", \"\"#everything\"\"]\",facebook,POST-44356200,2026-01-06T09:43:30.641611,bc082519-c052-4007-9bb1-4d9e7ca67560,paul34\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4493327</note_id>\n<patient>\n<mrn>MRN-934301</mrn>\n<age>62</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>141/91</bp>\n<hr>100</hr>\n<temp_f>98.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I32\"\"}]\",fever,2026-01-06,CN-4493327,62,F,MRN-934301,141/91,100,98.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I72\"\"}]\",headache,2026-01-04,CN-7864346,84,F,MRN-374718,158/101,118,102.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K45\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J68\"\"}, {\"\"problem\"\": \"\"hype\",headache,2026-01-05,CN-5754626,69,M,MRN-510988,155/67,76,98.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K34\"\"}]\",chest pain,2026-01-05,CN-6724570,71,M,MRN-529742,148/64,81,97.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-48552675\ncustomer_id: 19d3d880-f410-4b85-a35d-9c5777705d1f\ntimestamp: '2026-01-07T13:51:26.837603'\nitems:\n- sku: SKU-30306\n  qty: 4\n  price: 206.74\nsubtotal: 1354.26\ntax: 33.08\ntotal: 766.28\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-948175\"\nstudent_id = \"STU-160858\"\ncourse_id = \"CRS-5368\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 89\npercentage = 96.29\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-953318,2026-01-02,\"[{\"\"name\"\": \"\"Lozano-Barrera\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Thompson-Erickson\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,51,860753\r\nCTR-790693,2026-01-03,\"[{\"\"name\"\": \"\"Johnston-Krueger\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Burke, Webb and Bennett\"\", \"\"role\"\": \"\"party\",executed,27,882492\r\nCTR-933201,2026-01-04,\"[{\"\"name\"\": \"\"Smith, Brown and Howard\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Perry-Todd\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,23,546778\r\nCTR-111955,2026-01-01,\"[{\"\"name\"\": \"\"King-Jones\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Rivera-Whitaker\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,26,287557\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"info\": {\n    \"title\": \"Object-based multimedia secured line API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/party\": {\n      \"get\": {\n        \"summary\": \"Discussion partner stay wear again.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/party_get_parameters,paths_/party_get_responses_200_description,paths_/party_get_responses_400_description,paths_/party_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Object-based multimedia secured line API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Discussion partner stay wear again.,,,,\r\nMeeting material administration become within. Part however quite.,\"[{\"\"name\"\": \"\"Devon Bentley\"\", \"\"affiliation\"\": \"\"Campbell-Palmer\"\", \"\"email\"\": \"\"haley90@example.net\"\"}, {\"\"name\",306,\"Carr, Butler and Pruitt\",,,\"[\"\"enter\"\", \"\"blue\"\", \"\"year\"\", \"\"hot\"\"]\",,arXiv:2022.42243,,,,,10.3428/FCjW,Science,2023,Cloned client-driven Graphical User Interface\r\n\"Able always newspaper take expert inside. Friend bank seat forget high nor.\nMovie animal all policy \",\"[{\"\"name\"\": \"\"Earl Goodwin\"\", \"\"affiliation\"\": \"\"Hernandez and Sons\"\", \"\"email\"\": \"\"dustin96@example.com\"\"}, {\"\"n\",200,\"Gonzalez, Moran and White\",,,\"[\"\"development\"\", \"\"now\"\", \"\"what\"\", \"\"during\"\", \"\"professional\"\"]\",,arXiv:2021.87871,,,,,10.6337/KTqP,Nature,2023,Persevering well-modulated project\r\nPart maybe somebody after. Prepare especially participant nature apply smile.,\"[{\"\"name\"\": \"\"Christopher Avery\"\", \"\"affiliation\"\": \"\"Clark, Bailey and Rodriguez\"\", \"\"email\"\": \"\"tbrown@exampl\",64,None,,,\"[\"\"better\"\", \"\"quickly\"\", \"\"civil\"\", \"\"who\"\"]\",,arXiv:2022.53324,,,,,10.4616/jUDh,Science,2024,Multi-layered bifurcated focus group\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-615844,Brian Erickson,RX-5973418\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-217960,Christopher Aguirre,RX-2027791\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-735709,Candace Moss,RX-1363951\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-986141</product_id>\n<name>Focused neutral encoding</name>\n<category>books</category>\n<price>14.45</price>\n<currency>USD</currency>\n<stock>826</stock>\n<is_available>True</is_available>\n<rating>4.59</rating>\n<reviews>564</reviews>\n<specs>\n<weight_kg>27.7</weight_kg>\n<dimensions>42x99x90cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-986141\",\n  \"name\": \"Focused neutral encoding\",\n  \"category\": \"books\",\n  \"price\": 14.45,\n  \"currency\": \"USD\",\n  \"stock\": 826,\n  \"is_available\": true,\n  \"rating\": 4.59,\n  \"reviews\": 564,\n  \"specs\": {\n    \"weight_kg\": 27.7,\n    \"dimensions\": \"42x99x90cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-160417</experiment_id>\n<title>Effect of agree on both</title>\n<methodology>\n<design>cohort</design>\n<sample_size>663</sample_size>\n<duration_days>354</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>13.92</baseline>\n<endpoint>49.07</endpoint>\n<p_value>0.4102</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>15.99</baseline>\n<endpoint>65.81</endpoint>\n<p_value>0.3043</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>46.51</baseline>\n<endpoint>82.23</endpoint>\n<p_value>0.4775</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 7ba58b8f-2d40-4e84-bfd9-ab92304360e2\ntimestamp: '2026-01-06T09:43:30.353465'\nlevel: ERROR\nservice: middleService\nmessage: Program provide recognize alone media wait analysis.\nstack_trace:\n- at new.py:376\n- at take.py:181\n- at strategy.py:363\ncontext:\n  user_id: 66a807a4-5dca-4fee-b3a2-e04d92bc0fbc\n  request_id: 885ef256-c971-4123-b55b-c749aa5a4a2f\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Hill-Marsh\",\n  \"ticker\": \"ZFVR\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 46703834,\n  \"expenses\": 77071880,\n  \"net_income\": 4141173,\n  \"eps\": 8.71,\n  \"metrics\": {\n    \"profit_margin\": 28.84,\n    \"roe\": 14.06\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Hill-Marsh</company>\n<ticker>ZFVR</ticker>\n<quarter>Q3 2024</quarter>\n<revenue>46703834</revenue>\n<expenses>77071880</expenses>\n<net_income>4141173</net_income>\n<eps>8.71</eps>\n<metrics>\n<profit_margin>28.84</profit_margin>\n<roe>14.06</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nerror_id: 234c0781-6e40-4e46-8b0d-ad1b39309eb0\ntimestamp: '2026-01-07T13:51:25.659911'\nlevel: WARNING\nservice: beyondService\nmessage: Section material entire top community.\nstack_trace:\n- at reason.py:320\n- at always.py:365\n- at red.py:27\ncontext:\n  user_id: 6765bd92-f82e-426f-a383-fa0a088a0752\n  request_id: 4ccfb0b5-8185-4d26-902a-0379b3534400\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from YAML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"234c0781-6e40-4e46-8b0d-ad1b39309eb0\"\ntimestamp = \"2026-01-07T13:51:25.659911\"\nlevel = \"WARNING\"\nservice = \"beyondService\"\nmessage = \"Section material entire top community.\"\nstack_trace = [ \"at reason.py:320\", \"at always.py:365\", \"at red.py:27\",]\n\n[context]\nuser_id = \"6765bd92-f82e-426f-a383-fa0a088a0752\"\nrequest_id = \"4ccfb0b5-8185-4d26-902a-0379b3534400\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastati\",MRN-568012,Linda Gonzalez,RX-5160762\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-985234,Tony Shea,RX-7857979\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-385502,Vicki Ramos,RX-8336764\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-731089,Sherry Roberts,RX-2357569\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-193862,Kristen Young,RX-1985896\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-561051,observational,247,722,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 56.39, \"\"endpoint\"\": 83.12, \"\"p_value\"\": 0.0984}, {\"\"metric\"\": \"\"efficacy\",Effect of general on debate\r\nsignificant,EXP-915734,observational,214,853,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 38.04, \"\"endpoint\"\": 25.43, \"\"p_value\"\": 0.4615}, {\"\"metric\"\": \"\"safety\"\",\",Effect of writer on rich\r\nnon-significant,EXP-305564,cohort,302,76,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 69.74, \"\"endpoint\"\": 73.74, \"\"p_value\"\": 0.4925}, {\"\"metric\"\": \"\"safety\"\",\",Effect of any on lose\r\nnon-significant,EXP-223771,cohort,331,403,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.99, \"\"endpoint\"\": 75.29, \"\"p_value\"\": 0.2353}, {\"\"metric\"\": \"\"safety\",Effect of shoulder on pass\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-1995080\npatient_mrn: MRN-674224\nprescriber: Emily Herrera\ndate: '2026-01-05'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-350362\",\n  \"student_id\": \"STU-421536\",\n  \"course_id\": \"CRS-1231\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 51,\n  \"percentage\": 80.6,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-225883</assessment_id>\n<student_id>STU-314827</student_id>\n<course_id>CRS-2408</course_id>\n<type>quiz</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>13</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>99</total_score>\n<percentage>82.0</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-225883\",\n  \"student_id\": \"STU-314827\",\n  \"course_id\": \"CRS-2408\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 99,\n  \"percentage\": 82.0,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6709459\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J90\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I22\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K97\"\n\n[patient]\nmrn = \"MRN-104418\"\nage = 50\ngender = \"M\"\n\n[vitals]\nbp = \"143/96\"\nhr = 69\ntemp_f = 101.3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"category\": \"electronics\",\n  \"specs\": {\n    \"weight_kg\": 38.59,\n    \"dimensions\": \"23x92x45cm\"\n  },\n  \"stock\": 596,\n  \"price\": 218.58\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-274282\nparties:\n- name: Schroeder LLC\n  role: party_a\n- name: Kemp-Jones\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 28\nvalue: 285721\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle: Exactly almost full new record save.\ndate: '2026-01-02'\nproduct_id: PROD-922306\ncontent: 'Arrive much low will teach. By possible nature learn could. Act hot whole\n  guy experience.\n\n  Identify world fight stock. Force fear soon. Author night think.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1869\"\ncode = \"TST452\"\ntitle = \"Automated asymmetric function 101\"\ninstructor = \"Stephanie Hernandez\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"including\"\n\n[[schedule]]\nweek = 2\ntopic = \"national\"\n\n[[schedule]]\nweek = 3\ntopic = \"compare\"\n\n[[schedule]]\nweek = 4\ntopic = \"run\"\n\n[[schedule]]\nweek = 5\ntopic = \"plan\"\n\n[[schedule]]\nweek = 6\ntopic = \"maybe\"\n\n[[schedule]]\nweek = 7\ntopic = \"traditional\"\n\n[[schedule]]\nweek = 8\ntopic = \"security\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9458448\",\n  \"patient_mrn\": \"MRN-362998\",\n  \"prescriber\": \"Courtney Hansen\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Tucker and Sons\",\n  \"ticker\": \"BPQE\",\n  \"quarter\": \"Q4 2024\",\n  \"revenue\": 70279854,\n  \"expenses\": 61737533,\n  \"net_income\": 12235621,\n  \"eps\": 3.52,\n  \"metrics\": {\n    \"profit_margin\": 24.27,\n    \"roe\": 16.15\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Tucker and Sons</company>\n<ticker>BPQE</ticker>\n<quarter>Q4 2024</quarter>\n<revenue>70279854</revenue>\n<expenses>61737533</expenses>\n<net_income>12235621</net_income>\n<eps>3.52</eps>\n<metrics>\n<profit_margin>24.27</profit_margin>\n<roe>16.15</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-4278484\",\n  \"patient_mrn\": \"MRN-990980\",\n  \"prescriber\": \"Andrew Kelly\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-4278484</rx_id>\n<patient_mrn>MRN-990980</patient_mrn>\n<prescriber>Andrew Kelly</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6873</course_id>\n<code>GDK183</code>\n<title>Grass-roots 24/7 emulation 101</title>\n<instructor>Melinda Thompson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>girl</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>explain</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>center</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>almost</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>property</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>call</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>bad</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>study</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>campaign</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>performance</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>sport</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/sense\": {\n      \"get\": {\n        \"summary\": \"Pay yes agree executive year ahead program.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Customer-focused zero-defect array API\",\n    \"version\": \"1.0.0\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</sense>\n<get>\n<summary>Pay yes agree executive year ahead program.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sense>\n</paths>\n<info>\n<title>Customer-focused zero-defect array API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\"\ntimestamp = \"2026-01-07T13:51:27.288021\"\nlevel = \"CRITICAL\"\nservice = \"reasonService\"\nmessage = \"Recent security meet three Congress find seat.\"\nstack_trace = [ \"at current.py:236\", \"at your.py:146\", \"at without.py:194\",]\n\n[context]\nuser_id = \"fc408ea4-9df4-4d81-87da-9d63d4bc8744\"\nrequest_id = \"d8c95012-b6bb-42d7-8cb4-e57e77353a5b\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"patient\": {\n    \"mrn\": \"MRN-802088\",\n    \"age\": 30,\n    \"gender\": \"M\"\n  },\n  \"note_id\": \"CN-3759937\",\n  \"vitals\": {\n    \"bp\": \"119/74\",\n    \"hr\": 67,\n    \"temp_f\": 100.9\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nproduct_id = \"PROD-325945\"\nname = \"Universal bottom-line system engine\"\ncategory = \"electronics\"\nprice = 225.75\ncurrency = \"USD\"\nstock = 955\nis_available = true\nrating = 3.31\nreviews = 802\n\n[specs]\nweight_kg = 22.25\ndimensions = \"77x29x32cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-325945</product_id>\n<name>Universal bottom-line system engine</name>\n<category>electronics</category>\n<price>225.75</price>\n<currency>USD</currency>\n<stock>955</stock>\n<is_available>True</is_available>\n<rating>3.31</rating>\n<reviews>802</reviews>\n<specs>\n<weight_kg>22.25</weight_kg>\n<dimensions>77x29x32cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need prescription details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-462924,Katelyn Jennings,RX-3166969\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-486492,Eric Brown,RX-7777071\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-646195,Thomas Moran,RX-4814482\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-218218,Connie Jacobs,RX-7958671\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n6c5d6d8e-2901-438d-be6d-be57a13ea5ab,\"[{\"\"sku\"\": \"\"SKU-80058\"\", \"\"qty\"\": 4, \"\"price\"\": 142.37}, {\"\"sku\"\": \"\"SKU-53232\"\", \"\"qty\"\": 1, \"\"price\"\": 151.54}]\",credit_card,692.94,100.91,2026-01-07T13:51:25.485684,1647.14,TXN-31892506\r\n190a0692-5311-4054-9697-eacf0b177417,\"[{\"\"sku\"\": \"\"SKU-15558\"\", \"\"qty\"\": 2, \"\"price\"\": 227.29}, {\"\"sku\"\": \"\"SKU-43656\"\", \"\"qty\"\": 1, \"\"price\"\": 238.5}, {\"\"\",credit_card,1915.2,116.94,2026-01-07T13:51:25.486612,1924.5,TXN-18209031\r\necac2df7-dff7-4caf-92a9-bfcf8a0626d2,\"[{\"\"sku\"\": \"\"SKU-80911\"\", \"\"qty\"\": 3, \"\"price\"\": 331.39}, {\"\"sku\"\": \"\"SKU-99329\"\", \"\"qty\"\": 2, \"\"price\"\": 298.06}, {\",paypal,1616.95,50.66,2026-01-07T13:51:25.486671,493.4,TXN-77704630\r\ne3a778bb-00fd-4562-90df-ed8f2a763138,\"[{\"\"sku\"\": \"\"SKU-80038\"\", \"\"qty\"\": 5, \"\"price\"\": 475.78}, {\"\"sku\"\": \"\"SKU-53164\"\", \"\"qty\"\": 1, \"\"price\"\": 486.58}, {\",credit_card,1304.79,163.85,2026-01-07T13:51:25.486736,1284.07,TXN-65972559\r\n4d3d7b5d-c27f-4c71-8965-b38044aeb365,\"[{\"\"sku\"\": \"\"SKU-18432\"\", \"\"qty\"\": 5, \"\"price\"\": 197.63}, {\"\"sku\"\": \"\"SKU-99824\"\", \"\"qty\"\": 1, \"\"price\"\": 262.9}, {\"\"\",credit_card,1444.13,95.96,2026-01-07T13:51:25.486779,1677.28,TXN-19004201\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-350362\nstudent_id: STU-421536\ncourse_id: CRS-1231\ntype: exam\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 2\n  points_possible: 10\n- question: 2\n  points_earned: 1\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 8\n  points_possible: 10\n- question: 5\n  points_earned: 8\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 5\n  points_possible: 10\n- question: 8\n  points_earned: 2\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\n- question: 10\n  points_earned: 2\n  points_possible: 10\n- question: 11\n  points_earned: 9\n  points_possible: 10\ntotal_score: 51\npercentage: 80.6\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-422317\nstudent_id: STU-280699\ncourse_id: CRS-7308\ntype: exam\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 2\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 10\n  points_possible: 10\n- question: 6\n  points_earned: 3\n  points_possible: 10\n- question: 7\n  points_earned: 7\n  points_possible: 10\ntotal_score: 75\npercentage: 83.59\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nList floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require ,61,3006,53,\"[\"\"#study\"\", \"\"#able\"\", \"\"#week\"\"]\",instagram,POST-33796851,2026-01-07T13:51:26.038556,aa32cdd3-72c6-4e38-bd5e-ff3918321d73,qtownsend\r\nBuild answer current authority billion suffer. As mission home thank. Friend student home physical s,113,5722,279,\"[\"\"#face\"\", \"\"#attack\"\", \"\"#street\"\", \"\"#environment\"\"]\",instagram,POST-51713088,2026-01-07T13:51:26.040314,59ccac62-719d-4537-be96-594192d662a1,maryochoa\r\n\"Miss various understand before. Often before city benefit.\nCould star foreign you general woman. Typ\",384,4665,653,\"[\"\"#cause\"\", \"\"#evidence\"\", \"\"#herself\"\", \"\"#believe\"\"]\",twitter,POST-60828711,2026-01-07T13:51:26.040835,9ae4eb9b-952f-4899-ac97-1beb8c83fc8a,mlambert\r\nTeacher want heavy human agent impact beat too. Black cost yourself whole everyone yeah usually all.,459,3908,195,\"[\"\"#environmental\"\", \"\"#machine\"\"]\",twitter,POST-21374621,2026-01-07T13:51:26.041411,a40f76f6-f99e-43b7-b2de-81d70e39d714,hunterwilliam\r\nWatch east likely network explain decision into. Rest catch low process president. Quickly best even,2,451,213,\"[\"\"#occur\"\", \"\"#start\"\", \"\"#third\"\", \"\"#light\"\"]\",twitter,POST-11149049,2026-01-07T13:51:26.041921,b4c034b8-fac8-431e-8fb4-ba55aceef6c0,rthomas\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-6873\",\n  \"code\": \"GDK183\",\n  \"title\": \"Grass-roots 24/7 emulation 101\",\n  \"instructor\": \"Melinda Thompson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"girl\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"explain\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"center\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"almost\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"property\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"call\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"bad\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"study\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"campaign\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"performance\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"sport\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-32645861\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b5521d05-1410-43ee-b828-2c240f95461c\",\n  \"username\": \"yanderson\",\n  \"content\": \"Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.\",\n  \"timestamp\": \"2026-01-07T13:51:27.526455\",\n  \"hashtags\": [\n    \"#door\",\n    \"#relate\"\n  ],\n  \"engagement\": {\n    \"likes\": 5828,\n    \"shares\": 957,\n    \"comments\": 117\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-32645861</post_id>\n<platform>facebook</platform>\n<user_id>b5521d05-1410-43ee-b828-2c240f95461c</user_id>\n<username>yanderson</username>\n<content>Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.</content>\n<timestamp>2026-01-07T13:51:27.526455</timestamp>\n<hashtags>#door</hashtags>\n<hashtags>#relate</hashtags>\n<engagement>\n<likes>5828</likes>\n<shares>957</shares>\n<comments>117</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Woods and Sons\nticker: ZCNM\nquarter: Q1 2020\nrevenue: 42196406\nexpenses: 48284794\nnet_income: 2937548\neps: 8.84\nmetrics:\n  profit_margin: 12.42\n  roe: 23.86\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-530397\nstudent_id: STU-509684\ncourse_id: CRS-8191\ntype: quiz\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 3\n  points_possible: 10\n- question: 2\n  points_earned: 5\n  points_possible: 10\n- question: 3\n  points_earned: 4\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 0\n  points_possible: 10\n- question: 6\n  points_earned: 9\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 6\n  points_possible: 10\n- question: 9\n  points_earned: 5\n  points_possible: 10\n- question: 10\n  points_earned: 10\n  points_possible: 10\n- question: 11\n  points_earned: 7\n  points_possible: 10\n- question: 12\n  points_earned: 9\n  points_possible: 10\n- question: 13\n  points_earned: 2\n  points_possible: 10\n- question: 14\n  points_earned: 7\n  points_possible: 10\ntotal_score: 91\npercentage: 61.03\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J94\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I96\"\"}]\",chest pain,2026-01-03,CN-6953622,88,F,MRN-161704,100/77,90,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J40\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I98\"\"}]\",fever,2026-01-02,CN-1019840,20,M,MRN-335081,143/80,90,97.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K36\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J96\"\"}]\",chest pain,2026-01-01,CN-4204609,30,M,MRN-280087,135/101,69,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J53\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K73\"\"}]\",chest pain,2026-01-01,CN-8582604,63,F,MRN-684471,159/70,71,98.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K78\"\"}]\",fever,2026-01-04,CN-5996301,49,M,MRN-970228,151/109,106,102.8\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Business-focused zero administration encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/teach\": {\n      \"get\": {\n        \"summary\": \"Government trade direction personal reason hundred\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Business-focused zero administration encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</teach>\n<get>\n<summary>Government trade direction personal reason hundred</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//teach>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nproduct_id: PROD-986141\nname: Focused neutral encoding\ncategory: books\nprice: 14.45\ncurrency: USD\nstock: 826\nis_available: true\nrating: 4.59\nreviews: 564\nspecs:\n  weight_kg: 27.7\n  dimensions: 42x99x90cm\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-986141\"\nname = \"Focused neutral encoding\"\ncategory = \"books\"\nprice = 14.45\ncurrency = \"USD\"\nstock = 826\nis_available = true\nrating = 4.59\nreviews = 564\n\n[specs]\nweight_kg = 27.7\ndimensions = \"42x99x90cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4036732\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K52\"\n\n[patient]\nmrn = \"MRN-366942\"\nage = 79\ngender = \"M\"\n\n[vitals]\nbp = \"102/96\"\nhr = 61\ntemp_f = 97.1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-6846954\",\n  \"headline\": \"Triple-buffered intangible knowledgebase\",\n  \"author\": \"Steven Burgess\",\n  \"published\": \"2026-01-02T13:52:55.283034\",\n  \"section\": \"Politics\",\n  \"content\": \"Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.\",\n  \"tags\": [\n    \"couple\",\n    \"specific\",\n    \"him\"\n  ],\n  \"views\": 35509,\n  \"shares\": 3662\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-6846954</article_id>\n<headline>Triple-buffered intangible knowledgebase</headline>\n<author>Steven Burgess</author>\n<published>2026-01-02T13:52:55.283034</published>\n<section>Politics</section>\n<content>Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.</content>\n<tags>couple</tags>\n<tags>specific</tags>\n<tags>him</tags>\n<views>35509</views>\n<shares>3662</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-582117\"\ntitle = \"Effect of range on democratic\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 83.36\nendpoint = 73.41\np_value = 0.2943\n\n[[results]]\nmetric = \"safety\"\nbaseline = 92.16\nendpoint = 17.35\np_value = 0.3318\n\n[[results]]\nmetric = \"safety\"\nbaseline = 73.07\nendpoint = 58.35\np_value = 0.1616\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 272\nduration_days = 265\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8348908</note_id>\n<patient>\n<mrn>MRN-109351</mrn>\n<age>84</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>157/81</bp>\n<hr>101</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K69</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J80</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-879460,,CRS-8763,,2026-01-03,B,,,,,96.07,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 4, \"\"po\",STU-948921,,,83,quiz\r\n,DYC197,CRS-3929,4,,,40,30,30,Nicholas Diaz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"like\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"town\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"and\"\"}, {\"\"week\"\": 4\",,,Spring 2022,Ameliorated content-based capacity 101,,\r\n,CON455,CRS-7490,3,,,40,30,30,Richard Carpenter,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"knowledge\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"actually\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ever\"\"}, \",,,Fall 2024,Devolved mission-critical parallelism 101,,\r\n,NPX130,CRS-8831,3,,,40,30,30,Carolyn Sloan,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"others\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"computer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"far\"\"}, {\"\"we\",,,Fall 2024,Universal maximized firmware 101,,\r\n,UKF187,CRS-3457,3,,,40,30,30,Lisa Moore,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"under\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"probably\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"candidate\"\"},\",,,Fall 2022,Balanced disintermediate task-force 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id: ASMT-879460\nstudent_id: STU-948921\ncourse_id: CRS-8763\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 4\n  points_possible: 10\n- question: 3\n  points_earned: 7\n  points_possible: 10\n- question: 4\n  points_earned: 3\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 6\n  points_possible: 10\n- question: 8\n  points_earned: 9\n  points_possible: 10\ntotal_score: 83\npercentage: 96.07\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CMP,MRN-113920,LAB-6058191,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 139.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 71.4,\"\r\n2026-01-03,Lipid,MRN-277735,LAB-6468834,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 91.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-02,Lipid,MRN-158173,LAB-5374276,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 122.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\":\"\r\n2026-01-02,CBC,MRN-422186,LAB-9519611,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 193.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 125.5, \"\"u\"\r\n2026-01-02,CMP,MRN-160437,LAB-4877103,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 91.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need api specification details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Optimized high-level initiative API\"\nversion = \"1.0.0\"\n\n[paths.\"/soon\".get]\nsummary = \"Use reduce once record measure note entire.\"\n[[paths.\"/soon\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/soon\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/soon\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/soon\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nVNO257,CRS-1988,3,40,30,30,Rebecca Watkins,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"financial\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wait\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"economic\"\"}, \",Spring 2022,Fully-configurable tangible Local Area Network 101\r\nNST273,CRS-5715,3,40,30,30,Jose Mcintosh,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"image\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"similar\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"nature\"\"}, {\"\"w\",Spring 2024,Quality-focused intermediate moratorium 101\r\nWXI153,CRS-8020,3,40,30,30,Angela French,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"remember\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"already\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"community\"\"\",Spring 2024,Centralized homogeneous access 101\r\nRLP346,CRS-7524,3,40,30,30,Misty Lyons,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"good\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"health\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"music\"\"}, {\"\"week\",Spring 2023,Monitored radical utilization 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-428311</product_id>\n<name>Object-based value-added workforce</name>\n<category>books</category>\n<price>802.3</price>\n<currency>USD</currency>\n<stock>719</stock>\n<is_available>True</is_available>\n<rating>1.5</rating>\n<reviews>81</reviews>\n<specs>\n<weight_kg>27.85</weight_kg>\n<dimensions>99x87x32cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-428311\nname: Object-based value-added workforce\ncategory: books\nprice: 802.3\ncurrency: USD\nstock: 719\nis_available: true\nrating: 1.5\nreviews: 81\nspecs:\n  weight_kg: 27.85\n  dimensions: 99x87x32cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-533467\ntitle: Effect of nothing on move\nmethodology:\n  design: cohort\n  sample_size: 131\n  duration_days: 116\nresults:\n- metric: safety\n  baseline: 15.4\n  endpoint: 65.75\n  p_value: 0.0207\n- metric: safety\n  baseline: 20.29\n  endpoint: 98.18\n  p_value: 0.0159\n- metric: efficacy\n  baseline: 19.63\n  endpoint: 73.93\n  p_value: 0.358\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"paper_id\": \"arXiv:2020.59386\",\n  \"title\": \"Self-enabling demand-driven application\",\n  \"authors\": [\n    {\n      \"name\": \"Keith Wilcox\",\n      \"affiliation\": \"Ruiz-Torres\",\n      \"email\": \"martinstephanie@example.org\"\n    },\n    {\n      \"name\": \"Jennifer Mccoy\",\n      \"affiliation\": \"Thompson-Marshall\",\n      \"email\": \"brianvelasquez@example.org\"\n    }\n  ],\n  \"abstract\": \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\",\n  \"keywords\": [\n    \"song\",\n    \"TV\",\n    \"southern\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.1369/MikD\"\n  },\n  \"citations\": 274,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.59386</paper_id>\n<title>Self-enabling demand-driven application</title>\n<authors>\n<name>Keith Wilcox</name>\n<affiliation>Ruiz-Torres</affiliation>\n<email>martinstephanie@example.org</email>\n</authors>\n<authors>\n<name>Jennifer Mccoy</name>\n<affiliation>Thompson-Marshall</affiliation>\n<email>brianvelasquez@example.org</email>\n</authors>\n<abstract>Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.</abstract>\n<keywords>song</keywords>\n<keywords>TV</keywords>\n<keywords>southern</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.1369/MikD</doi>\n</publication>\n<citations>274</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-13058367</txn_id>\n<customer_id>852e4544-1bd4-44f1-abf0-2ff01b4a4792</customer_id>\n<timestamp>2026-01-07T13:51:26.835091</timestamp>\n<items>\n<sku>SKU-47822</sku>\n<qty>3</qty>\n<price>237.72</price>\n</items>\n<items>\n<sku>SKU-38430</sku>\n<qty>4</qty>\n<price>285.9</price>\n</items>\n<items>\n<sku>SKU-22327</sku>\n<qty>1</qty>\n<price>141.71</price>\n</items>\n<subtotal>408.33</subtotal>\n<tax>11.32</tax>\n<total>1142.29</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-690622\ntitle: Effect of drug on effect\nmethodology:\n  design: RCT\n  sample_size: 718\n  duration_days: 247\nresults:\n- metric: efficacy\n  baseline: 65.65\n  endpoint: 47.19\n  p_value: 0.4009\n- metric: efficacy\n  baseline: 18.88\n  endpoint: 49.79\n  p_value: 0.0184\n- metric: efficacy\n  baseline: 32.37\n  endpoint: 97.44\n  p_value: 0.3919\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-2971879\",\n  \"product_id\": \"PROD-601177\",\n  \"user_id\": \"49ec79ac-cc63-409f-8812-a70c492b6835\",\n  \"rating\": 3,\n  \"title\": \"Safe everything country understand subject.\",\n  \"content\": \"Explain among above role speech. Hear law enjoy. Lose building fall everything million.\\nEast choose however class dark test good contain. Indicate worker mean hot.\",\n  \"date\": \"2026-01-06\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 67\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2971879</review_id>\n<product_id>PROD-601177</product_id>\n<user_id>49ec79ac-cc63-409f-8812-a70c492b6835</user_id>\n<rating>3</rating>\n<title>Safe everything country understand subject.</title>\n<content>Explain among above role speech. Hear law enjoy. Lose building fall everything million.\nEast choose however class dark test good contain. Indicate worker mean hot.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>67</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nGarden information industry play smile. Least girl hair might. Tough might think wear thing experien,\"[{\"\"name\"\": \"\"Elizabeth Hardy\"\", \"\"affiliation\"\": \"\"Cooper-Le\"\", \"\"email\"\": \"\"christy03@example.org\"\"}, {\"\"name\"\":\",225,Cook PLC,\"[\"\"century\"\", \"\"great\"\", \"\"manage\"\", \"\"assume\"\"]\",arXiv:2021.37044,10.4810/XJNh,Science,2020,Centralized secondary benchmark\r\nEverything between scene. Mean wear why increase major billion. Someone until challenge happen trade,\"[{\"\"name\"\": \"\"Lori Smith\"\", \"\"affiliation\"\": \"\"Santos-Odom\"\", \"\"email\"\": \"\"athompson@example.com\"\"}, {\"\"name\"\": \"\"S\",141,None,\"[\"\"positive\"\", \"\"rate\"\", \"\"choice\"\", \"\"book\"\"]\",arXiv:2022.35873,10.9781/aIew,Cell,2021,Phased well-modulated artificial intelligence\r\nFocus letter week entire mother. Police argue style budget cup.,\"[{\"\"name\"\": \"\"Shannon Jackson\"\", \"\"affiliation\"\": \"\"White Inc\"\", \"\"email\"\": \"\"deniseguerra@example.org\"\"}, {\"\"nam\",137,\"Jones, Cox and Rodriguez\",\"[\"\"way\"\", \"\"mouth\"\", \"\"paper\"\", \"\"fall\"\"]\",arXiv:2020.75212,10.4644/NZwH,Science,2023,Multi-layered well-modulated contingency\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output news article as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-3366717\"\nheadline = \"Integrated bi-directional complexity\"\nauthor = \"Linda Clark\"\npublished = \"2026-01-07T13:19:20.433040\"\nsection = \"Tech\"\ncontent = \"Anything music blood how public to. Even student idea piece if. Whom phone rich long.\\nLook memory help find reduce. Structure most tough realize ground.\\nAround fear reduce ago. Thus moment letter evening stuff three.\\nHer themselves campaign cup four catch as. Part turn leg.\"\ntags = [ \"necessary\", \"listen\", \"employee\", \"here\",]\nviews = 75939\nshares = 1143\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-2188860\",\n  \"headline\": \"Advanced well-modulated service-desk\",\n  \"author\": \"Michael Logan\",\n  \"published\": \"2026-01-03T08:09:52.608144\",\n  \"section\": \"Politics\",\n  \"content\": \"Include start build no effort continue. Mention sister mention threat.\\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.\",\n  \"tags\": [\n    \"hear\",\n    \"civil\",\n    \"might\",\n    \"way\",\n    \"win\"\n  ],\n  \"views\": 35184,\n  \"shares\": 1092\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2188860</article_id>\n<headline>Advanced well-modulated service-desk</headline>\n<author>Michael Logan</author>\n<published>2026-01-03T08:09:52.608144</published>\n<section>Politics</section>\n<content>Include start build no effort continue. Mention sister mention threat.\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.</content>\n<tags>hear</tags>\n<tags>civil</tags>\n<tags>might</tags>\n<tags>way</tags>\n<tags>win</tags>\n<views>35184</views>\n<shares>1092</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1689\ncode: NZW166\ntitle: Operative modular system engine 101\ninstructor: David Chen\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: in\n- week: 2\n  topic: summer\n- week: 3\n  topic: unit\n- week: 4\n  topic: wind\n- week: 5\n  topic: act\n- week: 6\n  topic: itself\n- week: 7\n  topic: would\n- week: 8\n  topic: itself\n- week: 9\n  topic: tell\n- week: 10\n  topic: money\n- week: 11\n  topic: long\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 91d16731-5e7b-4a47-8285-7a54d79d3b76\ntimestamp: '2026-01-07T13:51:25.635487'\nlevel: WARNING\nservice: AmericanService\nmessage: Drug sell certainly major total.\nstack_trace:\n- at although.py:151\n- at mission.py:443\ncontext:\n  user_id: 11d85442-7276-4e30-9249-06df8089bd39\n  request_id: f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3102\"\nstudent_id = \"STU-609423\"\ndate = \"2026-01-05\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Becker-Martinez</company>\n<ticker>QZXR</ticker>\n<quarter>Q4 2021</quarter>\n<revenue>48919598</revenue>\n<expenses>50274851</expenses>\n<net_income>7284021</net_income>\n<eps>2.39</eps>\n<metrics>\n<profit_margin>17.0</profit_margin>\n<roe>10.6</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1689</course_id>\n<code>NZW166</code>\n<title>Operative modular system engine 101</title>\n<instructor>David Chen</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>in</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>unit</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>wind</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>act</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>would</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>tell</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>money</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>long</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-1689\",\n  \"code\": \"NZW166\",\n  \"title\": \"Operative modular system engine 101\",\n  \"instructor\": \"David Chen\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"in\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"unit\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"wind\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"act\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"would\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"tell\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"money\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"long\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.79764\ntitle: Progressive exuding adapter\nauthors:\n- name: Gary Johnson\n  affiliation: Wolf Group\n  email: jamie40@example.org\n- name: Lisa Ortega\n  affiliation: Wells, Flores and Cooper\n  email: nicholas25@example.com\n- name: Kimberly Alvarez\n  affiliation: Lewis-Hunt\n  email: bookersteven@example.com\nabstract: Win both purpose hour professor table.\nkeywords:\n- office\n- during\n- more\n- apply\n- program\npublication:\n  venue: Nature\n  year: 2023\n  doi: 10.1780/NyHo\ncitations: 258\nfunding_source: Espinoza, Khan and Lowe\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>7af25ba6-3e63-43d5-89e6-c5a6b377b923</error_id>\n<timestamp>2026-01-07T13:51:26.975438</timestamp>\n<level>CRITICAL</level>\n<service>downService</service>\n<message>Prevent true movie stop.</message>\n<stack_trace>at hand.py:436</stack_trace>\n<stack_trace>at whose.py:275</stack_trace>\n<stack_trace>at information.py:57</stack_trace>\n<stack_trace>at central.py:306</stack_trace>\n<context>\n<user_id>dc348ded-7e54-44aa-bfc8-75caf977ffdf</user_id>\n<request_id>cc597ab0-ad26-419a-8cbb-1facc38a2f79</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"contract_id\": \"CTR-784600\",\n  \"parties\": [\n    {\n      \"name\": \"Snyder-Thornton\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Oliver Group\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 16,\n  \"value\": 53888,\n  \"status\": \"active\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-784600</contract_id>\n<parties>\n<name>Snyder-Thornton</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Oliver Group</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>16</term_months>\n<value>53888</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2023.87771\",\n  \"title\": \"User-centric stable ability\",\n  \"authors\": [\n    {\n      \"name\": \"Todd Hall MD\",\n      \"affiliation\": \"Nunez-Nguyen\",\n      \"email\": \"grhodes@example.net\"\n    },\n    {\n      \"name\": \"Makayla Long\",\n      \"affiliation\": \"Stanley, Sellers and Jones\",\n      \"email\": \"johnsontammy@example.net\"\n    }\n  ],\n  \"abstract\": \"Behavior skin nation pay behind remain. Then put again. Process participant current all.\",\n  \"keywords\": [\n    \"design\",\n    \"him\",\n    \"blue\",\n    \"less\",\n    \"fine\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.6248/yEgY\"\n  },\n  \"citations\": 194,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.87771</paper_id>\n<title>User-centric stable ability</title>\n<authors>\n<name>Todd Hall MD</name>\n<affiliation>Nunez-Nguyen</affiliation>\n<email>grhodes@example.net</email>\n</authors>\n<authors>\n<name>Makayla Long</name>\n<affiliation>Stanley, Sellers and Jones</affiliation>\n<email>johnsontammy@example.net</email>\n</authors>\n<abstract>Behavior skin nation pay behind remain. Then put again. Process participant current all.</abstract>\n<keywords>design</keywords>\n<keywords>him</keywords>\n<keywords>blue</keywords>\n<keywords>less</keywords>\n<keywords>fine</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.6248/yEgY</doi>\n</publication>\n<citations>194</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-225883,,CRS-2408,,2026-01-01,B,,,,,82.0,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 2, \"\"po\",STU-314827,,,99,quiz\r\n,TNL133,CRS-3203,3,,,40,30,30,Danny Gallegos,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"listen\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"light\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"dream\"\"}, {\"\"wee\",,,Fall 2020,Advanced high-level hub 101,,\r\n,HTC100,CRS-5097,4,,,40,30,30,Matthew Hampton,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"course\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"economic\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"born\"\"}, {\"\"w\",,,Fall 2024,Synergized system-worthy adapter 101,,\r\n,ENM277,CRS-9175,3,,,40,30,30,Anna Evans,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"middle\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"other\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ability\"\"}, {\"\"w\",,,Spring 2020,Universal systemic alliance 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal_revenue: 6798538\nchannels:\n- name: online\n  revenue: 2139770\n  growth: -9.99\n- name: retail\n  revenue: 1809716\n  growth: 7.01\ntop_products:\n- sku: SKU-3049\n  sales: 22854\n- sku: SKU-5505\n  sales: 203281\n- sku: SKU-9853\n  sales: 260538\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"subtotal\": 205.31,\n  \"payment_method\": \"apple_pay\",\n  \"total\": 1732.06\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,subtotal,title,total\r\n,,,,,,apple_pay,,,,205.31,,1732.06\r\nFigure situation each watch conference. Cause plant ball notice begin set arrive. Blue station reaso,\"[{\"\"name\"\": \"\"Jason Carrillo\"\", \"\"affiliation\"\": \"\"Maynard, Howell and Hayes\"\", \"\"email\"\": \"\"kevin65@example.ne\",479,None,\"[\"\"threat\"\", \"\"you\"\", \"\"true\"\", \"\"human\"\", \"\"air\"\"]\",arXiv:2021.87833,,10.8398/PLnl,Cell,2022,,Pre-emptive homogeneous strategy,\r\n\"Game floor want sign. Well our exactly health.\nWith his strategy add positive fish protect place.\",\"[{\"\"name\"\": \"\"William Cox\"\", \"\"affiliation\"\": \"\"Simpson, Vaughn and Bridges\"\", \"\"email\"\": \"\"briansanders@exampl\",487,Jacobson-Jackson,\"[\"\"put\"\", \"\"education\"\", \"\"author\"\", \"\"direction\"\"]\",arXiv:2024.73009,,10.8216/Kwti,Cell,2023,,Cross-group real-time methodology,\r\nProfessional clearly foot. Half them protect message situation young place. Seem Democrat over hit p,\"[{\"\"name\"\": \"\"Brenda Hayes\"\", \"\"affiliation\"\": \"\"Fleming, Evans and Jones\"\", \"\"email\"\": \"\"phillipsgarrett@examp\",363,None,\"[\"\"interesting\"\", \"\"rise\"\", \"\"smile\"\", \"\"course\"\", \"\"building\"\"]\",arXiv:2024.27362,,10.4582/fBmR,Science,2023,,Multi-layered disintermediate focus group,\r\nCard break real sometimes recent. Product attention act movie director. Mention traditional scene wo,\"[{\"\"name\"\": \"\"Jonathan Lee\"\", \"\"affiliation\"\": \"\"Harper-Hodge\"\", \"\"email\"\": \"\"ybrooks@example.org\"\"}, {\"\"name\"\": \"\"\",227,None,\"[\"\"something\"\", \"\"wish\"\", \"\"stuff\"\", \"\"ground\"\", \"\"peace\"\"]\",arXiv:2022.70155,,10.7574/DCWf,Science,2023,,Seamless motivating access,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-597223\nname: Proactive tertiary database\ncategory: books\nprice: 435.77\ncurrency: USD\nstock: 111\nis_available: true\nrating: 1.73\nreviews: 539\nspecs:\n  weight_kg: 19.61\n  dimensions: 87x91x85cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-2063\",\n  \"code\": \"FAH301\",\n  \"title\": \"Ameliorated zero administration productivity 101\",\n  \"instructor\": \"Aaron Bailey\",\n  \"credits\": 4,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"health\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"buy\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"conference\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"late\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"fear\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"control\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"social\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2063</course_id>\n<code>FAH301</code>\n<title>Ameliorated zero administration productivity 101</title>\n<instructor>Aaron Bailey</instructor>\n<credits>4</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>health</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>buy</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>conference</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>late</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>fear</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>control</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>social</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Silva, Bridges and Hill\nticker: OTMC\nquarter: Q4 2022\nrevenue: 79952365\nexpenses: 59631905\nnet_income: 10810625\neps: 8.4\nmetrics:\n  profit_margin: 26.24\n  roe: 22.76\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-891981\",\n  \"name\": \"Focused background info-mediaries\",\n  \"category\": \"books\",\n  \"price\": 16.4,\n  \"currency\": \"USD\",\n  \"stock\": 192,\n  \"is_available\": true,\n  \"rating\": 3.23,\n  \"reviews\": 117,\n  \"specs\": {\n    \"weight_kg\": 31.51,\n    \"dimensions\": \"65x39x62cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-891981</product_id>\n<name>Focused background info-mediaries</name>\n<category>books</category>\n<price>16.4</price>\n<currency>USD</currency>\n<stock>192</stock>\n<is_available>True</is_available>\n<rating>3.23</rating>\n<reviews>117</reviews>\n<specs>\n<weight_kg>31.51</weight_kg>\n<dimensions>65x39x62cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"contract_id\": \"CTR-760727\",\n  \"parties\": [\n    {\n      \"name\": \"King, Moore and Vazquez\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Brown, Henry and Craig\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 15,\n  \"value\": 170545,\n  \"status\": \"active\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-760727</contract_id>\n<parties>\n<name>King, Moore and Vazquez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Brown, Henry and Craig</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-04</effective_date>\n<term_months>15</term_months>\n<value>170545</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"2d978d26-6fd7-4641-b202-43ebc0760711\",\n  \"timestamp\": \"2026-01-07T13:51:26.663970\",\n  \"level\": \"WARNING\",\n  \"service\": \"someoneService\",\n  \"message\": \"Inside live none value unit Republican black.\",\n  \"stack_trace\": [\n    \"at role.py:276\",\n    \"at loss.py:371\"\n  ],\n  \"context\": {\n    \"user_id\": \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\",\n    \"request_id\": \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>2d978d26-6fd7-4641-b202-43ebc0760711</error_id>\n<timestamp>2026-01-07T13:51:26.663970</timestamp>\n<level>WARNING</level>\n<service>someoneService</service>\n<message>Inside live none value unit Republican black.</message>\n<stack_trace>at role.py:276</stack_trace>\n<stack_trace>at loss.py:371</stack_trace>\n<context>\n<user_id>26f1b94c-c76e-47ab-9121-a3f8ec11053f</user_id>\n<request_id>ce096dca-f53f-40bf-822d-ed29d8ca8dd9</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-550309\"\ntitle = \"Effect of month on four\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 21.67\nendpoint = 48.73\np_value = 0.0983\n\n[[results]]\nmetric = \"safety\"\nbaseline = 85.54\nendpoint = 80.94\np_value = 0.1421\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 99.69\nendpoint = 81.8\np_value = 0.1514\n\n[[results]]\nmetric = \"safety\"\nbaseline = 98.77\nendpoint = 47.12\np_value = 0.0017\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 169\nduration_days = 180\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.54834\ntitle: Profit-focused radical throughput\nauthors:\n- name: Scott Dunlap\n  affiliation: Daniels PLC\n  email: williamssheri@example.com\n- name: Shawn Payne\n  affiliation: Dorsey, Price and Burns\n  email: smoyer@example.net\n- name: Chase Lee\n  affiliation: Garcia Inc\n  email: burgesssarah@example.org\nabstract: 'Read deal buy final thus. Sure home game rest lose.\n\n  Those any reality if teach.\n\n  Main never still little study clearly today.'\nkeywords:\n- measure\n- stage\n- scene\n- reason\npublication:\n  venue: Science\n  year: 2020\n  doi: 10.8776/UhOT\ncitations: 388\nfunding_source: Reese-Perez\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8101750,Jeffery Whitney,College land only available dream project only. Deal long approach number peace concern. Wear natura,Ameliorated multi-tasking alliance,2026-01-01T00:10:26.076422,Politics,3355,\"[\"\"stuff\"\", \"\"understand\"\", \"\"recognize\"\"]\",94931\r\nART-1669708,John Monroe,Want difference stage high level yeah. Cover report public keep cause provide executive. Against gir,Networked grid-enabled success,2026-01-04T09:42:01.580697,Business,4304,\"[\"\"plant\"\", \"\"major\"\", \"\"finally\"\"]\",89302\r\nART-5006570,Todd Bell,\"Window system difficult again by will none.\nInclude best product tax about account reflect. Likely g\",Centralized value-added paradigm,2026-01-03T10:21:47.709149,Sports,607,\"[\"\"finally\"\", \"\"remain\"\", \"\"gas\"\"]\",47341\r\nART-5681002,Suzanne Baker,\"Meet economic rather future. Institution history impact girl hand gas.\nPlayer attention major stop o\",Ergonomic global moratorium,2026-01-01T21:42:07.442730,Business,2512,\"[\"\"eye\"\", \"\"throughout\"\", \"\"really\"\", \"\"these\"\"]\",72674\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-254069\"\nstudent_id = \"STU-414136\"\ncourse_id = \"CRS-7594\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 84\npercentage = 90.1\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need sales analytics details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1341728, \"\"growth\"\": 39.05}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 214429, \"\"\",,,,,February 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-2205\"\", \"\"sales\"\": 145682}, {\"\"sku\"\": \"\"SKU-7005\"\", \"\"sales\"\": 280084}, {\"\"sku\"\": \"\"SKU-4811\"\", \"\"sa\",8086751,71190\r\nSpeak walk personal product certainly. Always body practice. End however either surface western diff,\"[{\"\"name\"\": \"\"Paul Walker\"\", \"\"affiliation\"\": \"\"Woods PLC\"\", \"\"email\"\": \"\"irogers@example.org\"\"}, {\"\"name\"\": \"\"Patr\",,90,None,\"[\"\"throughout\"\", \"\"kid\"\", \"\"woman\"\"]\",arXiv:2021.31347,,10.5115/NIMD,Science,2022,Right-sized client-driven leverage,,,\r\n\"Old movie dog. Difficult road hand authority beyond under field.\nNear culture garden. Man shake enou\",\"[{\"\"name\"\": \"\"Brian Rowe\"\", \"\"affiliation\"\": \"\"Hoffman, Green and Wells\"\", \"\"email\"\": \"\"laura38@example.net\"\"}, \",,254,Wright-Clark,\"[\"\"behavior\"\", \"\"rich\"\", \"\"exactly\"\", \"\"policy\"\", \"\"add\"\"]\",arXiv:2023.57015,,10.8900/mEDi,Nature,2024,Profit-focused neutral parallelism,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-822403,2026-01-03,\"[{\"\"name\"\": \"\"Nguyen, Obrien and Blake\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Brown-Bowers\"\", \"\"role\"\": \"\"party_b\"\"\",active,57,545823\r\nCTR-288664,2026-01-02,\"[{\"\"name\"\": \"\"Patel, Jackson and Ruiz\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mason-Arnold\"\", \"\"role\"\": \"\"party_b\"\"}\",executed,34,561095\r\nCTR-939885,2026-01-05,\"[{\"\"name\"\": \"\"Taylor-Brown\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Padilla-Thomas\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,43,574712\r\nCTR-323254,2026-01-01,\"[{\"\"name\"\": \"\"Adams-Wilson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Figueroa and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,20,517920\r\nCTR-471124,2026-01-02,\"[{\"\"name\"\": \"\"Williams-Hall\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mosley-Lee\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,52,499108\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4827299</result_id>\n<patient_mrn>MRN-871984</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>156.4</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>186.0</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>134.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>64.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-4827299\",\n  \"patient_mrn\": \"MRN-871984\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 156.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 186.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 134.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 64.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8328\"\ncode = \"QKE428\"\ntitle = \"Decentralized content-based leverage 101\"\ninstructor = \"Sarah Simon\"\ncredits = 3\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"whole\"\n\n[[schedule]]\nweek = 2\ntopic = \"table\"\n\n[[schedule]]\nweek = 3\ntopic = \"determine\"\n\n[[schedule]]\nweek = 4\ntopic = \"evening\"\n\n[[schedule]]\nweek = 5\ntopic = \"once\"\n\n[[schedule]]\nweek = 6\ntopic = \"some\"\n\n[[schedule]]\nweek = 7\ntopic = \"themselves\"\n\n[[schedule]]\nweek = 8\ntopic = \"table\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2022.73738\",\n  \"title\": \"Switchable maximized Local Area Network\",\n  \"authors\": [\n    {\n      \"name\": \"Heather Lee\",\n      \"affiliation\": \"Garcia, Ellison and Kim\",\n      \"email\": \"kimberlysimpson@example.com\"\n    },\n    {\n      \"name\": \"Jeremy Gonzalez\",\n      \"affiliation\": \"Wilson, Sanchez and Copeland\",\n      \"email\": \"michelle83@example.com\"\n    },\n    {\n      \"name\": \"Brianna Hart\",\n      \"affiliation\": \"Shannon, Tran and Taylor\",\n      \"email\": \"penatyler@example.net\"\n    }\n  ],\n  \"abstract\": \"List son shake understand food. Up no police friend factor. Support company yes push argue.\",\n  \"keywords\": [\n    \"fact\",\n    \"guess\",\n    \"truth\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.7028/ttmb\"\n  },\n  \"citations\": 36,\n  \"funding_source\": \"Guerra, Richards and Schaefer\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.73738</paper_id>\n<title>Switchable maximized Local Area Network</title>\n<authors>\n<name>Heather Lee</name>\n<affiliation>Garcia, Ellison and Kim</affiliation>\n<email>kimberlysimpson@example.com</email>\n</authors>\n<authors>\n<name>Jeremy Gonzalez</name>\n<affiliation>Wilson, Sanchez and Copeland</affiliation>\n<email>michelle83@example.com</email>\n</authors>\n<authors>\n<name>Brianna Hart</name>\n<affiliation>Shannon, Tran and Taylor</affiliation>\n<email>penatyler@example.net</email>\n</authors>\n<abstract>List son shake understand food. Up no police friend factor. Support company yes push argue.</abstract>\n<keywords>fact</keywords>\n<keywords>guess</keywords>\n<keywords>truth</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.7028/ttmb</doi>\n</publication>\n<citations>36</citations>\n<funding_source>Guerra, Richards and Schaefer</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate financial report data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"company\": \"Hill-Marsh\",\n  \"ticker\": \"ZFVR\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 46703834,\n  \"expenses\": 77071880,\n  \"net_income\": 4141173,\n  \"eps\": 8.71,\n  \"metrics\": {\n    \"profit_margin\": 28.84,\n    \"roe\": 14.06\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-740077,RCT,32,869,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 10.89, \"\"endpoint\"\": 58.96, \"\"p_value\"\": 0.0511}, {\"\"metric\"\": \"\"effica\",Effect of white on evening\r\nsignificant,EXP-238297,observational,216,910,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 14.11, \"\"endpoint\"\": 68.89, \"\"p_value\"\": 0.2012}, {\"\"metric\"\": \"\"safety\"\",\",Effect of yard on civil\r\nsignificant,EXP-495752,cohort,259,834,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 71.91, \"\"endpoint\"\": 67.23, \"\"p_value\"\": 0.4482}, {\"\"metric\"\": \"\"efficacy\",Effect of him on service\r\nsignificant,EXP-505352,observational,343,809,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.1, \"\"endpoint\"\": 43.0, \"\"p_value\"\": 0.0599}, {\"\"metric\"\": \"\"efficacy\"\",\",Effect of often on cultural\r\nnon-significant,EXP-130235,observational,224,645,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.45, \"\"endpoint\"\": 61.83, \"\"p_value\"\": 0.1845}, {\"\"metric\"\": \"\"effica\",Effect of sign on exist\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"article_id\": \"ART-4067367\",\n  \"headline\": \"Polarized human-resource adapter\",\n  \"author\": \"Kristin Larson\",\n  \"published\": \"2026-01-07T00:05:34.405255\",\n  \"section\": \"Business\",\n  \"content\": \"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.\",\n  \"tags\": [\n    \"program\",\n    \"final\",\n    \"computer\",\n    \"live\"\n  ],\n  \"views\": 74807,\n  \"shares\": 3986\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id: ART-4067367\nheadline: Polarized human-resource adapter\nauthor: Kristin Larson\npublished: '2026-01-07T00:05:34.405255'\nsection: Business\ncontent: 'Ahead effort author use. Unit together series provide arrive country off.\n  Whether let thought down.\n\n  Eight audience power analysis. Age hope leader yeah without. Experience kitchen\n  heart city.'\ntags:\n- program\n- final\n- computer\n- live\nviews: 74807\nshares: 3986\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8706225</rx_id>\n<patient_mrn>MRN-970748</patient_mrn>\n<prescriber>Brady Keller</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-8706225\",\n  \"patient_mrn\": \"MRN-970748\",\n  \"prescriber\": \"Brady Keller\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9442688\npatient_mrn: MRN-277514\nprescriber: Timothy Goodman\ndate: '2026-01-04'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 30\n- name: Metformin\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\n- name: Lisinopril\n  dosage: 5mg\n  frequency: TID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"engagement\": {\n    \"likes\": 6676,\n    \"shares\": 196,\n    \"comments\": 84\n  },\n  \"username\": \"nicholasalvarez\",\n  \"post_id\": \"POST-61351209\",\n  \"hashtags\": [\n    \"#pretty\",\n    \"#admit\",\n    \"#available\"\n  ],\n  \"user_id\": \"5e546096-8461-4a3f-84e6-813e9e89a39c\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<engagement>\n<likes>6676</likes>\n<shares>196</shares>\n<comments>84</comments>\n</engagement>\n<username>nicholasalvarez</username>\n<post_id>POST-61351209</post_id>\n<hashtags>#pretty</hashtags>\n<hashtags>#admit</hashtags>\n<hashtags>#available</hashtags>\n<user_id>5e546096-8461-4a3f-84e6-813e9e89a39c</user_id>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-461250,Zachary Berry,RX-9036427\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-382426,Angela Dean,RX-5066446\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-797304,Adam Rhodes,RX-6899420\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-585952,Clinton Barber,RX-1654491\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-8293808\npatient:\n  mrn: MRN-980604\n  age: 24\n  gender: F\nencounter_date: '2026-01-05'\nchief_complaint: fever\nvitals:\n  bp: 150/98\n  hr: 93\n  temp_f: 102.4\nassessment:\n- problem: diabetes\n  icd10: J39\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CMP,MRN-977601,LAB-1056021,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 124.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 11\"\r\n2026-01-04,CBC,MRN-821208,LAB-5865155,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 192.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-05,CBC,MRN-673760,LAB-6708513,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 173.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 65.2\"\r\n2026-01-03,CMP,MRN-234922,LAB-5785591,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 106.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Tucker and Sons</company>\n<ticker>BPQE</ticker>\n<quarter>Q4 2024</quarter>\n<revenue>70279854</revenue>\n<expenses>61737533</expenses>\n<net_income>12235621</net_income>\n<eps>3.52</eps>\n<metrics>\n<profit_margin>24.27</profit_margin>\n<roe>16.15</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Martinez, Patterson and Hunter\",2.32,21448775,7.89,9.32,421192,Q1 2023,66694743,PPOB\r\n\"Daniels, Humphrey and Wilson\",6.72,67513369,11.83,15.06,6655281,Q4 2023,13528417,DUFZ\r\nMelendez Ltd,5.67,54117053,11.29,23.82,4872391,Q2 2020,35275291,RMWB\r\nRoss-Hester,8.68,62810583,15.96,19.18,9661146,Q3 2023,72500076,SFJX\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.87629\",\n  \"title\": \"Decentralized zero tolerance knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Jonathan Murphy\",\n      \"affiliation\": \"Long and Sons\",\n      \"email\": \"loconnell@example.org\"\n    },\n    {\n      \"name\": \"Patrick Skinner\",\n      \"affiliation\": \"Williams and Sons\",\n      \"email\": \"chentimothy@example.org\"\n    },\n    {\n      \"name\": \"Todd Smith\",\n      \"affiliation\": \"Lewis LLC\",\n      \"email\": \"nedwards@example.org\"\n    }\n  ],\n  \"abstract\": \"System many view vote. Into challenge wind result new good.\",\n  \"keywords\": [\n    \"modern\",\n    \"over\",\n    \"during\",\n    \"affect\",\n    \"sport\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.5354/mlMa\"\n  },\n  \"citations\": 187,\n  \"funding_source\": \"Fischer and Sons\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1795504</rx_id>\n<patient_mrn>MRN-355763</patient_mrn>\n<prescriber>Henry Padilla</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-4315709\npatient:\n  mrn: MRN-534874\n  age: 89\n  gender: M\nencounter_date: '2026-01-02'\nchief_complaint: chest pain\nvitals:\n  bp: 165/61\n  hr: 112\n  temp_f: 99.4\nassessment:\n- problem: diabetes\n  icd10: I12\n- problem: diabetes\n  icd10: K62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Sharable solution-oriented migration API\"\nversion = \"1.0.0\"\n\n[paths.\"/anything\".get]\nsummary = \"Those all evidence respond she listen.\"\n[[paths.\"/anything\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/anything\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/anything\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/anything\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>6503980</total_revenue>\n<units_sold>7670</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3279241</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1469640</revenue>\n<growth>16.07</growth>\n</channels>\n<top_products>\n<sku>SKU-8081</sku>\n<sales>71747</sales>\n</top_products>\n<top_products>\n<sku>SKU-8211</sku>\n<sales>475825</sales>\n</top_products>\n<top_products>\n<sku>SKU-4565</sku>\n<sales>485553</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1748125</article_id>\n<headline>Customizable leadingedge structure</headline>\n<author>Sandra Bennett</author>\n<published>2026-01-03T22:52:42.741679</published>\n<section>Sports</section>\n<content>Majority meeting sound have week public pass. Major food relate spend seven.\nIndeed run fund.\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.</content>\n<tags>subject</tags>\n<tags>attention</tags>\n<tags>class</tags>\n<tags>campaign</tags>\n<tags>second</tags>\n<views>63827</views>\n<shares>2505</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2281</course_id>\n<code>NHA456</code>\n<title>Profit-focused mission-critical hardware 101</title>\n<instructor>Natalie Middleton</instructor>\n<credits>3</credits>\n<term>Spring 2024</term>\n<schedule>\n<week>1</week>\n<topic>its</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>attorney</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>decision</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>every</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>direction</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>player</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>city</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>everybody</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-2281\",\n  \"code\": \"NHA456\",\n  \"title\": \"Profit-focused mission-critical hardware 101\",\n  \"instructor\": \"Natalie Middleton\",\n  \"credits\": 3,\n  \"term\": \"Spring 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"its\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"attorney\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"decision\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"every\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"direction\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"player\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"city\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"everybody\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-9801838\nheadline: Multi-lateral didactic encryption\nauthor: Jeffrey Gordon\npublished: '2026-01-04T05:36:27.140251'\nsection: Business\ncontent: 'Partner energy whose simply half because long. Pattern include thousand\n  care four against.\n\n  Scene center certainly letter already rate among. Do amount account court term same.\n\n  Step usually ground onto study myself.'\ntags:\n- word\n- public\n- near\nviews: 26731\nshares: 4423\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-4085\"\ncode = \"MUR206\"\ntitle = \"Intuitive composite secured line 101\"\ninstructor = \"Tyler Koch\"\ncredits = 3\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"amount\"\n\n[[schedule]]\nweek = 2\ntopic = \"actually\"\n\n[[schedule]]\nweek = 3\ntopic = \"light\"\n\n[[schedule]]\nweek = 4\ntopic = \"occur\"\n\n[[schedule]]\nweek = 5\ntopic = \"leave\"\n\n[[schedule]]\nweek = 6\ntopic = \"man\"\n\n[[schedule]]\nweek = 7\ntopic = \"magazine\"\n\n[[schedule]]\nweek = 8\ntopic = \"father\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output course syllabus as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4513</course_id>\n<code>NEE477</code>\n<title>Exclusive bottom-line artificial intelligence 101</title>\n<instructor>Jaime Roman</instructor>\n<credits>3</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>marriage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>wonder</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>system</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>order</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>very</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>laugh</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>sister</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>join</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>expect</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\ncourse_id: CRS-4765\ncode: VMZ479\ntitle: Exclusive grid-enabled software 101\ninstructor: Amy Baker\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: show\n- week: 2\n  topic: cut\n- week: 3\n  topic: next\n- week: 4\n  topic: everything\n- week: 5\n  topic: people\n- week: 6\n  topic: international\n- week: 7\n  topic: since\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-4765\",\n  \"code\": \"VMZ479\",\n  \"title\": \"Exclusive grid-enabled software 101\",\n  \"instructor\": \"Amy Baker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"show\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"cut\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"international\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"since\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Woods and Sons</company>\n<ticker>ZCNM</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>42196406</revenue>\n<expenses>48284794</expenses>\n<net_income>2937548</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>12.42</profit_margin>\n<roe>23.86</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Woods and Sons\",\n  \"ticker\": \"ZCNM\",\n  \"quarter\": \"Q1 2020\",\n  \"revenue\": 42196406,\n  \"expenses\": 48284794,\n  \"net_income\": 2937548,\n  \"eps\": 8.84,\n  \"metrics\": {\n    \"profit_margin\": 12.42,\n    \"roe\": 23.86\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I84\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J93\"\"}]\",fever,2026-01-04,CN-3041313,45,F,MRN-164256,153/76,98,102.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J61\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J73\"\"}, {\"\"problem\",fever,2026-01-04,CN-9118958,22,M,MRN-715481,152/110,104,101.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I40\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I81\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-1695362,88,F,MRN-680581,151/88,102,97.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I99\"\"}]\",headache,2026-01-03,CN-9479053,75,F,MRN-826265,131/90,71,100.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K57\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I93\"\"}]\",headache,2026-01-02,CN-5728651,81,M,MRN-273132,118/76,81,102.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nservice: findService\nstack_trace:\n- at watch.py:197\n- at body.py:298\n- at girl.py:392\n- at red.py:350\nlevel: ERROR\nmessage: Head then too threat drive.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4315709</note_id>\n<patient>\n<mrn>MRN-534874</mrn>\n<age>89</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>165/61</bp>\n<hr>112</hr>\n<temp_f>99.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I12</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K62</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4315709\",\n  \"patient\": {\n    \"mrn\": \"MRN-534874\",\n    \"age\": 89,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"165/61\",\n    \"hr\": 112,\n    \"temp_f\": 99.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I12\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K62\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nvalue: 911148\ncontract_id: CTR-919818\nparties:\n- name: Riggs, Carey and Rojas\n  role: party_a\n- name: Mcdowell-Koch\n  role: party_b\nstatus: active\nterm_months: 18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-2084107\"\npatient_mrn = \"MRN-607989\"\nprescriber = \"Jennifer Bradford\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-7937835\",\n  \"patient\": {\n    \"mrn\": \"MRN-749785\",\n    \"age\": 66,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"179/85\",\n    \"hr\": 81,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I52\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J76\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7937835</note_id>\n<patient>\n<mrn>MRN-749785</mrn>\n<age>66</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>179/85</bp>\n<hr>81</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I52</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J76</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-330074</experiment_id>\n<title>Effect of politics on stop</title>\n<methodology>\n<design>RCT</design>\n<sample_size>328</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.54</baseline>\n<endpoint>53.32</endpoint>\n<p_value>0.0487</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>10.4</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.1164</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>78.27</baseline>\n<endpoint>47.78</endpoint>\n<p_value>0.0781</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Leon-Lewis\",\n  \"ticker\": \"FGCI\",\n  \"quarter\": \"Q4 2022\",\n  \"revenue\": 56885685,\n  \"expenses\": 46362888,\n  \"net_income\": 14538939,\n  \"eps\": 7.9,\n  \"metrics\": {\n    \"profit_margin\": 25.04,\n    \"roe\": 5.27\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Leon-Lewis</company>\n<ticker>FGCI</ticker>\n<quarter>Q4 2022</quarter>\n<revenue>56885685</revenue>\n<expenses>46362888</expenses>\n<net_income>14538939</net_income>\n<eps>7.9</eps>\n<metrics>\n<profit_margin>25.04</profit_margin>\n<roe>5.27</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-986141\",\n  \"name\": \"Focused neutral encoding\",\n  \"category\": \"books\",\n  \"price\": 14.45,\n  \"currency\": \"USD\",\n  \"stock\": 826,\n  \"is_available\": true,\n  \"rating\": 4.59,\n  \"reviews\": 564,\n  \"specs\": {\n    \"weight_kg\": 27.7,\n    \"dimensions\": \"42x99x90cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-986141</product_id>\n<name>Focused neutral encoding</name>\n<category>books</category>\n<price>14.45</price>\n<currency>USD</currency>\n<stock>826</stock>\n<is_available>True</is_available>\n<rating>4.59</rating>\n<reviews>564</reviews>\n<specs>\n<weight_kg>27.7</weight_kg>\n<dimensions>42x99x90cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-239354</product_id>\n<name>User-centric tertiary contingency</name>\n<category>electronics</category>\n<price>998.51</price>\n<currency>USD</currency>\n<stock>842</stock>\n<is_available>True</is_available>\n<rating>2.36</rating>\n<reviews>630</reviews>\n<specs>\n<weight_kg>0.61</weight_kg>\n<dimensions>88x23x10cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-817642,,CRS-8326,,2026-01-03,A,,,,,56.31,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 9, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-222420,,,60,assignment\r\n,NRJ296,CRS-1861,3,,,40,30,30,Tamara Wright,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"throw\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"control\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"seven\"\"}, {\"\"we\",,,Fall 2022,Fully-configurable analyzing function 101,,\r\n,NPZ278,CRS-2574,4,,,40,30,30,Jasmine Riley,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"year\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"become\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"once\"\"}, {\"\"week\"\"\",,,Fall 2022,Ergonomic foreground productivity 101,,\r\n,DTG291,CRS-8612,3,,,40,30,30,Sarah Ross,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"training\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"perhaps\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"term\"\"}, {\"\"\",,,Fall 2023,Profound systemic parallelism 101,,\r\n,PAM117,CRS-3691,3,,,40,30,30,Christine Harris PhD,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"great\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"shoulder\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"pay\"\"}, {\"\"wee\",,,Fall 2023,Team-oriented context-sensitive focus group 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id: ASMT-817642\nstudent_id: STU-222420\ncourse_id: CRS-8326\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 9\n  points_possible: 10\n- question: 2\n  points_earned: 10\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 4\n  points_possible: 10\n- question: 7\n  points_earned: 10\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\ntotal_score: 60\npercentage: 56.31\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-28879814</txn_id>\n<customer_id>b13e97b5-e84b-41ec-9dea-05b4809cdd35</customer_id>\n<timestamp>2026-01-07T13:51:25.895711</timestamp>\n<items>\n<sku>SKU-36351</sku>\n<qty>1</qty>\n<price>310.41</price>\n</items>\n<items>\n<sku>SKU-26629</sku>\n<qty>2</qty>\n<price>119.44</price>\n</items>\n<items>\n<sku>SKU-75447</sku>\n<qty>3</qty>\n<price>127.79</price>\n</items>\n<items>\n<sku>SKU-81003</sku>\n<qty>3</qty>\n<price>336.59</price>\n</items>\n<subtotal>994.66</subtotal>\n<tax>143.59</tax>\n<total>1762.36</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinop\",MRN-259808,Joseph Griffin,RX-8539167\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-776198,Herbert Herman,RX-2228905\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-299069,Andrea Khan,RX-2333776\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-306159\"\nstudent_id = \"STU-646612\"\ncourse_id = \"CRS-3961\"\ntype = \"quiz\"\ndate = \"2026-01-05\"\ntotal_score = 58\npercentage = 63.02\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle = \"Polarized methodical algorithm\"\n[[authors]]\nname = \"Caroline Barnes\"\naffiliation = \"Parker Ltd\"\nemail = \"angelajackson@example.net\"\n\n[[authors]]\nname = \"Mario Boyd\"\naffiliation = \"Johnson, Barber and Higgins\"\nemail = \"lfuller@example.com\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Optional bottom-line complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</traditional>\n<get>\n<summary>Discussion then kind hair.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//traditional>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Optional bottom-line complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/traditional\": {\n      \"get\": {\n        \"summary\": \"Discussion then kind hair.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<service>approachService</service>\n<context>\n<user_id>fe05329e-c851-4258-9b5b-a5822613303b</user_id>\n<request_id>7878bb2d-6319-4d97-8924-bd0357b0788d</request_id>\n</context>\n<stack_trace>at level.py:451</stack_trace>\n<stack_trace>at science.py:176</stack_trace>\n<stack_trace>at art.py:498</stack_trace>\n<stack_trace>at success.py:287</stack_trace>\n<level>WARNING</level>\n<error_id>d3f1548e-3d70-475b-a25a-df504add1be1</error_id>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"service\": \"approachService\",\n  \"context\": {\n    \"user_id\": \"fe05329e-c851-4258-9b5b-a5822613303b\",\n    \"request_id\": \"7878bb2d-6319-4d97-8924-bd0357b0788d\"\n  },\n  \"stack_trace\": [\n    \"at level.py:451\",\n    \"at science.py:176\",\n    \"at art.py:498\",\n    \"at success.py:287\"\n  ],\n  \"level\": \"WARNING\",\n  \"error_id\": \"d3f1548e-3d70-475b-a25a-df504add1be1\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Horizontal interactive project API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/base\": {\n      \"get\": {\n        \"summary\": \"Management send father actually special image.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nLive ball say someone eat father. Court several nearly officer. Suddenly Mr particular future respon,465,788,527,\"[\"\"#instead\"\", \"\"#billion\"\", \"\"#audience\"\"]\",instagram,POST-20341487,2026-01-06T09:43:31.267572,a241db90-9328-4f49-b32b-f5263e09f15e,marybrewer\r\nNeed course example finally across court material. Wall determine let defense. Large about want publ,147,4244,890,\"[\"\"#young\"\", \"\"#matter\"\", \"\"#five\"\", \"\"#very\"\"]\",instagram,POST-39326669,2026-01-06T09:43:31.274288,e74fb0e4-3fe6-4d80-8208-77798bd5187c,wblanchard\r\nFeel my only itself star though. Than three president week citizen eat set itself. Today certainly m,408,2663,476,\"[\"\"#really\"\", \"\"#final\"\", \"\"#red\"\"]\",instagram,POST-94511084,2026-01-06T09:43:31.275088,8df224e1-3327-498f-b290-5edb8d49a8e6,moorealyssa\r\n\"Computer fast population. Small model understand close.\nFriend management nearly stand. Night realiz\",353,1206,189,\"[\"\"#message\"\", \"\"#direction\"\", \"\"#save\"\"]\",facebook,POST-82995669,2026-01-06T09:43:31.275745,7fbdbae4-48d2-49ff-b587-ad502e2956cf,marquezjeffery\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-5751204\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I93\"\n\n[patient]\nmrn = \"MRN-566004\"\nage = 47\ngender = \"M\"\n\n[vitals]\nbp = \"160/96\"\nhr = 75\ntemp_f = 102.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate financial report data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Hill-Marsh</company>\n<ticker>ZFVR</ticker>\n<quarter>Q3 2024</quarter>\n<revenue>46703834</revenue>\n<expenses>77071880</expenses>\n<net_income>4141173</net_income>\n<eps>8.71</eps>\n<metrics>\n<profit_margin>28.84</profit_margin>\n<roe>14.06</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate error log data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>424897c8-d97d-4bfb-9c1a-7b6e63fd6096</error_id>\n<timestamp>2026-01-07T13:51:27.529237</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>How these anyone stop indeed.</message>\n<stack_trace>at manage.py:289</stack_trace>\n<stack_trace>at thing.py:107</stack_trace>\n<stack_trace>at guy.py:172</stack_trace>\n<stack_trace>at seat.py:479</stack_trace>\n<context>\n<user_id>082cc3eb-3997-4d99-990c-f696ca4ee534</user_id>\n<request_id>0f3326d0-3afd-48c1-9c4d-32cc8b0c5920</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-8275\ncode: GFU377\ntitle: Quality-focused eco-centric contingency 101\ninstructor: Ann York\ncredits: 3\nterm: Spring 2024\nschedule:\n- week: 1\n  topic: would\n- week: 2\n  topic: important\n- week: 3\n  topic: support\n- week: 4\n  topic: level\n- week: 5\n  topic: low\n- week: 6\n  topic: degree\n- week: 7\n  topic: establish\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Sharable solution-oriented migration API\n  version: 1.0.0\npaths:\n  /anything:\n    get:\n      summary: Those all evidence respond she listen.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"post_id\": \"POST-23186111\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"85951ac5-a9b8-4154-8edc-693bcde245cf\",\n  \"username\": \"srodriguez\",\n  \"content\": \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\",\n  \"timestamp\": \"2026-01-07T13:51:25.750515\",\n  \"hashtags\": [\n    \"#community\",\n    \"#whatever\"\n  ],\n  \"engagement\": {\n    \"likes\": 4745,\n    \"shares\": 251,\n    \"comments\": 51\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-23186111\"\nplatform = \"twitter\"\nuser_id = \"85951ac5-a9b8-4154-8edc-693bcde245cf\"\nusername = \"srodriguez\"\ncontent = \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\"\ntimestamp = \"2026-01-07T13:51:25.750515\"\nhashtags = [ \"#community\", \"#whatever\",]\n\n[engagement]\nlikes = 4745\nshares = 251\ncomments = 51\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.10600\"\ntitle = \"Reactive bi-directional middleware\"\nabstract = \"Carry prove certain tell event break. Thus not actually teacher girl perhaps.\"\nkeywords = [ \"public\", \"stock\", \"student\", \"hair\", \"hard\",]\ncitations = 273\nfunding_source = \"Salazar, Mullen and Johnson\"\n[[authors]]\nname = \"Sarah Rose\"\naffiliation = \"Martin, Taylor and Mills\"\nemail = \"adrianporter@example.com\"\n\n[[authors]]\nname = \"Samantha Garcia\"\naffiliation = \"Santiago LLC\"\nemail = \"cbrewer@example.net\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2022\ndoi = \"10.6112/KodW\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Rodriguez, Curry and Yates\"\nticker = \"KWAZ\"\nquarter = \"Q1 2020\"\nrevenue = 4863925\nexpenses = 55129980\nnet_income = 12179320\neps = 7.94\n\n[metrics]\nprofit_margin = 29.26\nroe = 9.63\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 7500818,\n  \"units_sold\": 73950,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 528123,\n      \"growth\": 12.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1160273,\n      \"growth\": 23.93\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6153\",\n      \"sales\": 328911\n    },\n    {\n      \"sku\": \"SKU-4483\",\n      \"sales\": 21251\n    },\n    {\n      \"sku\": \"SKU-5114\",\n      \"sales\": 21486\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>7500818</total_revenue>\n<units_sold>73950</units_sold>\n<channels>\n<name>retail</name>\n<revenue>528123</revenue>\n<growth>12.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1160273</revenue>\n<growth>23.93</growth>\n</channels>\n<top_products>\n<sku>SKU-6153</sku>\n<sales>328911</sales>\n</top_products>\n<top_products>\n<sku>SKU-4483</sku>\n<sales>21251</sales>\n</top_products>\n<top_products>\n<sku>SKU-5114</sku>\n<sales>21486</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2022</period>\n<total_revenue>9138741</total_revenue>\n<units_sold>89798</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>1234153</revenue>\n<growth>40.64</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>991509</revenue>\n<growth>-4.15</growth>\n</channels>\n<top_products>\n<sku>SKU-9585</sku>\n<sales>30234</sales>\n</top_products>\n<top_products>\n<sku>SKU-8072</sku>\n<sales>57362</sales>\n</top_products>\n<top_products>\n<sku>SKU-4011</sku>\n<sales>249730</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-422317</assessment_id>\n<student_id>STU-280699</student_id>\n<course_id>CRS-7308</course_id>\n<type>exam</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>83.59</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-422317\",\n  \"student_id\": \"STU-280699\",\n  \"course_id\": \"CRS-7308\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 83.59,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-23430167</txn_id>\n<customer_id>7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064</customer_id>\n<timestamp>2026-01-07T13:51:26.046328</timestamp>\n<items>\n<sku>SKU-63492</sku>\n<qty>1</qty>\n<price>90.17</price>\n</items>\n<items>\n<sku>SKU-56350</sku>\n<qty>5</qty>\n<price>336.79</price>\n</items>\n<subtotal>152.9</subtotal>\n<tax>14.6</tax>\n<total>796.85</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-23430167\",\n  \"customer_id\": \"7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\",\n  \"timestamp\": \"2026-01-07T13:51:26.046328\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-63492\",\n      \"qty\": 1,\n      \"price\": 90.17\n    },\n    {\n      \"sku\": \"SKU-56350\",\n      \"qty\": 5,\n      \"price\": 336.79\n    }\n  ],\n  \"subtotal\": 152.9,\n  \"tax\": 14.6,\n  \"total\": 796.85,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2341842</note_id>\n<patient>\n<mrn>MRN-739833</mrn>\n<age>85</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-01</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>174/60</bp>\n<hr>60</hr>\n<temp_f>98.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I65</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J29</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-2341842\",\n  \"patient\": {\n    \"mrn\": \"MRN-739833\",\n    \"age\": 85,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-01\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"174/60\",\n    \"hr\": 60,\n    \"temp_f\": 98.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I65\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J29\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-6709459\",\n  \"patient\": {\n    \"mrn\": \"MRN-104418\",\n    \"age\": 50,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"143/96\",\n    \"hr\": 69,\n    \"temp_f\": 101.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J90\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I22\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K97\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6709459</note_id>\n<patient>\n<mrn>MRN-104418</mrn>\n<age>50</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>143/96</bp>\n<hr>69</hr>\n<temp_f>101.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J90</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I22</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K97</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-25055870\nplatform: twitter\nuser_id: 28837af0-4898-41b2-8a38-faf0e2d7f431\nusername: khahn\ncontent: 'Serve student science today general. Tell risk ball quickly technology.\n\n  Drive because generation support gun message majority. Though do old.'\ntimestamp: '2026-01-07T13:51:27.403909'\nhashtags:\n- '#conference'\n- '#body'\nengagement:\n  likes: 9394\n  shares: 444\n  comments: 203\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.57642</paper_id>\n<title>Organized clear-thinking projection</title>\n<authors>\n<name>Thomas Harrison</name>\n<affiliation>Benjamin, Peterson and James</affiliation>\n<email>martinjoseph@example.com</email>\n</authors>\n<authors>\n<name>Samantha Phillips</name>\n<affiliation>Carpenter Ltd</affiliation>\n<email>hawkinssarah@example.com</email>\n</authors>\n<abstract>Leg third those over. Almost state money hear condition little.\nManager minute writer manager. Walk hand situation similar media back fill huge.</abstract>\n<keywords>decade</keywords>\n<keywords>kitchen</keywords>\n<keywords>discover</keywords>\n<keywords>wide</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.5371/HWME</doi>\n</publication>\n<citations>306</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8172649,Rachel Clark,\"Pattern capital time compare include night top. Large than important morning.\nCard authority protect\",Triple-buffered responsive model,2026-01-03T00:35:22.551008,Business,392,\"[\"\"consider\"\", \"\"whatever\"\", \"\"part\"\", \"\"however\"\", \"\"special\"\"]\",49705\r\nART-1645366,Amanda Martinez,\"Crime establish ahead program speech child. Contain reveal ahead fire capital necessary.\nSuggest tow\",Enterprise-wide reciprocal application,2026-01-01T21:09:16.034149,Business,1537,\"[\"\"season\"\", \"\"site\"\", \"\"political\"\", \"\"loss\"\", \"\"chair\"\"]\",98841\r\nART-5999482,Dennis Allen,\"Not way heart decision. Product seven into here girl argue. Free effect central everything white.\nPo\",Monitored 24/7 budgetary management,2026-01-05T03:19:57.275932,Politics,784,\"[\"\"mouth\"\", \"\"maintain\"\", \"\"establish\"\"]\",86058\r\nART-4000273,Austin Jones,Consider probably show when grow opportunity. Lay find relationship realize give. Ten if reflect mil,Assimilated asymmetric implementation,2026-01-06T00:27:11.144144,Tech,109,\"[\"\"benefit\"\", \"\"song\"\", \"\"vote\"\", \"\"long\"\", \"\"commercial\"\"]\",10210\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id: ART-8172649\nheadline: Triple-buffered responsive model\nauthor: Rachel Clark\npublished: '2026-01-03T00:35:22.551008'\nsection: Business\ncontent: 'Pattern capital time compare include night top. Large than important morning.\n\n  Card authority protect present return while middle. Development miss write five.'\ntags:\n- consider\n- whatever\n- part\n- however\n- special\nviews: 49705\nshares: 392\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-852387\",\n  \"name\": \"Profound logistical array\",\n  \"category\": \"electronics\",\n  \"price\": 299.46,\n  \"currency\": \"USD\",\n  \"stock\": 505,\n  \"is_available\": true,\n  \"rating\": 2.95,\n  \"reviews\": 519,\n  \"specs\": {\n    \"weight_kg\": 6.22,\n    \"dimensions\": \"16x47x36cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-852387</product_id>\n<name>Profound logistical array</name>\n<category>electronics</category>\n<price>299.46</price>\n<currency>USD</currency>\n<stock>505</stock>\n<is_available>True</is_available>\n<rating>2.95</rating>\n<reviews>519</reviews>\n<specs>\n<weight_kg>6.22</weight_kg>\n<dimensions>16x47x36cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Business-focused zero administration encryption API\n  version: 1.0.0\npaths:\n  /teach:\n    get:\n      summary: Government trade direction personal reason hundred\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Robust demand-driven hub API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/finally\": {\n      \"get\": {\n        \"summary\": \"Describe experience pick treatment up remain withi\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nTMG245,CRS-6496,,,,,Maria Bowers,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"situation\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"firm\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"involve\"\"}, {\",,\r\nTFW250,CRS-4707,4,40,30,30,James Cox,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"song\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"goal\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"stock\"\"}, {\"\"week\"\":\",Fall 2020,Networked optimizing extranet 101\r\nBFK298,CRS-8927,3,40,30,30,Julia Perez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"between\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"we\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"here\"\"}, {\"\"week\"\":\",Spring 2021,Stand-alone static secured line 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKDS432,CRS-9456,3,40,30,30,Kenneth Rogers,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"activity\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"foot\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"reason\"\"}, {\"\"w\",Fall 2020,Multi-channeled local complexity 101\r\nVJV420,CRS-3760,3,40,30,30,Kathleen Erickson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"that\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"home\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"quality\"\"}, {\"\"week\",Fall 2022,Customer-focused mission-critical benchmark 101\r\nWIT384,CRS-1909,3,40,30,30,Holly Jones,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"field\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"suffer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"church\"\"}, {\"\"we\",Spring 2020,User-centric encompassing attitude 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-475777\"\nstudent_id = \"STU-613124\"\ncourse_id = \"CRS-2241\"\ntype = \"assignment\"\ndate = \"2026-01-06\"\ntotal_score = 75\npercentage = 81.54\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-8305,4,,,,Rachel Moreno DVM,,Spring 2023,Open-architected even-keeled support 101\r\nCNK133,CRS-5922,3,40,30,30,Tammy Scott,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"team\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"much\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"executive\"\"}, {\"\"we\",Fall 2022,Diverse homogeneous access 101\r\nTDW280,CRS-9943,4,40,30,30,Christine Hamilton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"matter\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"black\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"your\"\"}, {\"\"week\",Fall 2021,Decentralized interactive project 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nESH384,CRS-9141,4,40,30,30,Matthew Boyd,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"western\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"since\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"later\"\"}, {\"\"we\",Fall 2022,Inverse real-time hardware 101\r\nABR241,CRS-6536,3,40,30,30,Chelsea Walker,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"foot\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"consider\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"soldier\"\"}, {\"\"\",Spring 2023,Synergistic 3rdgeneration emulation 101\r\nHQA149,CRS-7003,3,40,30,30,Jessica Thompson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"order\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"paper\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"color\"\"}, {\"\"week\",Fall 2023,Right-sized human-resource process improvement 101\r\nXGJ369,CRS-6339,4,40,30,30,Katie Maynard,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"where\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"far\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"since\"\"}, {\"\"week\"\":\",Fall 2021,Optional upward-trending analyzer 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Seamless disintermediate flexibility API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</significant>\n<get>\n<summary>Box project skin day catch.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//significant>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Seamless disintermediate flexibility API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/significant\": {\n      \"get\": {\n        \"summary\": \"Box project skin day catch.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 534039,\n  \"units_sold\": 34851,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 707158,\n      \"growth\": 43.16\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2548868,\n      \"growth\": 26.24\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6020\",\n      \"sales\": 18280\n    },\n    {\n      \"sku\": \"SKU-3349\",\n      \"sales\": 458703\n    },\n    {\n      \"sku\": \"SKU-8781\",\n      \"sales\": 265385\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>534039</total_revenue>\n<units_sold>34851</units_sold>\n<channels>\n<name>retail</name>\n<revenue>707158</revenue>\n<growth>43.16</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2548868</revenue>\n<growth>26.24</growth>\n</channels>\n<top_products>\n<sku>SKU-6020</sku>\n<sales>18280</sales>\n</top_products>\n<top_products>\n<sku>SKU-3349</sku>\n<sales>458703</sales>\n</top_products>\n<top_products>\n<sku>SKU-8781</sku>\n<sales>265385</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-319304\nname: Self-enabling clear-thinking help-desk\ncategory: clothing\nprice: 510.64\ncurrency: USD\nstock: 595\nis_available: true\nrating: 2.22\nreviews: 791\nspecs:\n  weight_kg: 30.42\n  dimensions: 12x58x39cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>2d978d26-6fd7-4641-b202-43ebc0760711</error_id>\n<timestamp>2026-01-07T13:51:26.663970</timestamp>\n<level>WARNING</level>\n<service>someoneService</service>\n<message>Inside live none value unit Republican black.</message>\n<stack_trace>at role.py:276</stack_trace>\n<stack_trace>at loss.py:371</stack_trace>\n<context>\n<user_id>26f1b94c-c76e-47ab-9121-a3f8ec11053f</user_id>\n<request_id>ce096dca-f53f-40bf-822d-ed29d8ca8dd9</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"2d978d26-6fd7-4641-b202-43ebc0760711\",\n  \"timestamp\": \"2026-01-07T13:51:26.663970\",\n  \"level\": \"WARNING\",\n  \"service\": \"someoneService\",\n  \"message\": \"Inside live none value unit Republican black.\",\n  \"stack_trace\": [\n    \"at role.py:276\",\n    \"at loss.py:371\"\n  ],\n  \"context\": {\n    \"user_id\": \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\",\n    \"request_id\": \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-64636774\nplatform: instagram\nuser_id: 180a1898-015f-483f-94a7-e771a6fb148e\nusername: melissa16\ncontent: Use Mr only week. Crime form attention. Right world stand surface rate three.\ntimestamp: '2026-01-07T13:51:26.942814'\nhashtags:\n- '#economic'\n- '#speak'\nengagement:\n  likes: 9998\n  shares: 653\n  comments: 4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,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\nelectronics,USD,True,Polarized client-driven intranet,482.97,PROD-333387,4.1,92,35x46x27cm,43.9,448\r\nclothing,USD,True,Configurable real-time Internet solution,138.26,PROD-384054,4.36,62,38x32x46cm,15.33,689\r\nclothing,USD,True,Organic intangible portal,351.33,PROD-202919,4.16,182,95x16x90cm,15.26,818\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-7514</course_id>\n<code>NOO384</code>\n<title>Fundamental encompassing database 101</title>\n<instructor>Lori Martinez</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>bar</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>population</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>thus</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>purpose</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>look</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>remember</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>ahead</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>pass</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-7514\",\n  \"code\": \"NOO384\",\n  \"title\": \"Fundamental encompassing database 101\",\n  \"instructor\": \"Lori Martinez\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"bar\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"population\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"thus\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"purpose\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"look\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"remember\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"ahead\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"pass\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-6846954\nheadline: Triple-buffered intangible knowledgebase\nauthor: Steven Burgess\npublished: '2026-01-02T13:52:55.283034'\nsection: Politics\ncontent: 'Police report arm sense find civil during. New avoid old future quality\n  finally bad. Meeting child effect go play issue.\n\n  Thousand security article two color early. Avoid commercial science. Low method\n  cultural personal night often.'\ntags:\n- couple\n- specific\n- him\nviews: 35509\nshares: 3662\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-5383313\npatient_mrn: MRN-584871\norder_date: '2026-01-06'\npanel: CMP\nresults:\n- test: Glucose\n  value: 194.0\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 67.1\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 195.1\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 146.6\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 119.8\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,95ca942a-a33a-413f-b1a1-a21e12fa0f30,70c0c786-0e43-42b2-8ec7-e975f39a71f7,042db0a1-c9b1-49a9-9d69-5247a8c47159,,,ERROR,Each reality trip red enough tough common.,,,,,whomService,\"[\"\"at note.py:398\"\", \"\"at purpose.py:452\"\", \"\"at onto.py:106\"\", \"\"at member.py:439\"\"]\",2026-01-07T13:51:27.377057,\r\nAnswer single enter teach. Society discuss sure trade reality model.,\"[{\"\"name\"\": \"\"Raymond Clark\"\", \"\"affiliation\"\": \"\"Wade-Arroyo\"\", \"\"email\"\": \"\"stephenshaw@example.com\"\"}, {\"\"name\",80,,,,Braun Inc,\"[\"\"third\"\", \"\"sure\"\", \"\"southern\"\"]\",,,arXiv:2024.52562,10.5164/sLlJ,Nature,2020,,,,Quality-focused exuding array\r\nCommon space inside skin including subject talk. Measure available civil strategy. Just center treat,\"[{\"\"name\"\": \"\"Michele Martinez\"\", \"\"affiliation\"\": \"\"Escobar, Yu and Mitchell\"\", \"\"email\"\": \"\"imiller@example.n\",310,,,,\"Andrade, Brown and Stokes\",\"[\"\"condition\"\", \"\"example\"\", \"\"indeed\"\", \"\"something\"\", \"\"art\"\"]\",,,arXiv:2021.10424,10.7741/siSM,Cell,2021,,,,Reduced web-enabled frame\r\nKnowledge common no develop three.,\"[{\"\"name\"\": \"\"Cynthia Chavez\"\", \"\"affiliation\"\": \"\"Harris, Gonzalez and Gross\"\", \"\"email\"\": \"\"sscott@example.co\",161,,,,None,\"[\"\"house\"\", \"\"agent\"\", \"\"opportunity\"\"]\",,,arXiv:2023.96088,10.3448/HlrR,Science,2024,,,,Optimized attitude-oriented conglomeration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output contract as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nStand season mind indicate either. Buy gas keep skin.,\"[{\"\"name\"\": \"\"Edwin Moore\"\", \"\"affiliation\"\": \"\"Smith-Jones\"\", \"\"email\"\": \"\"bowenzachary@example.net\"\"}, {\"\"name\"\"\",204,None,\"[\"\"stock\"\", \"\"member\"\", \"\"laugh\"\", \"\"language\"\", \"\"right\"\"]\",arXiv:2020.57295,10.9461/HDZk,Cell,2022,Persevering global groupware\r\n\"Campaign reduce best study pay. Away anything benefit old seven.\nThat natural throughout performance\",\"[{\"\"name\"\": \"\"Carolyn Riggs\"\", \"\"affiliation\"\": \"\"Hurley and Sons\"\", \"\"email\"\": \"\"bethany75@example.com\"\"}, {\"\"na\",331,None,\"[\"\"way\"\", \"\"growth\"\", \"\"opportunity\"\", \"\"among\"\", \"\"safe\"\"]\",arXiv:2020.38799,10.5163/rwTY,Cell,2022,Upgradable modular frame\r\n\"Affect usually certain second. Worker pressure free staff life.\nTrue movie southern tough sit one. P\",\"[{\"\"name\"\": \"\"Karen Ortiz\"\", \"\"affiliation\"\": \"\"Wheeler-Vasquez\"\", \"\"email\"\": \"\"richardward@example.org\"\"}, {\"\"na\",407,Bennett and Sons,\"[\"\"strong\"\", \"\"whom\"\", \"\"condition\"\"]\",arXiv:2022.38316,10.8643/oaXz,Science,2020,Total 24/7 approach\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.3653/hXNF</doi>\n</publication>\n<funding_source>Kramer Ltd</funding_source>\n<title>Configurable bandwidth-monitored strategy</title>\n<authors>\n<name>James Brown</name>\n<affiliation>Ward-Davidson</affiliation>\n<email>wilsonkristin@example.org</email>\n</authors>\n<authors>\n<name>Luke Liu</name>\n<affiliation>Obrien-Huynh</affiliation>\n<email>jason08@example.org</email>\n</authors>\n<authors>\n<name>Paula Gonzalez</name>\n<affiliation>Jones-Howell</affiliation>\n<email>brent41@example.org</email>\n</authors>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nreview_id = \"REV-9529513\"\nproduct_id = \"PROD-542599\"\nuser_id = \"67bb80c4-7c72-4c1b-886f-8186f18f45e3\"\nrating = 3\ntitle = \"Money face statement talk day.\"\ncontent = \"Candidate stuff mission end nature hundred. Recently game stage agreement. Seem central blood add environment several.\\nSet less job reveal protect. Similar second staff owner international major.\"\ndate = \"2026-01-01\"\nverified_purchase = true\nhelpful_votes = 8\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-9529513\nproduct_id: PROD-542599\nuser_id: 67bb80c4-7c72-4c1b-886f-8186f18f45e3\nrating: 3\ntitle: Money face statement talk day.\ncontent: 'Candidate stuff mission end nature hundred. Recently game stage agreement.\n  Seem central blood add environment several.\n\n  Set less job reveal protect. Similar second staff owner international major.'\ndate: '2026-01-01'\nverified_purchase: true\nhelpful_votes: 8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"table\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"team\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"miss\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"face\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sort\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"effect\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"still\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"training\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"different\"\n    }\n  ],\n  \"code\": \"GHC481\",\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"term\": \"Spring 2020\",\n  \"credits\": 4\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output social media post as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-58559815\"\nplatform = \"instagram\"\nuser_id = \"0fae79ab-dabb-47f5-823b-f22743181c7c\"\nusername = \"ortizkristina\"\ncontent = \"Speech can sea play. Season near story animal remain.\\nOff present vote wall. Society know family build. Certain thing live rise.\"\ntimestamp = \"2026-01-07T13:51:26.463560\"\nhashtags = [ \"#once\", \"#it\", \"#rich\", \"#keep\",]\n\n[engagement]\nlikes = 248\nshares = 32\ncomments = 161\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn = \"MRN-135092\"\norder_date = \"2026-01-02\"\npanel = \"CBC\"\nresult_id = \"LAB-9224780\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 129.6\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 120.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 141.8\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 131.3\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 147.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"info\": {\n    \"title\": \"Multi-tiered directional knowledge user API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/require\": {\n      \"get\": {\n        \"summary\": \"Suffer kid pull bed decision rest.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1417017</review_id>\n<product_id>PROD-561113</product_id>\n<user_id>58368812-841f-4b65-a63f-bf59f81a4b62</user_id>\n<rating>2</rating>\n<title>Miss entire student source like impact.</title>\n<content>Particularly myself court bring vote business boy lawyer. Economy name wonder thank a charge. Successful value site thus. Exist election about task reason.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>17</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4911961\npatient_mrn: MRN-250544\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n  value: 121.1\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 77.4\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 107.3\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 172.8\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 166.2\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 140.6\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 120.4\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8415476\"\npatient_mrn = \"MRN-954731\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 72.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 152.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 87.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 189.0\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1417680, \"\"growth\"\": 41.94}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3176166, \",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-9002\"\", \"\"sales\"\": 412560}, {\"\"sku\"\": \"\"SKU-3918\"\", \"\"sales\"\": 426996}, {\"\"sku\"\": \"\"SKU-1618\"\", \"\"sa\",8223229,11543\r\n\"Discuss by analysis article.\nAs if wish. Cold answer adult forward radio Mrs impact. Leader next wit\",\"[{\"\"name\"\": \"\"Lisa Miller\"\", \"\"affiliation\"\": \"\"Hale, Chambers and Ramirez\"\", \"\"email\"\": \"\"mathewjohnson@exampl\",,200,None,\"[\"\"whose\"\", \"\"us\"\", \"\"reflect\"\", \"\"pay\"\"]\",arXiv:2020.48127,,10.5218/sptw,Cell,2024,Function-based systematic adapter,,,\r\nAgain specific nothing provide career standard after. Dark as bring pretty state tax leave.,\"[{\"\"name\"\": \"\"Jonathan Mcintyre\"\", \"\"affiliation\"\": \"\"Barton, Nichols and Salas\"\", \"\"email\"\": \"\"candace89@examp\",,12,None,\"[\"\"subject\"\", \"\"drug\"\", \"\"lead\"\", \"\"wonder\"\", \"\"American\"\"]\",arXiv:2024.64974,,10.5311/rEMu,Science,2020,Realigned upward-trending open system,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nunits_sold: 11543\nperiod: June 2021\nchannels:\n- name: online\n  revenue: 1417680\n  growth: 41.94\n- name: wholesale\n  revenue: 3176166\n  growth: 26.78\ntotal_revenue: 8223229\ntop_products:\n- sku: SKU-9002\n  sales: 412560\n- sku: SKU-3918\n  sales: 426996\n- sku: SKU-1618\n  sales: 496165\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-1795504\npatient_mrn: MRN-355763\nprescriber: Henry Padilla\ndate: '2026-01-01'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-4493327\npatient:\n  mrn: MRN-934301\n  age: 62\n  gender: F\nencounter_date: '2026-01-06'\nchief_complaint: fever\nvitals:\n  bp: 141/91\n  hr: 100\n  temp_f: 98.5\nassessment:\n- problem: diabetes\n  icd10: I32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,engagement_comments,engagement_likes,engagement_shares,funding_source,hashtags,keywords,paper_id,publication_doi,publication_venue,publication_year,timestamp,title,username\r\n,,,61,6775,456,,\"[\"\"#region\"\", \"\"#travel\"\"]\",,,,,,2026-01-06T09:43:30.642641,,floydkimberly\r\nLeg meeting certainly home movement drive street. Nice subject keep give. Firm run wall teach former,\"[{\"\"name\"\": \"\"Joshua Davies\"\", \"\"affiliation\"\": \"\"Frank-Bentley\"\", \"\"email\"\": \"\"danajohnson@example.net\"\"}, {\"\"na\",229,,,,None,,\"[\"\"back\"\", \"\"place\"\", \"\"adult\"\", \"\"mind\"\", \"\"class\"\"]\",arXiv:2021.84327,10.2141/ToKB,Cell,2024,,Networked even-keeled collaboration,\r\nElection along art drop between although accept. Democrat heart meeting second account attack role s,\"[{\"\"name\"\": \"\"Ronald Lee\"\", \"\"affiliation\"\": \"\"Perez-Skinner\"\", \"\"email\"\": \"\"dwhitaker@example.org\"\"}, {\"\"name\"\": \",459,,,,None,,\"[\"\"after\"\", \"\"happy\"\", \"\"general\"\", \"\"case\"\", \"\"probably\"\"]\",arXiv:2022.29882,10.6580/krHA,Cell,2022,,Centralized bandwidth-monitored interface,\r\n\"Gun bag expect I new the message those. Read task perform identify sing.\nThus wind individual or.\",\"[{\"\"name\"\": \"\"Suzanne Nielsen\"\", \"\"affiliation\"\": \"\"Farrell, Oconnor and Whitaker\"\", \"\"email\"\": \"\"linda04@examp\",277,,,,None,,\"[\"\"court\"\", \"\"bill\"\", \"\"finish\"\"]\",arXiv:2023.46609,10.6886/UsQR,Nature,2020,,Monitored attitude-oriented definition,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-30876983</txn_id>\n<customer_id>b5aca191-66fe-49e0-85ce-2d363d5ef454</customer_id>\n<timestamp>2026-01-07T13:51:26.163076</timestamp>\n<items>\n<sku>SKU-56664</sku>\n<qty>2</qty>\n<price>285.83</price>\n</items>\n<items>\n<sku>SKU-25305</sku>\n<qty>1</qty>\n<price>45.15</price>\n</items>\n<items>\n<sku>SKU-78820</sku>\n<qty>4</qty>\n<price>47.49</price>\n</items>\n<subtotal>199.93</subtotal>\n<tax>118.13</tax>\n<total>913.78</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-30876983\",\n  \"customer_id\": \"b5aca191-66fe-49e0-85ce-2d363d5ef454\",\n  \"timestamp\": \"2026-01-07T13:51:26.163076\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-56664\",\n      \"qty\": 2,\n      \"price\": 285.83\n    },\n    {\n      \"sku\": \"SKU-25305\",\n      \"qty\": 1,\n      \"price\": 45.15\n    },\n    {\n      \"sku\": \"SKU-78820\",\n      \"qty\": 4,\n      \"price\": 47.49\n    }\n  ],\n  \"subtotal\": 199.93,\n  \"tax\": 118.13,\n  \"total\": 913.78,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-50783918\"\ncustomer_id = \"7ef8b7c0-96f5-425b-a34a-21b7e1f5f553\"\ntimestamp = \"2026-01-06T09:43:31.932704\"\nsubtotal = 887.28\ntax = 42.29\ntotal = 731.95\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-10520\"\nqty = 2\nprice = 262.34\n\n[[items]]\nsku = \"SKU-69100\"\nqty = 4\nprice = 135.83\n\n[[items]]\nsku = \"SKU-37913\"\nqty = 4\nprice = 412.88\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.49729</paper_id>\n<title>Optimized fault-tolerant monitoring</title>\n<authors>\n<name>Ashley Hubbard</name>\n<affiliation>Mcdonald-White</affiliation>\n<email>jenniferlong@example.net</email>\n</authors>\n<authors>\n<name>Erica Marshall</name>\n<affiliation>Calderon-Dalton</affiliation>\n<email>adouglas@example.org</email>\n</authors>\n<authors>\n<name>Mercedes Campbell</name>\n<affiliation>Davis-Lynch</affiliation>\n<email>yharris@example.org</email>\n</authors>\n<abstract>Relate make read game soldier new. Agree south attorney one century drive draw.\nReduce head tax certainly offer deal. Sister station adult seat wear.</abstract>\n<keywords>gas</keywords>\n<keywords>understand</keywords>\n<keywords>everything</keywords>\n<keywords>miss</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.3465/hMKF</doi>\n</publication>\n<citations>65</citations>\n<funding_source>Parsons Inc</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Moore-Thompson\"\nticker = \"XFVE\"\nquarter = \"Q2 2022\"\nrevenue = 73324772\nexpenses = 43130054\nnet_income = 18329728\neps = 9.88\n\n[metrics]\nprofit_margin = 22.03\nroe = 10.54\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-702805,2026-01-03,,executed,60,39022\r\nCTR-786795,2026-01-04,\"[{\"\"name\"\": \"\"Owen, Drake and Wright\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Baker, Gentry and Rodriguez\"\", \"\"rol\",pending,20,112070\r\nCTR-710768,2026-01-05,\"[{\"\"name\"\": \"\"Smith and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carr, Vazquez and Tran\"\", \"\"role\"\": \"\"party_b\"\"\",active,37,221145\r\nCTR-198929,2026-01-04,\"[{\"\"name\"\": \"\"Lucas Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Clayton-Huynh\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,15,732232\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-9701957\nproduct_id: PROD-683988\nuser_id: 4d7f9754-e296-4a29-967f-5c8de166a17c\nrating: 5\ntitle: Teach look history according want manager perform.\ncontent: Admit large politics decide might Mr their. Hundred play I deal but player\n  leader old. Then similar drug coach.\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 36\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-274282\"\neffective_date = \"2026-01-01\"\nterm_months = 28\nvalue = 285721\nstatus = \"active\"\n[[parties]]\nname = \"Schroeder LLC\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Kemp-Jones\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-277514,Timothy Goodman,RX-9442688\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvasta\",MRN-666429,Sarah Rivera,RX-4605582\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopri\",MRN-199282,Barbara Rosales,RX-4998864\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-643231,Denise Mullen,RX-4860420\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9442688\",\n  \"patient_mrn\": \"MRN-277514\",\n  \"prescriber\": \"Timothy Goodman\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-695608,Stephen Davis,RX-9001624\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-625378,Brian Wilson,RX-6170949\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-504595,Brandon Baxter,RX-3308638\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-515082,Peggy Collins,RX-8253884\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-774792,Todd Erickson,RX-8837484\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"txn_id\": \"TXN-59995807\",\n  \"customer_id\": \"0d66cadd-c42f-4e9b-ae40-46d71f47623d\",\n  \"timestamp\": \"2026-01-07T13:51:27.084892\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-83766\",\n      \"qty\": 4,\n      \"price\": 55.35\n    },\n    {\n      \"sku\": \"SKU-77209\",\n      \"qty\": 2,\n      \"price\": 217.97\n    },\n    {\n      \"sku\": \"SKU-11210\",\n      \"qty\": 5,\n      \"price\": 436.04\n    }\n  ],\n  \"subtotal\": 1600.85,\n  \"tax\": 34.84,\n  \"total\": 602.79,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-59995807</txn_id>\n<customer_id>0d66cadd-c42f-4e9b-ae40-46d71f47623d</customer_id>\n<timestamp>2026-01-07T13:51:27.084892</timestamp>\n<items>\n<sku>SKU-83766</sku>\n<qty>4</qty>\n<price>55.35</price>\n</items>\n<items>\n<sku>SKU-77209</sku>\n<qty>2</qty>\n<price>217.97</price>\n</items>\n<items>\n<sku>SKU-11210</sku>\n<qty>5</qty>\n<price>436.04</price>\n</items>\n<subtotal>1600.85</subtotal>\n<tax>34.84</tax>\n<total>602.79</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output experiment result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-734376\",\n  \"title\": \"Effect of probably on skin\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 800,\n    \"duration_days\": 273\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.92,\n      \"endpoint\": 99.12,\n      \"p_value\": 0.3163\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.8,\n      \"endpoint\": 81.58,\n      \"p_value\": 0.1627\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 31.59,\n      \"endpoint\": 36.02,\n      \"p_value\": 0.4619\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.54,\n      \"endpoint\": 59.85,\n      \"p_value\": 0.3654\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nFQI391,CRS-8609,,,,,Angela Beasley,,,\r\nJVO196,CRS-7026,4,40,30,30,Ryan Campbell,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"reduce\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wear\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"base\"\"}, {\"\"week\"\"\",Fall 2021,Triple-buffered motivating adapter 101\r\nDEU391,CRS-3351,4,40,30,30,Nicole Lewis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"cost\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"form\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"suffer\"\"}, {\"\"week\"\"\",Fall 2023,Profit-focused real-time flexibility 101\r\nMXH166,CRS-8681,3,40,30,30,Paul Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"point\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"four\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"mother\"\"}, {\"\"week\",Spring 2024,Profound optimal productivity 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-7237025\",\n  \"patient\": {\n    \"mrn\": \"MRN-276187\",\n    \"age\": 53,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"95/82\",\n    \"hr\": 103,\n    \"temp_f\": 102.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7237025</note_id>\n<patient>\n<mrn>MRN-276187</mrn>\n<age>53</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>95/82</bp>\n<hr>103</hr>\n<temp_f>102.9</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-54622203</post_id>\n<platform>instagram</platform>\n<user_id>1456e108-0a50-4482-8f1a-b1cb2398a121</user_id>\n<username>fullersteven</username>\n<content>Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\nAny fine power truth. Big like investment simple whatever education.</content>\n<timestamp>2026-01-07T13:51:25.504049</timestamp>\n<hashtags>#deep</hashtags>\n<hashtags>#yes</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#including</hashtags>\n<engagement>\n<likes>464</likes>\n<shares>699</shares>\n<comments>294</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-7250124\nproduct_id: PROD-375265\nuser_id: 48302d32-0445-4405-afc6-604ef6300782\nrating: 1\ntitle: Very responsibility coach economy sea public you.\ncontent: 'Chair painting shake city kind good though. Find reality water support key.\n\n  Fly party couple production fight. Live attention anyone her traditional. I room\n  blood condition research fund model.'\ndate: '2026-01-03'\nverified_purchase: true\nhelpful_votes: 78\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Robust demand-driven hub API\n  version: 1.0.0\npaths:\n  /finally:\n    get:\n      summary: Describe experience pick treatment up remain withi\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-857926\"\ntitle = \"Effect of thus on growth\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 79.07\nendpoint = 56.83\np_value = 0.2813\n\n[[results]]\nmetric = \"safety\"\nbaseline = 50.92\nendpoint = 49.75\np_value = 0.2978\n\n[[results]]\nmetric = \"safety\"\nbaseline = 85.96\nendpoint = 69.75\np_value = 0.182\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 51.68\nendpoint = 69.09\np_value = 0.1312\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 586\nduration_days = 359\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<title>Exactly almost full new record save.</title>\n<date>2026-01-02</date>\n<product_id>PROD-922306</product_id>\n<content>Arrive much low will teach. By possible nature learn could. Act hot whole guy experience.\nIdentify world fight stock. Force fear soon. Author night think.</content>\n</customer_review>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntitle: Exactly almost full new record save.\ndate: '2026-01-02'\nproduct_id: PROD-922306\ncontent: 'Arrive much low will teach. By possible nature learn could. Act hot whole\n  guy experience.\n\n  Identify world fight stock. Force fear soon. Author night think.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output student assessment as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-879460</assessment_id>\n<student_id>STU-948921</student_id>\n<course_id>CRS-8763</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>83</total_score>\n<percentage>96.07</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"April 2020\",\n  \"total_revenue\": 1914989,\n  \"units_sold\": 47758,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3617590,\n      \"growth\": 20.48\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 654207,\n      \"growth\": 24.4\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4328\",\n      \"sales\": 466200\n    },\n    {\n      \"sku\": \"SKU-2589\",\n      \"sales\": 244105\n    },\n    {\n      \"sku\": \"SKU-7725\",\n      \"sales\": 25778\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>April 2020</period>\n<total_revenue>1914989</total_revenue>\n<units_sold>47758</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3617590</revenue>\n<growth>20.48</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>654207</revenue>\n<growth>24.4</growth>\n</channels>\n<top_products>\n<sku>SKU-4328</sku>\n<sales>466200</sales>\n</top_products>\n<top_products>\n<sku>SKU-2589</sku>\n<sales>244105</sales>\n</top_products>\n<top_products>\n<sku>SKU-7725</sku>\n<sales>25778</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-449984\nparties:\n- name: Garcia-Henson\n  role: party_a\n- name: Moore LLC\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 49\nvalue: 694475\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-9368\",\n  \"percentage\": 68.59,\n  \"assessment_id\": \"ASMT-453812\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-3941350\",\n  \"patient_mrn\": \"MRN-739958\",\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 134.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 188.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 117.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 159.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.22882\"\ntitle = \"Advanced homogeneous structure\"\nabstract = \"Call finally talk find piece decide. Throw thousand number country.\\nReport kid agency Democrat hope. Also store away us.\"\nkeywords = [ \"man\", \"phone\", \"usually\", \"nor\",]\ncitations = 212\n[[authors]]\nname = \"James Moreno\"\naffiliation = \"Gomez PLC\"\nemail = \"cooksara@example.com\"\n\n[[authors]]\nname = \"Patricia Martinez\"\naffiliation = \"Keller-Riley\"\nemail = \"piercebryan@example.org\"\n\n[[authors]]\nname = \"Karen Lopez\"\naffiliation = \"Fuller and Sons\"\nemail = \"april91@example.com\"\n\n[publication]\nvenue = \"Science\"\nyear = 2023\ndoi = \"10.5122/MdFU\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3281345</article_id>\n<headline>Streamlined object-oriented toolset</headline>\n<author>James Dunn</author>\n<published>2026-01-03T08:23:33.060508</published>\n<section>Politics</section>\n<content>Win take among professor. Glass reflect black similar future. Risk than tree.\nEconomic sit plan. Available then already skill up reason back. Course his threat growth physical parent truth.\nLaugh article pull goal. Believe those few.</content>\n<tags>hit</tags>\n<tags>summer</tags>\n<tags>official</tags>\n<tags>rather</tags>\n<views>75669</views>\n<shares>293</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from TOML to CSV:\ncompany = \"Moore-Thompson\"\nticker = \"XFVE\"\nquarter = \"Q2 2022\"\nrevenue = 73324772\nexpenses = 43130054\nnet_income = 18329728\neps = 9.88\n\n[metrics]\nprofit_margin = 22.03\nroe = 10.54\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nMoore-Thompson,9.88,43130054,22.03,10.54,18329728,Q2 2022,73324772,XFVE\r\nDuran-Davis,2.51,10780399,25.22,20.67,375029,Q1 2023,55668459,CTUP\r\n\"Boyd, Jones and Gutierrez\",1.84,11683095,14.85,5.3,5669472,Q2 2021,44633831,YDXA\r\nFleming Inc,6.17,26340930,19.31,21.04,15077203,Q2 2022,34770056,HPPD\r\nPetersen-Hart,1.14,49442536,10.53,12.85,13772526,Q2 2022,57819296,EEVB\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-896633</contract_id>\n<parties>\n<name>Smith-Cross</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Carrillo and Sons</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>21</term_months>\n<value>926875</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Distributed high-level website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</next>\n<get>\n<summary>Movie my movie common adult.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//next>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Martinez, Patterson and Hunter\"\nticker = \"PPOB\"\nquarter = \"Q1 2023\"\nrevenue = 66694743\nexpenses = 21448775\nnet_income = 421192\neps = 2.32\n\n[metrics]\nprofit_margin = 7.89\nroe = 9.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J60\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I21\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-02,CN-4441974,60,F,MRN-925906,154/95,108,97.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I88\"\"}]\",chest pain,2026-01-06,CN-7868117,57,M,MRN-127397,101/68,113,99.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K40\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I63\"\"}]\",headache,2026-01-03,CN-2244265,19,F,MRN-771354,134/94,64,101.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J35\"\"}]\",chest pain,2026-01-04,CN-4758078,63,M,MRN-858083,172/103,70,100.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-8706225\"\npatient_mrn = \"MRN-970748\"\nprescriber = \"Brady Keller\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-551064,Eric Jackson,RX-3305496\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvasta\",MRN-979601,Benjamin Lee,RX-2433711\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-209290,Jesus Johnson,RX-5553915\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-161008,David Benson,RX-5302143\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-658873,Claudia Williams,RX-4368294\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3948\"\ncode = \"CSZ142\"\ntitle = \"Intuitive foreground functionalities 101\"\ninstructor = \"Robert Carter\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"manage\"\n\n[[schedule]]\nweek = 2\ntopic = \"catch\"\n\n[[schedule]]\nweek = 3\ntopic = \"people\"\n\n[[schedule]]\nweek = 4\ntopic = \"out\"\n\n[[schedule]]\nweek = 5\ntopic = \"story\"\n\n[[schedule]]\nweek = 6\ntopic = \"share\"\n\n[[schedule]]\nweek = 7\ntopic = \"become\"\n\n[[schedule]]\nweek = 8\ntopic = \"part\"\n\n[[schedule]]\nweek = 9\ntopic = \"cell\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-90196326\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"146c178d-e548-4357-8cd4-e8464cea2f9b\",\n  \"username\": \"kevincunningham\",\n  \"content\": \"Three would identify method across operation opportunity.\\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\\nCentral thus simple thousand morning.\",\n  \"timestamp\": \"2026-01-07T13:51:26.698310\",\n  \"hashtags\": [\n    \"#pay\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 458,\n    \"shares\": 383,\n    \"comments\": 63\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Taylor Ltd\"\nticker = \"AOED\"\nquarter = \"Q1 2024\"\nrevenue = 69752271\nexpenses = 52626087\nnet_income = 18580243\neps = 1.63\n\n[metrics]\nprofit_margin = 23.4\nroe = 21.22\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nYes eat up himself consumer. Technology just debate bill live oil.,\"[{\"\"name\"\": \"\"William Martin\"\", \"\"affiliation\"\": \"\"George, Nichols and Johnston\"\", \"\"email\"\": \"\"crystal73@examp\",265,Smith Ltd,\"[\"\"each\"\", \"\"on\"\", \"\"perhaps\"\"]\",arXiv:2023.67497,10.2923/Xnio,Nature,2022,Open-architected logistical paradigm\r\n\"Recent you low standard case. War set happen business both.\nInterest white another begin bit. Hotel \",\"[{\"\"name\"\": \"\"Tony Johnson\"\", \"\"affiliation\"\": \"\"Velasquez-Mcgee\"\", \"\"email\"\": \"\"powellbeth@example.net\"\"}, {\"\"na\",39,Alexander-Williams,\"[\"\"including\"\", \"\"image\"\", \"\"same\"\", \"\"front\"\"]\",arXiv:2024.55127,10.1618/CRnt,Nature,2022,Distributed real-time encoding\r\nRole attention attention. Director population and view theory vote.,\"[{\"\"name\"\": \"\"Amy Atkinson\"\", \"\"affiliation\"\": \"\"Drake Inc\"\", \"\"email\"\": \"\"kirk52@example.net\"\"}, {\"\"name\"\": \"\"Andr\",258,Davis-Adams,\"[\"\"lot\"\", \"\"later\"\", \"\"sell\"\"]\",arXiv:2021.67897,10.2296/JGbp,Nature,2023,Re-engineered exuding firmware\r\n\"Wonder he ball American page commercial able. Agree international positive meet travel.\nBlood summer\",\"[{\"\"name\"\": \"\"Mrs. Traci Brown\"\", \"\"affiliation\"\": \"\"Shields, Howell and Rodriguez\"\", \"\"email\"\": \"\"barbernatash\",194,Moore Ltd,\"[\"\"any\"\", \"\"talk\"\", \"\"under\"\", \"\"speech\"\", \"\"laugh\"\"]\",arXiv:2023.80940,10.3189/iPdm,Science,2021,Profit-focused attitude-oriented ability\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2023.67497\"\ntitle = \"Open-architected logistical paradigm\"\nabstract = \"Yes eat up himself consumer. Technology just debate bill live oil.\"\nkeywords = [ \"each\", \"on\", \"perhaps\",]\ncitations = 265\nfunding_source = \"Smith Ltd\"\n[[authors]]\nname = \"William Martin\"\naffiliation = \"George, Nichols and Johnston\"\nemail = \"crystal73@example.org\"\n\n[[authors]]\nname = \"Thomas Boyer\"\naffiliation = \"Powers, Miller and Johnston\"\nemail = \"xhardin@example.com\"\n\n[[authors]]\nname = \"Tanner Coffey\"\naffiliation = \"Perez, Marks and Thomas\"\nemail = \"tracywilliams@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.2923/Xnio\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-85338602\ncustomer_id: ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\ntimestamp: '2026-01-07T13:51:25.620781'\nitems:\n- sku: SKU-22630\n  qty: 3\n  price: 89.97\nsubtotal: 468.67\ntax: 148.91\ntotal: 792.01\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I65\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K11\"\"}]\",chest pain,2026-01-03,CN-8316023,50,F,MRN-627076,122/77,97,98.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J12\"\"}]\",chest pain,2026-01-02,CN-9405013,64,M,MRN-331388,163/71,80,98.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I88\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K17\"\"}]\",chest pain,2026-01-05,CN-1469298,69,M,MRN-731895,171/72,76,98.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J63\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J74\"\"}]\",chest pain,2026-01-02,CN-8718305,78,F,MRN-537906,157/70,92,102.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J78\"\"}]\",fever,2026-01-04,CN-2689340,74,F,MRN-304443,166/85,116,102.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nassessment_id: ASMT-766800\nstudent_id: STU-927295\ncourse_id: CRS-8819\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 4\n  points_possible: 10\n- question: 9\n  points_earned: 3\n  points_possible: 10\ntotal_score: 99\npercentage: 71.71\ngrade: A\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-766800</assessment_id>\n<student_id>STU-927295</student_id>\n<course_id>CRS-8819</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>99</total_score>\n<percentage>71.71</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2024\ntotal_revenue: 3108970\nunits_sold: 70292\nchannels:\n- name: online\n  revenue: 1867975\n  growth: -2.95\n- name: retail\n  revenue: 1947932\n  growth: 22.54\ntop_products:\n- sku: SKU-5409\n  sales: 492017\n- sku: SKU-4816\n  sales: 486050\n- sku: SKU-9957\n  sales: 44038\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output experiment result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 40.85,\n      \"endpoint\": 40.08,\n      \"p_value\": 0.4196\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.87,\n      \"endpoint\": 28.4,\n      \"p_value\": 0.208\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 74.0,\n      \"endpoint\": 18.43,\n      \"p_value\": 0.3638\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.48,\n      \"endpoint\": 15.59,\n      \"p_value\": 0.1146\n    }\n  ],\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 351,\n    \"duration_days\": 339\n  },\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 95.5\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 52.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 142.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 146.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 40.85,\n      \"endpoint\": 40.08,\n      \"p_value\": 0.4196\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.87,\n      \"endpoint\": 28.4,\n      \"p_value\": 0.208\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 74.0,\n      \"endpoint\": 18.43,\n      \"p_value\": 0.3638\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.48,\n      \"endpoint\": 15.59,\n      \"p_value\": 0.1146\n    }\n  ],\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 351,\n    \"duration_days\": 339\n  },\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<results>\n<metric>efficacy</metric>\n<baseline>40.85</baseline>\n<endpoint>40.08</endpoint>\n<p_value>0.4196</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.87</baseline>\n<endpoint>28.4</endpoint>\n<p_value>0.208</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>74.0</baseline>\n<endpoint>18.43</endpoint>\n<p_value>0.3638</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>50.48</baseline>\n<endpoint>15.59</endpoint>\n<p_value>0.1146</p_value>\n</results>\n<methodology>\n<design>observational</design>\n<sample_size>351</sample_size>\n<duration_days>339</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1926384, \"\"growth\"\": 34.29}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1062444, \"\"gr\",,,,,June 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-3818\"\", \"\"sales\"\": 48786}, {\"\"sku\"\": \"\"SKU-7605\"\", \"\"sales\"\": 408187}, {\"\"sku\"\": \"\"SKU-6728\"\", \"\"sal\",2603625,51574\r\n\"Human sound likely individual. Know within subject protect. Pattern talk by.\nAgent attack alone budg\",\"[{\"\"name\"\": \"\"Chad Garrison\"\", \"\"affiliation\"\": \"\"Coleman, Hamilton and Rivera\"\", \"\"email\"\": \"\"salazarsheryl@ex\",,161,None,\"[\"\"building\"\", \"\"now\"\", \"\"deep\"\", \"\"popular\"\"]\",arXiv:2021.58212,,10.3793/LXDF,Nature,2024,Optional fault-tolerant task-force,,,\r\nAhead PM really president surface. Than reach performance direction. Research skin onto painting.,\"[{\"\"name\"\": \"\"Angela Martin\"\", \"\"affiliation\"\": \"\"Robinson LLC\"\", \"\"email\"\": \"\"anorton@example.net\"\"}, {\"\"name\"\": \",,288,Brown-Coleman,\"[\"\"thousand\"\", \"\"career\"\", \"\"between\"\", \"\"significant\"\"]\",arXiv:2020.84927,,10.1961/HYhq,Cell,2023,Multi-tiered foreground support,,,\r\n\"Lead think year book. Subject space need. Yes grow nearly consider style.\nParty than from informatio\",\"[{\"\"name\"\": \"\"Jeffrey Howard\"\", \"\"affiliation\"\": \"\"Huff Ltd\"\", \"\"email\"\": \"\"james25@example.org\"\"}, {\"\"name\"\": \"\"An\",,273,\"Phillips, Flores and Sanchez\",\"[\"\"today\"\", \"\"entire\"\", \"\"address\"\"]\",arXiv:2020.82362,,10.6264/VoDO,Science,2024,Reactive scalable open architecture,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-9047593\",\n  \"patient_mrn\": \"MRN-478989\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 58.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 78.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 51.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-58559815\nplatform: instagram\nuser_id: 0fae79ab-dabb-47f5-823b-f22743181c7c\nusername: ortizkristina\ncontent: 'Speech can sea play. Season near story animal remain.\n\n  Off present vote wall. Society know family build. Certain thing live rise.'\ntimestamp: '2026-01-07T13:51:26.463560'\nhashtags:\n- '#once'\n- '#it'\n- '#rich'\n- '#keep'\nengagement:\n  likes: 248\n  shares: 32\n  comments: 161\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,percentage,publication_doi,publication_venue,publication_year,student_id,title,total_score\r\n,,,,,,61.11,,,,STU-785727,,96\r\nPush page month body begin. Culture attack issue. Something without loss speech computer.,\"[{\"\"name\"\": \"\"Philip Harvey\"\", \"\"affiliation\"\": \"\"Reynolds LLC\"\", \"\"email\"\": \"\"qpayne@example.net\"\"}, {\"\"name\"\": \"\"\",468,None,\"[\"\"explain\"\", \"\"air\"\", \"\"between\"\", \"\"change\"\"]\",arXiv:2021.61817,,10.5787/FVZz,Nature,2024,,Quality-focused regional forecast,\r\nAbout sell song force perform nature authority. Company coach better better special. Picture term wi,\"[{\"\"name\"\": \"\"Mr. Tyler Mack MD\"\", \"\"affiliation\"\": \"\"Cox-Brown\"\", \"\"email\"\": \"\"alisonduncan@example.com\"\"}, {\"\"n\",378,None,\"[\"\"alone\"\", \"\"increase\"\", \"\"join\"\", \"\"coach\"\", \"\"already\"\"]\",arXiv:2023.25310,,10.9544/PsVU,Nature,2022,,Face-to-face tangible methodology,\r\nUpon enough world city entire realize door. Central those then think tend may. Off protect hand cert,\"[{\"\"name\"\": \"\"Debra Washington\"\", \"\"affiliation\"\": \"\"Khan-Jenkins\"\", \"\"email\"\": \"\"joshuaevans@example.org\"\"}, {\"\"\",1,None,\"[\"\"up\"\", \"\"pick\"\", \"\"process\"\", \"\"total\"\"]\",arXiv:2020.79252,,10.2515/kRMh,Cell,2022,,Stand-alone 6thgeneration approach,\r\nCentury war able high name. Detail not help add nor. Certain cause campaign during politics.,\"[{\"\"name\"\": \"\"Lisa Thomas\"\", \"\"affiliation\"\": \"\"Clark, Brown and Hill\"\", \"\"email\"\": \"\"patricia04@example.org\"\"},\",174,None,\"[\"\"rock\"\", \"\"religious\"\", \"\"south\"\"]\",arXiv:2024.88866,,10.5479/OXRW,Nature,2024,,Ergonomic value-added time-frame,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3741</course_id>\n<code>XMJ312</code>\n<title>Managed incremental focus group 101</title>\n<instructor>Rachel Diaz</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>child</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>born</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>beyond</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>there</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-3741\",\n  \"code\": \"XMJ312\",\n  \"title\": \"Managed incremental focus group 101\",\n  \"instructor\": \"Rachel Diaz\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"child\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"born\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"beyond\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"there\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-883806</experiment_id>\n<title>Effect of there on wife</title>\n<methodology>\n<design>observational</design>\n<sample_size>200</sample_size>\n<duration_days>32</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>15.64</baseline>\n<endpoint>83.3</endpoint>\n<p_value>0.4248</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>36.36</baseline>\n<endpoint>63.05</endpoint>\n<p_value>0.0775</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-883806\",\n  \"title\": \"Effect of there on wife\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 200,\n    \"duration_days\": 32\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 15.64,\n      \"endpoint\": 83.3,\n      \"p_value\": 0.4248\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 36.36,\n      \"endpoint\": 63.05,\n      \"p_value\": 0.0775\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-1129442</note_id>\n<patient>\n<mrn>MRN-895859</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>127/81</bp>\n<hr>117</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-221554\nparties:\n- name: Terry, Mitchell and Garcia\n  role: party_a\n- name: Long, Oconnell and Doyle\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 49\nvalue: 353725\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this YAML data into CSV format:\nassessment_id: ASMT-871992\nstudent_id: STU-916232\ncourse_id: CRS-5865\ntype: quiz\ndate: '2026-01-05'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 6\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 5\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 2\n  points_possible: 10\n- question: 10\n  points_earned: 4\n  points_possible: 10\n- question: 11\n  points_earned: 5\n  points_possible: 10\ntotal_score: 83\npercentage: 70.57\ngrade: B\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-871992,,CRS-5865,,2026-01-05,B,,,,,70.57,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-916232,,,83,quiz\r\n,PXS273,CRS-9842,3,,,40,30,30,Nathan Diaz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"pay\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"a\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"rather\"\"}, {\"\"week\"\": 4,\",,,Spring 2024,Enterprise-wide methodical methodology 101,,\r\n,NYK472,CRS-9479,4,,,40,30,30,Joshua Ward,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"believe\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"this\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"her\"\"}, {\"\"week\"\"\",,,Fall 2024,Digitized web-enabled website 101,,\r\n,GHY107,CRS-5836,4,,,40,30,30,Lisa Miller,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"nature\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"on\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"budget\"\"}, {\"\"week\"\"\",,,Fall 2022,Centralized client-server architecture 101,,\r\n,WDQ343,CRS-6302,3,,,40,30,30,Aaron Hill,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"move\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"drive\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"water\"\"}, {\"\"week\"\"\",,,Spring 2023,Public-key cohesive secured line 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-137327</experiment_id>\n<title>Effect of class on read</title>\n<methodology>\n<design>RCT</design>\n<sample_size>679</sample_size>\n<duration_days>111</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>73.26</baseline>\n<endpoint>72.84</endpoint>\n<p_value>0.0533</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>49.24</baseline>\n<endpoint>28.3</endpoint>\n<p_value>0.0809</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-137327\",\n  \"title\": \"Effect of class on read\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 679,\n    \"duration_days\": 111\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 73.26,\n      \"endpoint\": 72.84,\n      \"p_value\": 0.0533\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 49.24,\n      \"endpoint\": 28.3,\n      \"p_value\": 0.0809\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Implemented leadingedge groupware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reveal\": {\n      \"get\": {\n        \"summary\": \"Parent dark five.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-139463\",\n  \"title\": \"Effect of quite on arm\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 371,\n    \"duration_days\": 284\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 91.61,\n      \"endpoint\": 76.9,\n      \"p_value\": 0.4003\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 58.96,\n      \"endpoint\": 23.83,\n      \"p_value\": 0.3437\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 23.31,\n      \"endpoint\": 88.63,\n      \"p_value\": 0.3018\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-139463</experiment_id>\n<title>Effect of quite on arm</title>\n<methodology>\n<design>RCT</design>\n<sample_size>371</sample_size>\n<duration_days>284</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>91.61</baseline>\n<endpoint>76.9</endpoint>\n<p_value>0.4003</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>58.96</baseline>\n<endpoint>23.83</endpoint>\n<p_value>0.3437</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>23.31</baseline>\n<endpoint>88.63</endpoint>\n<p_value>0.3018</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>0ea30289-ce13-425f-910d-da970e03d0fa</error_id>\n<timestamp>2026-01-07T13:51:25.772316</timestamp>\n<level>WARNING</level>\n<service>theService</service>\n<message>Country specific information follow daughter dark.</message>\n<stack_trace>at enjoy.py:340</stack_trace>\n<stack_trace>at current.py:45</stack_trace>\n<stack_trace>at hand.py:478</stack_trace>\n<context>\n<user_id>91a6b883-2593-4790-8a1e-5acd27aad31b</user_id>\n<request_id>1b22b6e6-0879-45de-9655-0fac03142f9b</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"0ea30289-ce13-425f-910d-da970e03d0fa\",\n  \"timestamp\": \"2026-01-07T13:51:25.772316\",\n  \"level\": \"WARNING\",\n  \"service\": \"theService\",\n  \"message\": \"Country specific information follow daughter dark.\",\n  \"stack_trace\": [\n    \"at enjoy.py:340\",\n    \"at current.py:45\",\n    \"at hand.py:478\"\n  ],\n  \"context\": {\n    \"user_id\": \"91a6b883-2593-4790-8a1e-5acd27aad31b\",\n    \"request_id\": \"1b22b6e6-0879-45de-9655-0fac03142f9b\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-7328466\npatient_mrn: MRN-740510\nprescriber: William Hebert\ndate: '2026-01-04'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: TID\n  quantity: 30\n- name: Metformin\n  dosage: 20mg\n  frequency: BID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2020.93852\",\n  \"title\": \"Reactive solution-oriented circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Jennifer Gray\",\n      \"affiliation\": \"Bryant, Lewis and Wells\",\n      \"email\": \"spalmer@example.com\"\n    },\n    {\n      \"name\": \"David Brown\",\n      \"affiliation\": \"Cortez, Cook and Ross\",\n      \"email\": \"melvin21@example.com\"\n    }\n  ],\n  \"abstract\": \"Law fund huge better or. Federal forward north law. Work available call never.\\nCarry cultural day front resource write. Southern white pattern fear.\",\n  \"keywords\": [\n    \"wind\",\n    \"wife\",\n    \"report\",\n    \"financial\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.1277/DPuH\"\n  },\n  \"citations\": 45,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.93852</paper_id>\n<title>Reactive solution-oriented circuit</title>\n<authors>\n<name>Jennifer Gray</name>\n<affiliation>Bryant, Lewis and Wells</affiliation>\n<email>spalmer@example.com</email>\n</authors>\n<authors>\n<name>David Brown</name>\n<affiliation>Cortez, Cook and Ross</affiliation>\n<email>melvin21@example.com</email>\n</authors>\n<abstract>Law fund huge better or. Federal forward north law. Work available call never.\nCarry cultural day front resource write. Southern white pattern fear.</abstract>\n<keywords>wind</keywords>\n<keywords>wife</keywords>\n<keywords>report</keywords>\n<keywords>financial</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.1277/DPuH</doi>\n</publication>\n<citations>45</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-524008\"\nname = \"Implemented multimedia focus group\"\ncategory = \"electronics\"\nprice = 524.9\ncurrency = \"USD\"\nstock = 714\nis_available = true\nrating = 2.56\nreviews = 633\n\n[specs]\nweight_kg = 40.1\ndimensions = \"80x44x77cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"69ef512f-ddd4-415a-b99a-51e8f50d151c\",\n  \"timestamp\": \"2026-01-07T13:51:25.644182\",\n  \"level\": \"WARNING\",\n  \"service\": \"fillService\",\n  \"message\": \"Minute heart focus arrive.\",\n  \"stack_trace\": [\n    \"at administration.py:211\",\n    \"at lawyer.py:276\",\n    \"at discussion.py:115\"\n  ],\n  \"context\": {\n    \"user_id\": \"29c6c678-1224-4e33-8bc1-e94776cd4eb2\",\n    \"request_id\": \"42e054d1-48f9-4a1c-ad7b-82ed505d6250\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "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>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate social media post data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-137327\ntitle: Effect of class on read\nmethodology:\n  design: RCT\n  sample_size: 679\n  duration_days: 111\nresults:\n- metric: safety\n  baseline: 73.26\n  endpoint: 72.84\n  p_value: 0.0533\n- metric: efficacy\n  baseline: 49.24\n  endpoint: 28.3\n  p_value: 0.0809\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nRDV209,CRS-3727,3,40,30,30,Caleb Bates,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"edge\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"response\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"civil\"\"}, {\"\"we\",Spring 2024,Versatile dynamic neural-net 101\r\nTTO281,CRS-1511,4,40,30,30,Julie Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"suffer\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"modern\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"every\"\"}, {\"\"we\",Spring 2022,Future-proofed radical support 101\r\nPQN320,CRS-1597,4,40,30,30,Jonathan Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"know\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"behavior\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"growth\"\"}, {\"\"w\",Spring 2020,Configurable discrete flexibility 101\r\nKXX164,CRS-7854,4,40,30,30,Hunter Morgan,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"son\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"knowledge\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"doctor\"\"}, {\"\"w\",Fall 2023,Expanded 24/7 emulation 101\r\nRJN192,CRS-2898,4,40,30,30,Jason Henderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"however\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"suggest\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"article\"\"}, \",Fall 2022,Centralized foreground circuit 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"November 2021\"\ntotal_revenue = 8992427\nunits_sold = 30636\n[[channels]]\nname = \"wholesale\"\nrevenue = 3169564\ngrowth = 42.35\n\n[[channels]]\nname = \"retail\"\nrevenue = 2683860\ngrowth = 36.55\n\n[[top_products]]\nsku = \"SKU-9614\"\nsales = 412171\n\n[[top_products]]\nsku = \"SKU-7573\"\nsales = 203488\n\n[[top_products]]\nsku = \"SKU-4372\"\nsales = 55896\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nBXM405,CRS-5704,3,40,30,30,Emily Bryan,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"southern\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"raise\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"across\"\"}, {\"\"\",Spring 2021,Profit-focused responsive throughput 101\r\nORB453,CRS-1733,4,40,30,30,Joel Martin,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"free\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"star\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"rate\"\"}, {\"\"week\"\": \",Fall 2023,Programmable non-volatile productivity 101\r\nHWN197,CRS-8444,4,40,30,30,Sara Hill,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"light\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"court\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"machine\"\"}, {\"\"we\",Spring 2021,Reactive object-oriented array 101\r\nUDW352,CRS-5746,3,40,30,30,Krystal Sutton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"drop\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"surface\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"dark\"\"}, {\"\"week\",Fall 2022,User-friendly interactive hardware 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-313579\"\neffective_date = \"2026-01-01\"\nterm_months = 55\nvalue = 108642\nstatus = \"active\"\n[[parties]]\nname = \"Roberts, Newton and Ortiz\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Garcia PLC\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<authors>\n<name>Emily Davis</name>\n<affiliation>Nelson, Diaz and Humphrey</affiliation>\n<email>jpalmer@example.org</email>\n</authors>\n<authors>\n<name>Robert Clark</name>\n<affiliation>James Inc</affiliation>\n<email>dennis02@example.net</email>\n</authors>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6797/tlMT</doi>\n</publication>\n<keywords>lead</keywords>\n<keywords>list</keywords>\n<keywords>she</keywords>\n<funding_source />\n<paper_id>arXiv:2022.72917</paper_id>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"authors\": [\n    {\n      \"name\": \"Emily Davis\",\n      \"affiliation\": \"Nelson, Diaz and Humphrey\",\n      \"email\": \"jpalmer@example.org\"\n    },\n    {\n      \"name\": \"Robert Clark\",\n      \"affiliation\": \"James Inc\",\n      \"email\": \"dennis02@example.net\"\n    }\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6797/tlMT\"\n  },\n  \"keywords\": [\n    \"lead\",\n    \"list\",\n    \"she\"\n  ],\n  \"funding_source\": null,\n  \"paper_id\": \"arXiv:2022.72917\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CBC,MRN-135092,LAB-9224780,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 129.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-06,CMP,MRN-209213,LAB-3202698,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 99.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 101\"\r\n2026-01-02,Lipid,MRN-586634,LAB-9158332,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 83.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 176.6, \"\r\n2026-01-04,CMP,MRN-885800,LAB-1109442,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 95.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": \"\r\n2026-01-01,CMP,MRN-998957,LAB-1688991,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 150.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 50\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-5832770\",\n  \"product_id\": \"PROD-688379\",\n  \"user_id\": \"d5e035fb-55b8-4fae-85aa-504fb2b837bd\",\n  \"rating\": 3,\n  \"title\": \"Investment great beat fear step Democrat treat.\",\n  \"content\": \"Near season take foot decade hold some meet.\\nPretty season exist old turn consumer particularly star. Step receive unit different.\",\n  \"date\": \"2026-01-02\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 62\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5832770</review_id>\n<product_id>PROD-688379</product_id>\n<user_id>d5e035fb-55b8-4fae-85aa-504fb2b837bd</user_id>\n<rating>3</rating>\n<title>Investment great beat fear step Democrat treat.</title>\n<content>Near season take foot decade hold some meet.\nPretty season exist old turn consumer particularly star. Step receive unit different.</content>\n<date>2026-01-02</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>62</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"contract_id\": \"CTR-640570\",\n  \"parties\": [\n    {\n      \"name\": \"Mitchell-Clark\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Simmons-Marquez\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 52,\n  \"value\": 450714,\n  \"status\": \"pending\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-640570</contract_id>\n<parties>\n<name>Mitchell-Clark</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Simmons-Marquez</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>52</term_months>\n<value>450714</value>\n<status>pending</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nCharacter own reduce improve in notice trade. Simply system international image modern. Owner former,399,1971,620,\"[\"\"#she\"\", \"\"#business\"\"]\",twitter,POST-41173745,2026-01-06T09:43:34.594219,289d92de-2f76-4c7c-8c66-20f100405214,ericsmith\r\n\"Many performance course career idea. Seat himself age upon past cause.\nEvent resource as finish. Hea\",291,1540,413,\"[\"\"#mission\"\", \"\"#traditional\"\", \"\"#adult\"\"]\",instagram,POST-32554956,2026-01-06T09:43:34.596252,6e8ef3b2-e926-43ff-84b4-42d0cec1d4c3,robert57\r\n\"Eye project each. Difficult care note. Human safe above walk.\nHere century law street find watch. Fi\",421,8789,419,\"[\"\"#consumer\"\", \"\"#shoulder\"\"]\",twitter,POST-14764959,2026-01-06T09:43:34.597233,e7651608-24a3-4894-af41-d4786ecd2c2c,kmurillo\r\n\"Type realize travel take something prevent project. Positive environment every wait.\nNational reason\",116,6105,190,\"[\"\"#now\"\", \"\"#relationship\"\"]\",facebook,POST-60458642,2026-01-06T09:43:34.597808,622d84d8-8dd1-4032-945e-098fd6b0d6c8,mvaldez\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1154\ncode: YVI312\ntitle: Operative even-keeled complexity 101\ninstructor: Margaret French\ncredits: 3\nterm: Spring 2021\nschedule:\n- week: 1\n  topic: eat\n- week: 2\n  topic: sea\n- week: 3\n  topic: far\n- week: 4\n  topic: effect\n- week: 5\n  topic: mind\n- week: 6\n  topic: not\n- week: 7\n  topic: improve\n- week: 8\n  topic: bill\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-325945\",\n  \"name\": \"Universal bottom-line system engine\",\n  \"category\": \"electronics\",\n  \"price\": 225.75,\n  \"currency\": \"USD\",\n  \"stock\": 955,\n  \"is_available\": true,\n  \"rating\": 3.31,\n  \"reviews\": 802,\n  \"specs\": {\n    \"weight_kg\": 22.25,\n    \"dimensions\": \"77x29x32cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-325945</product_id>\n<name>Universal bottom-line system engine</name>\n<category>electronics</category>\n<price>225.75</price>\n<currency>USD</currency>\n<stock>955</stock>\n<is_available>True</is_available>\n<rating>3.31</rating>\n<reviews>802</reviews>\n<specs>\n<weight_kg>22.25</weight_kg>\n<dimensions>77x29x32cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"rx_id\": \"RX-6885629\",\n  \"prescriber\": \"John Cook\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ],\n  \"date\": \"2026-01-02\",\n  \"patient_mrn\": \"MRN-741538\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-6885629</rx_id>\n<prescriber>John Cook</prescriber>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<date>2026-01-02</date>\n<patient_mrn>MRN-741538</patient_mrn>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nperiod = \"October 2021\"\nunits_sold = 10145\n[[channels]]\nname = \"online\"\nrevenue = 1828457\ngrowth = -8.14\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4883634\ngrowth = 17.47\n\n[[top_products]]\nsku = \"SKU-6642\"\nsales = 405316\n\n[[top_products]]\nsku = \"SKU-4442\"\nsales = 70356\n\n[[top_products]]\nsku = \"SKU-4946\"\nsales = 380567\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-419424\"\nstudent_id = \"STU-869858\"\ncourse_id = \"CRS-2495\"\ntype = \"quiz\"\ndate = \"2026-01-02\"\ntotal_score = 88\npercentage = 58.64\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2063</course_id>\n<code>FAH301</code>\n<title>Ameliorated zero administration productivity 101</title>\n<instructor>Aaron Bailey</instructor>\n<credits>4</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>health</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>buy</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>conference</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>late</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>fear</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>control</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>social</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-2063\",\n  \"code\": \"FAH301\",\n  \"title\": \"Ameliorated zero administration productivity 101\",\n  \"instructor\": \"Aaron Bailey\",\n  \"credits\": 4,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"health\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"buy\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"conference\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"late\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"fear\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"control\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"social\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nCarry four play. Reveal anyone live during international magazine. Prevent meeting share bit I.,152,9627,120,\"[\"\"#ability\"\", \"\"#establish\"\"]\",facebook,POST-60981055,2026-01-06T09:43:34.135905,19229dfb-5312-40c0-98c7-26e63c8232e3,lisa60\r\nOld best plan form election already sign. Consumer opportunity many down him however daughter.,21,8424,149,\"[\"\"#grow\"\", \"\"#wall\"\", \"\"#entire\"\"]\",twitter,POST-39171216,2026-01-06T09:43:34.138289,0c29204e-196b-48d1-9aa3-3dd8749fbc46,anndiaz\r\n\"Media wonder sit few top. Us consumer wear ago parent meeting bag.\nSuffer season sing ten bag. Popul\",473,9581,714,\"[\"\"#wide\"\", \"\"#bad\"\", \"\"#however\"\", \"\"#so\"\"]\",twitter,POST-69591436,2026-01-06T09:43:34.138951,bbe7a49d-407d-4b34-8c32-b32334a22d1e,joshua60\r\nChild scientist subject computer. Thousand TV situation agency understand already he. Tell strong fa,74,9339,883,\"[\"\"#start\"\", \"\"#as\"\", \"\"#candidate\"\", \"\"#color\"\"]\",twitter,POST-62975964,2026-01-06T09:43:34.139507,1bb4b3f0-c8dd-4000-b0ed-fa39f485513d,kelly56\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2024.66116\",\n  \"title\": \"Quality-focused grid-enabled service-desk\",\n  \"authors\": [\n    {\n      \"name\": \"David Cohen\",\n      \"affiliation\": \"Lopez and Sons\",\n      \"email\": \"mark98@example.com\"\n    },\n    {\n      \"name\": \"Ashley Spencer\",\n      \"affiliation\": \"Hood Ltd\",\n      \"email\": \"pbailey@example.org\"\n    },\n    {\n      \"name\": \"Robin Lynch\",\n      \"affiliation\": \"Camacho, Nelson and Perez\",\n      \"email\": \"samantha44@example.net\"\n    }\n  ],\n  \"abstract\": \"Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.\",\n  \"keywords\": [\n    \"rather\",\n    \"hair\",\n    \"attorney\",\n    \"chance\",\n    \"bring\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2020,\n    \"doi\": \"10.7468/EeJM\"\n  },\n  \"citations\": 174,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.66116</paper_id>\n<title>Quality-focused grid-enabled service-desk</title>\n<authors>\n<name>David Cohen</name>\n<affiliation>Lopez and Sons</affiliation>\n<email>mark98@example.com</email>\n</authors>\n<authors>\n<name>Ashley Spencer</name>\n<affiliation>Hood Ltd</affiliation>\n<email>pbailey@example.org</email>\n</authors>\n<authors>\n<name>Robin Lynch</name>\n<affiliation>Camacho, Nelson and Perez</affiliation>\n<email>samantha44@example.net</email>\n</authors>\n<abstract>Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.</abstract>\n<keywords>rather</keywords>\n<keywords>hair</keywords>\n<keywords>attorney</keywords>\n<keywords>chance</keywords>\n<keywords>bring</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2020</year>\n<doi>10.7468/EeJM</doi>\n</publication>\n<citations>174</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nencounter_date = \"2026-01-06\"\nnote_id = \"CN-3244099\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I24\"\n\n[patient]\nmrn = \"MRN-470382\"\nage = 61\ngender = \"F\"\n\n[vitals]\nbp = \"158/77\"\nhr = 112\ntemp_f = 99.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 631896, \"\"growth\"\": 35.72}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 4650111, \"\"\",,,,,March 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-7247\"\", \"\"sales\"\": 385196}, {\"\"sku\"\": \"\"SKU-6028\"\", \"\"sales\"\": 99550}, {\"\"sku\"\": \"\"SKU-6770\"\", \"\"sal\",1310906,20792\r\nOld personal more watch.,\"[{\"\"name\"\": \"\"Michael Sullivan\"\", \"\"affiliation\"\": \"\"Robinson, Ashley and Le\"\", \"\"email\"\": \"\"icardenas@example.\",,91,None,\"[\"\"pattern\"\", \"\"actually\"\", \"\"fine\"\", \"\"million\"\", \"\"financial\"\"]\",arXiv:2022.23503,,10.9783/aItY,Cell,2020,Profound reciprocal matrices,,,\r\nHusband edge time friend box feel keep.,\"[{\"\"name\"\": \"\"Janet Robinson\"\", \"\"affiliation\"\": \"\"Rivera, Ward and Collins\"\", \"\"email\"\": \"\"bentleyelizabeth@ex\",,100,None,\"[\"\"I\"\", \"\"anything\"\", \"\"fine\"\", \"\"father\"\", \"\"property\"\"]\",arXiv:2022.91126,,10.6029/UVjx,Nature,2020,Secured 24/7 architecture,,,\r\nTeach others front sign forward cause. Happen loss possible baby. Sound employee around a administra,\"[{\"\"name\"\": \"\"Savannah Schwartz\"\", \"\"affiliation\"\": \"\"Woods-Douglas\"\", \"\"email\"\": \"\"emily93@example.com\"\"}, {\"\"na\",,476,\"Moody, Morgan and Marquez\",\"[\"\"remember\"\", \"\"open\"\", \"\"become\"\", \"\"new\"\", \"\"could\"\"]\",arXiv:2021.93833,,10.5629/vSlr,Nature,2024,Profound dynamic moratorium,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"paper_id\": \"arXiv:2020.10600\",\n  \"title\": \"Reactive bi-directional middleware\",\n  \"authors\": [\n    {\n      \"name\": \"Sarah Rose\",\n      \"affiliation\": \"Martin, Taylor and Mills\",\n      \"email\": \"adrianporter@example.com\"\n    },\n    {\n      \"name\": \"Samantha Garcia\",\n      \"affiliation\": \"Santiago LLC\",\n      \"email\": \"cbrewer@example.net\"\n    }\n  ],\n  \"abstract\": \"Carry prove certain tell event break. Thus not actually teacher girl perhaps.\",\n  \"keywords\": [\n    \"public\",\n    \"stock\",\n    \"student\",\n    \"hair\",\n    \"hard\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.6112/KodW\"\n  },\n  \"citations\": 273,\n  \"funding_source\": \"Salazar, Mullen and Johnson\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2020.10600\ntitle: Reactive bi-directional middleware\nauthors:\n- name: Sarah Rose\n  affiliation: Martin, Taylor and Mills\n  email: adrianporter@example.com\n- name: Samantha Garcia\n  affiliation: Santiago LLC\n  email: cbrewer@example.net\nabstract: Carry prove certain tell event break. Thus not actually teacher girl perhaps.\nkeywords:\n- public\n- stock\n- student\n- hair\n- hard\npublication:\n  venue: Cell\n  year: 2022\n  doi: 10.6112/KodW\ncitations: 273\nfunding_source: Salazar, Mullen and Johnson\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopri\",MRN-256913,Victor Valentine,RX-8246470\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-423030,Zachary Wood,RX-5991956\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-317647,Michael Shah,RX-7154510\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastati\",MRN-699913,Samuel White,RX-6217194\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate api specification data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/Congress_get_parameters,paths_/Congress_get_responses_200_description,paths_/Congress_get_responses_400_description,paths_/Congress_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Robust foreground policy API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Fly medical strong such season book.,,,,\r\nExpert wind cut lot beyond. Threat full role fine parent story bank. Yet although window newspaper e,\"[{\"\"name\"\": \"\"Adam Henderson\"\", \"\"affiliation\"\": \"\"Clark, Adams and Brown\"\", \"\"email\"\": \"\"madelineharris@exampl\",54,Carlson Group,,,\"[\"\"create\"\", \"\"assume\"\", \"\"approach\"\"]\",,arXiv:2020.59272,,,,,10.3568/oyeA,Nature,2024,Optimized 24/7 superstructure\r\n\"Young stay administration new south military. Hear share federal.\nMagazine one threat. Particular us\",\"[{\"\"name\"\": \"\"Suzanne Santana\"\", \"\"affiliation\"\": \"\"Walter, Acevedo and Hensley\"\", \"\"email\"\": \"\"pwalsh@example.\",233,None,,,\"[\"\"someone\"\", \"\"school\"\", \"\"himself\"\", \"\"science\"\", \"\"today\"\"]\",,arXiv:2022.81978,,,,,10.4774/gMUZ,Nature,2021,Fundamental zero administration focus group\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-72432123\ncustomer_id: d14101dd-b47b-4916-b7e5-0ad54eefbb55\ntimestamp: '2026-01-07T13:51:26.808008'\nitems:\n- sku: SKU-29323\n  qty: 2\n  price: 70.49\n- sku: SKU-65460\n  qty: 3\n  price: 466.32\n- sku: SKU-59283\n  qty: 1\n  price: 149.96\n- sku: SKU-68579\n  qty: 2\n  price: 13.04\nsubtotal: 1301.16\ntax: 124.54\ntotal: 239.49\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Visionary eco-centric methodology API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/edge\": {\n      \"get\": {\n        \"summary\": \"Simple really social range.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"post_id\": \"POST-25055870\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"28837af0-4898-41b2-8a38-faf0e2d7f431\",\n  \"username\": \"khahn\",\n  \"content\": \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\",\n  \"timestamp\": \"2026-01-07T13:51:27.403909\",\n  \"hashtags\": [\n    \"#conference\",\n    \"#body\"\n  ],\n  \"engagement\": {\n    \"likes\": 9394,\n    \"shares\": 444,\n    \"comments\": 203\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-25055870\"\nplatform = \"twitter\"\nuser_id = \"28837af0-4898-41b2-8a38-faf0e2d7f431\"\nusername = \"khahn\"\ncontent = \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\"\ntimestamp = \"2026-01-07T13:51:27.403909\"\nhashtags = [ \"#conference\", \"#body\",]\n\n[engagement]\nlikes = 9394\nshares = 444\ncomments = 203\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78526123</post_id>\n<platform>twitter</platform>\n<user_id>17596017-ad50-41af-8dc2-8746d15af00d</user_id>\n<username>qsharp</username>\n<content>Seven behavior less water pretty.\nRock key include. Kind than game agreement.\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.</content>\n<timestamp>2026-01-07T13:51:27.460227</timestamp>\n<hashtags>#draw</hashtags>\n<hashtags>#five</hashtags>\n<hashtags>#culture</hashtags>\n<hashtags>#sport</hashtags>\n<engagement>\n<likes>1826</likes>\n<shares>489</shares>\n<comments>393</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-78526123\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"17596017-ad50-41af-8dc2-8746d15af00d\",\n  \"username\": \"qsharp\",\n  \"content\": \"Seven behavior less water pretty.\\nRock key include. Kind than game agreement.\\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.\",\n  \"timestamp\": \"2026-01-07T13:51:27.460227\",\n  \"hashtags\": [\n    \"#draw\",\n    \"#five\",\n    \"#culture\",\n    \"#sport\"\n  ],\n  \"engagement\": {\n    \"likes\": 1826,\n    \"shares\": 489,\n    \"comments\": 393\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-871992</assessment_id>\n<student_id>STU-916232</student_id>\n<course_id>CRS-5865</course_id>\n<type>quiz</type>\n<date>2026-01-05</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>83</total_score>\n<percentage>70.57</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-871992\",\n  \"student_id\": \"STU-916232\",\n  \"course_id\": \"CRS-5865\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-05\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 83,\n  \"percentage\": 70.57,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-3684509\",\n  \"patient_mrn\": \"MRN-644382\",\n  \"prescriber\": \"Chelsea Henson\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3684509</rx_id>\n<patient_mrn>MRN-644382</patient_mrn>\n<prescriber>Chelsea Henson</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</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>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\nconclusion,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-576786,RCT,123,209,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 41.98, \"\"endpoint\"\": 25.74, \"\"p_value\"\": 0.3385}, {\"\"metric\"\": \"\"efficacy\",Effect of meeting on pay\r\nsignificant,EXP-737752,RCT,62,928,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 93.07, \"\"endpoint\"\": 53.57, \"\"p_value\"\": 0.0785}, {\"\"metric\"\": \"\"efficacy\",Effect of reality on level\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id: EXP-725280\ntitle: Effect of city on expert\nmethodology:\n  design: observational\n  sample_size: 907\n  duration_days: 166\nresults:\n- metric: safety\n  baseline: 43.19\n  endpoint: 64.81\n  p_value: 0.4813\n- metric: safety\n  baseline: 71.73\n  endpoint: 68.14\n  p_value: 0.0851\n- metric: safety\n  baseline: 77.12\n  endpoint: 63.9\n  p_value: 0.1154\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1132090\nproduct_id: PROD-380257\nuser_id: 251dc214-da1e-4fb5-8ea5-d107ad43f82c\nrating: 4\ntitle: Young race true property less government.\ncontent: 'Brother agent radio might own development. Too strong minute building why.\n  Cell so amount imagine simple.\n\n  Court every deal change allow last practice. Western far thus.'\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 14\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"May 2022\"\ntotal_revenue = 5461722\nunits_sold = 59103\n[[channels]]\nname = \"online\"\nrevenue = 181374\ngrowth = 12.31\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4872532\ngrowth = 3.21\n\n[[top_products]]\nsku = \"SKU-1631\"\nsales = 49582\n\n[[top_products]]\nsku = \"SKU-4839\"\nsales = 51047\n\n[[top_products]]\nsku = \"SKU-5843\"\nsales = 115177\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,error_id,funding_source,keywords,level,paper_id,publication_doi,publication_venue,publication_year,service,title\r\n,,,85223c4c-4b76-4351-95ee-55a2460043f3,,,ERROR,,,,,writeService,\r\n\"Wall fast apply movie. World ok several no.\nCrime less arm region network society until. Man include\",\"[{\"\"name\"\": \"\"Tasha Anderson\"\", \"\"affiliation\"\": \"\"Hoffman, Lopez and Middleton\"\", \"\"email\"\": \"\"garciasteven@ex\",138,,None,\"[\"\"gas\"\", \"\"laugh\"\", \"\"step\"\", \"\"capital\"\", \"\"nation\"\"]\",,arXiv:2022.23734,10.9004/fnkj,Cell,2022,,Right-sized even-keeled core\r\nLay cell true do individual computer choose. Third art buy put beat.,\"[{\"\"name\"\": \"\"Joel Mccoy\"\", \"\"affiliation\"\": \"\"Maldonado PLC\"\", \"\"email\"\": \"\"molinazoe@example.net\"\"}, {\"\"name\"\": \",249,,None,\"[\"\"night\"\", \"\"range\"\", \"\"sense\"\", \"\"defense\"\", \"\"past\"\"]\",,arXiv:2024.17868,10.2051/hpCt,Science,2022,,Multi-layered mission-critical toolset\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Exclusive next generation database API\n  version: 1.0.0\npaths:\n  /score:\n    get:\n      summary: Herself daughter suddenly see government alone.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.54834</paper_id>\n<title>Profit-focused radical throughput</title>\n<authors>\n<name>Scott Dunlap</name>\n<affiliation>Daniels PLC</affiliation>\n<email>williamssheri@example.com</email>\n</authors>\n<authors>\n<name>Shawn Payne</name>\n<affiliation>Dorsey, Price and Burns</affiliation>\n<email>smoyer@example.net</email>\n</authors>\n<authors>\n<name>Chase Lee</name>\n<affiliation>Garcia Inc</affiliation>\n<email>burgesssarah@example.org</email>\n</authors>\n<abstract>Read deal buy final thus. Sure home game rest lose.\nThose any reality if teach.\nMain never still little study clearly today.</abstract>\n<keywords>measure</keywords>\n<keywords>stage</keywords>\n<keywords>scene</keywords>\n<keywords>reason</keywords>\n<publication>\n<venue>Science</venue>\n<year>2020</year>\n<doi>10.8776/UhOT</doi>\n</publication>\n<citations>388</citations>\n<funding_source>Reese-Perez</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.54834\",\n  \"title\": \"Profit-focused radical throughput\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Dunlap\",\n      \"affiliation\": \"Daniels PLC\",\n      \"email\": \"williamssheri@example.com\"\n    },\n    {\n      \"name\": \"Shawn Payne\",\n      \"affiliation\": \"Dorsey, Price and Burns\",\n      \"email\": \"smoyer@example.net\"\n    },\n    {\n      \"name\": \"Chase Lee\",\n      \"affiliation\": \"Garcia Inc\",\n      \"email\": \"burgesssarah@example.org\"\n    }\n  ],\n  \"abstract\": \"Read deal buy final thus. Sure home game rest lose.\\nThose any reality if teach.\\nMain never still little study clearly today.\",\n  \"keywords\": [\n    \"measure\",\n    \"stage\",\n    \"scene\",\n    \"reason\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2020,\n    \"doi\": \"10.8776/UhOT\"\n  },\n  \"citations\": 388,\n  \"funding_source\": \"Reese-Perez\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\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": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nservice: findService\nstack_trace:\n- at watch.py:197\n- at body.py:298\n- at girl.py:392\n- at red.py:350\nlevel: ERROR\nmessage: Head then too threat drive.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nresult_id = \"LAB-6054410\"\npatient_mrn = \"MRN-804327\"\norder_date = \"2026-01-01\"\npanel = \"CMP\"\n[[results]]\ntest = \"WBC\"\nvalue = 178.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 81.2\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 129.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 69.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 87.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 97.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 89.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1731538, \"\"growth\"\": 19.74}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4707421, \",,,,,August 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-4259\"\", \"\"sales\"\": 461117}, {\"\"sku\"\": \"\"SKU-4056\"\", \"\"sales\"\": 457473}, {\"\"sku\"\": \"\"SKU-4682\"\", \"\"sa\",2493980,42293\r\n\"Music choice middle whether. Significant energy all research feeling once girl. South yeah run.\nStat\",\"[{\"\"name\"\": \"\"Taylor Franco\"\", \"\"affiliation\"\": \"\"Patterson LLC\"\", \"\"email\"\": \"\"jacobsrobert@example.com\"\"}, {\"\"n\",,175,None,\"[\"\"last\"\", \"\"language\"\", \"\"baby\"\", \"\"city\"\", \"\"rich\"\"]\",arXiv:2022.98896,,10.8147/xqDv,Science,2024,Exclusive stable neural-net,,,\r\nMan among knowledge able. Analysis point trip day certain certainly rock.,\"[{\"\"name\"\": \"\"Dr. Jose Levine\"\", \"\"affiliation\"\": \"\"Jacobson and Sons\"\", \"\"email\"\": \"\"sturner@example.com\"\"}, {\"\"\",,32,None,\"[\"\"role\"\", \"\"goal\"\", \"\"born\"\"]\",arXiv:2024.40701,,10.9789/emFv,Cell,2024,Synergistic asynchronous database,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2337421,\n  \"units_sold\": 23839,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3840938,\n      \"growth\": 18.52\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1512471,\n      \"growth\": 13.02\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1744\",\n      \"sales\": 276633\n    },\n    {\n      \"sku\": \"SKU-5145\",\n      \"sales\": 26445\n    },\n    {\n      \"sku\": \"SKU-9218\",\n      \"sales\": 412054\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2337421</total_revenue>\n<units_sold>23839</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3840938</revenue>\n<growth>18.52</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1512471</revenue>\n<growth>13.02</growth>\n</channels>\n<top_products>\n<sku>SKU-1744</sku>\n<sales>276633</sales>\n</top_products>\n<top_products>\n<sku>SKU-5145</sku>\n<sales>26445</sales>\n</top_products>\n<top_products>\n<sku>SKU-9218</sku>\n<sales>412054</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npanel: Lipid\nresult_id: LAB-2052546\norder_date: '2026-01-02'\nresults:\n- test: Glucose\n  value: 97.8\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 72.9\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 78.8\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 133.9\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 117.2\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 80.1\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 186.4\n  unit: mg/dL\n  flag: low\npatient_mrn: MRN-874630\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"error_id\": \"e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\",\n  \"timestamp\": \"2026-01-07T13:51:25.462522\",\n  \"level\": \"ERROR\",\n  \"service\": \"winService\",\n  \"message\": \"Western energy project push building.\",\n  \"stack_trace\": [\n    \"at could.py:42\",\n    \"at seem.py:198\"\n  ],\n  \"context\": {\n    \"user_id\": \"7197800d-0acd-4eee-b9ab-24b5158dfa0a\",\n    \"request_id\": \"00c4c00d-dc22-4013-8495-1ed2381fc937\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,00c4c00d-dc22-4013-8495-1ed2381fc937,7197800d-0acd-4eee-b9ab-24b5158dfa0a,e01a43f8-d4eb-4ec7-a325-ad2b31726d0f,,,ERROR,Western energy project push building.,,,,,winService,\"[\"\"at could.py:42\"\", \"\"at seem.py:198\"\"]\",2026-01-07T13:51:25.462522,\r\nJoin dark field develop another. Air control simply too part off call. Morning result sea.,\"[{\"\"name\"\": \"\"Terry Austin\"\", \"\"affiliation\"\": \"\"Vasquez Group\"\", \"\"email\"\": \"\"roachkrystal@example.org\"\"}, {\"\"na\",419,,,,None,\"[\"\"understand\"\", \"\"research\"\", \"\"word\"\", \"\"great\"\"]\",,,arXiv:2022.42029,10.4747/lall,Nature,2021,,,,Switchable optimal implementation\r\n\"Matter own four. These record its audience writer control. Thank police bill everyone indeed.\nEviden\",\"[{\"\"name\"\": \"\"Tammy Powell\"\", \"\"affiliation\"\": \"\"Fitzgerald-Sanders\"\", \"\"email\"\": \"\"taylorjones@example.org\"\"}, \",248,,,,None,\"[\"\"total\"\", \"\"consider\"\", \"\"available\"\", \"\"according\"\", \"\"true\"\"]\",,,arXiv:2020.67747,10.2366/OLxo,Nature,2020,,,,Self-enabling mission-critical collaboration\r\n\"Part close then.\nApproach century young send his certain similar group. Yeah detail staff cell store\",\"[{\"\"name\"\": \"\"Elizabeth Herman\"\", \"\"affiliation\"\": \"\"Gonzales Ltd\"\", \"\"email\"\": \"\"david11@example.com\"\"}, {\"\"name\",435,,,,Brooks-Gray,\"[\"\"serve\"\", \"\"data\"\", \"\"position\"\", \"\"into\"\", \"\"choose\"\"]\",,,arXiv:2023.73294,10.2782/dnHH,Science,2023,,,,Pre-emptive explicit collaboration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Decentralized heuristic migration,124.58,PROD-791864,3.59,538,30x16x25cm,9.83,601\r\nclothing,USD,True,Future-proofed systematic hardware,992.92,PROD-537096,4.54,344,18x72x25cm,5.0,464\r\nclothing,USD,True,Reduced multimedia framework,219.85,PROD-359731,4.05,390,77x18x94cm,47.87,513\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: November 2022\ntotal_revenue: 9138741\nunits_sold: 89798\nchannels:\n- name: wholesale\n  revenue: 1234153\n  growth: 40.64\n- name: online\n  revenue: 991509\n  growth: -4.15\ntop_products:\n- sku: SKU-9585\n  sales: 30234\n- sku: SKU-8072\n  sales: 57362\n- sku: SKU-4011\n  sales: 249730\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"03dcbba2-8070-483e-a807-51e4c6301bf5\"\ntimestamp = \"2026-01-07T13:51:27.875594\"\nlevel = \"WARNING\"\nservice = \"stockService\"\nmessage = \"Feel garden dark.\"\nstack_trace = [ \"at another.py:304\", \"at happy.py:331\", \"at record.py:415\",]\n\n[context]\nuser_id = \"cedcf075-a01b-42e9-acdc-a300ea843992\"\nrequest_id = \"acbfd7fd-a4ab-431b-a098-ac4537826f14\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>d03afc03-94bd-4dbb-bf49-9cda441c119b</error_id>\n<timestamp>2026-01-07T13:51:25.952127</timestamp>\n<level>CRITICAL</level>\n<service>fromService</service>\n<message>Add perform politics some card score brother.</message>\n<stack_trace>at send.py:152</stack_trace>\n<stack_trace>at young.py:309</stack_trace>\n<context>\n<user_id>2b3e5573-7b69-4807-a899-cbaa4adadf38</user_id>\n<request_id>beac9c14-4ae5-407d-9aae-d7a56f6790f6</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"d03afc03-94bd-4dbb-bf49-9cda441c119b\",\n  \"timestamp\": \"2026-01-07T13:51:25.952127\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"fromService\",\n  \"message\": \"Add perform politics some card score brother.\",\n  \"stack_trace\": [\n    \"at send.py:152\",\n    \"at young.py:309\"\n  ],\n  \"context\": {\n    \"user_id\": \"2b3e5573-7b69-4807-a899-cbaa4adadf38\",\n    \"request_id\": \"beac9c14-4ae5-407d-9aae-d7a56f6790f6\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"message\": \"Computer so cold feeling huge reason reach.\",\n  \"error_id\": \"ddf52566-8f32-4c90-8477-d7f45504f7db\",\n  \"stack_trace\": [\n    \"at their.py:436\",\n    \"at activity.py:81\",\n    \"at test.py:46\"\n  ],\n  \"timestamp\": \"2026-01-07T13:51:26.578554\",\n  \"context\": {\n    \"user_id\": \"97fc14e5-867d-4c23-9d2e-00b538b50acf\",\n    \"request_id\": \"ab94fb1e-d258-4626-9686-12f860249c41\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"company\": \"Hill-Marsh\",\n  \"ticker\": \"ZFVR\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 46703834,\n  \"expenses\": 77071880,\n  \"net_income\": 4141173,\n  \"eps\": 8.71,\n  \"metrics\": {\n    \"profit_margin\": 28.84,\n    \"roe\": 14.06\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHill-Marsh,8.71,77071880,28.84,14.06,4141173,Q3 2024,46703834,ZFVR\r\n\"Gray, Baldwin and Bradley\",7.96,16998062,10.31,9.3,16393625,Q3 2021,9591147,AUBW\r\n\"Olson, Green and Bradley\",4.71,71722749,5.91,13.17,5485814,Q3 2024,14743710,AVIR\r\n\"Rodriguez, Kirby and Anderson\",2.17,43143419,12.58,11.11,3610898,Q3 2024,11484247,XUXZ\r\n\"Gardner, Baker and Obrien\",3.02,20063335,21.21,11.64,3240977,Q3 2023,50601728,DUFP\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-69367106\"\nplatform = \"twitter\"\nuser_id = \"7643b70d-1c60-436f-974e-7bc6cee5e032\"\nusername = \"gordonalexander\"\ncontent = \"See personal couple road president most next. Laugh teach lawyer character work present.\\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.\"\ntimestamp = \"2026-01-07T13:51:25.991400\"\nhashtags = [ \"#PM\", \"#stage\", \"#government\",]\n\n[engagement]\nlikes = 1911\nshares = 761\ncomments = 62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from TOML to CSV:\ntxn_id = \"TXN-28879814\"\ncustomer_id = \"b13e97b5-e84b-41ec-9dea-05b4809cdd35\"\ntimestamp = \"2026-01-07T13:51:25.895711\"\nsubtotal = 994.66\ntax = 143.59\ntotal = 1762.36\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-36351\"\nqty = 1\nprice = 310.41\n\n[[items]]\nsku = \"SKU-26629\"\nqty = 2\nprice = 119.44\n\n[[items]]\nsku = \"SKU-75447\"\nqty = 3\nprice = 127.79\n\n[[items]]\nsku = \"SKU-81003\"\nqty = 3\nprice = 336.59\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nb13e97b5-e84b-41ec-9dea-05b4809cdd35,\"[{\"\"sku\"\": \"\"SKU-36351\"\", \"\"qty\"\": 1, \"\"price\"\": 310.41}, {\"\"sku\"\": \"\"SKU-26629\"\", \"\"qty\"\": 2, \"\"price\"\": 119.44}, {\",apple_pay,994.66,143.59,2026-01-07T13:51:25.895711,1762.36,TXN-28879814\r\nc93f99c2-d211-4f6d-8231-adba2e350118,\"[{\"\"sku\"\": \"\"SKU-59987\"\", \"\"qty\"\": 1, \"\"price\"\": 398.01}, {\"\"sku\"\": \"\"SKU-37174\"\", \"\"qty\"\": 2, \"\"price\"\": 438.11}]\",credit_card,764.36,62.6,2026-01-07T13:51:25.897218,1150.3,TXN-92489527\r\nc3ea38bf-03e9-4073-97fa-f3481c6bae2f,\"[{\"\"sku\"\": \"\"SKU-50902\"\", \"\"qty\"\": 2, \"\"price\"\": 219.88}]\",apple_pay,1899.29,68.58,2026-01-07T13:51:25.897263,686.74,TXN-67821163\r\n385bc0d9-95fb-4a89-9bf9-28fc41191668,\"[{\"\"sku\"\": \"\"SKU-76207\"\", \"\"qty\"\": 5, \"\"price\"\": 413.24}]\",credit_card,463.37,93.53,2026-01-07T13:51:25.897296,1568.53,TXN-12140069\r\nc5e6225f-e73d-411c-9457-5eca15f773f0,\"[{\"\"sku\"\": \"\"SKU-63996\"\", \"\"qty\"\": 2, \"\"price\"\": 362.36}, {\"\"sku\"\": \"\"SKU-54253\"\", \"\"qty\"\": 2, \"\"price\"\": 37.65}, {\"\"\",paypal,1501.55,49.59,2026-01-07T13:51:25.897325,2068.34,TXN-43814480\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-5646798\",\n  \"headline\": \"Switchable hybrid groupware\",\n  \"author\": \"Joshua Bell\",\n  \"published\": \"2026-01-05T05:31:42.088007\",\n  \"section\": \"Business\",\n  \"content\": \"List road lay not year. Congress gas full particular according. Prevent hear century game friend civil live.\\nPossible option especially woman. Ahead down suffer doctor six traditional. Prove ready American star impact operation just. Difficult yourself difficult base of four letter.\",\n  \"tags\": [\n    \"author\",\n    \"son\",\n    \"food\"\n  ],\n  \"views\": 74484,\n  \"shares\": 596\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-5646798</article_id>\n<headline>Switchable hybrid groupware</headline>\n<author>Joshua Bell</author>\n<published>2026-01-05T05:31:42.088007</published>\n<section>Business</section>\n<content>List road lay not year. Congress gas full particular according. Prevent hear century game friend civil live.\nPossible option especially woman. Ahead down suffer doctor six traditional. Prove ready American star impact operation just. Difficult yourself difficult base of four letter.</content>\n<tags>author</tags>\n<tags>son</tags>\n<tags>food</tags>\n<views>74484</views>\n<shares>596</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Optional bottom-line complexity API\"\nversion = \"1.0.0\"\n\n[paths.\"/traditional\".get]\nsummary = \"Discussion then kind hair.\"\n[[paths.\"/traditional\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/traditional\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/traditional\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/traditional\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/traditional_get_parameters,paths_/traditional_get_responses_200_description,paths_/traditional_get_responses_400_description,paths_/traditional_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Optional bottom-line complexity API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Discussion then kind hair.,,,,\r\nOne south moment again. Own brother explain above together.,\"[{\"\"name\"\": \"\"Andrea Riley\"\", \"\"affiliation\"\": \"\"Cohen-Romero\"\", \"\"email\"\": \"\"olyons@example.org\"\"}, {\"\"name\"\": \"\"J\",389,None,,,\"[\"\"medical\"\", \"\"lead\"\", \"\"method\"\"]\",,arXiv:2020.80157,,,,,10.5496/FRvU,Nature,2024,Reverse-engineered holistic firmware\r\nServe many world. Foreign start color lead southern affect five.,\"[{\"\"name\"\": \"\"Jeremy Price\"\", \"\"affiliation\"\": \"\"Fisher, Collier and Bowman\"\", \"\"email\"\": \"\"brittanyjohnson@exa\",397,None,,,\"[\"\"art\"\", \"\"trouble\"\", \"\"human\"\", \"\"main\"\"]\",,arXiv:2022.58622,,,,,10.2881/liBg,Cell,2022,Configurable discrete encoding\r\n\"If offer democratic their mind thousand why relationship. A indeed order natural yourself friend.\nGr\",\"[{\"\"name\"\": \"\"Susan Vargas\"\", \"\"affiliation\"\": \"\"Williams-Shaw\"\", \"\"email\"\": \"\"michaelchavez@example.net\"\"}, {\"\"n\",230,None,,,\"[\"\"prevent\"\", \"\"benefit\"\", \"\"chair\"\", \"\"tax\"\"]\",,arXiv:2024.62198,,,,,10.6937/CPpa,Science,2020,Mandatory grid-enabled approach\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nerror_id = \"bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\"\ntimestamp = \"2026-01-07T13:51:27.288021\"\nlevel = \"CRITICAL\"\nservice = \"reasonService\"\nmessage = \"Recent security meet three Congress find seat.\"\nstack_trace = [ \"at current.py:236\", \"at your.py:146\", \"at without.py:194\",]\n\n[context]\nuser_id = \"fc408ea4-9df4-4d81-87da-9d63d4bc8744\"\nrequest_id = \"d8c95012-b6bb-42d7-8cb4-e57e77353a5b\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\ntimestamp: '2026-01-07T13:51:27.288021'\nlevel: CRITICAL\nservice: reasonService\nmessage: Recent security meet three Congress find seat.\nstack_trace:\n- at current.py:236\n- at your.py:146\n- at without.py:194\ncontext:\n  user_id: fc408ea4-9df4-4d81-87da-9d63d4bc8744\n  request_id: d8c95012-b6bb-42d7-8cb4-e57e77353a5b\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>385c5830-2f90-42e3-ae2f-53faace4448a</error_id>\n<timestamp>2026-01-07T13:51:26.292009</timestamp>\n<level>CRITICAL</level>\n<service>almostService</service>\n<message>People party agreement mother that investment approach.</message>\n<stack_trace>at fight.py:491</stack_trace>\n<stack_trace>at city.py:369</stack_trace>\n<stack_trace>at statement.py:378</stack_trace>\n<context>\n<user_id>264dfcb4-39aa-45b1-999f-d115795470f4</user_id>\n<request_id>4c579c9e-314d-44f6-9e5a-9c3c95ea5e82</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"385c5830-2f90-42e3-ae2f-53faace4448a\",\n  \"timestamp\": \"2026-01-07T13:51:26.292009\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"almostService\",\n  \"message\": \"People party agreement mother that investment approach.\",\n  \"stack_trace\": [\n    \"at fight.py:491\",\n    \"at city.py:369\",\n    \"at statement.py:378\"\n  ],\n  \"context\": {\n    \"user_id\": \"264dfcb4-39aa-45b1-999f-d115795470f4\",\n    \"request_id\": \"4c579c9e-314d-44f6-9e5a-9c3c95ea5e82\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-670804\"\ntitle = \"Effect of yes on man\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 61.01\nendpoint = 26.37\np_value = 0.4563\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 48.45\nendpoint = 55.05\np_value = 0.1611\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 93.29\nendpoint = 30.77\np_value = 0.4907\n\n[methodology]\ndesign = \"observational\"\nsample_size = 190\nduration_days = 84\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.40808</paper_id>\n<title>Versatile systematic infrastructure</title>\n<authors>\n<name>Andres Compton</name>\n<affiliation>Knight, Wyatt and Mccarty</affiliation>\n<email>lawsontammy@example.org</email>\n</authors>\n<authors>\n<name>Michael Mcgrath</name>\n<affiliation>Garcia, Davis and Caldwell</affiliation>\n<email>madison05@example.net</email>\n</authors>\n<abstract>Face direction whom party go follow. According meet pick hit environmental resource glass.</abstract>\n<keywords>service</keywords>\n<keywords>walk</keywords>\n<keywords>although</keywords>\n<keywords>several</keywords>\n<keywords>against</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1740/TuDe</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Bautista, Saunders and Delgado</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.40808\",\n  \"title\": \"Versatile systematic infrastructure\",\n  \"authors\": [\n    {\n      \"name\": \"Andres Compton\",\n      \"affiliation\": \"Knight, Wyatt and Mccarty\",\n      \"email\": \"lawsontammy@example.org\"\n    },\n    {\n      \"name\": \"Michael Mcgrath\",\n      \"affiliation\": \"Garcia, Davis and Caldwell\",\n      \"email\": \"madison05@example.net\"\n    }\n  ],\n  \"abstract\": \"Face direction whom party go follow. According meet pick hit environmental resource glass.\",\n  \"keywords\": [\n    \"service\",\n    \"walk\",\n    \"although\",\n    \"several\",\n    \"against\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1740/TuDe\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Bautista, Saunders and Delgado\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 9864225,\n  \"units_sold\": 74086,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 906832,\n      \"growth\": -8.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2437365,\n      \"growth\": 2.73\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 420063\n    },\n    {\n      \"sku\": \"SKU-9360\",\n      \"sales\": 149398\n    },\n    {\n      \"sku\": \"SKU-9440\",\n      \"sales\": 105905\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>9864225</total_revenue>\n<units_sold>74086</units_sold>\n<channels>\n<name>online</name>\n<revenue>906832</revenue>\n<growth>-8.93</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2437365</revenue>\n<growth>2.73</growth>\n</channels>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>420063</sales>\n</top_products>\n<top_products>\n<sku>SKU-9360</sku>\n<sales>149398</sales>\n</top_products>\n<top_products>\n<sku>SKU-9440</sku>\n<sales>105905</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal = 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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-4278484\",\n  \"patient_mrn\": \"MRN-990980\",\n  \"prescriber\": \"Andrew Kelly\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-2281\ncode: NHA456\ntitle: Profit-focused mission-critical hardware 101\ninstructor: Natalie Middleton\ncredits: 3\nterm: Spring 2024\nschedule:\n- week: 1\n  topic: its\n- week: 2\n  topic: attorney\n- week: 3\n  topic: decision\n- week: 4\n  topic: every\n- week: 5\n  topic: direction\n- week: 6\n  topic: player\n- week: 7\n  topic: city\n- week: 8\n  topic: everybody\n- week: 9\n  topic: throw\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nrating: 4.54\nstock: 843\nspecs:\n  weight_kg: 34.7\n  dimensions: 61x86x65cm\ncurrency: USD\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from YAML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,currency,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,specs_dimensions,specs_weight_kg,stock,title\r\n,,,USD,,,,,,,4.54,61x86x65cm,34.7,843,\r\n\"Subject him card person actually blood. Election design both paper raise.\nLeft resource receive give\",\"[{\"\"name\"\": \"\"Kevin Lucas\"\", \"\"affiliation\"\": \"\"Davis, Mcmillan and Salazar\"\", \"\"email\"\": \"\"smithdwayne@example\",459,,Pollard-Mullins,\"[\"\"buy\"\", \"\"base\"\", \"\"tend\"\", \"\"itself\"\"]\",arXiv:2020.50698,10.4080/AUir,Science,2021,,,,,Advanced stable Local Area Network\r\nSmile lead reality nation movement. Rise consumer enter old produce ball resource one. Phone debate ,\"[{\"\"name\"\": \"\"Karl Ryan\"\", \"\"affiliation\"\": \"\"Lester, Gross and Bradley\"\", \"\"email\"\": \"\"vhopkins@example.org\"\"},\",82,,Gaines Group,\"[\"\"range\"\", \"\"range\"\", \"\"stuff\"\", \"\"charge\"\"]\",arXiv:2020.33100,10.2477/DkAw,Science,2023,,,,,Cross-group analyzing budgetary management\r\nField simple agency throw family again. Military pattern with war meeting list nearly. Act against v,\"[{\"\"name\"\": \"\"Amy Mcmahon\"\", \"\"affiliation\"\": \"\"Burns Ltd\"\", \"\"email\"\": \"\"craneapril@example.com\"\"}, {\"\"name\"\": \"\"D\",491,,Blair-Fleming,\"[\"\"just\"\", \"\"open\"\", \"\"focus\"\", \"\"course\"\", \"\"live\"\"]\",arXiv:2024.16691,10.4328/EKHv,Science,2023,,,,,Self-enabling foreground definition\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-125540</product_id>\n<name>Universal eco-centric approach</name>\n<category>books</category>\n<price>208.68</price>\n<currency>USD</currency>\n<stock>879</stock>\n<is_available>True</is_available>\n<rating>4.53</rating>\n<reviews>925</reviews>\n<specs>\n<weight_kg>20.35</weight_kg>\n<dimensions>45x91x83cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<total_score>97</total_score>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<percentage>78.32</percentage>\n<course_id>CRS-4089</course_id>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"total_score\": 97,\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"percentage\": 78.32,\n  \"course_id\": \"CRS-4089\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"assessment_id\": \"ASMT-485879\",\n  \"student_id\": \"STU-284737\",\n  \"course_id\": \"CRS-1053\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 64.04,\n  \"grade\": \"A\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-485879</assessment_id>\n<student_id>STU-284737</student_id>\n<course_id>CRS-1053</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>64.04</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-353280\"\nstudent_id = \"STU-259399\"\ncourse_id = \"CRS-9241\"\ntype = \"quiz\"\ndate = \"2026-01-05\"\ntotal_score = 68\npercentage = 88.23\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1384784</review_id>\n<product_id>PROD-499626</product_id>\n<user_id>4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9</user_id>\n<rating>1</rating>\n<title>Respond out five.</title>\n<content>I stay little Democrat money where stop. Than development activity.\nAlong ahead their standard early nor reason. Fight with minute learn soldier understand.</content>\n<date>2026-01-05</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>94</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-79156891\"\ncustomer_id = \"5450ecc9-30b8-498f-a527-04ec3de16dd8\"\ntimestamp = \"2026-01-07T13:51:26.258900\"\nsubtotal = 258.62\ntax = 22.79\ntotal = 1713.37\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-81880\"\nqty = 4\nprice = 401.7\n\n[[items]]\nsku = \"SKU-99718\"\nqty = 5\nprice = 334.37\n\n[[items]]\nsku = \"SKU-65882\"\nqty = 3\nprice = 292.8\n\n[[items]]\nsku = \"SKU-88201\"\nqty = 2\nprice = 114.91\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"March 2022\"\ntotal_revenue = 6503980\nunits_sold = 7670\n[[channels]]\nname = \"retail\"\nrevenue = 3279241\ngrowth = 22.76\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1469640\ngrowth = 16.07\n\n[[top_products]]\nsku = \"SKU-8081\"\nsales = 71747\n\n[[top_products]]\nsku = \"SKU-8211\"\nsales = 475825\n\n[[top_products]]\nsku = \"SKU-4565\"\nsales = 485553\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-226686,Regina Martin,RX-1565761\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-596334,Faith Jackson,RX-7485145\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-336641,Jon Hogan,RX-6914611\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-628797,Michael Price,RX-9410524\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-585011,Luis Harrison,RX-4229300\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n,,,,\"[\"\"#population\"\", \"\"#during\"\", \"\"#executive\"\", \"\"#house\"\"]\",,POST-59844758,2026-01-07T13:51:27.358144,,\r\nHave camera language interview attorney. Quite seem both method fire experience agreement outside. C,362,1067,35,\"[\"\"#remember\"\", \"\"#environmental\"\", \"\"#try\"\"]\",instagram,POST-27985612,2026-01-07T13:51:27.359048,258fc08c-2f0f-4d30-8ce9-f5afbd32e053,christophersutton\r\nMeeting more during such since. Street now again who threat accept.,134,8962,651,\"[\"\"#company\"\", \"\"#practice\"\"]\",instagram,POST-65811858,2026-01-07T13:51:27.359420,352f0ff0-ee47-44c6-95dd-9f9070686b9b,dunnpatricia\r\n\"Different treat stop poor so.\nAround race all at. Ball senior term rise finish seat. Anyone consumer\",305,850,408,\"[\"\"#ask\"\", \"\"#seven\"\"]\",twitter,POST-99697777,2026-01-07T13:51:27.359810,7438815d-32e4-4816-bb9e-b8a1086edd28,pauladominguez\r\nBring concern business coach. Military station card identify commercial. Soldier education off no.,261,8912,635,\"[\"\"#music\"\", \"\"#include\"\"]\",facebook,POST-75494712,2026-01-07T13:51:27.360069,175dc618-67ba-40bc-9d28-dad4781ac904,nicholas45\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-1417017\",\n  \"product_id\": \"PROD-561113\",\n  \"user_id\": \"58368812-841f-4b65-a63f-bf59f81a4b62\",\n  \"rating\": 2,\n  \"title\": \"Miss entire student source like impact.\",\n  \"content\": \"Particularly myself court bring vote business boy lawyer. Economy name wonder thank a charge. Successful value site thus. Exist election about task reason.\",\n  \"date\": \"2026-01-04\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 17\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1417017</review_id>\n<product_id>PROD-561113</product_id>\n<user_id>58368812-841f-4b65-a63f-bf59f81a4b62</user_id>\n<rating>2</rating>\n<title>Miss entire student source like impact.</title>\n<content>Particularly myself court bring vote business boy lawyer. Economy name wonder thank a charge. Successful value site thus. Exist election about task reason.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>17</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-291572\",\n  \"parties\": [\n    {\n      \"name\": \"Smith and Sons\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Avila-Campbell\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-03\",\n  \"term_months\": 47,\n  \"value\": 297446,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need clinical note details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J14\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K93\"\"}, {\"\"problem\"\": \"\"hype\",headache,2026-01-03,CN-9436830,56,M,MRN-199885,148/67,107,102.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I21\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I39\"\"}, {\"\"problem\",headache,2026-01-05,CN-6657962,61,M,MRN-898326,138/62,71,99.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K35\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I40\"\"}]\",headache,2026-01-02,CN-6618478,19,M,MRN-951392,132/75,61,102.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K44\"\"}]\",chest pain,2026-01-04,CN-5808780,35,M,MRN-145770,169/107,103,99.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K26\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K65\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-04,CN-6806477,64,M,MRN-192737,97/99,112,102.8\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-685161\nname: Balanced demand-driven capacity\ncategory: clothing\nprice: 554.83\ncurrency: USD\nstock: 872\nis_available: true\nrating: 3.32\nreviews: 212\nspecs:\n  weight_kg: 39.83\n  dimensions: 86x88x63cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.67497\ntitle: Open-architected logistical paradigm\nauthors:\n- name: William Martin\n  affiliation: George, Nichols and Johnston\n  email: crystal73@example.org\n- name: Thomas Boyer\n  affiliation: Powers, Miller and Johnston\n  email: xhardin@example.com\n- name: Tanner Coffey\n  affiliation: Perez, Marks and Thomas\n  email: tracywilliams@example.com\nabstract: Yes eat up himself consumer. Technology just debate bill live oil.\nkeywords:\n- each\n- 'on'\n- perhaps\npublication:\n  venue: Nature\n  year: 2022\n  doi: 10.2923/Xnio\ncitations: 265\nfunding_source: Smith Ltd\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-734376</experiment_id>\n<title>Effect of probably on skin</title>\n<methodology>\n<design>cohort</design>\n<sample_size>800</sample_size>\n<duration_days>273</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>94.92</baseline>\n<endpoint>99.12</endpoint>\n<p_value>0.3163</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.8</baseline>\n<endpoint>81.58</endpoint>\n<p_value>0.1627</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>31.59</baseline>\n<endpoint>36.02</endpoint>\n<p_value>0.4619</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.54</baseline>\n<endpoint>59.85</endpoint>\n<p_value>0.3654</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6709459\npatient:\n  mrn: MRN-104418\n  age: 50\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: fever\nvitals:\n  bp: 143/96\n  hr: 69\n  temp_f: 101.3\nassessment:\n- problem: diabetes\n  icd10: J90\n- problem: hypertension\n  icd10: I22\n- problem: hypertension\n  icd10: K97\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I65\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J29\"\"}]\",fever,2026-01-01,CN-2341842,85,F,MRN-739833,174/60,60,98.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J18\"\"}]\",chest pain,2026-01-02,CN-8863909,35,F,MRN-888837,159/66,106,98.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I59\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J29\"\"}]\",chest pain,2026-01-04,CN-1566893,50,F,MRN-182318,95/72,112,97.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K82\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I77\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-02,CN-1373235,58,F,MRN-292528,130/109,86,98.9\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-90196326</post_id>\n<platform>facebook</platform>\n<user_id>146c178d-e548-4357-8cd4-e8464cea2f9b</user_id>\n<username>kevincunningham</username>\n<content>Three would identify method across operation opportunity.\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\nCentral thus simple thousand morning.</content>\n<timestamp>2026-01-07T13:51:26.698310</timestamp>\n<hashtags>#pay</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>458</likes>\n<shares>383</shares>\n<comments>63</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-90196326\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"146c178d-e548-4357-8cd4-e8464cea2f9b\",\n  \"username\": \"kevincunningham\",\n  \"content\": \"Three would identify method across operation opportunity.\\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\\nCentral thus simple thousand morning.\",\n  \"timestamp\": \"2026-01-07T13:51:26.698310\",\n  \"hashtags\": [\n    \"#pay\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 458,\n    \"shares\": 383,\n    \"comments\": 63\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate error log data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,acbfd7fd-a4ab-431b-a098-ac4537826f14,cedcf075-a01b-42e9-acdc-a300ea843992,03dcbba2-8070-483e-a807-51e4c6301bf5,,,WARNING,Feel garden dark.,,,,,stockService,\"[\"\"at another.py:304\"\", \"\"at happy.py:331\"\", \"\"at record.py:415\"\"]\",2026-01-07T13:51:27.875594,\r\nNice baby protect fill tell. Through word game exist start medical fire.,\"[{\"\"name\"\": \"\"Brittany Lara\"\", \"\"affiliation\"\": \"\"Glover and Sons\"\", \"\"email\"\": \"\"griffithbianca@example.com\"\"},\",17,,,,None,\"[\"\"yes\"\", \"\"pick\"\", \"\"education\"\", \"\"should\"\", \"\"couple\"\"]\",,,arXiv:2020.67468,10.9745/viHM,Science,2021,,,,Team-oriented exuding capacity\r\nShake employee listen network red blue. Nation thing with across. Carry share sometimes analysis ide,\"[{\"\"name\"\": \"\"Jeffrey Brown\"\", \"\"affiliation\"\": \"\"Crawford, Caldwell and Robertson\"\", \"\"email\"\": \"\"desireekane@\",69,,,,Todd-Nelson,\"[\"\"same\"\", \"\"human\"\", \"\"as\"\"]\",,,arXiv:2021.29416,10.5469/bkUT,Nature,2023,,,,Diverse system-worthy website\r\nSign minute price read spend. Like me offer shake. Look huge brother agent writer development.,\"[{\"\"name\"\": \"\"Daniel Pitts\"\", \"\"affiliation\"\": \"\"Ferrell-Banks\"\", \"\"email\"\": \"\"zachary40@example.com\"\"}, {\"\"name\"\"\",10,,,,\"Garcia, Davis and Stanton\",\"[\"\"better\"\", \"\"president\"\", \"\"check\"\"]\",,,arXiv:2022.20309,10.3398/CFZE,Nature,2020,,,,Reduced even-keeled budgetary management\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need product listing details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrating: 1.53\nname: Synergistic demand-driven solution\nspecs:\n  weight_kg: 21.31\n  dimensions: 30x85x30cm\ncategory: books\nreviews: 428\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from CSV to XML:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 931216, \"\"growth\"\": 10.96}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1224016, \"\"\",,,,,June 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-1474\"\", \"\"sales\"\": 19268}, {\"\"sku\"\": \"\"SKU-3289\"\", \"\"sales\"\": 31397}, {\"\"sku\"\": \"\"SKU-4950\"\", \"\"sale\",7287772,8566\r\nAuthor pattern successful better current. Believe both education customer unit from. During conditio,\"[{\"\"name\"\": \"\"Tyler Anderson\"\", \"\"affiliation\"\": \"\"Martinez-Garcia\"\", \"\"email\"\": \"\"sharon14@example.org\"\"}, {\"\"na\",,268,Morrison-Velasquez,\"[\"\"note\"\", \"\"economic\"\", \"\"offer\"\", \"\"nearly\"\", \"\"present\"\"]\",arXiv:2024.24675,,10.8087/wqIN,Science,2024,Organized high-level service-desk,,,\r\nWell identify past home. Continue throw authority property star role study. True once always out.,\"[{\"\"name\"\": \"\"Jacqueline Castaneda\"\", \"\"affiliation\"\": \"\"Howard, Allen and Mckee\"\", \"\"email\"\": \"\"hudsonkathleen\",,389,\"Swanson, Martin and Garcia\",\"[\"\"section\"\", \"\"training\"\", \"\"entire\"\"]\",arXiv:2024.53707,,10.7036/sokD,Science,2021,Reactive demand-driven success,,,\r\n\"Prevent article price international language sister trial. Deal do attorney your set.\nStrong offer s\",\"[{\"\"name\"\": \"\"Stephanie Ryan\"\", \"\"affiliation\"\": \"\"Thomas-Smith\"\", \"\"email\"\": \"\"thomas95@example.net\"\"}, {\"\"name\"\"\",,58,None,\"[\"\"pressure\"\", \"\"consumer\"\", \"\"capital\"\", \"\"social\"\", \"\"off\"\"]\",arXiv:2024.57510,,10.2618/iyDm,Cell,2024,Switchable local website,,,\r\nOk reveal meeting large recently term. Pressure base rule expert west enter.,\"[{\"\"name\"\": \"\"John Dorsey\"\", \"\"affiliation\"\": \"\"Hubbard-Murphy\"\", \"\"email\"\": \"\"gbrown@example.net\"\"}, {\"\"name\"\": \"\"\",,314,None,\"[\"\"choose\"\", \"\"knowledge\"\", \"\"no\"\"]\",arXiv:2023.95513,,10.4574/ulcy,Nature,2020,Streamlined demand-driven encryption,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2022</period>\n<total_revenue>7287772</total_revenue>\n<units_sold>8566</units_sold>\n<channels>\n<name>retail</name>\n<revenue>931216</revenue>\n<growth>10.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1224016</revenue>\n<growth>31.92</growth>\n</channels>\n<top_products>\n<sku>SKU-1474</sku>\n<sales>19268</sales>\n</top_products>\n<top_products>\n<sku>SKU-3289</sku>\n<sales>31397</sales>\n</top_products>\n<top_products>\n<sku>SKU-4950</sku>\n<sales>322920</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3366717,Linda Clark,\"Anything music blood how public to. Even student idea piece if. Whom phone rich long.\nLook memory he\",Integrated bi-directional complexity,2026-01-07T13:19:20.433040,Tech,1143,\"[\"\"necessary\"\", \"\"listen\"\", \"\"employee\"\", \"\"here\"\"]\",75939\r\nART-8466498,Bobby Kelly,\"Maybe white between teacher without reduce sit. Happy seem edge result happy network.\nPlace even par\",Advanced 3rdgeneration data-warehouse,2026-01-05T07:24:30.511933,Tech,1249,\"[\"\"concern\"\", \"\"effort\"\", \"\"always\"\", \"\"sister\"\"]\",6422\r\nART-7588265,Danielle Fitzpatrick,\"Fight court PM paper its far. Loss two these summer.\nMiss though listen know fire experience. Recent\",Ergonomic tangible alliance,2026-01-01T06:37:50.352281,Tech,1983,\"[\"\"particular\"\", \"\"chair\"\", \"\"sure\"\", \"\"none\"\", \"\"parent\"\"]\",94629\r\nART-1970064,Jenny Jenkins,True government just of school second police machine. Democratic professional parent concern the lin,Down-sized 5thgeneration installation,2026-01-02T12:45:50.826581,Tech,2405,\"[\"\"race\"\", \"\"yes\"\", \"\"three\"\"]\",44858\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,content,funding_source,headline,keywords,paper_id,publication_doi,publication_venue,publication_year,published,section,title,views\r\n,,,Capital way what customer unit skill. Arm bar occur article mouth enjoy. Exactly approach mention si,,Vision-oriented analyzing groupware,,,,,,2026-01-03T04:54:27.964292,Business,,73181\r\nCharge public consumer after. Truth name analysis.,\"[{\"\"name\"\": \"\"Douglas Smith\"\", \"\"affiliation\"\": \"\"Green-Romero\"\", \"\"email\"\": \"\"nicole02@example.net\"\"}, {\"\"name\"\":\",36,,Gilbert-Villa,,\"[\"\"policy\"\", \"\"note\"\", \"\"exactly\"\", \"\"kind\"\"]\",arXiv:2021.34382,10.2236/ediB,Cell,2024,,,Sharable zero tolerance extranet,\r\nCommunity gun cup age evidence tree. Parent white manage specific game.,\"[{\"\"name\"\": \"\"Michele Brown MD\"\", \"\"affiliation\"\": \"\"Calhoun, Doyle and Peterson\"\", \"\"email\"\": \"\"millerjonathan\",406,,Sanchez-Hansen,,\"[\"\"color\"\", \"\"strong\"\", \"\"year\"\", \"\"two\"\"]\",arXiv:2022.39341,10.1203/qIoB,Nature,2023,,,Networked 3rdgeneration analyzer,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"patient_mrn\": \"MRN-135092\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 129.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 120.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 147.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ],\n  \"result_id\": \"LAB-9224780\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6953622\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J94\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I96\"\n\n[patient]\nmrn = \"MRN-161704\"\nage = 88\ngender = \"F\"\n\n[vitals]\nbp = \"100/77\"\nhr = 90\ntemp_f = 97.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Organized didactic parallelism,68.12,PROD-110536,1.45,277,33x70x14cm,1.85,153\r\nclothing,USD,True,Open-source logistical groupware,632.55,PROD-778599,2.65,140,11x18x45cm,34.56,706\r\nbooks,USD,True,Grass-roots exuding flexibility,652.52,PROD-159101,2.36,920,44x38x37cm,15.88,76\r\nbooks,USD,True,Open-source solution-oriented encoding,677.43,PROD-428849,1.76,160,23x34x11cm,19.99,453\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-15638187</txn_id>\n<customer_id>242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7</customer_id>\n<timestamp>2026-01-07T13:51:27.047573</timestamp>\n<items>\n<sku>SKU-16950</sku>\n<qty>3</qty>\n<price>120.22</price>\n</items>\n<items>\n<sku>SKU-76122</sku>\n<qty>1</qty>\n<price>377.76</price>\n</items>\n<items>\n<sku>SKU-41194</sku>\n<qty>3</qty>\n<price>254.19</price>\n</items>\n<items>\n<sku>SKU-75246</sku>\n<qty>2</qty>\n<price>418.85</price>\n</items>\n<subtotal>1338.06</subtotal>\n<tax>172.92</tax>\n<total>2048.81</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-15638187\",\n  \"customer_id\": \"242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\",\n  \"timestamp\": \"2026-01-07T13:51:27.047573\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-16950\",\n      \"qty\": 3,\n      \"price\": 120.22\n    },\n    {\n      \"sku\": \"SKU-76122\",\n      \"qty\": 1,\n      \"price\": 377.76\n    },\n    {\n      \"sku\": \"SKU-41194\",\n      \"qty\": 3,\n      \"price\": 254.19\n    },\n    {\n      \"sku\": \"SKU-75246\",\n      \"qty\": 2,\n      \"price\": 418.85\n    }\n  ],\n  \"subtotal\": 1338.06,\n  \"tax\": 172.92,\n  \"total\": 2048.81,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode = \"GHC481\"\nterm = \"Spring 2020\"\ncredits = 4\n[[schedule]]\nweek = 1\ntopic = \"table\"\n\n[[schedule]]\nweek = 2\ntopic = \"team\"\n\n[[schedule]]\nweek = 3\ntopic = \"miss\"\n\n[[schedule]]\nweek = 4\ntopic = \"face\"\n\n[[schedule]]\nweek = 5\ntopic = \"sort\"\n\n[[schedule]]\nweek = 6\ntopic = \"board\"\n\n[[schedule]]\nweek = 7\ntopic = \"effect\"\n\n[[schedule]]\nweek = 8\ntopic = \"still\"\n\n[[schedule]]\nweek = 9\ntopic = \"training\"\n\n[[schedule]]\nweek = 10\ntopic = \"different\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2021\"\ntotal_revenue = 4317671\nunits_sold = 11582\n[[channels]]\nname = \"wholesale\"\nrevenue = 2780960\ngrowth = 22.76\n\n[[channels]]\nname = \"retail\"\nrevenue = 4140341\ngrowth = -9.84\n\n[[top_products]]\nsku = \"SKU-8636\"\nsales = 261407\n\n[[top_products]]\nsku = \"SKU-9950\"\nsales = 107242\n\n[[top_products]]\nsku = \"SKU-8311\"\nsales = 494004\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-884255\"\neffective_date = \"2026-01-05\"\nterm_months = 38\nvalue = 589815\nstatus = \"executed\"\n[[parties]]\nname = \"Bowen Inc\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Campbell, Lewis and Bennett\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-7514\ncode: NOO384\ntitle: Fundamental encompassing database 101\ninstructor: Lori Martinez\ncredits: 4\nterm: Fall 2024\nschedule:\n- week: 1\n  topic: bar\n- week: 2\n  topic: population\n- week: 3\n  topic: thus\n- week: 4\n  topic: manage\n- week: 5\n  topic: purpose\n- week: 6\n  topic: look\n- week: 7\n  topic: nothing\n- week: 8\n  topic: remember\n- week: 9\n  topic: song\n- week: 10\n  topic: ahead\n- week: 11\n  topic: pass\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-93814090\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\",\n  \"username\": \"tonyaguzman\",\n  \"content\": \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\",\n  \"timestamp\": \"2026-01-07T13:51:26.454281\",\n  \"hashtags\": [\n    \"#plan\",\n    \"#area\",\n    \"#foreign\"\n  ],\n  \"engagement\": {\n    \"likes\": 5322,\n    \"shares\": 327,\n    \"comments\": 152\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-93814090</post_id>\n<platform>facebook</platform>\n<user_id>6a4446e9-5537-4ba1-bf03-5db2d36e07b9</user_id>\n<username>tonyaguzman</username>\n<content>Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.</content>\n<timestamp>2026-01-07T13:51:26.454281</timestamp>\n<hashtags>#plan</hashtags>\n<hashtags>#area</hashtags>\n<hashtags>#foreign</hashtags>\n<engagement>\n<likes>5322</likes>\n<shares>327</shares>\n<comments>152</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1234153, \"\"growth\"\": 40.64}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 991509, \"\"\",,,,,November 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-9585\"\", \"\"sales\"\": 30234}, {\"\"sku\"\": \"\"SKU-8072\"\", \"\"sales\"\": 57362}, {\"\"sku\"\": \"\"SKU-4011\"\", \"\"sale\",9138741,89798\r\nDetermine if industry six quite old. Animal could get create.,\"[{\"\"name\"\": \"\"Paul Gilbert\"\", \"\"affiliation\"\": \"\"Francis-Weber\"\", \"\"email\"\": \"\"warrenbradley@example.org\"\"}, {\"\"n\",,18,None,\"[\"\"relate\"\", \"\"worker\"\", \"\"fish\"\", \"\"happen\"\"]\",arXiv:2021.99969,,10.4439/dSZm,Science,2021,Universal composite projection,,,\r\nAmong positive main day time stuff institution hour. Lay religious else of. Key likely growth true d,\"[{\"\"name\"\": \"\"Benjamin Thomas\"\", \"\"affiliation\"\": \"\"Greene, Ramsey and Cruz\"\", \"\"email\"\": \"\"weaveraustin@exampl\",,248,\"Ballard, Molina and Potts\",\"[\"\"impact\"\", \"\"difference\"\", \"\"affect\"\"]\",arXiv:2023.49216,,10.6728/kpfm,Science,2021,Total exuding info-mediaries,,,\r\nPossible oil part rise. Something our cut push future. Middle necessary quality scientist.,\"[{\"\"name\"\": \"\"Rose Robinson\"\", \"\"affiliation\"\": \"\"Callahan, Rodgers and Bird\"\", \"\"email\"\": \"\"cheyenne54@example\",,1,\"Parker, Ryan and Sanders\",\"[\"\"offer\"\", \"\"do\"\", \"\"soon\"\"]\",arXiv:2022.65691,,10.2809/wdkh,Cell,2022,Intuitive system-worthy core,,,\r\nOn hair dinner adult. Situation begin drop case. System administration one story bank.,\"[{\"\"name\"\": \"\"Michael Williams\"\", \"\"affiliation\"\": \"\"Marquez, Murphy and Wood\"\", \"\"email\"\": \"\"perrysteven@examp\",,291,Allen LLC,\"[\"\"others\"\", \"\"national\"\", \"\"people\"\", \"\"candidate\"\", \"\"long\"\"]\",arXiv:2023.62290,,10.9866/XkzR,Cell,2023,Right-sized actuating initiative,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1120026</result_id>\n<patient_mrn>MRN-824701</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>168.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>98.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>137.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-1120026\",\n  \"patient_mrn\": \"MRN-824701\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 168.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 98.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 137.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 107.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-412331,Tammy Adams,RX-2317847\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-273903,Theresa Reyes,RX-7015507\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-457609,Daniel Greer,RX-2779694\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-534897,Stephanie Martinez,RX-4473562\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-481534,Anthony Elliott,RX-6283033\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-2317847</rx_id>\n<patient_mrn>MRN-412331</patient_mrn>\n<prescriber>Tammy Adams</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5911912\nproduct_id: PROD-652506\nuser_id: e81c58cf-1a13-4302-a93a-5e1fbbfd28db\nrating: 3\ntitle: Their husband whole president threat argue.\ncontent: 'Happen member step can deal animal fine. Like among study from book.\n\n  Democratic significant every sport next want. List religious computer rise wrong.'\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 61\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate news article data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-4067367\",\n  \"headline\": \"Polarized human-resource adapter\",\n  \"author\": \"Kristin Larson\",\n  \"published\": \"2026-01-07T00:05:34.405255\",\n  \"section\": \"Business\",\n  \"content\": \"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.\",\n  \"tags\": [\n    \"program\",\n    \"final\",\n    \"computer\",\n    \"live\"\n  ],\n  \"views\": 74807,\n  \"shares\": 3986\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nresult_id: LAB-9548003\npatient_mrn: MRN-322322\norder_date: '2026-01-03'\npanel: CMP\nresults:\n- test: Glucose\n  value: 67.0\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 66.7\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 118.1\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 198.6\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 167.9\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 143.5\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 150.3\n  unit: g/dL\n  flag: low\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CMP,MRN-322322,LAB-9548003,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 67.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-02,CBC,MRN-470224,LAB-4309449,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 84.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 184.9,\"\r\n2026-01-04,CMP,MRN-210418,LAB-6311661,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 78.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.9, \"\"uni\"\r\n2026-01-02,Lipid,MRN-949225,LAB-5947677,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 155.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 85.7, \"\r\n2026-01-03,CMP,MRN-314491,LAB-7337985,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 96.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 8332f894-7969-41dc-b41e-1d31b796cba0\ntimestamp: '2026-01-07T13:51:27.125156'\nlevel: CRITICAL\nservice: imageService\nmessage: Bad prepare able heavy morning.\nstack_trace:\n- at property.py:50\n- at short.py:272\ncontext:\n  user_id: a3de195f-baae-4936-bd72-230b1e266327\n  request_id: 35eb846c-1e2f-4451-a60f-b8ee42943a10\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2022\"\ntotal_revenue = 8986947\nunits_sold = 26171\n[[channels]]\nname = \"retail\"\nrevenue = 2520997\ngrowth = 15.08\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1829099\ngrowth = 31.6\n\n[[top_products]]\nsku = \"SKU-9034\"\nsales = 492680\n\n[[top_products]]\nsku = \"SKU-1573\"\nsales = 29713\n\n[[top_products]]\nsku = \"SKU-5816\"\nsales = 450857\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nQKE428,CRS-8328,3,40,30,30,Sarah Simon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"whole\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"determine\"\"}, {\"\"\",Fall 2022,Decentralized content-based leverage 101\r\nYWC110,CRS-1590,3,40,30,30,Clinton Bennett,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"present\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"pick\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"by\"\"}, {\"\"week\"\":\",Spring 2024,Monitored national installation 101\r\nRNY124,CRS-6195,3,40,30,30,Arthur Stevens,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"relate\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"fall\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"identify\"\"}, {\"\"w\",Fall 2020,Universal tertiary website 101\r\nAPP342,CRS-3835,4,40,30,30,Terri Jenkins,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"never\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"recently\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"safe\"\"}, {\"\"we\",Fall 2020,Automated web-enabled focus group 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-8328\ncode: QKE428\ntitle: Decentralized content-based leverage 101\ninstructor: Sarah Simon\ncredits: 3\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: whole\n- week: 2\n  topic: table\n- week: 3\n  topic: determine\n- week: 4\n  topic: evening\n- week: 5\n  topic: once\n- week: 6\n  topic: some\n- week: 7\n  topic: themselves\n- week: 8\n  topic: table\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2388619</article_id>\n<headline>Switchable tertiary collaboration</headline>\n<author>Paula Martinez</author>\n<published>2026-01-07T02:15:35.006278</published>\n<section>Politics</section>\n<content>Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\nDoor president he always capital.\nBlack democratic heart read name. Professional billion prepare executive meeting sport.</content>\n<tags>hair</tags>\n<tags>democratic</tags>\n<tags>financial</tags>\n<tags>huge</tags>\n<tags>available</tags>\n<views>74003</views>\n<shares>1794</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id = \"ART-2388619\"\nheadline = \"Switchable tertiary collaboration\"\nauthor = \"Paula Martinez\"\npublished = \"2026-01-07T02:15:35.006278\"\nsection = \"Politics\"\ncontent = \"Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\\nDoor president he always capital.\\nBlack democratic heart read name. Professional billion prepare executive meeting sport.\"\ntags = [ \"hair\", \"democratic\", \"financial\", \"huge\", \"available\",]\nviews = 74003\nshares = 1794\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,term,title,total_score\r\n,CRS-7705,,B,,,,,70.84,,,,51\r\nATC265,CRS-1366,3,,40,30,30,Mr. David Williams,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bank\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wish\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"member\"\"}, {\"\"week\"\"\",Spring 2023,Balanced client-driven database 101,\r\nERB215,CRS-7418,3,,40,30,30,Lisa Wheeler,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"ten\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"read\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"where\"\"}, {\"\"week\"\": \",Fall 2022,Programmable motivating projection 101,\r\nSYN230,CRS-2750,3,,40,30,30,Michael Obrien,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"notice\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"front\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"keep\"\"}, {\"\"week\",Fall 2024,Optimized bi-directional groupware 101,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9801838,Jeffrey Gordon,\"Partner energy whose simply half because long. Pattern include thousand care four against.\nScene cen\",Multi-lateral didactic encryption,2026-01-04T05:36:27.140251,Business,4423,\"[\"\"word\"\", \"\"public\"\", \"\"near\"\"]\",26731\r\nART-2768968,Teresa Mueller,\"Up with fast fish. Appear enter financial. Environmental that near sign special.\nUs ball huge citize\",Stand-alone value-added standardization,2026-01-06T23:36:49.876750,Business,3661,\"[\"\"risk\"\", \"\"prepare\"\", \"\"bar\"\", \"\"teacher\"\", \"\"guess\"\"]\",85348\r\nART-2157250,David Scott,Because material what wall owner. Popular blood only pay reflect east behavior. So involve foot resu,Centralized analyzing matrix,2026-01-01T12:21:52.193791,Politics,2869,\"[\"\"new\"\", \"\"type\"\", \"\"increase\"\"]\",16269\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9801838</article_id>\n<headline>Multi-lateral didactic encryption</headline>\n<author>Jeffrey Gordon</author>\n<published>2026-01-04T05:36:27.140251</published>\n<section>Business</section>\n<content>Partner energy whose simply half because long. Pattern include thousand care four against.\nScene center certainly letter already rate among. Do amount account court term same.\nStep usually ground onto study myself.</content>\n<tags>word</tags>\n<tags>public</tags>\n<tags>near</tags>\n<views>26731</views>\n<shares>4423</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-831490\",\n  \"name\": \"Seamless optimal task-force\",\n  \"category\": \"electronics\",\n  \"price\": 975.8,\n  \"currency\": \"USD\",\n  \"stock\": 924,\n  \"is_available\": true,\n  \"rating\": 2.71,\n  \"reviews\": 121,\n  \"specs\": {\n    \"weight_kg\": 17.77,\n    \"dimensions\": \"52x27x46cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-831490</product_id>\n<name>Seamless optimal task-force</name>\n<category>electronics</category>\n<price>975.8</price>\n<currency>USD</currency>\n<stock>924</stock>\n<is_available>True</is_available>\n<rating>2.71</rating>\n<reviews>121</reviews>\n<specs>\n<weight_kg>17.77</weight_kg>\n<dimensions>52x27x46cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1988\ncode: VNO257\ntitle: Fully-configurable tangible Local Area Network 101\ninstructor: Rebecca Watkins\ncredits: 3\nterm: Spring 2022\nschedule:\n- week: 1\n  topic: financial\n- week: 2\n  topic: wait\n- week: 3\n  topic: economic\n- week: 4\n  topic: physical\n- week: 5\n  topic: talk\n- week: 6\n  topic: early\n- week: 7\n  topic: weight\n- week: 8\n  topic: a\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Implemented leadingedge groupware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reveal\": {\n      \"get\": {\n        \"summary\": \"Parent dark five.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Implemented leadingedge groupware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reveal>\n<get>\n<summary>Parent dark five.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reveal>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-46905875\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"2079b341-d50b-4860-ba15-aa28bbe0f5b3\",\n  \"username\": \"xhernandez\",\n  \"content\": \"Serious degree upon late.\\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.\",\n  \"timestamp\": \"2026-01-07T13:51:26.735117\",\n  \"hashtags\": [\n    \"#easy\",\n    \"#miss\"\n  ],\n  \"engagement\": {\n    \"likes\": 6808,\n    \"shares\": 9,\n    \"comments\": 24\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-46905875</post_id>\n<platform>instagram</platform>\n<user_id>2079b341-d50b-4860-ba15-aa28bbe0f5b3</user_id>\n<username>xhernandez</username>\n<content>Serious degree upon late.\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.</content>\n<timestamp>2026-01-07T13:51:26.735117</timestamp>\n<hashtags>#easy</hashtags>\n<hashtags>#miss</hashtags>\n<engagement>\n<likes>6808</likes>\n<shares>9</shares>\n<comments>24</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need lab result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-6817528\npatient_mrn: MRN-230360\norder_date: '2026-01-05'\npanel: CBC\nresults:\n- test: Glucose\n  value: 173.6\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 159.3\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 184.3\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 157.8\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 71.9\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 53.0\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-54622203\nplatform: instagram\nuser_id: 1456e108-0a50-4482-8f1a-b1cb2398a121\nusername: fullersteven\ncontent: 'Card these member kid western growth. Staff draw say early town general.\n  Large break interesting ten against open.\n\n  Any fine power truth. Big like investment simple whatever education.'\ntimestamp: '2026-01-07T13:51:25.504049'\nhashtags:\n- '#deep'\n- '#yes'\n- '#long'\n- '#including'\nengagement:\n  likes: 464\n  shares: 699\n  comments: 294\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-168652\"\ntitle = \"Effect of green on from\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 24.16\nendpoint = 44.82\np_value = 0.0559\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 16.54\nendpoint = 28.48\np_value = 0.2997\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 797\nduration_days = 186\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-482875</assessment_id>\n<student_id>STU-646713</student_id>\n<course_id>CRS-2679</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>62</total_score>\n<percentage>98.87</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-482875\",\n  \"student_id\": \"STU-646713\",\n  \"course_id\": \"CRS-2679\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 98.87,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-723618,RCT,66,152,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 74.84, \"\"endpoint\"\": 20.8, \"\"p_value\"\": 0.0634}, {\"\"metric\"\": \"\"safety\"\"\",Effect of gas on morning\r\nsignificant,EXP-321916,RCT,272,848,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 77.8, \"\"endpoint\"\": 100.0, \"\"p_value\"\": 0.3187}, {\"\"metric\"\": \"\"efficac\",Effect of involve on deal\r\nnon-significant,EXP-509081,RCT,136,895,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 55.48, \"\"endpoint\"\": 79.55, \"\"p_value\"\": 0.1689}, {\"\"metric\"\": \"\"safety\"\",\",Effect of property on law\r\nnon-significant,EXP-663104,RCT,246,122,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 55.47, \"\"endpoint\"\": 84.58, \"\"p_value\"\": 0.2415}, {\"\"metric\"\": \"\"effica\",Effect of bring on building\r\nnon-significant,EXP-442148,RCT,231,943,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 46.12, \"\"endpoint\"\": 46.79, \"\"p_value\"\": 0.1295}, {\"\"metric\"\": \"\"safety\"\",\",Effect of others on town\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9325048,Ms. Amanda Watts,\"Head affect often reality already agreement.\nYourself talk those dog blue water process worry. Door \",Universal solution-oriented task-force,2026-01-06T03:10:45.360353,Sports,1545,\"[\"\"woman\"\", \"\"TV\"\", \"\"sign\"\", \"\"adult\"\"]\",46023\r\nART-5846217,Joseph Barry,\"Impact official tonight research light. Develop agency particularly position could.\nInvolve happy ca\",Future-proofed next generation access,2026-01-04T04:02:34.251203,Tech,4146,\"[\"\"clear\"\", \"\"knowledge\"\", \"\"international\"\", \"\"like\"\", \"\"since\"\"]\",85305\r\nART-6085986,Donna Hunt,\"Trip figure return arm. Bar half couple professional us. Hospital foreign usually.\nNotice again hold\",Stand-alone asymmetric database,2026-01-02T02:44:28.543897,Sports,2965,\"[\"\"there\"\", \"\"include\"\", \"\"political\"\", \"\"others\"\", \"\"either\"\"]\",7674\r\nART-5249395,Kristin Kelly,\"Sport yard pressure west. Soldier total describe.\nPresident training couple no outside tell wait sta\",Persevering encompassing approach,2026-01-02T20:46:17.900224,Sports,4959,\"[\"\"forward\"\", \"\"product\"\", \"\"major\"\", \"\"nature\"\"]\",59013\r\nART-5072709,Ms. Andrea Cortez,Here anyone painting better heart whom different mind. Reflect series fight mention couple Mrs issue,Profit-focused contextually-based hardware,2026-01-06T04:25:59.671552,Politics,795,\"[\"\"meeting\"\", \"\"particular\"\", \"\"all\"\", \"\"according\"\", \"\"station\"\"]\",24384\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output student assessment as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-422317</assessment_id>\n<student_id>STU-280699</student_id>\n<course_id>CRS-7308</course_id>\n<type>exam</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>83.59</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n852e4544-1bd4-44f1-abf0-2ff01b4a4792,\"[{\"\"sku\"\": \"\"SKU-47822\"\", \"\"qty\"\": 3, \"\"price\"\": 237.72}, {\"\"sku\"\": \"\"SKU-38430\"\", \"\"qty\"\": 4, \"\"price\"\": 285.9}, {\"\"\",paypal,408.33,11.32,2026-01-07T13:51:26.835091,1142.29,TXN-13058367\r\n312d0a8a-850b-49f2-b5fc-1642f7ef7816,\"[{\"\"sku\"\": \"\"SKU-56146\"\", \"\"qty\"\": 1, \"\"price\"\": 303.68}, {\"\"sku\"\": \"\"SKU-31005\"\", \"\"qty\"\": 2, \"\"price\"\": 131.41}]\",paypal,115.63,140.04,2026-01-07T13:51:26.836493,416.04,TXN-11753944\r\nd90bd860-0646-4d0f-8e52-de2f605cb816,\"[{\"\"sku\"\": \"\"SKU-34332\"\", \"\"qty\"\": 2, \"\"price\"\": 321.63}, {\"\"sku\"\": \"\"SKU-71411\"\", \"\"qty\"\": 4, \"\"price\"\": 403.08}, {\",credit_card,305.96,12.69,2026-01-07T13:51:26.836572,838.79,TXN-80813209\r\n860464bc-56ef-4b82-b3fe-9a71206431d1,\"[{\"\"sku\"\": \"\"SKU-29236\"\", \"\"qty\"\": 5, \"\"price\"\": 321.99}, {\"\"sku\"\": \"\"SKU-47799\"\", \"\"qty\"\": 1, \"\"price\"\": 452.59}]\",apple_pay,929.41,153.21,2026-01-07T13:51:26.836643,1271.45,TXN-63311511\r\n55a8a69a-3673-4c25-b88c-838fb23266cd,\"[{\"\"sku\"\": \"\"SKU-73631\"\", \"\"qty\"\": 4, \"\"price\"\": 463.03}, {\"\"sku\"\": \"\"SKU-70471\"\", \"\"qty\"\": 2, \"\"price\"\": 327.6}]\",paypal,788.1,127.81,2026-01-07T13:51:26.836753,784.53,TXN-63685633\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I49\"\"}]\",headache,2026-01-02,CN-2589578,40,F,MRN-569575,177/91,118,102.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I27\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I73\"\"}]\",fever,2026-01-05,CN-5348770,88,F,MRN-549732,179/76,67,99.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K80\"\"}]\",headache,2026-01-04,CN-9503434,28,M,MRN-219083,162/104,74,100.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K44\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I56\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-04,CN-2541866,77,F,MRN-149593,134/87,93,98.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I35\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J68\"\"}]\",fever,2026-01-01,CN-5294599,70,F,MRN-449572,112/64,74,98.5\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-5347545\nheadline: Triple-buffered zero administration algorithm\nauthor: Martha Brown\npublished: '2026-01-05T16:28:34.342789'\nsection: Sports\ncontent: 'Have fall sing then fast research break. Bar ready eye medical school might\n  recognize. Nice sometimes impact point white.\n\n  Take many this never ever trip. Specific call according. We argue person federal\n  central each.'\ntags:\n- line\n- 'true'\n- compare\n- for\nviews: 96946\nshares: 1479\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-41210216\ncustomer_id: 59380938-357c-4ae5-aa88-2ceb1bc7b532\ntimestamp: '2026-01-06T09:43:32.112469'\nitems:\n- sku: SKU-36180\n  qty: 2\n  price: 233.08\n- sku: SKU-30422\n  qty: 5\n  price: 50.84\n- sku: SKU-10244\n  qty: 5\n  price: 169.41\n- sku: SKU-94336\n  qty: 1\n  price: 99.26\nsubtotal: 1105.52\ntax: 160.6\ntotal: 2044.99\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-633881\"\ntitle = \"Effect of head on actually\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 34.59\nendpoint = 92.52\np_value = 0.0801\n\n[[results]]\nmetric = \"safety\"\nbaseline = 73.59\nendpoint = 53.09\np_value = 0.0793\n\n[[results]]\nmetric = \"safety\"\nbaseline = 90.67\nendpoint = 80.17\np_value = 0.3855\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 94.34\nendpoint = 11.22\np_value = 0.115\n\n[methodology]\ndesign = \"observational\"\nsample_size = 703\nduration_days = 135\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-98803941\ncustomer_id: a2b1f805-e4ed-4cf7-8d38-3073f5d82c07\ntimestamp: '2026-01-06T09:43:31.512204'\nitems:\n- sku: SKU-89356\n  qty: 4\n  price: 489.43\nsubtotal: 398.66\ntax: 154.77\ntotal: 2022.54\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"8ef553f5-74fa-47eb-bfcb-571b6fa73c35\"\ntimestamp = \"2026-01-07T13:51:27.105544\"\nlevel = \"WARNING\"\nservice = \"radioService\"\nmessage = \"Professional pull soon.\"\nstack_trace = [ \"at eye.py:220\", \"at short.py:148\", \"at the.py:448\",]\n\n[context]\nuser_id = \"162209b9-e3ae-4c7a-af39-f96af44cdcaa\"\nrequest_id = \"a05e806a-f592-4611-8d80-dbe2773bec40\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-86898750\"\nplatform = \"instagram\"\nuser_id = \"a47ec401-ca4e-44b5-afc7-6c2b372f589e\"\nusername = \"dylan00\"\ncontent = \"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.\"\ntimestamp = \"2026-01-07T13:51:25.591017\"\nhashtags = [ \"#kid\", \"#off\", \"#school\", \"#fund\",]\n\n[engagement]\nlikes = 9146\nshares = 205\ncomments = 18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<prescriber>Isaac Howard</prescriber>\n<date>2026-01-03</date>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ],\n  \"prescriber\": \"Isaac Howard\",\n  \"date\": \"2026-01-03\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\nerror_id: fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\ntimestamp: '2026-01-07T13:51:26.554266'\nlevel: ERROR\nservice: heartService\nmessage: Attack candidate in give wish tree.\nstack_trace:\n- at thousand.py:354\n- at forget.py:20\n- at consider.py:392\ncontext:\n  user_id: d753ac0c-8931-4c37-8bd5-01413aaaba41\n  request_id: b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\",\n  \"timestamp\": \"2026-01-07T13:51:26.554266\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"Attack candidate in give wish tree.\",\n  \"stack_trace\": [\n    \"at thousand.py:354\",\n    \"at forget.py:20\",\n    \"at consider.py:392\"\n  ],\n  \"context\": {\n    \"user_id\": \"d753ac0c-8931-4c37-8bd5-01413aaaba41\",\n    \"request_id\": \"b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-718533\"\nstudent_id = \"STU-781568\"\ncourse_id = \"CRS-7994\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 62\npercentage = 88.34\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 14\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9346457</rx_id>\n<patient_mrn>MRN-685856</patient_mrn>\n<prescriber>Thomas Archer</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9346457\",\n  \"patient_mrn\": \"MRN-685856\",\n  \"prescriber\": \"Thomas Archer\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2971879</review_id>\n<product_id>PROD-601177</product_id>\n<user_id>49ec79ac-cc63-409f-8812-a70c492b6835</user_id>\n<rating>3</rating>\n<title>Safe everything country understand subject.</title>\n<content>Explain among above role speech. Hear law enjoy. Lose building fall everything million.\nEast choose however class dark test good contain. Indicate worker mean hot.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>67</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-139463\"\ntitle = \"Effect of quite on arm\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 91.61\nendpoint = 76.9\np_value = 0.4003\n\n[[results]]\nmetric = \"safety\"\nbaseline = 58.96\nendpoint = 23.83\np_value = 0.3437\n\n[[results]]\nmetric = \"safety\"\nbaseline = 23.31\nendpoint = 88.63\np_value = 0.3018\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 371\nduration_days = 284\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1112533, \"\"growth\"\": 2.85}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3150615, \"\"\",,,,,October 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-7795\"\", \"\"sales\"\": 492045}, {\"\"sku\"\": \"\"SKU-5231\"\", \"\"sales\"\": 195976}, {\"\"sku\"\": \"\"SKU-5539\"\", \"\"sa\",4790876,72609\r\nMessage military play director. Game finish set indicate upon computer happy. Meeting anything commo,\"[{\"\"name\"\": \"\"Rebecca Martinez\"\", \"\"affiliation\"\": \"\"Hinton-Sullivan\"\", \"\"email\"\": \"\"jason64@example.net\"\"}, {\"\"n\",,241,\"Lowe, Wheeler and Gilbert\",\"[\"\"must\"\", \"\"attorney\"\", \"\"tree\"\", \"\"away\"\", \"\"line\"\"]\",arXiv:2020.61573,,10.6487/Wsrp,Science,2024,Monitored mission-critical process improvement,,,\r\nFund choice moment as respond land television. Chair continue thank bank consumer group.,\"[{\"\"name\"\": \"\"Peter Smith\"\", \"\"affiliation\"\": \"\"Fitzgerald Inc\"\", \"\"email\"\": \"\"emilybuck@example.org\"\"}, {\"\"name\"\"\",,76,Wolfe-Durham,\"[\"\"enough\"\", \"\"call\"\", \"\"teacher\"\"]\",arXiv:2024.36099,,10.1108/ctTp,Nature,2021,De-engineered didactic secured line,,,\r\nProject star step after understand air. Campaign project yeah mother.,\"[{\"\"name\"\": \"\"Janice Anderson\"\", \"\"affiliation\"\": \"\"Burke, Perry and Reynolds\"\", \"\"email\"\": \"\"sandra31@example.\",,154,\"Howard, Ellis and Castaneda\",\"[\"\"truth\"\", \"\"level\"\", \"\"heart\"\"]\",arXiv:2023.87671,,10.4646/neEK,Cell,2024,Reverse-engineered reciprocal time-frame,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4827299\"\npatient_mrn = \"MRN-871984\"\norder_date = \"2026-01-06\"\npanel = \"Lipid\"\n[[results]]\ntest = \"WBC\"\nvalue = 156.4\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 186.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 134.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 64.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-123472,2026-01-06,\"[{\"\"name\"\": \"\"Palmer-White\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Rodriguez-Moore\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,59,388976\r\nCTR-687289,2026-01-02,\"[{\"\"name\"\": \"\"Bautista-White\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mcknight-Randall\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,59,119035\r\nCTR-882257,2026-01-05,\"[{\"\"name\"\": \"\"Edwards Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Butler-Griffin\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,45,645813\r\nCTR-609332,2026-01-03,\"[{\"\"name\"\": \"\"Taylor and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gordon-Sanchez\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,33,510180\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-485879\",\n  \"student_id\": \"STU-284737\",\n  \"course_id\": \"CRS-1053\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 64.04,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"March 2021\"\ntotal_revenue = 1310906\nunits_sold = 20792\n[[channels]]\nname = \"wholesale\"\nrevenue = 631896\ngrowth = 35.72\n\n[[channels]]\nname = \"online\"\nrevenue = 4650111\ngrowth = 49.5\n\n[[top_products]]\nsku = \"SKU-7247\"\nsales = 385196\n\n[[top_products]]\nsku = \"SKU-6028\"\nsales = 99550\n\n[[top_products]]\nsku = \"SKU-6770\"\nsales = 298378\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-38439045</txn_id>\n<customer_id>39de4165-2950-403a-b7cf-252ec7bafdcc</customer_id>\n<timestamp>2026-01-07T13:51:25.757679</timestamp>\n<items>\n<sku>SKU-68017</sku>\n<qty>5</qty>\n<price>287.63</price>\n</items>\n<items>\n<sku>SKU-13598</sku>\n<qty>1</qty>\n<price>397.9</price>\n</items>\n<items>\n<sku>SKU-25253</sku>\n<qty>4</qty>\n<price>226.78</price>\n</items>\n<items>\n<sku>SKU-92380</sku>\n<qty>1</qty>\n<price>318.47</price>\n</items>\n<subtotal>964.6</subtotal>\n<tax>142.48</tax>\n<total>1270.74</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-38439045\",\n  \"customer_id\": \"39de4165-2950-403a-b7cf-252ec7bafdcc\",\n  \"timestamp\": \"2026-01-07T13:51:25.757679\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-68017\",\n      \"qty\": 5,\n      \"price\": 287.63\n    },\n    {\n      \"sku\": \"SKU-13598\",\n      \"qty\": 1,\n      \"price\": 397.9\n    },\n    {\n      \"sku\": \"SKU-25253\",\n      \"qty\": 4,\n      \"price\": 226.78\n    },\n    {\n      \"sku\": \"SKU-92380\",\n      \"qty\": 1,\n      \"price\": 318.47\n    }\n  ],\n  \"subtotal\": 964.6,\n  \"tax\": 142.48,\n  \"total\": 1270.74,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprescriber = \"Isaac Howard\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn: MRN-119365\norder_date: '2026-01-05'\nresults:\n- test: Glucose\n  value: 134.6\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 69.4\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 85.6\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 69.6\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 79.1\n  unit: g/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,verified_purchase\r\n,,,,,PROD-713270,,REV-4835597,,,,,Country especially hand.,True\r\nelectronics,USD,True,Digitized incremental orchestration,741.69,PROD-889847,3.57,,760,16x100x18cm,26.68,735,,\r\nclothing,USD,True,Triple-buffered bi-directional pricing structure,902.31,PROD-498453,3.58,,393,21x88x85cm,31.16,544,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-877566\"\nstudent_id = \"STU-690678\"\ncourse_id = \"CRS-6706\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 52\npercentage = 97.43\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Intuitive explicit functionalities API\n  version: 1.0.0\npaths:\n  /American:\n    get:\n      summary: Trial coach size rather.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-574681\ntitle: Effect of anyone on society\nmethodology:\n  design: cohort\n  sample_size: 560\n  duration_days: 320\nresults:\n- metric: efficacy\n  baseline: 50.77\n  endpoint: 70.83\n  p_value: 0.3046\n- metric: efficacy\n  baseline: 96.52\n  endpoint: 82.25\n  p_value: 0.0326\n- metric: safety\n  baseline: 43.38\n  endpoint: 72.88\n  p_value: 0.2787\n- metric: safety\n  baseline: 17.71\n  endpoint: 95.37\n  p_value: 0.4542\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Hill-Marsh\"\nticker = \"ZFVR\"\nquarter = \"Q3 2024\"\nrevenue = 46703834\nexpenses = 77071880\nnet_income = 4141173\neps = 8.71\n\n[metrics]\nprofit_margin = 28.84\nroe = 14.06\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Streamlined logistical help-desk API\n  version: 1.0.0\npaths:\n  /grow:\n    get:\n      summary: Will entire deep source history.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9001624</rx_id>\n<patient_mrn>MRN-695608</patient_mrn>\n<prescriber>Stephen Davis</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9001624\",\n  \"patient_mrn\": \"MRN-695608\",\n  \"prescriber\": \"Stephen Davis\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2021.48279\",\n  \"title\": \"Operative systemic definition\",\n  \"authors\": [\n    {\n      \"name\": \"Patricia Owens\",\n      \"affiliation\": \"Pearson, Quinn and Owens\",\n      \"email\": \"christopher41@example.net\"\n    },\n    {\n      \"name\": \"Wayne Boyd\",\n      \"affiliation\": \"Delacruz-Weaver\",\n      \"email\": \"powens@example.net\"\n    },\n    {\n      \"name\": \"Christopher Castillo\",\n      \"affiliation\": \"Lawrence-Caldwell\",\n      \"email\": \"amandacarey@example.com\"\n    }\n  ],\n  \"abstract\": \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\",\n  \"keywords\": [\n    \"month\",\n    \"southern\",\n    \"administration\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1648/XIrv\"\n  },\n  \"citations\": 167,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.48279</paper_id>\n<title>Operative systemic definition</title>\n<authors>\n<name>Patricia Owens</name>\n<affiliation>Pearson, Quinn and Owens</affiliation>\n<email>christopher41@example.net</email>\n</authors>\n<authors>\n<name>Wayne Boyd</name>\n<affiliation>Delacruz-Weaver</affiliation>\n<email>powens@example.net</email>\n</authors>\n<authors>\n<name>Christopher Castillo</name>\n<affiliation>Lawrence-Caldwell</affiliation>\n<email>amandacarey@example.com</email>\n</authors>\n<abstract>Tv wear teacher under doctor. Eight mention month argue amount how voice.</abstract>\n<keywords>month</keywords>\n<keywords>southern</keywords>\n<keywords>administration</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1648/XIrv</doi>\n</publication>\n<citations>167</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Secured intangible initiative API\n  version: 1.0.0\npaths:\n  /whatever:\n    get:\n      summary: None democratic woman time push great a.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-330074\"\ntitle = \"Effect of politics on stop\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 34.54\nendpoint = 53.32\np_value = 0.0487\n\n[[results]]\nmetric = \"safety\"\nbaseline = 10.4\nendpoint = 13.84\np_value = 0.1164\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 78.27\nendpoint = 47.78\np_value = 0.0781\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 328\nduration_days = 247\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Organic analyzing strategy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</similar>\n<get>\n<summary>Natural see lot recently.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//similar>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate news article data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8846154</article_id>\n<headline>Phased bifurcated instruction set</headline>\n<author>Melanie Kennedy</author>\n<published>2026-01-02T14:27:49.190328</published>\n<section>Sports</section>\n<content>Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\nIndeed use send represent leader require. Cup attack instead discuss. Plan with character rule.\nInformation mind company even serve. Experience pattern but certain she design speech.</content>\n<tags>memory</tags>\n<tags>score</tags>\n<tags>game</tags>\n<tags>join</tags>\n<views>47684</views>\n<shares>4081</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-13058367\ncustomer_id: 852e4544-1bd4-44f1-abf0-2ff01b4a4792\ntimestamp: '2026-01-07T13:51:26.835091'\nitems:\n- sku: SKU-47822\n  qty: 3\n  price: 237.72\n- sku: SKU-38430\n  qty: 4\n  price: 285.9\n- sku: SKU-22327\n  qty: 1\n  price: 141.71\nsubtotal: 408.33\ntax: 11.32\ntotal: 1142.29\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-893180\nstudent_id: STU-881633\ncourse_id: CRS-6394\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 10\n  points_possible: 10\n- question: 2\n  points_earned: 8\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 10\n  points_possible: 10\n- question: 9\n  points_earned: 5\n  points_possible: 10\ntotal_score: 98\npercentage: 73.06\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Us board wonder trouble. Up as inside party growth seat. College late direction amount best team.\nFi\",,2026-01-05,21,,,,PROD-380005,3,REV-1681251,,,,,Floor measure may hear dark at.,6ee75bbe-7aec-42b2-b8ce-db908c5fbc3a,True\r\nclothing,,USD,,,True,Expanded responsive secured line,288.5,PROD-674851,1.22,,357,48x49x46cm,48.28,977,,,\r\nelectronics,,USD,,,True,Focused encompassing product,536.72,PROD-770304,4.69,,892,16x37x25cm,13.32,427,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-482875\",\n  \"student_id\": \"STU-646713\",\n  \"course_id\": \"CRS-2679\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 98.87,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-624670\"\nstudent_id = \"STU-934013\"\ncourse_id = \"CRS-7089\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 71\npercentage = 89.45\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"2a52fc1b-775b-4f0d-9bad-8f4f44e2d81f\"\ntimestamp = \"2026-01-07T13:51:25.611338\"\nlevel = \"ERROR\"\nservice = \"typeService\"\nmessage = \"Suggest involve part skill write left participant.\"\nstack_trace = [ \"at risk.py:441\", \"at strategy.py:390\", \"at performance.py:267\", \"at kind.py:265\",]\n\n[context]\nuser_id = \"3651fff2-dc6a-4fe5-a964-ed26913f3e4b\"\nrequest_id = \"f4fc48f0-6374-4e80-b666-89c2abac0904\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-60159725\",\n  \"customer_id\": \"13707a49-23b0-4133-8216-7e83986c9575\",\n  \"timestamp\": \"2026-01-07T13:51:27.689251\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-82899\",\n      \"qty\": 5,\n      \"price\": 298.29\n    },\n    {\n      \"sku\": \"SKU-51515\",\n      \"qty\": 4,\n      \"price\": 343.78\n    },\n    {\n      \"sku\": \"SKU-53336\",\n      \"qty\": 3,\n      \"price\": 488.21\n    },\n    {\n      \"sku\": \"SKU-52517\",\n      \"qty\": 2,\n      \"price\": 291.79\n    }\n  ],\n  \"subtotal\": 1914.1,\n  \"tax\": 175.88,\n  \"total\": 1360.6,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Thompson LLC\nticker: QQLN\nquarter: Q2 2020\nrevenue: 63838743\nexpenses: 967762\nnet_income: 16633381\neps: 0.69\nmetrics:\n  profit_margin: 22.56\n  roe: 23.58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-5855932\npatient_mrn: MRN-921122\nprescriber: Spencer Smith\ndate: '2026-01-05'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need sales analytics details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 288160, \"\"growth\"\": 7.61}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 972482, \"\"gr\",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-7895\"\", \"\"sales\"\": 260304}, {\"\"sku\"\": \"\"SKU-7548\"\", \"\"sales\"\": 56782}, {\"\"sku\"\": \"\"SKU-9159\"\", \"\"sal\",9217350,88369\r\n\"Pay tough very. Rise trial can find.\nAppear focus water others. Part response stock factor. Movie ho\",\"[{\"\"name\"\": \"\"David Vincent\"\", \"\"affiliation\"\": \"\"Ellis LLC\"\", \"\"email\"\": \"\"washingtonmichael@example.org\"\"}, {\"\"\",,107,None,\"[\"\"final\"\", \"\"cell\"\", \"\"involve\"\"]\",arXiv:2020.91438,,10.8841/yHhO,Science,2023,Decentralized exuding info-mediaries,,,\r\nMeeting program pattern. Finally west bill address. Recently cold time last industry have dinner.,\"[{\"\"name\"\": \"\"Roy Hall\"\", \"\"affiliation\"\": \"\"Alexander Inc\"\", \"\"email\"\": \"\"michellesheppard@example.com\"\"}, {\"\"na\",,171,\"Browning, Conway and Tran\",\"[\"\"fish\"\", \"\"high\"\", \"\"fill\"\", \"\"stage\"\"]\",arXiv:2023.83697,,10.7633/AYZQ,Nature,2024,Adaptive fresh-thinking knowledgebase,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Business-focused zero administration encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/teach\": {\n      \"get\": {\n        \"summary\": \"Government trade direction personal reason hundred\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need customer review details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Pretty inside feeling light.\nWorry structure traditional phone.\nManager leave city a without electio\",,2026-01-03,82,,,,PROD-904016,4,REV-5230809,,,,,Cost goal break ask from point traditional.,48e4fc71-c074-4e75-abea-e5757bb1be3b,True\r\nclothing,,USD,,,True,Triple-buffered zero tolerance circuit,894.93,PROD-606353,2.82,,364,86x54x90cm,21.58,987,,,\r\nbooks,,USD,,,True,Universal global structure,876.98,PROD-817984,3.43,,481,23x13x61cm,48.39,388,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Secured well-modulated policy API\"\nversion = \"1.0.0\"\n\n[paths.\"/article\".get]\nsummary = \"During certainly full.\"\n[[paths.\"/article\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/article\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/article\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/article\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/article\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntimestamp: '2026-01-07T13:51:26.818902'\ncontext:\n  user_id: 3a96bf92-d9b7-4f9e-91da-6a15b590d5cf\n  request_id: d8c0cfbc-2ae8-46b8-8db8-ee3a71153dc5\nerror_id: de32926d-7560-4176-8c16-f346784a78af\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-2571416\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I57\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K23\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J92\"\n\n[patient]\nmrn = \"MRN-555681\"\nage = 56\ngender = \"M\"\n\n[vitals]\nbp = \"167/83\"\nhr = 92\ntemp_f = 97.2\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5383313</result_id>\n<patient_mrn>MRN-584871</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>194.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>67.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>195.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>146.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>119.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3682408,Thomas Acevedo,\"Cold trial recognize improve nice between these. Happy herself suggest impact tell easy.\nStart movie\",Decentralized stable neural-net,2026-01-01T11:30:40.673887,Business,1329,\"[\"\"movie\"\", \"\"it\"\", \"\"chance\"\"]\",12438\r\nART-4889709,Deanna Mann,Catch Mr blue soldier. Mr try line between lawyer store. Information open reveal choose piece base y,Integrated transitional instruction set,2026-01-05T15:50:35.466776,Business,745,\"[\"\"table\"\", \"\"leave\"\", \"\"kitchen\"\", \"\"statement\"\", \"\"kitchen\"\"]\",16714\r\nART-2876040,Michael Allen,\"Blue strong team two war scene nice. Hundred deal goal will section.\nBase analysis determine much si\",Profound bandwidth-monitored architecture,2026-01-03T05:09:14.625194,Sports,2956,\"[\"\"base\"\", \"\"economic\"\", \"\"offer\"\", \"\"movie\"\"]\",68794\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>6b141850-4372-44c1-8cf7-fc47780a5017</error_id>\n<timestamp>2026-01-07T13:51:26.727039</timestamp>\n<level>WARNING</level>\n<service>fullService</service>\n<message>Simply human maintain sport.</message>\n<stack_trace>at environmental.py:351</stack_trace>\n<stack_trace>at develop.py:28</stack_trace>\n<stack_trace>at send.py:431</stack_trace>\n<context>\n<user_id>fad7b695-3fb8-4313-ad8d-c2b1d4034196</user_id>\n<request_id>2ca5c81e-d6c8-42a4-9e09-9715e928fe91</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"6b141850-4372-44c1-8cf7-fc47780a5017\",\n  \"timestamp\": \"2026-01-07T13:51:26.727039\",\n  \"level\": \"WARNING\",\n  \"service\": \"fullService\",\n  \"message\": \"Simply human maintain sport.\",\n  \"stack_trace\": [\n    \"at environmental.py:351\",\n    \"at develop.py:28\",\n    \"at send.py:431\"\n  ],\n  \"context\": {\n    \"user_id\": \"fad7b695-3fb8-4313-ad8d-c2b1d4034196\",\n    \"request_id\": \"2ca5c81e-d6c8-42a4-9e09-9715e928fe91\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-239354\",\n  \"name\": \"User-centric tertiary contingency\",\n  \"category\": \"electronics\",\n  \"price\": 998.51,\n  \"currency\": \"USD\",\n  \"stock\": 842,\n  \"is_available\": true,\n  \"rating\": 2.36,\n  \"reviews\": 630,\n  \"specs\": {\n    \"weight_kg\": 0.61,\n    \"dimensions\": \"88x23x10cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need research paper details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.80665\"\nabstract = \"Hour coach blue energy thing better. Language suggest somebody what during pick discover.\"\ncitations = 248\n[[authors]]\nname = \"Randy Nguyen\"\naffiliation = \"Williams LLC\"\nemail = \"chadobrien@example.net\"\n\n[[authors]]\nname = \"Gary Brown\"\naffiliation = \"Oconnor, House and Mcdonald\"\nemail = \"mooreelizabeth@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.9883/sqBt\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nOrtega-Owens,1.51,44591506,5.54,6.32,3197580,Q3 2022,37598920,YLLB\r\nWhite-Olson,7.4,43583851,20.88,6.11,15633315,Q2 2021,7675359,QPRL\r\n\"Obrien, Stafford and Johnson\",3.17,27196822,21.87,10.54,7469164,Q4 2024,79145487,TUNG\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2309770\"\npatient_mrn = \"MRN-380513\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 62.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 141.2\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 75.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 174.6\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 170.1\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nAir young positive history rest account region help. Sell hear lose financial. Mind shoulder deep wo,211,8954,708,\"[\"\"#drop\"\", \"\"#leave\"\", \"\"#technology\"\", \"\"#fish\"\"]\",facebook,POST-43480776,2026-01-06T09:43:31.417084,6e857faf-69fd-4188-b32d-7567a839f60d,fpeterson\r\nCar live nor card. For cut democratic general might true none. Fast lead process upon son voice phon,198,9311,356,\"[\"\"#point\"\", \"\"#quality\"\", \"\"#investment\"\", \"\"#bring\"\"]\",facebook,POST-11991488,2026-01-06T09:43:31.423737,a0637342-295b-4a9b-acba-44c63e189e21,adamsjackie\r\n\"Baby collection lead skin read leader. Site attention thank dream south lay.\nPerhaps require through\",455,6599,457,\"[\"\"#although\"\", \"\"#rock\"\"]\",instagram,POST-92767796,2026-01-06T09:43:31.424369,d744c258-daca-4979-855f-e483a40ddd3f,fmorgan\r\nMiddle reduce value. Past democratic second evening talk information black. Per still never piece bi,414,6119,862,\"[\"\"#little\"\", \"\"#large\"\", \"\"#reality\"\", \"\"#this\"\"]\",facebook,POST-93769689,2026-01-06T09:43:31.428910,44adc860-b330-4772-a07b-2b3ad7ed02ca,qjones\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-744456</assessment_id>\n<student_id>STU-954920</student_id>\n<course_id>CRS-3021</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>97</total_score>\n<percentage>89.67</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-744456\",\n  \"student_id\": \"STU-954920\",\n  \"course_id\": \"CRS-3021\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 97,\n  \"percentage\": 89.67,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>4317671</total_revenue>\n<units_sold>11582</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2780960</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>4140341</revenue>\n<growth>-9.84</growth>\n</channels>\n<top_products>\n<sku>SKU-8636</sku>\n<sales>261407</sales>\n</top_products>\n<top_products>\n<sku>SKU-9950</sku>\n<sales>107242</sales>\n</top_products>\n<top_products>\n<sku>SKU-8311</sku>\n<sales>494004</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nVMZ479,CRS-4765,4,40,30,30,Amy Baker,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"show\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"cut\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"next\"\"}, {\"\"week\"\": 4\",Fall 2022,Exclusive grid-enabled software 101\r\nCNK275,CRS-8724,3,40,30,30,Dustin Beck,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"point\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"model\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"house\"\"}, {\"\"week\",Fall 2021,Multi-channeled client-server data-warehouse 101\r\nQZT211,CRS-1058,4,40,30,30,Michelle Smith,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"statement\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"money\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"arm\"\"}, {\"\"we\",Fall 2020,Optimized asymmetric Internet solution 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate api specification data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/require_get_parameters,paths_/require_get_responses_200_description,paths_/require_get_responses_400_description,paths_/require_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Multi-tiered directional knowledge user API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Suffer kid pull bed decision rest.,,,,\r\nFall decide study beautiful. Mission particularly mind plant serve together attack. Professional fac,\"[{\"\"name\"\": \"\"Chelsea Parker DDS\"\", \"\"affiliation\"\": \"\"Dean, Torres and Brooks\"\", \"\"email\"\": \"\"richardrivera@ex\",1,\"Martinez, Garza and Green\",,,\"[\"\"car\"\", \"\"write\"\", \"\"sell\"\", \"\"stay\"\", \"\"star\"\"]\",,arXiv:2021.30764,,,,,10.6397/FfzO,Cell,2020,Cross-group 24/7 capability\r\nAttack might grow follow fill hand. Sign much between serve will through.,\"[{\"\"name\"\": \"\"Alyssa Marshall\"\", \"\"affiliation\"\": \"\"Wheeler-Brown\"\", \"\"email\"\": \"\"smiddleton@example.org\"\"}, {\"\"n\",309,\"Schwartz, Webb and Humphrey\",,,\"[\"\"movie\"\", \"\"teach\"\", \"\"common\"\", \"\"important\"\"]\",,arXiv:2024.90263,,,,,10.5157/EoIW,Science,2021,Function-based impactful software\r\nNecessary recent condition mind cut. Size cell item or like Democrat. Explain able effort type.,\"[{\"\"name\"\": \"\"Rachel Mack\"\", \"\"affiliation\"\": \"\"Acevedo LLC\"\", \"\"email\"\": \"\"deborah29@example.org\"\"}, {\"\"name\"\": \"\"\",55,Hansen-Hamilton,,,\"[\"\"detail\"\", \"\"fish\"\", \"\"find\"\", \"\"because\"\"]\",,arXiv:2021.26898,,,,,10.2626/rVkO,Cell,2024,Virtual maximized forecast\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nunits_sold = 11543\nperiod = \"June 2021\"\ntotal_revenue = 8223229\n[[channels]]\nname = \"online\"\nrevenue = 1417680\ngrowth = 41.94\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 3176166\ngrowth = 26.78\n\n[[top_products]]\nsku = \"SKU-9002\"\nsales = 412560\n\n[[top_products]]\nsku = \"SKU-3918\"\nsales = 426996\n\n[[top_products]]\nsku = \"SKU-1618\"\nsales = 496165\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.57642</paper_id>\n<title>Organized clear-thinking projection</title>\n<authors>\n<name>Thomas Harrison</name>\n<affiliation>Benjamin, Peterson and James</affiliation>\n<email>martinjoseph@example.com</email>\n</authors>\n<authors>\n<name>Samantha Phillips</name>\n<affiliation>Carpenter Ltd</affiliation>\n<email>hawkinssarah@example.com</email>\n</authors>\n<abstract>Leg third those over. Almost state money hear condition little.\nManager minute writer manager. Walk hand situation similar media back fill huge.</abstract>\n<keywords>decade</keywords>\n<keywords>kitchen</keywords>\n<keywords>discover</keywords>\n<keywords>wide</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.5371/HWME</doi>\n</publication>\n<citations>306</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.57642\",\n  \"title\": \"Organized clear-thinking projection\",\n  \"authors\": [\n    {\n      \"name\": \"Thomas Harrison\",\n      \"affiliation\": \"Benjamin, Peterson and James\",\n      \"email\": \"martinjoseph@example.com\"\n    },\n    {\n      \"name\": \"Samantha Phillips\",\n      \"affiliation\": \"Carpenter Ltd\",\n      \"email\": \"hawkinssarah@example.com\"\n    }\n  ],\n  \"abstract\": \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\",\n  \"keywords\": [\n    \"decade\",\n    \"kitchen\",\n    \"discover\",\n    \"wide\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.5371/HWME\"\n  },\n  \"citations\": 306,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.57642\"\ntitle = \"Organized clear-thinking projection\"\nabstract = \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\"\nkeywords = [ \"decade\", \"kitchen\", \"discover\", \"wide\",]\ncitations = 306\n[[authors]]\nname = \"Thomas Harrison\"\naffiliation = \"Benjamin, Peterson and James\"\nemail = \"martinjoseph@example.com\"\n\n[[authors]]\nname = \"Samantha Phillips\"\naffiliation = \"Carpenter Ltd\"\nemail = \"hawkinssarah@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.5371/HWME\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nCity window data describe address street. Environmental wall shoulder happy artist forget hospital. ,108,2391,751,\"[\"\"#yet\"\", \"\"#listen\"\"]\",instagram,POST-39289028,2026-01-07T13:51:26.862472,a2301bd9-5c11-406a-b2a8-1c1f96bbd31c,rhodessharon\r\n\"Happy around usually cup information. Popular read describe whether soldier.\nAhead Democrat glass he\",308,3155,573,\"[\"\"#impact\"\", \"\"#data\"\", \"\"#recent\"\", \"\"#discuss\"\"]\",twitter,POST-14540052,2026-01-07T13:51:26.863649,b4f05259-aafe-4686-b254-beb458e839e1,charles18\r\n\"Table wait interview stay here skill name environment.\nCertain think at than physical notice finally\",186,5059,638,\"[\"\"#last\"\", \"\"#because\"\"]\",instagram,POST-34972107,2026-01-07T13:51:26.864071,459bbf5f-63ef-4324-8282-88c8e53b015f,wattskelsey\r\n\"Nothing real behavior skill.\nOff agreement allow season factor form worker. National care want compu\",484,1834,934,\"[\"\"#every\"\", \"\"#I\"\", \"\"#show\"\"]\",instagram,POST-34420003,2026-01-07T13:51:26.864442,66fbbc07-f1da-42c5-bf46-b6048cde92dc,parkerronald\r\nEvent accept ever address. Maintain soldier adult debate. Student leave game professional affect ran,335,4511,703,\"[\"\"#water\"\", \"\"#within\"\", \"\"#goal\"\", \"\"#vote\"\"]\",twitter,POST-29427753,2026-01-07T13:51:26.864831,c724647f-0610-4413-b7f6-1e3fefff7f3d,hugheschristopher\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-1521978\",\n  \"product_id\": \"PROD-894495\",\n  \"user_id\": \"0e93d4dc-0d39-4af2-8ec3-d8d1250011b9\",\n  \"rating\": 4,\n  \"title\": \"Great how data open such.\",\n  \"content\": \"City not either situation all along might. Under could expect build member. Fish ready onto white majority.\",\n  \"date\": \"2026-01-05\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 57\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1521978</review_id>\n<product_id>PROD-894495</product_id>\n<user_id>0e93d4dc-0d39-4af2-8ec3-d8d1250011b9</user_id>\n<rating>4</rating>\n<title>Great how data open such.</title>\n<content>City not either situation all along might. Under could expect build member. Fish ready onto white majority.</content>\n<date>2026-01-05</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>57</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nproduct_id = \"PROD-831490\"\nname = \"Seamless optimal task-force\"\ncategory = \"electronics\"\nprice = 975.8\ncurrency = \"USD\"\nstock = 924\nis_available = true\nrating = 2.71\nreviews = 121\n\n[specs]\nweight_kg = 17.77\ndimensions = \"52x27x46cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-831490</product_id>\n<name>Seamless optimal task-force</name>\n<category>electronics</category>\n<price>975.8</price>\n<currency>USD</currency>\n<stock>924</stock>\n<is_available>True</is_available>\n<rating>2.71</rating>\n<reviews>121</reviews>\n<specs>\n<weight_kg>17.77</weight_kg>\n<dimensions>52x27x46cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Truth southern already hit night full. Future short green toward staff development. Region seem almo,,2026-01-02,22,,,,PROD-386333,4,REV-8416723,,,,,Region minute several consumer out clearly confere,2bb68335-5967-4a86-8eae-0783ae2db938,False\r\nelectronics,,USD,,,True,Reduced multi-state methodology,162.55,PROD-399740,4.48,,199,95x65x35cm,23.38,885,,,\r\nelectronics,,USD,,,True,Progressive coherent artificial intelligence,711.32,PROD-642537,4.18,,782,81x86x40cm,23.96,594,,,\r\nelectronics,,USD,,,True,Persistent coherent success,899.58,PROD-712716,1.29,,413,47x68x12cm,49.1,108,,,\r\nelectronics,,USD,,,True,User-friendly multi-state attitude,895.23,PROD-886471,2.98,,118,72x69x92cm,44.88,405,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9279\"\ncode = \"WQT213\"\ntitle = \"Ameliorated 3rdgeneration groupware 101\"\ninstructor = \"Mariah Wilson\"\ncredits = 3\nterm = \"Fall 2020\"\n[[schedule]]\nweek = 1\ntopic = \"together\"\n\n[[schedule]]\nweek = 2\ntopic = \"statement\"\n\n[[schedule]]\nweek = 3\ntopic = \"these\"\n\n[[schedule]]\nweek = 4\ntopic = \"American\"\n\n[[schedule]]\nweek = 5\ntopic = \"read\"\n\n[[schedule]]\nweek = 6\ntopic = \"age\"\n\n[[schedule]]\nweek = 7\ntopic = \"course\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paths\": {\n    \"/population\": {\n      \"get\": {\n        \"summary\": \"Lead room develop man according street century.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Ameliorated radical initiative API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<paths>\n</population>\n<get>\n<summary>Lead room develop man according street century.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//population>\n</paths>\n<info>\n<title>Ameliorated radical initiative API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Optional bottom-line complexity API\"\nversion = \"1.0.0\"\n\n[paths.\"/traditional\".get]\nsummary = \"Discussion then kind hair.\"\n[[paths.\"/traditional\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/traditional\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/traditional\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/traditional\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2021</period>\n<total_revenue>8992427</total_revenue>\n<units_sold>30636</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3169564</revenue>\n<growth>42.35</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>2683860</revenue>\n<growth>36.55</growth>\n</channels>\n<top_products>\n<sku>SKU-9614</sku>\n<sales>412171</sales>\n</top_products>\n<top_products>\n<sku>SKU-7573</sku>\n<sales>203488</sales>\n</top_products>\n<top_products>\n<sku>SKU-4372</sku>\n<sales>55896</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"November 2021\",\n  \"total_revenue\": 8992427,\n  \"units_sold\": 30636,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3169564,\n      \"growth\": 42.35\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2683860,\n      \"growth\": 36.55\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9614\",\n      \"sales\": 412171\n    },\n    {\n      \"sku\": \"SKU-7573\",\n      \"sales\": 203488\n    },\n    {\n      \"sku\": \"SKU-4372\",\n      \"sales\": 55896\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output course syllabus as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Distributed high-level website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/next\": {\n      \"get\": {\n        \"summary\": \"Movie my movie common adult.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Actually oil be defense close.\nThere less best certain cause key miss. Result skill window seek. At \",,2026-01-02,95,,,,PROD-592878,2,REV-7530186,,,,,Discuss system computer recent positive expert lan,038b1466-e45e-4db4-9a51-b55deed8f1c4,False\r\nbooks,,USD,,,True,Monitored mobile benchmark,727.27,PROD-370964,1.93,,708,52x47x33cm,22.68,81,,,\r\nclothing,,USD,,,True,Progressive foreground matrix,129.26,PROD-903988,2.68,,385,74x22x67cm,26.5,542,,,\r\nelectronics,,USD,,,True,De-engineered 3rdgeneration implementation,933.99,PROD-455403,4.33,,779,73x31x66cm,13.11,255,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title,verified_purchase\r\n,,,2026-01-05,,,,,,,1,,True\r\nBlood west why smile. Direction similar too. Finally place politics learn resource edge page.,\"[{\"\"name\"\": \"\"Jeffrey Bailey\"\", \"\"affiliation\"\": \"\"Johnson-Morris\"\", \"\"email\"\": \"\"leejohn@example.org\"\"}, {\"\"name\",105,,Barnett LLC,\"[\"\"treatment\"\", \"\"structure\"\", \"\"hour\"\", \"\"guy\"\"]\",arXiv:2021.42878,10.6425/tcqO,Science,2024,,Adaptive high-level encryption,\r\nReason exactly best thing would even. Threat back front radio land. After I behind Republican wrong.,\"[{\"\"name\"\": \"\"Sherry Cooper\"\", \"\"affiliation\"\": \"\"Rose Inc\"\", \"\"email\"\": \"\"joeferrell@example.com\"\"}, {\"\"name\"\": \"\"\",37,,None,\"[\"\"that\"\", \"\"and\"\", \"\"effort\"\"]\",arXiv:2023.35516,10.8771/mFfB,Nature,2022,,Innovative asymmetric neural-net,\r\n\"May media drug play different. Trade program within hear.\nFormer every price push south kind. Focus \",\"[{\"\"name\"\": \"\"Robert Campbell\"\", \"\"affiliation\"\": \"\"Howard, Roman and Neal\"\", \"\"email\"\": \"\"proberts@example.com\",122,,None,\"[\"\"city\"\", \"\"look\"\", \"\"away\"\", \"\"between\"\"]\",arXiv:2021.24937,10.8988/RkLa,Cell,2020,,Customer-focused needs-based collaboration,\r\nGrowth authority often range than behavior. Child even condition. Put memory threat play.,\"[{\"\"name\"\": \"\"Dr. Tina Thomas DVM\"\", \"\"affiliation\"\": \"\"Daniels-Bird\"\", \"\"email\"\": \"\"aallen@example.org\"\"}, {\"\"na\",106,,Smith and Sons,\"[\"\"might\"\", \"\"maintain\"\", \"\"wrong\"\"]\",arXiv:2020.55753,10.6312/QznF,Cell,2020,,Quality-focused modular migration,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Serious degree upon late.\nPainting throughout direction indicate night. Political business voice str\",24,6808,9,\"[\"\"#easy\"\", \"\"#miss\"\"]\",instagram,POST-46905875,2026-01-07T13:51:26.735117,2079b341-d50b-4860-ba15-aa28bbe0f5b3,xhernandez\r\n\"Office walk worry toward agent base write. Far beautiful significant before.\nList agree job respond.\",28,607,30,\"[\"\"#ago\"\", \"\"#start\"\", \"\"#head\"\", \"\"#can\"\"]\",instagram,POST-73045498,2026-01-07T13:51:26.738121,af2af60b-ef5b-4c0b-8fed-9298a42103ab,qking\r\nRequire main into which. Have almost energy because usually short. Draw thus attorney physical almos,400,4804,359,\"[\"\"#six\"\", \"\"#manager\"\", \"\"#medical\"\", \"\"#travel\"\"]\",instagram,POST-61571242,2026-01-07T13:51:26.738474,adf1086f-f423-4a59-af84-529346f3fcbd,daniel04\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id: POST-46905875\nplatform: instagram\nuser_id: 2079b341-d50b-4860-ba15-aa28bbe0f5b3\nusername: xhernandez\ncontent: 'Serious degree upon late.\n\n  Painting throughout direction indicate night. Political business voice street child.\n  Across between ready. Majority red mission prepare state.'\ntimestamp: '2026-01-07T13:51:26.735117'\nhashtags:\n- '#easy'\n- '#miss'\nengagement:\n  likes: 6808\n  shares: 9\n  comments: 24\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Rodriguez, Sanchez and French\nticker: TOPI\nquarter: Q3 2022\nrevenue: 30596216\nexpenses: 79425858\nnet_income: 10739155\neps: 9.27\nmetrics:\n  profit_margin: 21.79\n  roe: 22.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-23186111\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"85951ac5-a9b8-4154-8edc-693bcde245cf\",\n  \"username\": \"srodriguez\",\n  \"content\": \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\",\n  \"timestamp\": \"2026-01-07T13:51:25.750515\",\n  \"hashtags\": [\n    \"#community\",\n    \"#whatever\"\n  ],\n  \"engagement\": {\n    \"likes\": 4745,\n    \"shares\": 251,\n    \"comments\": 51\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need error log details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: a32c08c4-02d1-40d5-9f0c-2b0633ac28d4\ntimestamp: '2026-01-06T09:43:29.874056'\nlevel: WARNING\nservice: peaceService\nmessage: Market shake respond financial television other company.\nstack_trace:\n- at others.py:318\n- at far.py:433\n- at vote.py:52\n- at money.py:464\ncontext:\n  user_id: 98e27369-6460-45b4-b12f-e462d131a4ae\n  request_id: 798d8b5f-2cf4-47bb-a74b-d98522b2ef7f\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need transaction record details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-79890084\"\ncustomer_id = \"4c9f9f8a-3fb5-41bc-8703-bf6196091515\"\ntimestamp = \"2026-01-06T09:43:29.757714\"\nsubtotal = 788.47\ntax = 5.52\ntotal = 1195.64\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-50400\"\nqty = 4\nprice = 80.89\n\n[[items]]\nsku = \"SKU-85515\"\nqty = 5\nprice = 367.59\n\n[[items]]\nsku = \"SKU-41832\"\nqty = 5\nprice = 178.88\n\n[[items]]\nsku = \"SKU-38315\"\nqty = 3\nprice = 240.63\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 21bf982e-3e24-486f-a8ed-fe9e0227df3b\ntimestamp: '2026-01-07T13:51:27.797574'\nlevel: CRITICAL\nservice: letService\nmessage: Story quite another important.\nstack_trace:\n- at decision.py:100\n- at sing.py:289\n- at long.py:325\n- at special.py:174\ncontext:\n  user_id: 8c36ba55-183c-4481-9cd9-dc049447888c\n  request_id: 089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<prescriber>Isaac Howard</prescriber>\n<date>2026-01-03</date>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,medications,paper_id,prescriber,publication_doi,publication_venue,publication_year,title\r\n,,,2026-01-03,,,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",,Isaac Howard,,,,\r\nGeneration although above offer head. Thing individual listen police. Business already box.,\"[{\"\"name\"\": \"\"Jeffrey Smith\"\", \"\"affiliation\"\": \"\"Johnson, Thompson and Le\"\", \"\"email\"\": \"\"sonya91@example.net\"\"\",191,,None,\"[\"\"than\"\", \"\"pass\"\", \"\"peace\"\"]\",,arXiv:2020.30041,,10.1917/Ctdt,Cell,2021,Object-based next generation open system\r\nBecome know number high feeling. Line Mrs city here say. Plan realize each environmental six.,\"[{\"\"name\"\": \"\"Brandon Hughes\"\", \"\"affiliation\"\": \"\"White PLC\"\", \"\"email\"\": \"\"kristin82@example.org\"\"}, {\"\"name\"\": \",372,,None,\"[\"\"her\"\", \"\"finish\"\", \"\"decade\"\"]\",,arXiv:2021.16892,,10.3630/jXSO,Cell,2020,Phased static standardization\r\nBank building hard person now. Relate article already many individual.,\"[{\"\"name\"\": \"\"Steven Orozco\"\", \"\"affiliation\"\": \"\"Davis-Robles\"\", \"\"email\"\": \"\"wellskelly@example.net\"\"}, {\"\"name\",180,,None,\"[\"\"decade\"\", \"\"example\"\", \"\"food\"\", \"\"green\"\"]\",,arXiv:2024.64378,,10.4689/BPUR,Cell,2020,Function-based even-keeled implementation\r\nService painting room. Hold capital major else relate if. High military whom listen include discuss ,\"[{\"\"name\"\": \"\"Caleb Perez\"\", \"\"affiliation\"\": \"\"Savage-Washington\"\", \"\"email\"\": \"\"leroy85@example.org\"\"}, {\"\"name\",203,,Martin-Barron,\"[\"\"over\"\", \"\"offer\"\", \"\"while\"\"]\",,arXiv:2021.47561,,10.6938/jqbb,Cell,2021,Intuitive human-resource archive\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-9982202\nproduct_id: PROD-452864\nuser_id: 015289de-7f3e-45e2-b1d0-7fe22aff92a9\nrating: 3\ntitle: Example center fill free.\ncontent: North describe old attention usually third. Important wish security ago somebody\n  remain everyone modern. Significant chair place throughout study administration\n  American.\ndate: '2026-01-04'\nverified_purchase: false\nhelpful_votes: 34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.3653/hXNF\"\n  },\n  \"funding_source\": \"Kramer Ltd\",\n  \"title\": \"Configurable bandwidth-monitored strategy\",\n  \"authors\": [\n    {\n      \"name\": \"James Brown\",\n      \"affiliation\": \"Ward-Davidson\",\n      \"email\": \"wilsonkristin@example.org\"\n    },\n    {\n      \"name\": \"Luke Liu\",\n      \"affiliation\": \"Obrien-Huynh\",\n      \"email\": \"jason08@example.org\"\n    },\n    {\n      \"name\": \"Paula Gonzalez\",\n      \"affiliation\": \"Jones-Howell\",\n      \"email\": \"brent41@example.org\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-182997,,\"[{\"\"name\"\": \"\"Brown-Harris\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Soto, Terry and Lewis\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,53,792690\r\nCTR-239540,2026-01-02,\"[{\"\"name\"\": \"\"Welch LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Page PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,12,660857\r\nCTR-191814,2026-01-04,\"[{\"\"name\"\": \"\"Torres PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Davis PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,37,859064\r\nCTR-457009,2026-01-05,\"[{\"\"name\"\": \"\"Garcia PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Estes-Miller\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,25,690854\r\nCTR-161028,2026-01-01,\"[{\"\"name\"\": \"\"Jackson-Miller\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Perez-Smith\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,52,790676\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate research paper data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.67669</paper_id>\n<title>Triple-buffered dedicated knowledgebase</title>\n<authors>\n<name>Julie Mclaughlin</name>\n<affiliation>Andrews Group</affiliation>\n<email>brianna81@example.org</email>\n</authors>\n<authors>\n<name>Peggy Kramer</name>\n<affiliation>Beasley, Edwards and Webb</affiliation>\n<email>susan35@example.com</email>\n</authors>\n<abstract>Account fish possible democratic ok no. Accept short mention guy.\nPlace finish religious mean end success. Travel into music they.</abstract>\n<keywords>thank</keywords>\n<keywords>far</keywords>\n<keywords>fund</keywords>\n<keywords>get</keywords>\n<keywords>role</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1349/JgWc</doi>\n</publication>\n<citations>60</citations>\n<funding_source>Diaz-Salinas</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-852387\nname: Profound logistical array\ncategory: electronics\nprice: 299.46\ncurrency: USD\nstock: 505\nis_available: true\nrating: 2.95\nreviews: 519\nspecs:\n  weight_kg: 6.22\n  dimensions: 16x47x36cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2341842\npatient:\n  mrn: MRN-739833\n  age: 85\n  gender: F\nencounter_date: '2026-01-01'\nchief_complaint: fever\nvitals:\n  bp: 174/60\n  hr: 60\n  temp_f: 98.7\nassessment:\n- problem: diabetes\n  icd10: I65\n- problem: diabetes\n  icd10: J29\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>042db0a1-c9b1-49a9-9d69-5247a8c47159</error_id>\n<timestamp>2026-01-07T13:51:27.377057</timestamp>\n<level>ERROR</level>\n<service>whomService</service>\n<message>Each reality trip red enough tough common.</message>\n<stack_trace>at note.py:398</stack_trace>\n<stack_trace>at purpose.py:452</stack_trace>\n<stack_trace>at onto.py:106</stack_trace>\n<stack_trace>at member.py:439</stack_trace>\n<context>\n<user_id>70c0c786-0e43-42b2-8ec7-e975f39a71f7</user_id>\n<request_id>95ca942a-a33a-413f-b1a1-a21e12fa0f30</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"042db0a1-c9b1-49a9-9d69-5247a8c47159\"\ntimestamp = \"2026-01-07T13:51:27.377057\"\nlevel = \"ERROR\"\nservice = \"whomService\"\nmessage = \"Each reality trip red enough tough common.\"\nstack_trace = [ \"at note.py:398\", \"at purpose.py:452\", \"at onto.py:106\", \"at member.py:439\",]\n\n[context]\nuser_id = \"70c0c786-0e43-42b2-8ec7-e975f39a71f7\"\nrequest_id = \"95ca942a-a33a-413f-b1a1-a21e12fa0f30\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Upgradable 4thgeneration middleware API\n  version: 1.0.0\npaths:\n  /pass:\n    get:\n      summary: Story amount nor bed night get message.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Triple-buffered user-facing approach API\"\nversion = \"1.0.0\"\n\n[paths.\"/agency\".get]\nsummary = \"Writer crime whose enjoy admit go the.\"\n[[paths.\"/agency\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/agency\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/agency\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/agency\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/agency\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-874142,cohort,91,379,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 33.04, \"\"endpoint\"\": 58.85, \"\"p_value\"\": 0.0602}, {\"\"metric\"\": \"\"effica\",Effect of chair on some\r\nnon-significant,EXP-225124,observational,123,798,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 66.22, \"\"endpoint\"\": 13.03, \"\"p_value\"\": 0.3386}, {\"\"metric\"\": \"\"safety\"\",\",Effect of catch on their\r\nnon-significant,EXP-787074,observational,94,817,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 28.19, \"\"endpoint\"\": 59.54, \"\"p_value\"\": 0.3252}, {\"\"metric\"\": \"\"safety\",Effect of while on offer\r\nnon-significant,EXP-440986,cohort,214,877,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 81.17, \"\"endpoint\"\": 16.67, \"\"p_value\"\": 0.1457}, {\"\"metric\"\": \"\"effica\",Effect of focus on around\r\nsignificant,EXP-432079,cohort,349,923,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 19.9, \"\"endpoint\"\": 82.62, \"\"p_value\"\": 0.235}, {\"\"metric\"\": \"\"safety\"\",\",Effect of whose on woman\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-6885629</rx_id>\n<prescriber>John Cook</prescriber>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<date>2026-01-02</date>\n<patient_mrn>MRN-741538</patient_mrn>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-6885629\",\n  \"prescriber\": \"John Cook\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ],\n  \"date\": \"2026-01-02\",\n  \"patient_mrn\": \"MRN-741538\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-2317847\npatient_mrn: MRN-412331\nprescriber: Tammy Adams\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-3684509\npatient_mrn: MRN-644382\nprescriber: Chelsea Henson\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n- name: Metformin\n  dosage: 10mg\n  frequency: TID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Function-based logistical throughput,611.6,PROD-843517,3.59,676,97x59x46cm,0.63,922\r\nbooks,USD,True,Centralized 3rdgeneration framework,675.24,PROD-251333,4.37,392,83x69x66cm,18.32,966\r\nelectronics,USD,True,Optimized neutral attitude,386.44,PROD-787983,3.69,823,48x20x73cm,14.27,888\r\nclothing,USD,True,Total background pricing structure,126.31,PROD-170895,4.33,148,62x57x31cm,43.61,778\r\nbooks,USD,True,Configurable mobile methodology,905.51,PROD-710425,2.69,706,16x47x33cm,22.94,321\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-894483,Caroline Smith,RX-9243634\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-660181,Elizabeth Brown,RX-9340667\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metform\",MRN-656293,Jason Hunter,RX-2781889\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\",MRN-426145,Tony Peterson,RX-1643682\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinop\",MRN-745700,Travis Taylor,RX-9378265\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n39de4165-2950-403a-b7cf-252ec7bafdcc,\"[{\"\"sku\"\": \"\"SKU-68017\"\", \"\"qty\"\": 5, \"\"price\"\": 287.63}, {\"\"sku\"\": \"\"SKU-13598\"\", \"\"qty\"\": 1, \"\"price\"\": 397.9}, {\"\"\",credit_card,964.6,142.48,2026-01-07T13:51:25.757679,1270.74,TXN-38439045\r\n8e15dc93-19b0-4a46-a65b-a0f2975f0da5,\"[{\"\"sku\"\": \"\"SKU-26136\"\", \"\"qty\"\": 1, \"\"price\"\": 479.13}]\",apple_pay,158.49,145.25,2026-01-07T13:51:25.758879,1793.23,TXN-44154413\r\nf3c8b8ca-c61b-44cb-87be-d8bf22380d1b,\"[{\"\"sku\"\": \"\"SKU-65105\"\", \"\"qty\"\": 3, \"\"price\"\": 368.07}, {\"\"sku\"\": \"\"SKU-23963\"\", \"\"qty\"\": 4, \"\"price\"\": 14.41}]\",apple_pay,1566.7,178.05,2026-01-07T13:51:25.758927,1347.17,TXN-20568264\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 249c5a8d-effc-4f5a-9a18-79860cd86eba\ntimestamp: '2026-01-07T13:51:25.844189'\nlevel: CRITICAL\nservice: createService\nmessage: Capital carry as agree member lead one.\nstack_trace:\n- at sign.py:359\n- at college.py:115\n- at try.py:133\ncontext:\n  user_id: e110a198-5d8a-4242-b2e4-6ec6ae49ca80\n  request_id: 939e8b37-2ce6-4ba0-bde6-ca285c8d396c\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3291700,Zachary Benson,\"Table available world end. Sea edge red along approach blue.\nArtist modern that project professional\",Vision-oriented contextually-based encryption,2026-01-02T19:27:10.632486,Politics,2330,\"[\"\"its\"\", \"\"court\"\", \"\"note\"\", \"\"foot\"\", \"\"quality\"\"]\",54756\r\nART-8084378,Cory Lopez,\"Impact once stock country. Point play career course free. The particular party relate claim push.\nTe\",Devolved national moratorium,2026-01-02T13:27:21.911882,Sports,4472,\"[\"\"two\"\", \"\"happy\"\", \"\"top\"\", \"\"PM\"\"]\",79489\r\nART-3136489,Jonathan Reyes,\"Pull away successful take.\nBeautiful perform until writer voice. Share source write see education of\",Optimized human-resource monitoring,2026-01-05T05:05:34.494975,Tech,4753,\"[\"\"political\"\", \"\"memory\"\", \"\"western\"\", \"\"term\"\", \"\"region\"\"]\",59371\r\nART-6360364,Richard Zhang,Whatever power language guess while skin. Somebody bar treatment four poor run. Old mouth together. ,Object-based analyzing hierarchy,2026-01-03T21:56:51.829032,Politics,2440,\"[\"\"month\"\", \"\"capital\"\", \"\"speech\"\", \"\"buy\"\", \"\"worry\"\"]\",29243\r\nART-9088458,Rebecca Smith,Subject also put agree carry however huge west. Real specific difference particular to response. Wit,Digitized global circuit,2026-01-03T14:46:49.159419,Politics,3384,\"[\"\"family\"\", \"\"side\"\", \"\"design\"\", \"\"participant\"\", \"\"toward\"\"]\",90070\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-94493547</post_id>\n<platform>instagram</platform>\n<user_id>ebddd714-2a63-4fd6-985c-fb7fe32db0b4</user_id>\n<username>laura52</username>\n<content>Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\nWhat ok that look past. Budget understand mouth during brother pull type spring.</content>\n<timestamp>2026-01-07T13:51:27.134920</timestamp>\n<hashtags>#red</hashtags>\n<hashtags>#hotel</hashtags>\n<hashtags>#create</hashtags>\n<engagement>\n<likes>8599</likes>\n<shares>93</shares>\n<comments>39</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nProperty political your form stand cup blood. Business later seem sea represent enough relationship ,39,8599,93,\"[\"\"#red\"\", \"\"#hotel\"\", \"\"#create\"\"]\",instagram,POST-94493547,2026-01-07T13:51:27.134920,ebddd714-2a63-4fd6-985c-fb7fe32db0b4,laura52\r\nMind continue week full degree all. Range stuff firm national system myself any. Night effect expect,294,4957,278,\"[\"\"#well\"\", \"\"#that\"\"]\",instagram,POST-87670653,2026-01-07T13:51:27.137327,ff49d413-4fa9-4998-83a7-d890a3a11265,katiedurham\r\n\"Minute sure commercial surface what enter glass. Democrat training lawyer red weight.\nHer stage secu\",325,9984,554,\"[\"\"#identify\"\", \"\"#bad\"\"]\",facebook,POST-24638744,2026-01-07T13:51:27.137610,2e3170f4-9d5c-4162-af15-4739f6dff5af,xhahn\r\n\"Kid interview PM market. Life theory real baby operation experience.\nStaff until control news song b\",106,6541,770,\"[\"\"#compare\"\", \"\"#option\"\", \"\"#attention\"\"]\",instagram,POST-32951188,2026-01-07T13:51:27.137912,37b47f13-44bc-4729-a176-829c5c0a9e33,brittany00\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Visionary eco-centric methodology API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</edge>\n<get>\n<summary>Simple really social range.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//edge>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-93814090</post_id>\n<platform>facebook</platform>\n<user_id>6a4446e9-5537-4ba1-bf03-5db2d36e07b9</user_id>\n<username>tonyaguzman</username>\n<content>Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.</content>\n<timestamp>2026-01-07T13:51:26.454281</timestamp>\n<hashtags>#plan</hashtags>\n<hashtags>#area</hashtags>\n<hashtags>#foreign</hashtags>\n<engagement>\n<likes>5322</likes>\n<shares>327</shares>\n<comments>152</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<rx_id>RX-5523111</rx_id>\n<date>2026-01-01</date>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ],\n  \"rx_id\": \"RX-5523111\",\n  \"date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</somebody>\n<get>\n<summary>Threat common organization project.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//somebody>\n</paths>\n<info>\n<title>Networked system-worthy project API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3169564, \"\"growth\"\": 42.35}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 2683860, \",,,,,November 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-9614\"\", \"\"sales\"\": 412171}, {\"\"sku\"\": \"\"SKU-7573\"\", \"\"sales\"\": 203488}, {\"\"sku\"\": \"\"SKU-4372\"\", \"\"sa\",8992427,30636\r\nHelp prove half both. Oil picture society because option window certain. Take goal black water refle,\"[{\"\"name\"\": \"\"Eric Dawson\"\", \"\"affiliation\"\": \"\"Shields Group\"\", \"\"email\"\": \"\"aaron01@example.org\"\"}, {\"\"name\"\": \"\"\",,281,None,\"[\"\"industry\"\", \"\"itself\"\", \"\"statement\"\"]\",arXiv:2024.53299,,10.2208/cbrJ,Science,2024,Programmable impactful policy,,,\r\n\"Much another view type. Notice before a music trial.\nHim health imagine set southern. Available Mrs \",\"[{\"\"name\"\": \"\"Mrs. Melissa Graham\"\", \"\"affiliation\"\": \"\"Logan, Wheeler and Joyce\"\", \"\"email\"\": \"\"brownmicheal@e\",,238,None,\"[\"\"well\"\", \"\"my\"\", \"\"production\"\", \"\"theory\"\"]\",arXiv:2024.41729,,10.1142/iUkl,Nature,2023,Sharable full-range utilization,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-06</date>\n<patient_mrn>MRN-259808</patient_mrn>\n<rx_id>RX-8539167</rx_id>\n<prescriber>Joseph Griffin</prescriber>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"date\": \"2026-01-06\",\n  \"patient_mrn\": \"MRN-259808\",\n  \"rx_id\": \"RX-8539167\",\n  \"prescriber\": \"Joseph Griffin\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output lab result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4827299</result_id>\n<patient_mrn>MRN-871984</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>156.4</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>186.0</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>134.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>64.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-116167\nparties:\n- name: Bush, Murray and Palmer\n  role: party_a\n- name: Melendez LLC\n  role: party_b\neffective_date: '2026-01-05'\nterm_months: 57\nvalue: 221550\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate contract data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-282674\nparties:\n- name: Khan-Ford\n  role: party_a\n- name: Blankenship, Harvey and Reynolds\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 55\nvalue: 983126\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need experiment result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion: significant\nresults:\n- metric: efficacy\n  baseline: 57.64\n  endpoint: 64.57\n  p_value: 0.2882\n- metric: efficacy\n  baseline: 47.26\n  endpoint: 77.5\n  p_value: 0.021\n- metric: safety\n  baseline: 92.35\n  endpoint: 18.34\n  p_value: 0.4815\n- metric: safety\n  baseline: 93.26\n  endpoint: 73.26\n  p_value: 0.1087\nmethodology:\n  design: observational\n  sample_size: 799\n  duration_days: 300\ntitle: Effect of magazine on discover\nexperiment_id: EXP-617852\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-306159,,CRS-3961,,2026-01-05,B,,,,,63.02,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-646612,,,58,quiz\r\n,ZTA481,CRS-1930,4,,,40,30,30,Tina Smith,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"trial\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"spring\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"eye\"\"}, {\"\"week\"\"\",,,Spring 2021,Re-contextualized incremental application 101,,\r\n,KYT388,CRS-3310,3,,,40,30,30,Jennifer Smith,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"property\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ok\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"significant\"\"}, \",,,Fall 2022,Organized hybrid neural-net 101,,\r\n,XND431,CRS-8633,3,,,40,30,30,Aaron Hall,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"admit\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"Mrs\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"friend\"\"}, {\"\"week\"\"\",,,Fall 2024,Cloned next generation Local Area Network 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-766800\",\n  \"student_id\": \"STU-927295\",\n  \"course_id\": \"CRS-8819\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 99,\n  \"percentage\": 71.71,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,454a35ad-23ee-42a8-9d57-dbf5cedbef74,473e683b-291e-461f-b848-d224b7dcbd8b,ff91c212-6cce-4ac2-978d-0740381882de,,,WARNING,Support red list product forget cut speak.,,,,,drawService,\"[\"\"at girl.py:186\"\", \"\"at hold.py:186\"\"]\",2026-01-07T13:51:27.679071,\r\n\"Training factor money enjoy either music. Heart four down finish. Individual dinner current west.\nHa\",\"[{\"\"name\"\": \"\"Kimberly Simpson\"\", \"\"affiliation\"\": \"\"Johnson-Valdez\"\", \"\"email\"\": \"\"mitchell94@example.com\"\"}, {\",319,,,,Roberts and Sons,\"[\"\"create\"\", \"\"industry\"\", \"\"will\"\"]\",,,arXiv:2020.96901,10.6701/IoSo,Nature,2022,,,,Robust executive paradigm\r\nProduce everybody sit. Response several start star quality serious begin.,\"[{\"\"name\"\": \"\"Wendy Reed\"\", \"\"affiliation\"\": \"\"Adams-Butler\"\", \"\"email\"\": \"\"thomasbaxter@example.org\"\"}, {\"\"name\"\"\",172,,,,\"Sutton, Anderson and Stuart\",\"[\"\"gas\"\", \"\"forward\"\", \"\"hear\"\", \"\"because\"\"]\",,,arXiv:2023.11247,10.1760/Fggq,Cell,2020,,,,Synergized solution-oriented hierarchy\r\nMiss glass yes improve often central. Use career record country.,\"[{\"\"name\"\": \"\"Mary Spencer\"\", \"\"affiliation\"\": \"\"Ramirez and Sons\"\", \"\"email\"\": \"\"benjamin03@example.net\"\"}, {\"\"n\",231,,,,None,\"[\"\"rock\"\", \"\"rise\"\", \"\"majority\"\"]\",,,arXiv:2022.97620,10.9693/VYcW,Cell,2020,,,,Optimized discrete software\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I93\"\"}]\",headache,2026-01-05,CN-5751204,47,M,MRN-566004,160/96,75,102.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I43\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K19\"\"}]\",chest pain,2026-01-03,CN-5247630,18,M,MRN-928754,101/99,65,97.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J13\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I47\"\"}]\",chest pain,2026-01-06,CN-3352178,66,F,MRN-233461,151/80,99,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I62\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I20\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-03,CN-3393992,87,F,MRN-401400,125/88,110,102.5\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-5751204\",\n  \"patient\": {\n    \"mrn\": \"MRN-566004\",\n    \"age\": 47,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"160/96\",\n    \"hr\": 75,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>9864225</total_revenue>\n<units_sold>74086</units_sold>\n<channels>\n<name>online</name>\n<revenue>906832</revenue>\n<growth>-8.93</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2437365</revenue>\n<growth>2.73</growth>\n</channels>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>420063</sales>\n</top_products>\n<top_products>\n<sku>SKU-9360</sku>\n<sales>149398</sales>\n</top_products>\n<top_products>\n<sku>SKU-9440</sku>\n<sales>105905</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-79156891\",\n  \"customer_id\": \"5450ecc9-30b8-498f-a527-04ec3de16dd8\",\n  \"timestamp\": \"2026-01-07T13:51:26.258900\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-81880\",\n      \"qty\": 4,\n      \"price\": 401.7\n    },\n    {\n      \"sku\": \"SKU-99718\",\n      \"qty\": 5,\n      \"price\": 334.37\n    },\n    {\n      \"sku\": \"SKU-65882\",\n      \"qty\": 3,\n      \"price\": 292.8\n    },\n    {\n      \"sku\": \"SKU-88201\",\n      \"qty\": 2,\n      \"price\": 114.91\n    }\n  ],\n  \"subtotal\": 258.62,\n  \"tax\": 22.79,\n  \"total\": 1713.37,\n  \"payment_method\": \"paypal\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-79156891</txn_id>\n<customer_id>5450ecc9-30b8-498f-a527-04ec3de16dd8</customer_id>\n<timestamp>2026-01-07T13:51:26.258900</timestamp>\n<items>\n<sku>SKU-81880</sku>\n<qty>4</qty>\n<price>401.7</price>\n</items>\n<items>\n<sku>SKU-99718</sku>\n<qty>5</qty>\n<price>334.37</price>\n</items>\n<items>\n<sku>SKU-65882</sku>\n<qty>3</qty>\n<price>292.8</price>\n</items>\n<items>\n<sku>SKU-88201</sku>\n<qty>2</qty>\n<price>114.91</price>\n</items>\n<subtotal>258.62</subtotal>\n<tax>22.79</tax>\n<total>1713.37</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-952425,LAB-8958063,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 142.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-01,Lipid,MRN-713052,LAB-3738735,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 110.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 109.3,\"\r\n2026-01-05,Lipid,MRN-706888,LAB-2994829,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 70.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 19\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-15638187\"\ncustomer_id = \"242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\"\ntimestamp = \"2026-01-07T13:51:27.047573\"\nsubtotal = 1338.06\ntax = 172.92\ntotal = 2048.81\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-16950\"\nqty = 3\nprice = 120.22\n\n[[items]]\nsku = \"SKU-76122\"\nqty = 1\nprice = 377.76\n\n[[items]]\nsku = \"SKU-41194\"\nqty = 3\nprice = 254.19\n\n[[items]]\nsku = \"SKU-75246\"\nqty = 2\nprice = 418.85\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-291572\",\n  \"parties\": [\n    {\n      \"name\": \"Smith and Sons\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Avila-Campbell\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-03\",\n  \"term_months\": 47,\n  \"value\": 297446,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Happen member step can deal animal fine. Like among study from book.\nDemocratic significant every sp\",,2026-01-02,61,,,,PROD-652506,3,REV-5911912,,,,,Their husband whole president threat argue.,e81c58cf-1a13-4302-a93a-5e1fbbfd28db,True\r\nbooks,,USD,,,True,Organic explicit parallelism,864.36,PROD-569607,1.27,,28,55x64x65cm,12.43,271,,,\r\nelectronics,,USD,,,True,Stand-alone transitional migration,631.26,PROD-221688,1.66,,836,93x35x90cm,14.81,195,,,\r\nelectronics,,USD,,,True,Optional foreground access,734.09,PROD-909349,1.21,,922,84x89x23cm,21.34,493,,,\r\nbooks,,USD,,,True,User-friendly disintermediate strategy,186.55,PROD-172421,2.66,,247,41x74x11cm,29.08,441,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-8348908\",\n  \"patient\": {\n    \"mrn\": \"MRN-109351\",\n    \"age\": 84,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"157/81\",\n    \"hr\": 101,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K69\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J80\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8348908</note_id>\n<patient>\n<mrn>MRN-109351</mrn>\n<age>84</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>157/81</bp>\n<hr>101</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K69</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J80</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6224145\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I32\"\n\n[patient]\nmrn = \"MRN-560569\"\nage = 88\ngender = \"F\"\n\n[vitals]\nbp = \"119/73\"\nhr = 63\ntemp_f = 100.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1867975, \"\"growth\"\": -2.95}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1947932, \"\"gr\",,,,,February 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-5409\"\", \"\"sales\"\": 492017}, {\"\"sku\"\": \"\"SKU-4816\"\", \"\"sales\"\": 486050}, {\"\"sku\"\": \"\"SKU-9957\"\", \"\"sa\",3108970,70292\r\nRelate social everything. Among against statement between happen coach already. Bill meet lead oppor,\"[{\"\"name\"\": \"\"Andres Spence DVM\"\", \"\"affiliation\"\": \"\"Anderson-King\"\", \"\"email\"\": \"\"vdavis@example.net\"\"}, {\"\"nam\",,386,Newman-Wise,\"[\"\"we\"\", \"\"born\"\", \"\"often\"\"]\",arXiv:2023.45556,,10.8714/UhpU,Cell,2023,Extended uniform workforce,,,\r\nBehavior fight any require Congress age party. Later seat woman western seek.,\"[{\"\"name\"\": \"\"Susan Harris\"\", \"\"affiliation\"\": \"\"Lowery LLC\"\", \"\"email\"\": \"\"rcallahan@example.net\"\"}, {\"\"name\"\": \"\"\",,267,None,\"[\"\"action\"\", \"\"man\"\", \"\"save\"\", \"\"expert\"\"]\",arXiv:2023.46683,,10.8261/YEYc,Science,2020,Realigned even-keeled array,,,\r\nWin today with water full thank. Radio choose help detail strategy two bit.,\"[{\"\"name\"\": \"\"William Clarke DDS\"\", \"\"affiliation\"\": \"\"Mitchell PLC\"\", \"\"email\"\": \"\"cindyhoffman@example.com\"\"},\",,319,\"Duncan, Morales and Erickson\",\"[\"\"time\"\", \"\"painting\"\", \"\"body\"\", \"\"second\"\"]\",arXiv:2024.66945,,10.3675/GkFi,Science,2022,Fundamental 5thgeneration emulation,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2024\",\n  \"total_revenue\": 3108970,\n  \"units_sold\": 70292,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1867975,\n      \"growth\": -2.95\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1947932,\n      \"growth\": 22.54\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5409\",\n      \"sales\": 492017\n    },\n    {\n      \"sku\": \"SKU-4816\",\n      \"sales\": 486050\n    },\n    {\n      \"sku\": \"SKU-9957\",\n      \"sales\": 44038\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-2804449\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K44\"\n\n[patient]\nmrn = \"MRN-394213\"\nage = 73\ngender = \"F\"\n\n[vitals]\nbp = \"162/64\"\nhr = 70\ntemp_f = 102.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"course_id\": \"CRS-9456\",\n  \"code\": \"KDS432\",\n  \"title\": \"Multi-channeled local complexity 101\",\n  \"instructor\": \"Kenneth Rogers\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"activity\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"foot\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"reason\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rule\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"paper\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"current\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"scene\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"choice\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"box\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9456</course_id>\n<code>KDS432</code>\n<title>Multi-channeled local complexity 101</title>\n<instructor>Kenneth Rogers</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>activity</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>foot</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>reason</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rule</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>paper</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>current</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>scene</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>choice</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>box</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nd14101dd-b47b-4916-b7e5-0ad54eefbb55,\"[{\"\"sku\"\": \"\"SKU-29323\"\", \"\"qty\"\": 2, \"\"price\"\": 70.49}, {\"\"sku\"\": \"\"SKU-65460\"\", \"\"qty\"\": 3, \"\"price\"\": 466.32}, {\"\"\",apple_pay,1301.16,124.54,2026-01-07T13:51:26.808008,239.49,TXN-72432123\r\n6b851ad8-1eea-422b-bb85-5bcbe9e17713,\"[{\"\"sku\"\": \"\"SKU-35965\"\", \"\"qty\"\": 4, \"\"price\"\": 161.92}]\",paypal,443.56,156.64,2026-01-07T13:51:26.809216,1858.75,TXN-74122351\r\na099ec05-603c-4d75-b80c-4114fb34abfc,\"[{\"\"sku\"\": \"\"SKU-47200\"\", \"\"qty\"\": 1, \"\"price\"\": 24.66}, {\"\"sku\"\": \"\"SKU-82555\"\", \"\"qty\"\": 1, \"\"price\"\": 85.02}]\",credit_card,183.92,137.37,2026-01-07T13:51:26.809267,714.76,TXN-30799290\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate contract data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-291572\nparties:\n- name: Smith and Sons\n  role: party_a\n- name: Avila-Campbell\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 47\nvalue: 297446\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.73738</paper_id>\n<title>Switchable maximized Local Area Network</title>\n<authors>\n<name>Heather Lee</name>\n<affiliation>Garcia, Ellison and Kim</affiliation>\n<email>kimberlysimpson@example.com</email>\n</authors>\n<authors>\n<name>Jeremy Gonzalez</name>\n<affiliation>Wilson, Sanchez and Copeland</affiliation>\n<email>michelle83@example.com</email>\n</authors>\n<authors>\n<name>Brianna Hart</name>\n<affiliation>Shannon, Tran and Taylor</affiliation>\n<email>penatyler@example.net</email>\n</authors>\n<abstract>List son shake understand food. Up no police friend factor. Support company yes push argue.</abstract>\n<keywords>fact</keywords>\n<keywords>guess</keywords>\n<keywords>truth</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.7028/ttmb</doi>\n</publication>\n<citations>36</citations>\n<funding_source>Guerra, Richards and Schaefer</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.73738\",\n  \"title\": \"Switchable maximized Local Area Network\",\n  \"authors\": [\n    {\n      \"name\": \"Heather Lee\",\n      \"affiliation\": \"Garcia, Ellison and Kim\",\n      \"email\": \"kimberlysimpson@example.com\"\n    },\n    {\n      \"name\": \"Jeremy Gonzalez\",\n      \"affiliation\": \"Wilson, Sanchez and Copeland\",\n      \"email\": \"michelle83@example.com\"\n    },\n    {\n      \"name\": \"Brianna Hart\",\n      \"affiliation\": \"Shannon, Tran and Taylor\",\n      \"email\": \"penatyler@example.net\"\n    }\n  ],\n  \"abstract\": \"List son shake understand food. Up no police friend factor. Support company yes push argue.\",\n  \"keywords\": [\n    \"fact\",\n    \"guess\",\n    \"truth\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.7028/ttmb\"\n  },\n  \"citations\": 36,\n  \"funding_source\": \"Guerra, Richards and Schaefer\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4827299\npatient_mrn: MRN-871984\norder_date: '2026-01-06'\npanel: Lipid\nresults:\n- test: WBC\n  value: 156.4\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 186.0\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 134.8\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 64.1\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output course syllabus as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5704</course_id>\n<code>BXM405</code>\n<title>Profit-focused responsive throughput 101</title>\n<instructor>Emily Bryan</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>southern</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>raise</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>across</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>teacher</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>service</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>authority</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>second</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>authority</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"6b141850-4372-44c1-8cf7-fc47780a5017\",\n  \"timestamp\": \"2026-01-07T13:51:26.727039\",\n  \"level\": \"WARNING\",\n  \"service\": \"fullService\",\n  \"message\": \"Simply human maintain sport.\",\n  \"stack_trace\": [\n    \"at environmental.py:351\",\n    \"at develop.py:28\",\n    \"at send.py:431\"\n  ],\n  \"context\": {\n    \"user_id\": \"fad7b695-3fb8-4313-ad8d-c2b1d4034196\",\n    \"request_id\": \"2ca5c81e-d6c8-42a4-9e09-9715e928fe91\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9030\"\ncode = \"GLL470\"\ntitle = \"Streamlined human-resource standardization 101\"\ninstructor = \"Christopher Wilson\"\ncredits = 4\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"yes\"\n\n[[schedule]]\nweek = 2\ntopic = \"read\"\n\n[[schedule]]\nweek = 3\ntopic = \"sign\"\n\n[[schedule]]\nweek = 4\ntopic = \"week\"\n\n[[schedule]]\nweek = 5\ntopic = \"such\"\n\n[[schedule]]\nweek = 6\ntopic = \"man\"\n\n[[schedule]]\nweek = 7\ntopic = \"job\"\n\n[[schedule]]\nweek = 8\ntopic = \"argue\"\n\n[[schedule]]\nweek = 9\ntopic = \"so\"\n\n[[schedule]]\nweek = 10\ntopic = \"age\"\n\n[[schedule]]\nweek = 11\ntopic = \"civil\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7665793</rx_id>\n<patient_mrn>MRN-934255</patient_mrn>\n<prescriber>Danielle Brown</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-7665793\",\n  \"patient_mrn\": \"MRN-934255\",\n  \"prescriber\": \"Danielle Brown\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.40808\",\n  \"title\": \"Versatile systematic infrastructure\",\n  \"authors\": [\n    {\n      \"name\": \"Andres Compton\",\n      \"affiliation\": \"Knight, Wyatt and Mccarty\",\n      \"email\": \"lawsontammy@example.org\"\n    },\n    {\n      \"name\": \"Michael Mcgrath\",\n      \"affiliation\": \"Garcia, Davis and Caldwell\",\n      \"email\": \"madison05@example.net\"\n    }\n  ],\n  \"abstract\": \"Face direction whom party go follow. According meet pick hit environmental resource glass.\",\n  \"keywords\": [\n    \"service\",\n    \"walk\",\n    \"although\",\n    \"several\",\n    \"against\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1740/TuDe\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Bautista, Saunders and Delgado\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nOMY437,CRS-8422,3,40,30,30,Rodney Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"answer\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"best\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"meet\"\"}, {\"\"week\"\"\",Spring 2023,Optimized upward-trending conglomeration 101\r\nFCH329,CRS-9108,4,40,30,30,Brad Nixon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"concern\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"guy\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"society\"\"}, {\"\"we\",Fall 2021,Focused 4thgeneration artificial intelligence 101\r\nCCM268,CRS-6240,4,40,30,30,Michele Harris,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"thus\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"south\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"dream\"\"}, {\"\"week\"\"\",Fall 2023,Diverse object-oriented process improvement 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-3575207\"\npatient_mrn = \"MRN-947410\"\nprescriber = \"Michael Bennett\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"TID\"\nquantity = 90\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Hear media safe I visit language. Difference part thousand. Society inside describe decision.,,2026-01-06,16,,,,PROD-143836,2,REV-3982215,,,,,Fight and building toward office.,0dd51960-e54b-4127-90d4-b32b17839969,True\r\nbooks,,USD,,,True,Managed global process improvement,126.18,PROD-869242,3.63,,405,20x85x87cm,42.27,291,,,\r\nelectronics,,USD,,,True,Decentralized didactic architecture,766.66,PROD-544058,3.92,,385,45x35x83cm,25.31,686,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-7200303\npatient:\n  mrn: MRN-928161\n  age: 83\n  gender: M\nencounter_date: '2026-01-01'\nchief_complaint: chest pain\nvitals:\n  bp: 93/72\n  hr: 85\n  temp_f: 100.8\nassessment:\n- problem: diabetes\n  icd10: K27\n- problem: hypertension\n  icd10: J62\n- problem: hypertension\n  icd10: J71\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNEE477,CRS-4513,3,40,30,30,Jaime Roman,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"marriage\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wonder\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"system\"\"}, {\",Spring 2022,Exclusive bottom-line artificial intelligence 101\r\nSCU225,CRS-8607,3,40,30,30,Lori Ford,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"history\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"dream\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ball\"\"}, {\"\"wee\",Fall 2020,Expanded leadingedge product 101\r\nHWY494,CRS-2327,4,40,30,30,Angela Lin,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"fall\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"red\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"its\"\"}, {\"\"week\"\": 4,\",Spring 2024,Persistent secondary forecast 101\r\nXGG195,CRS-8248,3,40,30,30,Joseph Ramsey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"blue\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"know\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"hour\"\"}, {\"\"week\"\": \",Spring 2021,Seamless multimedia orchestration 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-325945\nname: Universal bottom-line system engine\ncategory: electronics\nprice: 225.75\ncurrency: USD\nstock: 955\nis_available: true\nrating: 3.31\nreviews: 802\nspecs:\n  weight_kg: 22.25\n  dimensions: 77x29x32cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-942720,cohort,54,645,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 79.64, \"\"endpoint\"\": 26.86, \"\"p_value\"\": 0.2863}, {\"\"metric\"\": \"\"safety\"\",\",Effect of edge on when\r\nnon-significant,EXP-275450,observational,222,577,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 47.39, \"\"endpoint\"\": 55.82, \"\"p_value\"\": 0.2351}, {\"\"metric\"\": \"\"efficacy\",Effect of market on computer\r\nsignificant,EXP-602547,observational,241,244,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 16.77, \"\"endpoint\"\": 86.1, \"\"p_value\"\": 0.0756}, {\"\"metric\"\": \"\"safety\"\"\",Effect of culture on food\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.65510</paper_id>\n<title>Mandatory solution-oriented groupware</title>\n<authors>\n<name>Jared Fuller</name>\n<affiliation>Robinson, Crawford and Johnson</affiliation>\n<email>jenna58@example.net</email>\n</authors>\n<authors>\n<name>Nancy Anderson</name>\n<affiliation>Shannon-Johnson</affiliation>\n<email>richdonald@example.net</email>\n</authors>\n<authors>\n<name>Julia Neal</name>\n<affiliation>Roach, Harper and Cameron</affiliation>\n<email>gillcory@example.com</email>\n</authors>\n<abstract>Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.</abstract>\n<keywords>surface</keywords>\n<keywords>consumer</keywords>\n<keywords>despite</keywords>\n<keywords>compare</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.8909/Qnkv</doi>\n</publication>\n<citations>488</citations>\n<funding_source>Johnson LLC</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.65510\",\n  \"title\": \"Mandatory solution-oriented groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Jared Fuller\",\n      \"affiliation\": \"Robinson, Crawford and Johnson\",\n      \"email\": \"jenna58@example.net\"\n    },\n    {\n      \"name\": \"Nancy Anderson\",\n      \"affiliation\": \"Shannon-Johnson\",\n      \"email\": \"richdonald@example.net\"\n    },\n    {\n      \"name\": \"Julia Neal\",\n      \"affiliation\": \"Roach, Harper and Cameron\",\n      \"email\": \"gillcory@example.com\"\n    }\n  ],\n  \"abstract\": \"Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.\",\n  \"keywords\": [\n    \"surface\",\n    \"consumer\",\n    \"despite\",\n    \"compare\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.8909/Qnkv\"\n  },\n  \"citations\": 488,\n  \"funding_source\": \"Johnson LLC\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-619223\",\n  \"parties\": [\n    {\n      \"name\": \"Mcdaniel LLC\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Hunt-Bowman\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-03\",\n  \"term_months\": 21,\n  \"value\": 87478,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-4303735\",\n  \"patient_mrn\": \"MRN-230243\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 100.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 148.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2024</period>\n<total_revenue>5319249</total_revenue>\n<units_sold>96009</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>941227</revenue>\n<growth>26.4</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>937409</revenue>\n<growth>30.07</growth>\n</channels>\n<top_products>\n<sku>SKU-2900</sku>\n<sales>81858</sales>\n</top_products>\n<top_products>\n<sku>SKU-8266</sku>\n<sales>123988</sales>\n</top_products>\n<top_products>\n<sku>SKU-9969</sku>\n<sales>32400</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-160417\",\n  \"title\": \"Effect of agree on both\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 663,\n    \"duration_days\": 354\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 13.92,\n      \"endpoint\": 49.07,\n      \"p_value\": 0.4102\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 15.99,\n      \"endpoint\": 65.81,\n      \"p_value\": 0.3043\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 46.51,\n      \"endpoint\": 82.23,\n      \"p_value\": 0.4775\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-160417</experiment_id>\n<title>Effect of agree on both</title>\n<methodology>\n<design>cohort</design>\n<sample_size>663</sample_size>\n<duration_days>354</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>13.92</baseline>\n<endpoint>49.07</endpoint>\n<p_value>0.4102</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>15.99</baseline>\n<endpoint>65.81</endpoint>\n<p_value>0.3043</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>46.51</baseline>\n<endpoint>82.23</endpoint>\n<p_value>0.4775</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-137327\",\n  \"title\": \"Effect of class on read\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 679,\n    \"duration_days\": 111\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 73.26,\n      \"endpoint\": 72.84,\n      \"p_value\": 0.0533\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 49.24,\n      \"endpoint\": 28.3,\n      \"p_value\": 0.0809\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-137327</experiment_id>\n<title>Effect of class on read</title>\n<methodology>\n<design>RCT</design>\n<sample_size>679</sample_size>\n<duration_days>111</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>73.26</baseline>\n<endpoint>72.84</endpoint>\n<p_value>0.0533</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>49.24</baseline>\n<endpoint>28.3</endpoint>\n<p_value>0.0809</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-760727</contract_id>\n<parties>\n<name>King, Moore and Vazquez</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Brown, Henry and Craig</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-04</effective_date>\n<term_months>15</term_months>\n<value>170545</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-760727\",\n  \"parties\": [\n    {\n      \"name\": \"King, Moore and Vazquez\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Brown, Henry and Craig\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 15,\n  \"value\": 170545,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Last power trade or hard man. Century though fear somebody thank.\nParticularly film next out letter \",475,530,304,\"[\"\"#little\"\", \"\"#different\"\", \"\"#benefit\"\", \"\"#represent\"\"]\",twitter,POST-53638241,2026-01-06T09:43:31.863821,b721c855-7360-4fb2-bb63-d55e568d6dfb,wilsonmark\r\nBehavior ready sea senior window increase central. Adult rather over computer true. First pretty sto,321,2782,973,\"[\"\"#opportunity\"\", \"\"#recently\"\", \"\"#like\"\"]\",facebook,POST-81316758,2026-01-06T09:43:31.866331,c91ac9db-dc9c-4060-8ed4-3d7409c091a2,miguel69\r\nTest decide life crime stock billion. End score whether character force must.,406,2057,966,\"[\"\"#glass\"\", \"\"#expect\"\"]\",twitter,POST-37370474,2026-01-06T09:43:31.866768,3f49ce9f-bab4-4161-98dd-d17b5f7f09cc,kyle72\r\nDrop visit matter kid action cause effect kid. Company better beyond between. Firm successful learn ,454,1771,20,\"[\"\"#million\"\", \"\"#yourself\"\"]\",instagram,POST-19214188,2026-01-06T09:43:31.867369,cde0a64f-6e1a-423b-96cf-def71dc815f7,gallegoskimberly\r\nEnjoy learn author commercial realize child change. Wall compare certainly thing before four support,283,904,868,\"[\"\"#seem\"\", \"\"#middle\"\"]\",facebook,POST-13638560,2026-01-06T09:43:31.867799,e8f8c274-2314-4467-b71e-d1168757b0d1,smoran\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<net_income>4233102</net_income>\n<metrics>\n<profit_margin>14.29</profit_margin>\n<roe>18.28</roe>\n</metrics>\n<company>Blackwell, Simpson and Pace</company>\n<eps>0.79</eps>\n<expenses>41343491</expenses>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnet_income: 4233102\nmetrics:\n  profit_margin: 14.29\n  roe: 18.28\ncompany: Blackwell, Simpson and Pace\neps: 0.79\nexpenses: 41343491\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-3022361\",\n  \"patient_mrn\": \"MRN-726192\",\n  \"prescriber\": \"Jessica Warner\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3022361</rx_id>\n<patient_mrn>MRN-726192</patient_mrn>\n<prescriber>Jessica Warner</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\npaper_id: arXiv:2021.53732\ntitle: De-engineered exuding monitoring\nauthors:\n- name: Joseph Johnson\n  affiliation: Mccann, Romero and Ortiz\n  email: wcook@example.org\n- name: Mr. Henry Thomas\n  affiliation: Clarke-Williams\n  email: mlittle@example.com\nabstract: Cut happen you after talk trial accept she. Country church development card.\n  Learn support son service.\nkeywords:\n- positive\n- American\n- hand\n- sure\npublication:\n  venue: Science\n  year: 2024\n  doi: 10.3815/gTFt\ncitations: 88\nfunding_source: Kim LLC\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.53732</paper_id>\n<title>De-engineered exuding monitoring</title>\n<authors>\n<name>Joseph Johnson</name>\n<affiliation>Mccann, Romero and Ortiz</affiliation>\n<email>wcook@example.org</email>\n</authors>\n<authors>\n<name>Mr. Henry Thomas</name>\n<affiliation>Clarke-Williams</affiliation>\n<email>mlittle@example.com</email>\n</authors>\n<abstract>Cut happen you after talk trial accept she. Country church development card. Learn support son service.</abstract>\n<keywords>positive</keywords>\n<keywords>American</keywords>\n<keywords>hand</keywords>\n<keywords>sure</keywords>\n<publication>\n<venue>Science</venue>\n<year>2024</year>\n<doi>10.3815/gTFt</doi>\n</publication>\n<citations>88</citations>\n<funding_source>Kim LLC</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"8ef553f5-74fa-47eb-bfcb-571b6fa73c35\",\n  \"timestamp\": \"2026-01-07T13:51:27.105544\",\n  \"level\": \"WARNING\",\n  \"service\": \"radioService\",\n  \"message\": \"Professional pull soon.\",\n  \"stack_trace\": [\n    \"at eye.py:220\",\n    \"at short.py:148\",\n    \"at the.py:448\"\n  ],\n  \"context\": {\n    \"user_id\": \"162209b9-e3ae-4c7a-af39-f96af44cdcaa\",\n    \"request_id\": \"a05e806a-f592-4611-8d80-dbe2773bec40\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Curry and Yates</company>\n<ticker>KWAZ</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>4863925</revenue>\n<expenses>55129980</expenses>\n<net_income>12179320</net_income>\n<eps>7.94</eps>\n<metrics>\n<profit_margin>29.26</profit_margin>\n<roe>9.63</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Martinez, Patterson and Hunter</company>\n<ticker>PPOB</ticker>\n<quarter>Q1 2023</quarter>\n<revenue>66694743</revenue>\n<expenses>21448775</expenses>\n<net_income>421192</net_income>\n<eps>2.32</eps>\n<metrics>\n<profit_margin>7.89</profit_margin>\n<roe>9.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-852879</assessment_id>\n<student_id>STU-517758</student_id>\n<course_id>CRS-9070</course_id>\n<type>exam</type>\n<date>2026-01-04</date>\n<scores>\n<question>1</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>58</total_score>\n<percentage>53.23</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-852879\",\n  \"student_id\": \"STU-517758\",\n  \"course_id\": \"CRS-9070\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-04\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 58,\n  \"percentage\": 53.23,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-942720\"\ntitle = \"Effect of edge on when\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 79.64\nendpoint = 26.86\np_value = 0.2863\n\n[[results]]\nmetric = \"safety\"\nbaseline = 55.57\nendpoint = 59.78\np_value = 0.1705\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 30.69\nendpoint = 27.4\np_value = 0.1116\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 32.07\nendpoint = 35.79\np_value = 0.1946\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 645\nduration_days = 54\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nterm_months = 34\nstatus = \"executed\"\neffective_date = \"2026-01-01\"\n[[parties]]\nname = \"Garza-Henson\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Griffin-Weaver\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal_revenue = 4767348\nunits_sold = 83155\nperiod = \"June 2021\"\n[[channels]]\nname = \"wholesale\"\nrevenue = 1417690\ngrowth = 3.46\n\n[[channels]]\nname = \"retail\"\nrevenue = 1490990\ngrowth = -1.84\n\n[[top_products]]\nsku = \"SKU-8876\"\nsales = 207897\n\n[[top_products]]\nsku = \"SKU-4217\"\nsales = 342627\n\n[[top_products]]\nsku = \"SKU-4746\"\nsales = 285638\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-9458448\",\n  \"patient_mrn\": \"MRN-362998\",\n  \"prescriber\": \"Courtney Hansen\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9458448</rx_id>\n<patient_mrn>MRN-362998</patient_mrn>\n<prescriber>Courtney Hansen</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"result_id\": \"LAB-5383313\",\n  \"patient_mrn\": \"MRN-584871\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 194.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 67.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 195.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 146.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 119.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id = \"LAB-5383313\"\npatient_mrn = \"MRN-584871\"\norder_date = \"2026-01-06\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 194.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 67.1\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 195.1\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 146.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 119.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-9442688\",\n  \"patient_mrn\": \"MRN-277514\",\n  \"prescriber\": \"Timothy Goodman\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9442688</rx_id>\n<patient_mrn>MRN-277514</patient_mrn>\n<prescriber>Timothy Goodman</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1812594</result_id>\n<patient_mrn>MRN-755137</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>131.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>183.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>130.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>178.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-1812594\",\n  \"patient_mrn\": \"MRN-755137\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 131.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 183.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 130.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 178.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\npaper_id: arXiv:2023.99214\ntitle: Integrated mobile database\nauthors:\n- name: Clayton Martinez\n  affiliation: Flores, Levy and Farmer\n  email: kathy80@example.org\n- name: Susan Bennett\n  affiliation: Collins, Daniel and Lyons\n  email: shawnjefferson@example.org\nabstract: Full with spend role first drive. Want man instead today bed hand character.\nkeywords:\n- bed\n- very\n- population\npublication:\n  venue: Nature\n  year: 2023\n  doi: 10.4640/CkqB\ncitations: 395\nfunding_source: null\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nFull with spend role first drive. Want man instead today bed hand character.,\"[{\"\"name\"\": \"\"Clayton Martinez\"\", \"\"affiliation\"\": \"\"Flores, Levy and Farmer\"\", \"\"email\"\": \"\"kathy80@example.or\",395,None,\"[\"\"bed\"\", \"\"very\"\", \"\"population\"\"]\",arXiv:2023.99214,10.4640/CkqB,Nature,2023,Integrated mobile database\r\nDark bag while. Color red trade. Foot attorney miss treat. Accept my daughter theory.,\"[{\"\"name\"\": \"\"Courtney Clark\"\", \"\"affiliation\"\": \"\"Hahn, Smith and Shepard\"\", \"\"email\"\": \"\"michele42@example.co\",169,\"Johnson, Castaneda and West\",\"[\"\"more\"\", \"\"huge\"\", \"\"just\"\"]\",arXiv:2023.61593,10.9554/kndo,Science,2020,Upgradable 5thgeneration functionalities\r\nIndustry operation TV energy. Senior character maintain hear sing foreign. Another dark build whom n,\"[{\"\"name\"\": \"\"Heidi Jacobs\"\", \"\"affiliation\"\": \"\"Thomas LLC\"\", \"\"email\"\": \"\"kgibbs@example.org\"\"}, {\"\"name\"\": \"\"Sus\",211,None,\"[\"\"decide\"\", \"\"change\"\", \"\"wife\"\", \"\"book\"\"]\",arXiv:2023.50090,10.5784/kYDl,Science,2020,Up-sized bifurcated monitoring\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-2441646\npatient_mrn: MRN-228148\norder_date: '2026-01-01'\npanel: Lipid\nresults:\n- test: Glucose\n  value: 81.9\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 107.7\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 101.6\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 197.9\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following CSV to JSON:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5,9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b,3ee04eb7-6a96-4708-8070-7816402d081f,,,ERROR,Base information cell production decade back.,,,,,checkService,\"[\"\"at quality.py:463\"\", \"\"at but.py:317\"\"]\",2026-01-07T13:51:26.236854,\r\nFollow worker the bed next note while kind. Down between better sell key quality.,\"[{\"\"name\"\": \"\"Austin Morgan\"\", \"\"affiliation\"\": \"\"Christensen-Abbott\"\", \"\"email\"\": \"\"dawsonjoy@example.org\"\"}, {\",92,,,,Ward-Martin,\"[\"\"son\"\", \"\"cell\"\", \"\"card\"\", \"\"game\"\"]\",,,arXiv:2022.50110,10.9154/LDSp,Nature,2023,,,,Open-source 3rdgeneration budgetary management\r\nDuring end professional step region themselves line. Politics college forward financial without trut,\"[{\"\"name\"\": \"\"Emily Ramos\"\", \"\"affiliation\"\": \"\"Carter LLC\"\", \"\"email\"\": \"\"wandajackson@example.com\"\"}, {\"\"name\"\":\",87,,,,None,\"[\"\"major\"\", \"\"network\"\", \"\"arm\"\", \"\"lawyer\"\", \"\"discuss\"\"]\",,,arXiv:2022.69826,10.4714/icib,Cell,2024,,,,Business-focused actuating application\r\n\"Side for maybe theory imagine meet. Poor manager approach keep.\nReally join lead simply however. Lik\",\"[{\"\"name\"\": \"\"Chris Williams\"\", \"\"affiliation\"\": \"\"Vaughan-Mitchell\"\", \"\"email\"\": \"\"adamatkins@example.org\"\"}, {\",418,,,,\"Henry, Potts and Hurley\",\"[\"\"allow\"\", \"\"generation\"\", \"\"husband\"\", \"\"less\"\"]\",,,arXiv:2023.71326,10.9330/YDKY,Nature,2023,,,,Focused multi-state website\r\nEach sense around even against reach upon hold. Member respond majority magazine group everything bu,\"[{\"\"name\"\": \"\"Anthony Nelson\"\", \"\"affiliation\"\": \"\"Mosley-Mason\"\", \"\"email\"\": \"\"webbsarah@example.net\"\"}, {\"\"name\",237,,,,None,\"[\"\"red\"\", \"\"lay\"\", \"\"future\"\", \"\"face\"\"]\",,,arXiv:2021.13376,10.7467/ttME,Cell,2020,,,,Realigned maximized knowledgebase\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"3ee04eb7-6a96-4708-8070-7816402d081f\",\n  \"timestamp\": \"2026-01-07T13:51:26.236854\",\n  \"level\": \"ERROR\",\n  \"service\": \"checkService\",\n  \"message\": \"Base information cell production decade back.\",\n  \"stack_trace\": [\n    \"at quality.py:463\",\n    \"at but.py:317\"\n  ],\n  \"context\": {\n    \"user_id\": \"9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\",\n    \"request_id\": \"f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.76000\ntitle: Exclusive human-resource methodology\nauthors:\n- name: Dustin Sweeney\n  affiliation: Miller LLC\n  email: perezsarah@example.net\n- name: Sarah King\n  affiliation: Jenkins PLC\n  email: qcole@example.org\n- name: Greg Roth\n  affiliation: Dunn-Owens\n  email: stephanieshah@example.org\nabstract: Save member effort election science. Game star because history hospital\n  those.\nkeywords:\n- before\n- reason\n- team\n- performance\npublication:\n  venue: Nature\n  year: 2021\n  doi: 10.8081/Wccn\ncitations: 140\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-766800\nstudent_id: STU-927295\ncourse_id: CRS-8819\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 4\n  points_possible: 10\n- question: 9\n  points_earned: 3\n  points_possible: 10\ntotal_score: 99\npercentage: 71.71\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.79764</paper_id>\n<title>Progressive exuding adapter</title>\n<authors>\n<name>Gary Johnson</name>\n<affiliation>Wolf Group</affiliation>\n<email>jamie40@example.org</email>\n</authors>\n<authors>\n<name>Lisa Ortega</name>\n<affiliation>Wells, Flores and Cooper</affiliation>\n<email>nicholas25@example.com</email>\n</authors>\n<authors>\n<name>Kimberly Alvarez</name>\n<affiliation>Lewis-Hunt</affiliation>\n<email>bookersteven@example.com</email>\n</authors>\n<abstract>Win both purpose hour professor table.</abstract>\n<keywords>office</keywords>\n<keywords>during</keywords>\n<keywords>more</keywords>\n<keywords>apply</keywords>\n<keywords>program</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1780/NyHo</doi>\n</publication>\n<citations>258</citations>\n<funding_source>Espinoza, Khan and Lowe</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.79764\",\n  \"title\": \"Progressive exuding adapter\",\n  \"authors\": [\n    {\n      \"name\": \"Gary Johnson\",\n      \"affiliation\": \"Wolf Group\",\n      \"email\": \"jamie40@example.org\"\n    },\n    {\n      \"name\": \"Lisa Ortega\",\n      \"affiliation\": \"Wells, Flores and Cooper\",\n      \"email\": \"nicholas25@example.com\"\n    },\n    {\n      \"name\": \"Kimberly Alvarez\",\n      \"affiliation\": \"Lewis-Hunt\",\n      \"email\": \"bookersteven@example.com\"\n    }\n  ],\n  \"abstract\": \"Win both purpose hour professor table.\",\n  \"keywords\": [\n    \"office\",\n    \"during\",\n    \"more\",\n    \"apply\",\n    \"program\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1780/NyHo\"\n  },\n  \"citations\": 258,\n  \"funding_source\": \"Espinoza, Khan and Lowe\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-1748125\"\nheadline = \"Customizable leadingedge structure\"\nauthor = \"Sandra Bennett\"\npublished = \"2026-01-03T22:52:42.741679\"\nsection = \"Sports\"\ncontent = \"Majority meeting sound have week public pass. Major food relate spend seven.\\nIndeed run fund.\\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.\"\ntags = [ \"subject\", \"attention\", \"class\", \"campaign\", \"second\",]\nviews = 63827\nshares = 2505\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nWilliams Ltd,9.18,48847964,7.56,13.89,12028281,Q3 2022,93368790,IHFM\r\n\"Kelley, Jones and Walker\",7.68,14323173,10.7,5.91,18941954,Q2 2024,91146087,NJNT\r\nSalas-Stanley,1.98,34820493,17.93,24.27,6322133,Q2 2020,71057317,BLFI\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-799417,2026-01-03,\"[{\"\"name\"\": \"\"Floyd, Perry and Ortiz\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kim-West\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,20,39668\r\nCTR-947962,2026-01-04,\"[{\"\"name\"\": \"\"Neal, Young and Preston\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hamilton LLC\"\", \"\"role\"\": \"\"party_b\"\"}\",pending,51,883290\r\nCTR-733615,2026-01-05,\"[{\"\"name\"\": \"\"Taylor LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Harris Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,27,878926\r\nCTR-800695,2026-01-01,\"[{\"\"name\"\": \"\"Hurley, Young and Davis\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hudson PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,42,908924\r\nCTR-583159,2026-01-05,\"[{\"\"name\"\": \"\"Garner-Mays\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson-Stewart\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,35,43678\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9442688\"\npatient_mrn = \"MRN-277514\"\nprescriber = \"Timothy Goodman\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 30\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2604144\"\npatient_mrn = \"MRN-906692\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 180.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 97.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 88.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 65.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 95.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 86.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 152.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nWin both purpose hour professor table.,\"[{\"\"name\"\": \"\"Gary Johnson\"\", \"\"affiliation\"\": \"\"Wolf Group\"\", \"\"email\"\": \"\"jamie40@example.org\"\"}, {\"\"name\"\": \"\"Li\",258,\"Espinoza, Khan and Lowe\",\"[\"\"office\"\", \"\"during\"\", \"\"more\"\", \"\"apply\"\", \"\"program\"\"]\",arXiv:2022.79764,10.1780/NyHo,Nature,2023,Progressive exuding adapter\r\n\"Chance entire PM must way near. Difficult community sell.\nSenior if behind.\",\"[{\"\"name\"\": \"\"Stephanie Stewart\"\", \"\"affiliation\"\": \"\"Hughes, Perry and Hernandez\"\", \"\"email\"\": \"\"christopherbo\",485,None,\"[\"\"might\"\", \"\"Mr\"\", \"\"chair\"\", \"\"capital\"\", \"\"that\"\"]\",arXiv:2020.22680,10.9346/isYH,Science,2024,Team-oriented grid-enabled database\r\nActivity magazine fish cultural likely half. Population both structure professional hair table arm. ,\"[{\"\"name\"\": \"\"Robert Lara\"\", \"\"affiliation\"\": \"\"Lee-Hill\"\", \"\"email\"\": \"\"dorisnewman@example.com\"\"}, {\"\"name\"\": \"\"C\",229,None,\"[\"\"outside\"\", \"\"medical\"\", \"\"thousand\"\", \"\"into\"\", \"\"thus\"\"]\",arXiv:2024.19835,10.4945/nUcw,Cell,2021,Multi-tiered even-keeled firmware\r\nGreen participant teacher art. Again guess choose call. Month recently media say performance address,\"[{\"\"name\"\": \"\"Alexander Richard\"\", \"\"affiliation\"\": \"\"Gibson PLC\"\", \"\"email\"\": \"\"virginia57@example.com\"\"}, {\"\"na\",2,Moyer LLC,\"[\"\"send\"\", \"\"provide\"\", \"\"civil\"\", \"\"although\"\"]\",arXiv:2021.44315,10.6759/gkrz,Cell,2024,Centralized homogeneous emulation\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.79764</paper_id>\n<title>Progressive exuding adapter</title>\n<authors>\n<name>Gary Johnson</name>\n<affiliation>Wolf Group</affiliation>\n<email>jamie40@example.org</email>\n</authors>\n<authors>\n<name>Lisa Ortega</name>\n<affiliation>Wells, Flores and Cooper</affiliation>\n<email>nicholas25@example.com</email>\n</authors>\n<authors>\n<name>Kimberly Alvarez</name>\n<affiliation>Lewis-Hunt</affiliation>\n<email>bookersteven@example.com</email>\n</authors>\n<abstract>Win both purpose hour professor table.</abstract>\n<keywords>office</keywords>\n<keywords>during</keywords>\n<keywords>more</keywords>\n<keywords>apply</keywords>\n<keywords>program</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1780/NyHo</doi>\n</publication>\n<citations>258</citations>\n<funding_source>Espinoza, Khan and Lowe</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-8093004</result_id>\n<patient_mrn>MRN-777027</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>140.2</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>96.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>185.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>139.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-8093004\",\n  \"patient_mrn\": \"MRN-777027\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 96.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 185.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 139.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,,MRN-917991,LAB-1697642,\r\n2026-01-04,CBC,MRN-973078,LAB-4460395,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 86.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 1\"\r\n2026-01-04,CMP,MRN-652839,LAB-9687700,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 128.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 196.7, \"\"un\"\r\n2026-01-04,CBC,MRN-174131,LAB-2996337,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 84.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 137.4,\"\r\n2026-01-01,Lipid,MRN-920473,LAB-6345094,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 195.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-506156\",\n  \"title\": \"Effect of window on soldier\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 884,\n    \"duration_days\": 87\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 32.86,\n      \"endpoint\": 81.82,\n      \"p_value\": 0.3265\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 88.84,\n      \"endpoint\": 10.2,\n      \"p_value\": 0.448\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 27.68,\n      \"endpoint\": 60.55,\n      \"p_value\": 0.1062\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 51.8,\n      \"endpoint\": 89.23,\n      \"p_value\": 0.4543\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-506156</experiment_id>\n<title>Effect of window on soldier</title>\n<methodology>\n<design>observational</design>\n<sample_size>884</sample_size>\n<duration_days>87</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>32.86</baseline>\n<endpoint>81.82</endpoint>\n<p_value>0.3265</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>88.84</baseline>\n<endpoint>10.2</endpoint>\n<p_value>0.448</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>27.68</baseline>\n<endpoint>60.55</endpoint>\n<p_value>0.1062</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>51.8</baseline>\n<endpoint>89.23</endpoint>\n<p_value>0.4543</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3759937\"\n\n[patient]\nmrn = \"MRN-802088\"\nage = 30\ngender = \"M\"\n\n[vitals]\nbp = \"119/74\"\nhr = 67\ntemp_f = 100.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,,CN-5327531,72,M,MRN-620008,99/86,73,99.2\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K75\"\"}]\",headache,2026-01-02,CN-7482140,53,M,MRN-606618,94/66,82,98.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J75\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K16\"\"}]\",chest pain,2026-01-03,CN-8201421,90,M,MRN-582583,168/74,82,97.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J10\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K35\"\"}]\",chest pain,2026-01-05,CN-2141917,58,F,MRN-424200,120/74,119,101.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-428311\"\nname = \"Object-based value-added workforce\"\ncategory = \"books\"\nprice = 802.3\ncurrency = \"USD\"\nstock = 719\nis_available = true\nrating = 1.5\nreviews = 81\n\n[specs]\nweight_kg = 27.85\ndimensions = \"99x87x32cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2870757,Russell Ward,\"Evening most most. Decide ready yet.\nEnjoy relate enjoy forget degree push above. Page somebody numb\",Team-oriented zero tolerance support,2026-01-03T10:13:04.270933,Sports,4223,\"[\"\"drop\"\", \"\"agent\"\", \"\"computer\"\", \"\"work\"\"]\",25211\r\nART-7568932,Ronald Carter,\"Whole expert Congress. Rise budget prevent.\nAble room force girl civil huge. International say direc\",Horizontal web-enabled workforce,2026-01-01T21:22:53.755258,Politics,562,\"[\"\"per\"\", \"\"stand\"\", \"\"police\"\"]\",65008\r\nART-9558881,Harold Cruz,Truth fight state source. Surface center vote section year until relationship. Company body walk mai,Diverse next generation migration,2026-01-02T00:46:12.550931,Business,1263,\"[\"\"generation\"\", \"\"parent\"\", \"\"power\"\", \"\"ground\"\"]\",86036\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: January 2024\ntotal_revenue: 3091656\nunits_sold: 63856\nchannels:\n- name: wholesale\n  revenue: 2739604\n  growth: -0.52\n- name: online\n  revenue: 247982\n  growth: 14.46\ntop_products:\n- sku: SKU-7268\n  sales: 409348\n- sku: SKU-4030\n  sales: 70087\n- sku: SKU-4380\n  sales: 298376\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2022\ntotal_revenue: 1929763\nunits_sold: 49768\nchannels:\n- name: wholesale\n  revenue: 3802336\n  growth: 0.28\n- name: retail\n  revenue: 1345600\n  growth: 45.3\ntop_products:\n- sku: SKU-8343\n  sales: 268519\n- sku: SKU-3928\n  sales: 438065\n- sku: SKU-3005\n  sales: 455073\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ngrade = \"C\"\ndate = \"2026-01-01\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4303735</result_id>\n<patient_mrn>MRN-230243</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>142.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>100.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output sales analytics as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"February 2022\",\n  \"total_revenue\": 6033804,\n  \"units_sold\": 27183,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4147239,\n      \"growth\": 40.37\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2663137,\n      \"growth\": 9.96\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2538\",\n      \"sales\": 420940\n    },\n    {\n      \"sku\": \"SKU-8680\",\n      \"sales\": 364206\n    },\n    {\n      \"sku\": \"SKU-2062\",\n      \"sales\": 350623\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Distributed high-level website API\n  version: 1.0.0\npaths:\n  /next:\n    get:\n      summary: Movie my movie common adult.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-734376\"\ntitle = \"Effect of probably on skin\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 94.92\nendpoint = 99.12\np_value = 0.3163\n\n[[results]]\nmetric = \"safety\"\nbaseline = 43.8\nendpoint = 81.58\np_value = 0.1627\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 31.59\nendpoint = 36.02\np_value = 0.4619\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 82.54\nendpoint = 59.85\np_value = 0.3654\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 800\nduration_days = 273\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-921030,LAB-2969434,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 90.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-04,CBC,MRN-823080,LAB-5800315,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 198.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"va\"\r\n2026-01-01,CBC,MRN-808554,LAB-5863869,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 116.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-03,CMP,MRN-163720,LAB-8158821,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 199.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 50.7, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-173345\"\ntitle = \"Effect of state on or\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 88.4\nendpoint = 29.84\np_value = 0.0809\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 90.53\nendpoint = 33.55\np_value = 0.0079\n\n[[results]]\nmetric = \"safety\"\nbaseline = 48.26\nendpoint = 60.25\np_value = 0.0924\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 849\nduration_days = 264\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I52\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J76\"\"}]\",chest pain,2026-01-06,CN-7937835,66,M,MRN-749785,179/85,81,101.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I19\"\"}]\",headache,2026-01-05,CN-9948063,38,F,MRN-347636,164/72,78,98.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K48\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K48\"\"}, {\"\"problem\"\": \"\"hype\",chest pain,2026-01-06,CN-1747586,42,F,MRN-982188,170/90,119,97.2\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J24\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K82\"\"}]\",fever,2026-01-06,CN-5100366,51,M,MRN-408390,106/98,80,101.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-389849,Briana Dickerson,RX-7309915\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-730090,Corey Perkins,RX-9670781\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-179545,Amanda Knox,RX-4182969\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-664070,Adam Greene,RX-7404878\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-237840,Dale Martin,RX-6274396\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need course syllabus details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-7169\ncode: UPX251\ntitle: Grass-roots secondary product 101\ninstructor: Denise Higgins\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: someone\n- week: 2\n  topic: public\n- week: 3\n  topic: role\n- week: 4\n  topic: certainly\n- week: 5\n  topic: above\n- week: 6\n  topic: film\n- week: 7\n  topic: represent\n- week: 8\n  topic: spring\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4765</course_id>\n<code>VMZ479</code>\n<title>Exclusive grid-enabled software 101</title>\n<instructor>Amy Baker</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>show</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>cut</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>international</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>since</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-4765\",\n  \"code\": \"VMZ479\",\n  \"title\": \"Exclusive grid-enabled software 101\",\n  \"instructor\": \"Amy Baker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"show\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"cut\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"international\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"since\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<paths>\n</population>\n<get>\n<summary>Lead room develop man according street century.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//population>\n</paths>\n<info>\n<title>Ameliorated radical initiative API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Ameliorated radical initiative API\"\nversion = \"1.0.0\"\n\n[paths.\"/population\".get]\nsummary = \"Lead room develop man according street century.\"\n[[paths.\"/population\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/population\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/population\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/population\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/population\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-651261</product_id>\n<name>Cross-platform scalable protocol</name>\n<category>clothing</category>\n<price>855.77</price>\n<currency>USD</currency>\n<stock>343</stock>\n<is_available>True</is_available>\n<rating>3.23</rating>\n<reviews>830</reviews>\n<specs>\n<weight_kg>21.29</weight_kg>\n<dimensions>84x20x91cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-7491627\"\npatient_mrn = \"MRN-679961\"\norder_date = \"2026-01-04\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 60.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 129.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 64.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 56.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 110.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 61.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>92d36993-19b1-4c19-9b64-8b4669c6636f</error_id>\n<timestamp>2026-01-07T13:51:27.222487</timestamp>\n<level>WARNING</level>\n<service>voiceService</service>\n<message>Analysis beautiful attack blue eye.</message>\n<stack_trace>at well.py:163</stack_trace>\n<stack_trace>at will.py:421</stack_trace>\n<stack_trace>at run.py:384</stack_trace>\n<stack_trace>at TV.py:103</stack_trace>\n<context>\n<user_id>c92bcb8f-c109-47f8-aa13-b43737a1fc38</user_id>\n<request_id>f4cb6737-30c9-41ef-814b-34c3ec971deb</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-48552675\"\ncustomer_id = \"19d3d880-f410-4b85-a35d-9c5777705d1f\"\ntimestamp = \"2026-01-07T13:51:26.837603\"\nsubtotal = 1354.26\ntax = 33.08\ntotal = 766.28\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-30306\"\nqty = 4\nprice = 206.74\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9047593</result_id>\n<patient_mrn>MRN-478989</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>171.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>58.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>78.7</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>138.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>51.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-9047593\",\n  \"patient_mrn\": \"MRN-478989\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 58.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 78.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 51.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-676553\nparties:\n- name: Kelly and Sons\n  role: party_a\n- name: Jensen-Palmer\n  role: party_b\neffective_date: '2026-01-05'\nterm_months: 31\nvalue: 246171\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need student assessment details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-697930\"\nstudent_id = \"STU-441870\"\ncourse_id = \"CRS-2842\"\ntype = \"exam\"\ndate = \"2026-01-04\"\ntotal_score = 92\npercentage = 95.99\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>91d16731-5e7b-4a47-8285-7a54d79d3b76</error_id>\n<timestamp>2026-01-07T13:51:25.635487</timestamp>\n<level>WARNING</level>\n<service>AmericanService</service>\n<message>Drug sell certainly major total.</message>\n<stack_trace>at although.py:151</stack_trace>\n<stack_trace>at mission.py:443</stack_trace>\n<context>\n<user_id>11d85442-7276-4e30-9249-06df8089bd39</user_id>\n<request_id>f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"91d16731-5e7b-4a47-8285-7a54d79d3b76\"\ntimestamp = \"2026-01-07T13:51:25.635487\"\nlevel = \"WARNING\"\nservice = \"AmericanService\"\nmessage = \"Drug sell certainly major total.\"\nstack_trace = [ \"at although.py:151\", \"at mission.py:443\",]\n\n[context]\nuser_id = \"11d85442-7276-4e30-9249-06df8089bd39\"\nrequest_id = \"f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-723394</product_id>\n<name>Streamlined full-range ability</name>\n<category>clothing</category>\n<price>959.9</price>\n<currency>USD</currency>\n<stock>28</stock>\n<is_available>True</is_available>\n<rating>3.7</rating>\n<reviews>332</reviews>\n<specs>\n<weight_kg>9.93</weight_kg>\n<dimensions>53x67x45cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-734376</experiment_id>\n<title>Effect of probably on skin</title>\n<methodology>\n<design>cohort</design>\n<sample_size>800</sample_size>\n<duration_days>273</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>94.92</baseline>\n<endpoint>99.12</endpoint>\n<p_value>0.3163</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.8</baseline>\n<endpoint>81.58</endpoint>\n<p_value>0.1627</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>31.59</baseline>\n<endpoint>36.02</endpoint>\n<p_value>0.4619</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.54</baseline>\n<endpoint>59.85</endpoint>\n<p_value>0.3654</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-734376\",\n  \"title\": \"Effect of probably on skin\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 800,\n    \"duration_days\": 273\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.92,\n      \"endpoint\": 99.12,\n      \"p_value\": 0.3163\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.8,\n      \"endpoint\": 81.58,\n      \"p_value\": 0.1627\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 31.59,\n      \"endpoint\": 36.02,\n      \"p_value\": 0.4619\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.54,\n      \"endpoint\": 59.85,\n      \"p_value\": 0.3654\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-842353\nname: Synergistic bottom-line conglomeration\ncategory: books\nprice: 609.49\ncurrency: USD\nstock: 399\nis_available: true\nrating: 1.05\nreviews: 570\nspecs:\n  weight_kg: 25.04\n  dimensions: 30x19x82cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-7169946\",\n  \"product_id\": \"PROD-908355\",\n  \"user_id\": \"109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0\",\n  \"rating\": 3,\n  \"title\": \"Suffer kid daughter race still baby.\",\n  \"content\": \"Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\\nRun rich marriage parent discover kitchen. Positive person baby list positive really range.\",\n  \"date\": \"2026-01-05\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 3\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-7169946</review_id>\n<product_id>PROD-908355</product_id>\n<user_id>109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0</user_id>\n<rating>3</rating>\n<title>Suffer kid daughter race still baby.</title>\n<content>Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\nRun rich marriage parent discover kitchen. Positive person baby list positive really range.</content>\n<date>2026-01-05</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>3</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate experiment result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-160417\",\n  \"title\": \"Effect of agree on both\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 663,\n    \"duration_days\": 354\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 13.92,\n      \"endpoint\": 49.07,\n      \"p_value\": 0.4102\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 15.99,\n      \"endpoint\": 65.81,\n      \"p_value\": 0.3043\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 46.51,\n      \"endpoint\": 82.23,\n      \"p_value\": 0.4775\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output news article as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-5646798\"\nheadline = \"Switchable hybrid groupware\"\nauthor = \"Joshua Bell\"\npublished = \"2026-01-05T05:31:42.088007\"\nsection = \"Business\"\ncontent = \"List road lay not year. Congress gas full particular according. Prevent hear century game friend civil live.\\nPossible option especially woman. Ahead down suffer doctor six traditional. Prove ready American star impact operation just. Difficult yourself difficult base of four letter.\"\ntags = [ \"author\", \"son\", \"food\",]\nviews = 74484\nshares = 596\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2022</period>\n<total_revenue>4880286</total_revenue>\n<units_sold>74173</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2000312</revenue>\n<growth>0.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3751658</revenue>\n<growth>-3.19</growth>\n</channels>\n<top_products>\n<sku>SKU-6977</sku>\n<sales>264067</sales>\n</top_products>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>443161</sales>\n</top_products>\n<top_products>\n<sku>SKU-1793</sku>\n<sales>209512</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: September 2022\ntotal_revenue: 4880286\nunits_sold: 74173\nchannels:\n- name: retail\n  revenue: 2000312\n  growth: 0.96\n- name: wholesale\n  revenue: 3751658\n  growth: -3.19\ntop_products:\n- sku: SKU-6977\n  sales: 264067\n- sku: SKU-7032\n  sales: 443161\n- sku: SKU-1793\n  sales: 209512\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5230809\nproduct_id: PROD-904016\nuser_id: 48e4fc71-c074-4e75-abea-e5757bb1be3b\nrating: 4\ntitle: Cost goal break ask from point traditional.\ncontent: 'Pretty inside feeling light.\n\n  Worry structure traditional phone.\n\n  Manager leave city a without election. Many maybe adult various others. Page wrong\n  arrive.'\ndate: '2026-01-03'\nverified_purchase: true\nhelpful_votes: 82\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-299234</contract_id>\n<parties>\n<name>Murphy, Hawkins and Mckenzie</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Collins-Miller</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>46</term_months>\n<value>506357</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-299234\nparties:\n- name: Murphy, Hawkins and Mckenzie\n  role: party_a\n- name: Collins-Miller\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 46\nvalue: 506357\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-361703</product_id>\n<name>Grass-roots methodical neural-net</name>\n<category>books</category>\n<price>156.58</price>\n<currency>USD</currency>\n<stock>3</stock>\n<is_available>True</is_available>\n<rating>3.73</rating>\n<reviews>915</reviews>\n<specs>\n<weight_kg>25.41</weight_kg>\n<dimensions>90x40x81cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output error log as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"3ee04eb7-6a96-4708-8070-7816402d081f\"\ntimestamp = \"2026-01-07T13:51:26.236854\"\nlevel = \"ERROR\"\nservice = \"checkService\"\nmessage = \"Base information cell production decade back.\"\nstack_trace = [ \"at quality.py:463\", \"at but.py:317\",]\n\n[context]\nuser_id = \"9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\"\nrequest_id = \"f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nverified_purchase: true\ntitle: Country especially hand.\nreview_id: REV-4835597\nproduct_id: PROD-713270\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-685161</product_id>\n<name>Balanced demand-driven capacity</name>\n<category>clothing</category>\n<price>554.83</price>\n<currency>USD</currency>\n<stock>872</stock>\n<is_available>True</is_available>\n<rating>3.32</rating>\n<reviews>212</reviews>\n<specs>\n<weight_kg>39.83</weight_kg>\n<dimensions>86x88x63cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-1056021\",\n  \"patient_mrn\": \"MRN-977601\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 124.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 114.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 119.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate error log data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,title\r\n,,,7878bb2d-6319-4d97-8924-bd0357b0788d,fe05329e-c851-4258-9b5b-a5822613303b,d3f1548e-3d70-475b-a25a-df504add1be1,,,WARNING,,,,,approachService,\"[\"\"at level.py:451\"\", \"\"at science.py:176\"\", \"\"at art.py:498\"\", \"\"at success.py:287\"\"]\",\r\nMaintain actually building any professional. Participant which relationship do.,\"[{\"\"name\"\": \"\"Traci White\"\", \"\"affiliation\"\": \"\"Scott, Curry and Hernandez\"\", \"\"email\"\": \"\"alexjordan@example.o\",94,,,,None,\"[\"\"until\"\", \"\"behind\"\", \"\"ok\"\", \"\"put\"\"]\",,arXiv:2020.92507,10.4038/PWOx,Science,2022,,,Self-enabling web-enabled capacity\r\nPeople itself already couple property huge hear. Camera would couple project thus control tend.,\"[{\"\"name\"\": \"\"Dr. David Smith\"\", \"\"affiliation\"\": \"\"Romero, Cruz and Montoya\"\", \"\"email\"\": \"\"marynunez@example.\",340,,,,None,\"[\"\"serve\"\", \"\"collection\"\", \"\"fear\"\"]\",,arXiv:2023.71084,10.4443/ZiSL,Cell,2022,,,Synergized upward-trending implementation\r\nRange foreign wife. Sure camera return ten deep detail. Enter skin long travel next determine.,\"[{\"\"name\"\": \"\"Leslie Ramos\"\", \"\"affiliation\"\": \"\"Collins, Strickland and Bennett\"\", \"\"email\"\": \"\"robert66@examp\",161,,,,None,\"[\"\"avoid\"\", \"\"director\"\", \"\"everybody\"\"]\",,arXiv:2020.64953,10.2629/OAyN,Cell,2020,,,Stand-alone intermediate ability\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nexperiment_id: EXP-393268\ntitle: Effect of themselves on time\nmethodology:\n  design: RCT\n  sample_size: 237\n  duration_days: 116\nresults:\n- metric: efficacy\n  baseline: 34.76\n  endpoint: 73.98\n  p_value: 0.4055\n- metric: safety\n  baseline: 70.26\n  endpoint: 84.17\n  p_value: 0.253\n- metric: safety\n  baseline: 22.1\n  endpoint: 56.91\n  p_value: 0.1172\nconclusion: significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-393268</experiment_id>\n<title>Effect of themselves on time</title>\n<methodology>\n<design>RCT</design>\n<sample_size>237</sample_size>\n<duration_days>116</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.76</baseline>\n<endpoint>73.98</endpoint>\n<p_value>0.4055</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>70.26</baseline>\n<endpoint>84.17</endpoint>\n<p_value>0.253</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.1</baseline>\n<endpoint>56.91</endpoint>\n<p_value>0.1172</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ],\n  \"rx_id\": \"RX-5523111\",\n  \"date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-1120026\npatient_mrn: MRN-824701\norder_date: '2026-01-06'\npanel: CBC\nresults:\n- test: Glucose\n  value: 168.8\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 98.1\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 137.9\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 107.7\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6058191\"\npatient_mrn = \"MRN-113920\"\norder_date = \"2026-01-03\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 139.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 71.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 178.7\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 146.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 91.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 185.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 61.2\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"rx_id\": \"RX-7309915\",\n  \"patient_mrn\": \"MRN-389849\",\n  \"prescriber\": \"Briana Dickerson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-389849,Briana Dickerson,RX-7309915\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvast\",MRN-282226,Brenda Roberson,RX-8074644\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-937202,Jacob Taylor,RX-8384566\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-446981,Jessica Smith,RX-2483272\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\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", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I24</icd10>\n</assessment>\n<encounter_date>2026-01-06</encounter_date>\n<patient>\n<mrn>MRN-470382</mrn>\n<age>61</age>\n<gender>F</gender>\n</patient>\n<note_id>CN-3244099</note_id>\n<vitals>\n<bp>158/77</bp>\n<hr>112</hr>\n<temp_f>99.5</temp_f>\n</vitals>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-1995080\",\n  \"patient_mrn\": \"MRN-674224\",\n  \"prescriber\": \"Emily Herrera\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1995080</rx_id>\n<patient_mrn>MRN-674224</patient_mrn>\n<prescriber>Emily Herrera</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2024\"\ntotal_revenue = 5319249\nunits_sold = 96009\n[[channels]]\nname = \"wholesale\"\nrevenue = 941227\ngrowth = 26.4\n\n[[channels]]\nname = \"retail\"\nrevenue = 937409\ngrowth = 30.07\n\n[[top_products]]\nsku = \"SKU-2900\"\nsales = 81858\n\n[[top_products]]\nsku = \"SKU-8266\"\nsales = 123988\n\n[[top_products]]\nsku = \"SKU-9969\"\nsales = 32400\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-39289028\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\",\n  \"username\": \"rhodessharon\",\n  \"content\": \"City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.\",\n  \"timestamp\": \"2026-01-07T13:51:26.862472\",\n  \"hashtags\": [\n    \"#yet\",\n    \"#listen\"\n  ],\n  \"engagement\": {\n    \"likes\": 2391,\n    \"shares\": 751,\n    \"comments\": 108\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39289028</post_id>\n<platform>instagram</platform>\n<user_id>a2301bd9-5c11-406a-b2a8-1c1f96bbd31c</user_id>\n<username>rhodessharon</username>\n<content>City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.</content>\n<timestamp>2026-01-07T13:51:26.862472</timestamp>\n<hashtags>#yet</hashtags>\n<hashtags>#listen</hashtags>\n<engagement>\n<likes>2391</likes>\n<shares>751</shares>\n<comments>108</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-8547948\",\n  \"patient_mrn\": \"MRN-375584\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 136.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 110.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 77.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 164.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 53.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2022.79764\",\n  \"title\": \"Progressive exuding adapter\",\n  \"authors\": [\n    {\n      \"name\": \"Gary Johnson\",\n      \"affiliation\": \"Wolf Group\",\n      \"email\": \"jamie40@example.org\"\n    },\n    {\n      \"name\": \"Lisa Ortega\",\n      \"affiliation\": \"Wells, Flores and Cooper\",\n      \"email\": \"nicholas25@example.com\"\n    },\n    {\n      \"name\": \"Kimberly Alvarez\",\n      \"affiliation\": \"Lewis-Hunt\",\n      \"email\": \"bookersteven@example.com\"\n    }\n  ],\n  \"abstract\": \"Win both purpose hour professor table.\",\n  \"keywords\": [\n    \"office\",\n    \"during\",\n    \"more\",\n    \"apply\",\n    \"program\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1780/NyHo\"\n  },\n  \"citations\": 258,\n  \"funding_source\": \"Espinoza, Khan and Lowe\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.79764</paper_id>\n<title>Progressive exuding adapter</title>\n<authors>\n<name>Gary Johnson</name>\n<affiliation>Wolf Group</affiliation>\n<email>jamie40@example.org</email>\n</authors>\n<authors>\n<name>Lisa Ortega</name>\n<affiliation>Wells, Flores and Cooper</affiliation>\n<email>nicholas25@example.com</email>\n</authors>\n<authors>\n<name>Kimberly Alvarez</name>\n<affiliation>Lewis-Hunt</affiliation>\n<email>bookersteven@example.com</email>\n</authors>\n<abstract>Win both purpose hour professor table.</abstract>\n<keywords>office</keywords>\n<keywords>during</keywords>\n<keywords>more</keywords>\n<keywords>apply</keywords>\n<keywords>program</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1780/NyHo</doi>\n</publication>\n<citations>258</citations>\n<funding_source>Espinoza, Khan and Lowe</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Optional bottom-line complexity API\n  version: 1.0.0\npaths:\n  /traditional:\n    get:\n      summary: Discussion then kind hair.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"product_id\": \"PROD-141484\",\n  \"name\": \"Managed bandwidth-monitored focus group\",\n  \"category\": \"books\",\n  \"price\": 751.35,\n  \"currency\": \"USD\",\n  \"stock\": 108,\n  \"is_available\": true,\n  \"rating\": 2.94,\n  \"reviews\": 250,\n  \"specs\": {\n    \"weight_kg\": 6.41,\n    \"dimensions\": \"15x82x35cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-141484\nname: Managed bandwidth-monitored focus group\ncategory: books\nprice: 751.35\ncurrency: USD\nstock: 108\nis_available: true\nrating: 2.94\nreviews: 250\nspecs:\n  weight_kg: 6.41\n  dimensions: 15x82x35cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-6036951\npatient_mrn: MRN-440463\nprescriber: Lisa Mathews\ndate: '2026-01-05'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.87801</paper_id>\n<title>Cross-group 24/7 methodology</title>\n<authors>\n<name>Scott Webb</name>\n<affiliation>Chapman LLC</affiliation>\n<email>juanbooth@example.com</email>\n</authors>\n<authors>\n<name>Robert Mullins</name>\n<affiliation>Robbins, Adkins and Rogers</affiliation>\n<email>michaeldunn@example.org</email>\n</authors>\n<abstract>Reality maybe court material response cell. Middle instead husband win thousand collection.</abstract>\n<keywords>girl</keywords>\n<keywords>face</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.4960/byWV</doi>\n</publication>\n<citations>193</citations>\n<funding_source>Williams Ltd</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.87801\",\n  \"title\": \"Cross-group 24/7 methodology\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Webb\",\n      \"affiliation\": \"Chapman LLC\",\n      \"email\": \"juanbooth@example.com\"\n    },\n    {\n      \"name\": \"Robert Mullins\",\n      \"affiliation\": \"Robbins, Adkins and Rogers\",\n      \"email\": \"michaeldunn@example.org\"\n    }\n  ],\n  \"abstract\": \"Reality maybe court material response cell. Middle instead husband win thousand collection.\",\n  \"keywords\": [\n    \"girl\",\n    \"face\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.4960/byWV\"\n  },\n  \"citations\": 193,\n  \"funding_source\": \"Williams Ltd\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78635818</post_id>\n<platform>facebook</platform>\n<user_id>a739269a-9642-463c-9c88-cb97c795c8d8</user_id>\n<username>kevin10</username>\n<content>Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.</content>\n<timestamp>2026-01-07T13:51:25.965362</timestamp>\n<hashtags>#model</hashtags>\n<hashtags>#firm</hashtags>\n<engagement>\n<likes>3831</likes>\n<shares>379</shares>\n<comments>204</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-78635818\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"a739269a-9642-463c-9c88-cb97c795c8d8\",\n  \"username\": \"kevin10\",\n  \"content\": \"Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.\",\n  \"timestamp\": \"2026-01-07T13:51:25.965362\",\n  \"hashtags\": [\n    \"#model\",\n    \"#firm\"\n  ],\n  \"engagement\": {\n    \"likes\": 3831,\n    \"shares\": 379,\n    \"comments\": 204\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"product_id\": \"PROD-361703\",\n  \"name\": \"Grass-roots methodical neural-net\",\n  \"category\": \"books\",\n  \"price\": 156.58,\n  \"currency\": \"USD\",\n  \"stock\": 3,\n  \"is_available\": true,\n  \"rating\": 3.73,\n  \"reviews\": 915,\n  \"specs\": {\n    \"weight_kg\": 25.41,\n    \"dimensions\": \"90x40x81cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-361703\"\nname = \"Grass-roots methodical neural-net\"\ncategory = \"books\"\nprice = 156.58\ncurrency = \"USD\"\nstock = 3\nis_available = true\nrating = 3.73\nreviews = 915\n\n[specs]\nweight_kg = 25.41\ndimensions = \"90x40x81cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 2d978d26-6fd7-4641-b202-43ebc0760711\ntimestamp: '2026-01-07T13:51:26.663970'\nlevel: WARNING\nservice: someoneService\nmessage: Inside live none value unit Republican black.\nstack_trace:\n- at role.py:276\n- at loss.py:371\ncontext:\n  user_id: 26f1b94c-c76e-47ab-9121-a3f8ec11053f\n  request_id: ce096dca-f53f-40bf-822d-ed29d8ca8dd9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Mcintyre, French and Sherman</company>\n<ticker>GRIC</ticker>\n<quarter>Q4 2021</quarter>\n<revenue>78125638</revenue>\n<expenses>13448897</expenses>\n<net_income>14876002</net_income>\n<eps>9.04</eps>\n<metrics>\n<profit_margin>9.81</profit_margin>\n<roe>23.34</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Dunlap and Sons\nticker: ZCXM\nquarter: Q4 2023\nrevenue: 81249082\nexpenses: 18693840\nnet_income: 12826022\neps: 7.61\nmetrics:\n  profit_margin: 21.93\n  roe: 10.11\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: May 2020\ntotal_revenue: 4703125\nunits_sold: 95535\nchannels:\n- name: wholesale\n  revenue: 291081\n  growth: 13.08\n- name: online\n  revenue: 3224717\n  growth: 19.89\ntop_products:\n- sku: SKU-1104\n  sales: 202228\n- sku: SKU-8974\n  sales: 366825\n- sku: SKU-9026\n  sales: 369219\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Balanced static customer loyalty API\"\nversion = \"1.0.0\"\n\n[paths.\"/stay\".get]\nsummary = \"Dog where production window window form hotel.\"\n[[paths.\"/stay\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/stay\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/stay\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-8422\ncode: OMY437\ntitle: Optimized upward-trending conglomeration 101\ninstructor: Rodney Anderson\ncredits: 3\nterm: Spring 2023\nschedule:\n- week: 1\n  topic: answer\n- week: 2\n  topic: best\n- week: 3\n  topic: meet\n- week: 4\n  topic: simple\n- week: 5\n  topic: peace\n- week: 6\n  topic: upon\n- week: 7\n  topic: power\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\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", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-1129442</note_id>\n<patient>\n<mrn>MRN-895859</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>127/81</bp>\n<hr>117</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2022\ntotal_revenue: 7287772\nunits_sold: 8566\nchannels:\n- name: retail\n  revenue: 931216\n  growth: 10.96\n- name: wholesale\n  revenue: 1224016\n  growth: 31.92\ntop_products:\n- sku: SKU-1474\n  sales: 19268\n- sku: SKU-3289\n  sales: 31397\n- sku: SKU-4950\n  sales: 322920\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-5704\ncode: BXM405\ntitle: Profit-focused responsive throughput 101\ninstructor: Emily Bryan\ncredits: 3\nterm: Spring 2021\nschedule:\n- week: 1\n  topic: southern\n- week: 2\n  topic: raise\n- week: 3\n  topic: across\n- week: 4\n  topic: teacher\n- week: 5\n  topic: service\n- week: 6\n  topic: body\n- week: 7\n  topic: practice\n- week: 8\n  topic: authority\n- week: 9\n  topic: throw\n- week: 10\n  topic: second\n- week: 11\n  topic: authority\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 0340ba39-8675-4ce7-a26c-314daf9a59fe\ntimestamp: '2026-01-06T09:43:32.633543'\nlevel: ERROR\nservice: goodService\nmessage: Purpose remain usually report.\nstack_trace:\n- at discuss.py:192\n- at artist.py:381\n- at safe.py:391\n- at course.py:266\ncontext:\n  user_id: 4ac8ea49-fb7c-44f9-bb01-ced755fa7cf8\n  request_id: ca5ac3bd-9fe7-4112-a928-203e522e958f\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Stand-alone dedicated complexity API\n  version: 1.0.0\npaths:\n  /hear:\n    get:\n      summary: Chance cultural sort including high.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5333\"\ncode = \"MXT288\"\ntitle = \"Extended user-facing migration 101\"\ninstructor = \"James Ryan\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"happen\"\n\n[[schedule]]\nweek = 2\ntopic = \"until\"\n\n[[schedule]]\nweek = 3\ntopic = \"majority\"\n\n[[schedule]]\nweek = 4\ntopic = \"free\"\n\n[[schedule]]\nweek = 5\ntopic = \"identify\"\n\n[[schedule]]\nweek = 6\ntopic = \"benefit\"\n\n[[schedule]]\nweek = 7\ntopic = \"among\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3766387\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J94\"\n\n[patient]\nmrn = \"MRN-378219\"\nage = 48\ngender = \"F\"\n\n[vitals]\nbp = \"145/101\"\nhr = 106\ntemp_f = 101.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.74861\"\ntitle = \"Enterprise-wide background neural-net\"\nabstract = \"Analysis left land member structure third card according. Class safe method.\"\nkeywords = [ \"dream\", \"benefit\", \"every\",]\ncitations = 184\n[[authors]]\nname = \"Joshua Martinez\"\naffiliation = \"Jackson Ltd\"\nemail = \"awilliams@example.net\"\n\n[[authors]]\nname = \"Lindsey Morrow\"\naffiliation = \"Thomas-Hays\"\nemail = \"alexander97@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2020\ndoi = \"10.6108/HONd\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-6224145\",\n  \"patient\": {\n    \"mrn\": \"MRN-560569\",\n    \"age\": 88,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"119/73\",\n    \"hr\": 63,\n    \"temp_f\": 100.0\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate error log data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>249c5a8d-effc-4f5a-9a18-79860cd86eba</error_id>\n<timestamp>2026-01-07T13:51:25.844189</timestamp>\n<level>CRITICAL</level>\n<service>createService</service>\n<message>Capital carry as agree member lead one.</message>\n<stack_trace>at sign.py:359</stack_trace>\n<stack_trace>at college.py:115</stack_trace>\n<stack_trace>at try.py:133</stack_trace>\n<context>\n<user_id>e110a198-5d8a-4242-b2e4-6ec6ae49ca80</user_id>\n<request_id>939e8b37-2ce6-4ba0-bde6-ca285c8d396c</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-86945311\nplatform: facebook\nuser_id: b9da037c-f6cd-4ced-8c95-ca7562cf6118\nusername: martinsteven\ncontent: Forget late prevent year cold able arrive. Few possible himself sing community.\n  Activity campaign sure south. Chance on none line best magazine education.\ntimestamp: '2026-01-07T13:51:26.810240'\nhashtags:\n- '#drop'\n- '#consider'\n- '#nature'\n- '#all'\nengagement:\n  likes: 3344\n  shares: 900\n  comments: 482\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"249c5a8d-effc-4f5a-9a18-79860cd86eba\",\n  \"timestamp\": \"2026-01-07T13:51:25.844189\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"createService\",\n  \"message\": \"Capital carry as agree member lead one.\",\n  \"stack_trace\": [\n    \"at sign.py:359\",\n    \"at college.py:115\",\n    \"at try.py:133\"\n  ],\n  \"context\": {\n    \"user_id\": \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\",\n    \"request_id\": \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-574681\"\ntitle = \"Effect of anyone on society\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 50.77\nendpoint = 70.83\np_value = 0.3046\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 96.52\nendpoint = 82.25\np_value = 0.0326\n\n[[results]]\nmetric = \"safety\"\nbaseline = 43.38\nendpoint = 72.88\np_value = 0.2787\n\n[[results]]\nmetric = \"safety\"\nbaseline = 17.71\nendpoint = 95.37\np_value = 0.4542\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 560\nduration_days = 320\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-830951\"\nname = \"Multi-layered tangible superstructure\"\ncategory = \"clothing\"\nprice = 269.31\ncurrency = \"USD\"\nstock = 322\nis_available = true\nrating = 2.21\nreviews = 733\n\n[specs]\nweight_kg = 46.04\ndimensions = \"75x77x31cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.47681\ntitle: Devolved bi-directional info-mediaries\nauthors:\n- name: Christian Randolph\n  affiliation: Hunt-Haynes\n  email: patrickmaddox@example.net\n- name: Allen Lewis\n  affiliation: Owen PLC\n  email: alexanderhenry@example.net\n- name: Cody Martin\n  affiliation: Mcknight PLC\n  email: michael00@example.org\nabstract: Help field ten it. Pick eight last star pull. Act politics discuss.\nkeywords:\n- hard\n- open\n- right\n- could\n- sea\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.8057/cNYF\ncitations: 411\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2022\ntotal_revenue: 6033804\nunits_sold: 27183\nchannels:\n- name: wholesale\n  revenue: 4147239\n  growth: 40.37\n- name: online\n  revenue: 2663137\n  growth: 9.96\ntop_products:\n- sku: SKU-2538\n  sales: 420940\n- sku: SKU-8680\n  sales: 364206\n- sku: SKU-2062\n  sales: 350623\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need transaction record details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-19481816\"\ncustomer_id = \"56fef848-852f-43b5-97b9-807ae99ac1d6\"\ntimestamp = \"2026-01-06T09:43:30.522776\"\nsubtotal = 97.75\ntax = 19.8\ntotal = 448.5\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-10721\"\nqty = 3\nprice = 443.77\n\n[[items]]\nsku = \"SKU-47310\"\nqty = 4\nprice = 33.87\n\n[[items]]\nsku = \"SKU-40807\"\nqty = 2\nprice = 128.71\n\n[[items]]\nsku = \"SKU-66016\"\nqty = 3\nprice = 347.45\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need prescription details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-4817925\"\npatient_mrn = \"MRN-731015\"\nprescriber = \"Brittany Pugh\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,is_available,keywords,paper_id,price,publication_doi,publication_venue,publication_year,rating,specs_dimensions,specs_weight_kg,stock,title\r\n,,,,True,,,743.81,,,,2.69,19x24x69cm,41.33,485,\r\nReduce number argue yeah produce. Source film go make. Nature nothing here conference meet various l,\"[{\"\"name\"\": \"\"Christina Williams\"\", \"\"affiliation\"\": \"\"Roberts-Johnson\"\", \"\"email\"\": \"\"nicholas17@example.net\"\"}\",23,None,,\"[\"\"require\"\", \"\"plan\"\", \"\"defense\"\", \"\"resource\"\", \"\"policy\"\"]\",arXiv:2020.69832,,10.3255/smIw,Cell,2020,,,,,Secured demand-driven concept\r\nIdentify baby national scene happy account. Within character firm. Marriage guess science win police,\"[{\"\"name\"\": \"\"Jacob Dean\"\", \"\"affiliation\"\": \"\"Nguyen LLC\"\", \"\"email\"\": \"\"alexanderkim@example.org\"\"}, {\"\"name\"\": \",281,None,,\"[\"\"accept\"\", \"\"exactly\"\", \"\"TV\"\"]\",arXiv:2024.85912,,10.3622/xxlQ,Science,2023,,,,,Optimized 6thgeneration data-warehouse\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-784600</contract_id>\n<parties>\n<name>Snyder-Thornton</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Oliver Group</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>16</term_months>\n<value>53888</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-784600\",\n  \"parties\": [\n    {\n      \"name\": \"Snyder-Thornton\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Oliver Group\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 16,\n  \"value\": 53888,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-2341842\",\n  \"patient\": {\n    \"mrn\": \"MRN-739833\",\n    \"age\": 85,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-01\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"174/60\",\n    \"hr\": 60,\n    \"temp_f\": 98.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I65\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J29\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2341842</note_id>\n<patient>\n<mrn>MRN-739833</mrn>\n<age>85</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-01</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>174/60</bp>\n<hr>60</hr>\n<temp_f>98.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I65</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J29</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-8293808\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J39\"\n\n[patient]\nmrn = \"MRN-980604\"\nage = 24\ngender = \"F\"\n\n[vitals]\nbp = \"150/98\"\nhr = 93\ntemp_f = 102.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-3793814\",\n  \"patient_mrn\": \"MRN-247204\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 197.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 193.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 197.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 109.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"February 2022\",\n  \"total_revenue\": 6033804,\n  \"units_sold\": 27183,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4147239,\n      \"growth\": 40.37\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2663137,\n      \"growth\": 9.96\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2538\",\n      \"sales\": 420940\n    },\n    {\n      \"sku\": \"SKU-8680\",\n      \"sales\": 364206\n    },\n    {\n      \"sku\": \"SKU-2062\",\n      \"sales\": 350623\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2022</period>\n<total_revenue>6033804</total_revenue>\n<units_sold>27183</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>4147239</revenue>\n<growth>40.37</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2663137</revenue>\n<growth>9.96</growth>\n</channels>\n<top_products>\n<sku>SKU-2538</sku>\n<sales>420940</sales>\n</top_products>\n<top_products>\n<sku>SKU-8680</sku>\n<sales>364206</sales>\n</top_products>\n<top_products>\n<sku>SKU-2062</sku>\n<sales>350623</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"product_id\": \"PROD-125540\",\n  \"name\": \"Universal eco-centric approach\",\n  \"category\": \"books\",\n  \"price\": 208.68,\n  \"currency\": \"USD\",\n  \"stock\": 879,\n  \"is_available\": true,\n  \"rating\": 4.53,\n  \"reviews\": 925,\n  \"specs\": {\n    \"weight_kg\": 20.35,\n    \"dimensions\": \"45x91x83cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Universal eco-centric approach,208.68,PROD-125540,4.53,925,45x91x83cm,20.35,879\r\nbooks,USD,True,Customer-focused zero administration website,311.67,PROD-727436,3.4,405,97x86x37cm,0.96,903\r\nclothing,USD,True,Devolved actuating support,776.46,PROD-215173,3.11,541,46x35x23cm,6.82,573\r\nbooks,USD,True,Diverse next generation methodology,15.2,PROD-691282,2.95,528,33x85x28cm,23.35,239\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-8422\",\n  \"code\": \"OMY437\",\n  \"title\": \"Optimized upward-trending conglomeration 101\",\n  \"instructor\": \"Rodney Anderson\",\n  \"credits\": 3,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"answer\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"best\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"simple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"peace\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"upon\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"power\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need sales analytics details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2021\"\ntotal_revenue = 8185412\nunits_sold = 3483\n[[channels]]\nname = \"wholesale\"\nrevenue = 3218862\ngrowth = 29.44\n\n[[channels]]\nname = \"retail\"\nrevenue = 3184494\ngrowth = 27.03\n\n[[top_products]]\nsku = \"SKU-7945\"\nsales = 185289\n\n[[top_products]]\nsku = \"SKU-9879\"\nsales = 299805\n\n[[top_products]]\nsku = \"SKU-3858\"\nsales = 212639\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-631747,LAB-6812810,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 54.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 70.8, \"\"un\"\r\n2026-01-04,CBC,MRN-376051,LAB-2943982,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 103.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-06,CBC,MRN-685323,LAB-5761749,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 73.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-03,Lipid,MRN-350635,LAB-7629411,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 177.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 167.8, \"\"\"\r\n2026-01-05,Lipid,MRN-381814,LAB-9539281,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 136.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8293808</note_id>\n<patient>\n<mrn>MRN-980604</mrn>\n<age>24</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>150/98</bp>\n<hr>93</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J39</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-8293808\",\n  \"patient\": {\n    \"mrn\": \"MRN-980604\",\n    \"age\": 24,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"150/98\",\n    \"hr\": 93,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J39\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"order_date\": \"2026-01-05\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 52.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 146.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ],\n  \"panel\": \"Lipid\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1192\"\ncode = \"ZNH157\"\ntitle = \"Extended didactic policy 101\"\ninstructor = \"Mario Gonzalez\"\ncredits = 3\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"base\"\n\n[[schedule]]\nweek = 2\ntopic = \"of\"\n\n[[schedule]]\nweek = 3\ntopic = \"think\"\n\n[[schedule]]\nweek = 4\ntopic = \"other\"\n\n[[schedule]]\nweek = 5\ntopic = \"you\"\n\n[[schedule]]\nweek = 6\ntopic = \"boy\"\n\n[[schedule]]\nweek = 7\ntopic = \"after\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-817642\",\n  \"student_id\": \"STU-222420\",\n  \"course_id\": \"CRS-8326\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 60,\n  \"percentage\": 56.31,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2020</period>\n<total_revenue>2603625</total_revenue>\n<units_sold>51574</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1926384</revenue>\n<growth>34.29</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1062444</revenue>\n<growth>-1.99</growth>\n</channels>\n<top_products>\n<sku>SKU-3818</sku>\n<sales>48786</sales>\n</top_products>\n<top_products>\n<sku>SKU-7605</sku>\n<sales>408187</sales>\n</top_products>\n<top_products>\n<sku>SKU-6728</sku>\n<sales>223732</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-13058367\"\ncustomer_id = \"852e4544-1bd4-44f1-abf0-2ff01b4a4792\"\ntimestamp = \"2026-01-07T13:51:26.835091\"\nsubtotal = 408.33\ntax = 11.32\ntotal = 1142.29\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-47822\"\nqty = 3\nprice = 237.72\n\n[[items]]\nsku = \"SKU-38430\"\nqty = 4\nprice = 285.9\n\n[[items]]\nsku = \"SKU-22327\"\nqty = 1\nprice = 141.71\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following CSV to XML:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,a05e806a-f592-4611-8d80-dbe2773bec40,162209b9-e3ae-4c7a-af39-f96af44cdcaa,8ef553f5-74fa-47eb-bfcb-571b6fa73c35,,,WARNING,Professional pull soon.,,,,,radioService,\"[\"\"at eye.py:220\"\", \"\"at short.py:148\"\", \"\"at the.py:448\"\"]\",2026-01-07T13:51:27.105544,\r\nTraining another stuff audience lot. Area throw spring house provide dog themselves. Understand that,\"[{\"\"name\"\": \"\"Amanda Nelson\"\", \"\"affiliation\"\": \"\"Mcdonald, Evans and Harmon\"\", \"\"email\"\": \"\"leeandrew@example.\",339,,,,Knapp-Graham,\"[\"\"fish\"\", \"\"particularly\"\", \"\"brother\"\", \"\"sit\"\"]\",,,arXiv:2021.90885,10.1009/VVyo,Cell,2022,,,,Visionary interactive time-frame\r\n\"Drive eight government drive rich your.\nEconomic seem despite case avoid. Manage thus policy continu\",\"[{\"\"name\"\": \"\"Zachary Anderson Jr.\"\", \"\"affiliation\"\": \"\"Watson-James\"\", \"\"email\"\": \"\"laurasmith@example.net\"\"},\",315,,,,Ramos Group,\"[\"\"relationship\"\", \"\"develop\"\", \"\"question\"\"]\",,,arXiv:2021.84172,10.2976/QDxs,Nature,2021,,,,Customizable motivating moderator\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8ef553f5-74fa-47eb-bfcb-571b6fa73c35</error_id>\n<timestamp>2026-01-07T13:51:27.105544</timestamp>\n<level>WARNING</level>\n<service>radioService</service>\n<message>Professional pull soon.</message>\n<stack_trace>at eye.py:220</stack_trace>\n<stack_trace>at short.py:148</stack_trace>\n<stack_trace>at the.py:448</stack_trace>\n<context>\n<user_id>162209b9-e3ae-4c7a-af39-f96af44cdcaa</user_id>\n<request_id>a05e806a-f592-4611-8d80-dbe2773bec40</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-30876983\ncustomer_id: b5aca191-66fe-49e0-85ce-2d363d5ef454\ntimestamp: '2026-01-07T13:51:26.163076'\nitems:\n- sku: SKU-56664\n  qty: 2\n  price: 285.83\n- sku: SKU-25305\n  qty: 1\n  price: 45.15\n- sku: SKU-78820\n  qty: 4\n  price: 47.49\nsubtotal: 199.93\ntax: 118.13\ntotal: 913.78\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-7369893\"\npatient_mrn = \"MRN-465889\"\nprescriber = \"Brittany Martin\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Moore-Thompson\nticker: XFVE\nquarter: Q2 2022\nrevenue: 73324772\nexpenses: 43130054\nnet_income: 18329728\neps: 9.88\nmetrics:\n  profit_margin: 22.03\n  roe: 10.54\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-524008\",\n  \"name\": \"Implemented multimedia focus group\",\n  \"category\": \"electronics\",\n  \"price\": 524.9,\n  \"currency\": \"USD\",\n  \"stock\": 714,\n  \"is_available\": true,\n  \"rating\": 2.56,\n  \"reviews\": 633,\n  \"specs\": {\n    \"weight_kg\": 40.1,\n    \"dimensions\": \"80x44x77cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-59844758\ntimestamp: '2026-01-07T13:51:27.358144'\nhashtags:\n- '#population'\n- '#during'\n- '#executive'\n- '#house'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-9623152\nheadline: Fundamental cohesive framework\nauthor: Nicole Jackson\npublished: '2026-01-01T10:45:50.964777'\nsection: Tech\ncontent: 'Threat bad these management require. Individual program situation guess\n  program help present. Control large citizen cell.\n\n  Window strong of sell surface the. Town possible better I thing cut. Name father\n  cost when.'\ntags:\n- me\n- involve\n- pay\n- policy\n- charge\nviews: 73519\nshares: 2342\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaths:\n  /population:\n    get:\n      summary: Lead room develop man according street century.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\ninfo:\n  title: Ameliorated radical initiative API\n  version: 1.0.0\nopenapi: 3.0.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this JSON data into YAML format:\n{\n  \"article_id\": \"ART-1823437\",\n  \"headline\": \"Integrated content-based throughput\",\n  \"author\": \"Anna Ortiz\",\n  \"published\": \"2026-01-05T06:32:59.977242\",\n  \"section\": \"Politics\",\n  \"content\": \"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\\nFilm traditional together still member. Culture let serve home.\\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.\",\n  \"tags\": [\n    \"base\",\n    \"fight\",\n    \"test\"\n  ],\n  \"views\": 75522,\n  \"shares\": 3070\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id: ART-1823437\nheadline: Integrated content-based throughput\nauthor: Anna Ortiz\npublished: '2026-01-05T06:32:59.977242'\nsection: Politics\ncontent: 'Success off activity him process hot whose pay. Most probably including\n  at arm avoid media finally.\n\n  Film traditional together still member. Culture let serve home.\n\n  Choose free minute in rich after image. Family meet health offer total leave media.\n  Education enter against foreign.'\ntags:\n- base\n- fight\n- test\nviews: 75522\nshares: 3070\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Grass-roots 6thgeneration ability API\n  version: 1.0.0\npaths:\n  /million:\n    get:\n      summary: About little above investment already magazine.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.10600\ntitle: Reactive bi-directional middleware\nauthors:\n- name: Sarah Rose\n  affiliation: Martin, Taylor and Mills\n  email: adrianporter@example.com\n- name: Samantha Garcia\n  affiliation: Santiago LLC\n  email: cbrewer@example.net\nabstract: Carry prove certain tell event break. Thus not actually teacher girl perhaps.\nkeywords:\n- public\n- stock\n- student\n- hair\n- hard\npublication:\n  venue: Cell\n  year: 2022\n  doi: 10.6112/KodW\ncitations: 273\nfunding_source: Salazar, Mullen and Johnson\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-64636774\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"180a1898-015f-483f-94a7-e771a6fb148e\",\n  \"username\": \"melissa16\",\n  \"content\": \"Use Mr only week. Crime form attention. Right world stand surface rate three.\",\n  \"timestamp\": \"2026-01-07T13:51:26.942814\",\n  \"hashtags\": [\n    \"#economic\",\n    \"#speak\"\n  ],\n  \"engagement\": {\n    \"likes\": 9998,\n    \"shares\": 653,\n    \"comments\": 4\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-64636774</post_id>\n<platform>instagram</platform>\n<user_id>180a1898-015f-483f-94a7-e771a6fb148e</user_id>\n<username>melissa16</username>\n<content>Use Mr only week. Crime form attention. Right world stand surface rate three.</content>\n<timestamp>2026-01-07T13:51:26.942814</timestamp>\n<hashtags>#economic</hashtags>\n<hashtags>#speak</hashtags>\n<engagement>\n<likes>9998</likes>\n<shares>653</shares>\n<comments>4</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Determine live compare center as direction. Eye experience low wear. If south level.\nWorry expect st\",146,2214,878,\"[\"\"#culture\"\", \"\"#whole\"\", \"\"#central\"\"]\",facebook,POST-18209344,2026-01-07T13:51:27.602464,8880ae5d-22ce-466e-ac5d-224201417b5e,xmcbride\r\nRead hundred fire democratic class computer not second. System whom possible leader conference finis,490,1695,292,\"[\"\"#less\"\", \"\"#far\"\", \"\"#determine\"\"]\",instagram,POST-71900733,2026-01-07T13:51:27.603972,8ae3dfa0-cd37-472f-8775-1e4c1e3b39e3,briangriffin\r\nWest exist growth nor several. View time suddenly rest. Recognize show second with manage parent cap,196,246,604,\"[\"\"#my\"\", \"\"#reduce\"\", \"\"#lawyer\"\", \"\"#join\"\"]\",twitter,POST-94789158,2026-01-07T13:51:27.604355,df8a6bb0-d59b-4683-843c-36e587452965,millsjohn\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nBrooks LLC,3.56,61265128,26.89,20.49,10426094,Q1 2020,30917299,HFOB\r\nMoore-Fisher,9.25,79657155,8.07,8.55,1215082,Q4 2021,65147243,ABGJ\r\nParsons Ltd,2.79,36392887,12.87,12.45,16676177,Q2 2020,63436953,DCLS\r\nDay PLC,1.43,27995430,23.59,13.33,1293190,Q1 2024,60094250,ORIH\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"paper_id\": \"arXiv:2023.67497\",\n  \"title\": \"Open-architected logistical paradigm\",\n  \"authors\": [\n    {\n      \"name\": \"William Martin\",\n      \"affiliation\": \"George, Nichols and Johnston\",\n      \"email\": \"crystal73@example.org\"\n    },\n    {\n      \"name\": \"Thomas Boyer\",\n      \"affiliation\": \"Powers, Miller and Johnston\",\n      \"email\": \"xhardin@example.com\"\n    },\n    {\n      \"name\": \"Tanner Coffey\",\n      \"affiliation\": \"Perez, Marks and Thomas\",\n      \"email\": \"tracywilliams@example.com\"\n    }\n  ],\n  \"abstract\": \"Yes eat up himself consumer. Technology just debate bill live oil.\",\n  \"keywords\": [\n    \"each\",\n    \"on\",\n    \"perhaps\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.2923/Xnio\"\n  },\n  \"citations\": 265,\n  \"funding_source\": \"Smith Ltd\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67497</paper_id>\n<title>Open-architected logistical paradigm</title>\n<authors>\n<name>William Martin</name>\n<affiliation>George, Nichols and Johnston</affiliation>\n<email>crystal73@example.org</email>\n</authors>\n<authors>\n<name>Thomas Boyer</name>\n<affiliation>Powers, Miller and Johnston</affiliation>\n<email>xhardin@example.com</email>\n</authors>\n<authors>\n<name>Tanner Coffey</name>\n<affiliation>Perez, Marks and Thomas</affiliation>\n<email>tracywilliams@example.com</email>\n</authors>\n<abstract>Yes eat up himself consumer. Technology just debate bill live oil.</abstract>\n<keywords>each</keywords>\n<keywords>on</keywords>\n<keywords>perhaps</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.2923/Xnio</doi>\n</publication>\n<citations>265</citations>\n<funding_source>Smith Ltd</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8846154,Melanie Kennedy,\"Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\nIndeed use send \",Phased bifurcated instruction set,2026-01-02T14:27:49.190328,Sports,4081,\"[\"\"memory\"\", \"\"score\"\", \"\"game\"\", \"\"join\"\"]\",47684\r\nART-3613315,Anna Knight,\"Similar high have research crime bag table. Here attorney type true trial.\nEconomy word theory. Stay\",Multi-channeled global leverage,2026-01-06T01:37:20.071841,Sports,3909,\"[\"\"listen\"\", \"\"report\"\", \"\"president\"\", \"\"talk\"\", \"\"party\"\"]\",41311\r\nART-2769854,Jeffrey Marshall,Popular town open. Top must budget water important prepare. Condition side performance policy board.,Realigned multimedia secured line,2026-01-04T10:17:55.709215,Politics,2383,\"[\"\"much\"\", \"\"democratic\"\", \"\"camera\"\"]\",51309\r\nART-3204910,Kim Griffith,\"Reason today able police. Thus accept book rise measure manager international.\nEverything developmen\",Synchronized logistical Graphic Interface,2026-01-06T13:05:47.997886,Politics,1419,\"[\"\"recent\"\", \"\"man\"\", \"\"four\"\", \"\"authority\"\", \"\"though\"\"]\",46101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id = \"ART-8846154\"\nheadline = \"Phased bifurcated instruction set\"\nauthor = \"Melanie Kennedy\"\npublished = \"2026-01-02T14:27:49.190328\"\nsection = \"Sports\"\ncontent = \"Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\\nIndeed use send represent leader require. Cup attack instead discuss. Plan with character rule.\\nInformation mind company even serve. Experience pattern but certain she design speech.\"\ntags = [ \"memory\", \"score\", \"game\", \"join\",]\nviews = 47684\nshares = 4081\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.37044\"\ntitle = \"Centralized secondary benchmark\"\nabstract = \"Garden information industry play smile. Least girl hair might. Tough might think wear thing experience already say.\"\nkeywords = [ \"century\", \"great\", \"manage\", \"assume\",]\ncitations = 225\nfunding_source = \"Cook PLC\"\n[[authors]]\nname = \"Elizabeth Hardy\"\naffiliation = \"Cooper-Le\"\nemail = \"christy03@example.org\"\n\n[[authors]]\nname = \"Jeffrey Parker\"\naffiliation = \"Green and Sons\"\nemail = \"bakerrachel@example.org\"\n\n[[authors]]\nname = \"Mary Nichols\"\naffiliation = \"Spears-White\"\nemail = \"timothy16@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2020\ndoi = \"10.4810/XJNh\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7309915</rx_id>\n<patient_mrn>MRN-389849</patient_mrn>\n<prescriber>Briana Dickerson</prescriber>\n<date>2026-01-03</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", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-7309915\",\n  \"patient_mrn\": \"MRN-389849\",\n  \"prescriber\": \"Briana Dickerson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-18209344\"\nplatform = \"facebook\"\nuser_id = \"8880ae5d-22ce-466e-ac5d-224201417b5e\"\nusername = \"xmcbride\"\ncontent = \"Determine live compare center as direction. Eye experience low wear. If south level.\\nWorry expect style camera. Scene majority pay voice television professor.\"\ntimestamp = \"2026-01-07T13:51:27.602464\"\nhashtags = [ \"#culture\", \"#whole\", \"#central\",]\n\n[engagement]\nlikes = 2214\nshares = 878\ncomments = 146\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-78635818\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"a739269a-9642-463c-9c88-cb97c795c8d8\",\n  \"username\": \"kevin10\",\n  \"content\": \"Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.\",\n  \"timestamp\": \"2026-01-07T13:51:25.965362\",\n  \"hashtags\": [\n    \"#model\",\n    \"#firm\"\n  ],\n  \"engagement\": {\n    \"likes\": 3831,\n    \"shares\": 379,\n    \"comments\": 204\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-69367106</post_id>\n<platform>twitter</platform>\n<user_id>7643b70d-1c60-436f-974e-7bc6cee5e032</user_id>\n<username>gordonalexander</username>\n<content>See personal couple road president most next. Laugh teach lawyer character work present.\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.</content>\n<timestamp>2026-01-07T13:51:25.991400</timestamp>\n<hashtags>#PM</hashtags>\n<hashtags>#stage</hashtags>\n<hashtags>#government</hashtags>\n<engagement>\n<likes>1911</likes>\n<shares>761</shares>\n<comments>62</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-69367106\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"7643b70d-1c60-436f-974e-7bc6cee5e032\",\n  \"username\": \"gordonalexander\",\n  \"content\": \"See personal couple road president most next. Laugh teach lawyer character work present.\\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.\",\n  \"timestamp\": \"2026-01-07T13:51:25.991400\",\n  \"hashtags\": [\n    \"#PM\",\n    \"#stage\",\n    \"#government\"\n  ],\n  \"engagement\": {\n    \"likes\": 1911,\n    \"shares\": 761,\n    \"comments\": 62\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>3ee04eb7-6a96-4708-8070-7816402d081f</error_id>\n<timestamp>2026-01-07T13:51:26.236854</timestamp>\n<level>ERROR</level>\n<service>checkService</service>\n<message>Base information cell production decade back.</message>\n<stack_trace>at quality.py:463</stack_trace>\n<stack_trace>at but.py:317</stack_trace>\n<context>\n<user_id>9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b</user_id>\n<request_id>f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"3ee04eb7-6a96-4708-8070-7816402d081f\",\n  \"timestamp\": \"2026-01-07T13:51:26.236854\",\n  \"level\": \"ERROR\",\n  \"service\": \"checkService\",\n  \"message\": \"Base information cell production decade back.\",\n  \"stack_trace\": [\n    \"at quality.py:463\",\n    \"at but.py:317\"\n  ],\n  \"context\": {\n    \"user_id\": \"9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\",\n    \"request_id\": \"f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-1565761\npatient_mrn: MRN-226686\nprescriber: Regina Martin\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-2604144\",\n  \"patient_mrn\": \"MRN-906692\",\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 180.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 97.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 88.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 65.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 86.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 152.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-9700442\npatient:\n  mrn: MRN-460621\n  age: 77\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 105/88\n  hr: 64\n  temp_f: 99.7\nassessment:\n- problem: diabetes\n  icd10: K11\n- problem: diabetes\n  icd10: J94\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67497</paper_id>\n<title>Open-architected logistical paradigm</title>\n<authors>\n<name>William Martin</name>\n<affiliation>George, Nichols and Johnston</affiliation>\n<email>crystal73@example.org</email>\n</authors>\n<authors>\n<name>Thomas Boyer</name>\n<affiliation>Powers, Miller and Johnston</affiliation>\n<email>xhardin@example.com</email>\n</authors>\n<authors>\n<name>Tanner Coffey</name>\n<affiliation>Perez, Marks and Thomas</affiliation>\n<email>tracywilliams@example.com</email>\n</authors>\n<abstract>Yes eat up himself consumer. Technology just debate bill live oil.</abstract>\n<keywords>each</keywords>\n<keywords>on</keywords>\n<keywords>perhaps</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.2923/Xnio</doi>\n</publication>\n<citations>265</citations>\n<funding_source>Smith Ltd</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.67497\",\n  \"title\": \"Open-architected logistical paradigm\",\n  \"authors\": [\n    {\n      \"name\": \"William Martin\",\n      \"affiliation\": \"George, Nichols and Johnston\",\n      \"email\": \"crystal73@example.org\"\n    },\n    {\n      \"name\": \"Thomas Boyer\",\n      \"affiliation\": \"Powers, Miller and Johnston\",\n      \"email\": \"xhardin@example.com\"\n    },\n    {\n      \"name\": \"Tanner Coffey\",\n      \"affiliation\": \"Perez, Marks and Thomas\",\n      \"email\": \"tracywilliams@example.com\"\n    }\n  ],\n  \"abstract\": \"Yes eat up himself consumer. Technology just debate bill live oil.\",\n  \"keywords\": [\n    \"each\",\n    \"on\",\n    \"perhaps\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.2923/Xnio\"\n  },\n  \"citations\": 265,\n  \"funding_source\": \"Smith Ltd\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output student assessment as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-458464</assessment_id>\n<student_id>STU-453066</student_id>\n<course_id>CRS-7675</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>67</total_score>\n<percentage>65.79</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from CSV to TOML:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Relate make read game soldier new. Agree south attorney one century drive draw.\nReduce head tax cert\",\"[{\"\"name\"\": \"\"Ashley Hubbard\"\", \"\"affiliation\"\": \"\"Mcdonald-White\"\", \"\"email\"\": \"\"jenniferlong@example.net\"\"}, {\",65,Parsons Inc,\"[\"\"gas\"\", \"\"understand\"\", \"\"everything\"\", \"\"miss\"\"]\",arXiv:2024.49729,10.3465/hMKF,Cell,2024,Optimized fault-tolerant monitoring\r\nQuite personal enough like wrong. Type use social step lead action attack. Second high impact paper.,\"[{\"\"name\"\": \"\"Shawn Fischer\"\", \"\"affiliation\"\": \"\"Leblanc-Long\"\", \"\"email\"\": \"\"holmesmichelle@example.org\"\"}, {\"\"\",480,None,\"[\"\"speech\"\", \"\"language\"\", \"\"wife\"\", \"\"old\"\"]\",arXiv:2022.59733,10.1750/XgMv,Nature,2020,Re-engineered clear-thinking Internet solution\r\nAffect change either money commercial. Often allow wish suffer person.,\"[{\"\"name\"\": \"\"Shannon Huber\"\", \"\"affiliation\"\": \"\"Erickson-Flynn\"\", \"\"email\"\": \"\"singhjeffrey@example.org\"\"}, {\"\"\",229,None,\"[\"\"edge\"\", \"\"friend\"\", \"\"develop\"\", \"\"reflect\"\"]\",arXiv:2023.25133,10.6743/gNVb,Nature,2023,Innovative full-range projection\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2024.49729\"\ntitle = \"Optimized fault-tolerant monitoring\"\nabstract = \"Relate make read game soldier new. Agree south attorney one century drive draw.\\nReduce head tax certainly offer deal. Sister station adult seat wear.\"\nkeywords = [ \"gas\", \"understand\", \"everything\", \"miss\",]\ncitations = 65\nfunding_source = \"Parsons Inc\"\n[[authors]]\nname = \"Ashley Hubbard\"\naffiliation = \"Mcdonald-White\"\nemail = \"jenniferlong@example.net\"\n\n[[authors]]\nname = \"Erica Marshall\"\naffiliation = \"Calderon-Dalton\"\nemail = \"adouglas@example.org\"\n\n[[authors]]\nname = \"Mercedes Campbell\"\naffiliation = \"Davis-Lynch\"\nemail = \"yharris@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.3465/hMKF\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need customer review details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-8399257\nproduct_id: PROD-798159\nuser_id: 18b14e7b-57a6-4bdf-a123-3649fd07c96e\nrating: 4\ntitle: Social serve give learn they quality.\ncontent: 'Suffer modern real water yard discover. Tonight artist this letter last.\n\n  Lawyer resource forward article old bank.\n\n  Traditional security doctor yet war also.'\ndate: '2026-01-02'\nverified_purchase: false\nhelpful_votes: 2\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Versatile disintermediate core,888.49,PROD-580956,3.72,946,78x84x30cm,48.2,54\r\nbooks,USD,True,Profit-focused multimedia frame,897.01,PROD-133342,1.98,939,22x83x19cm,41.79,850\r\nclothing,USD,True,Optimized mission-critical portal,36.57,PROD-169804,1.82,116,32x92x98cm,38.87,190\r\nelectronics,USD,True,Extended bifurcated strategy,799.79,PROD-729028,1.59,926,75x94x66cm,18.83,479\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Multi-layered tangible superstructure,269.31,PROD-830951,2.21,733,75x77x31cm,46.04,322\r\nelectronics,USD,True,Mandatory upward-trending infrastructure,395.22,PROD-328147,1.73,677,73x69x94cm,41.56,622\r\nelectronics,USD,True,Secured executive capability,246.96,PROD-697540,3.05,531,24x49x45cm,35.1,786\r\nclothing,USD,True,Profound foreground core,116.43,PROD-609593,2.78,701,65x36x23cm,32.7,540\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-33796851\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"aa32cdd3-72c6-4e38-bd5e-ff3918321d73\",\n  \"username\": \"qtownsend\",\n  \"content\": \"List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.\",\n  \"timestamp\": \"2026-01-07T13:51:26.038556\",\n  \"hashtags\": [\n    \"#study\",\n    \"#able\",\n    \"#week\"\n  ],\n  \"engagement\": {\n    \"likes\": 3006,\n    \"shares\": 53,\n    \"comments\": 61\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-33796851</post_id>\n<platform>instagram</platform>\n<user_id>aa32cdd3-72c6-4e38-bd5e-ff3918321d73</user_id>\n<username>qtownsend</username>\n<content>List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.</content>\n<timestamp>2026-01-07T13:51:26.038556</timestamp>\n<hashtags>#study</hashtags>\n<hashtags>#able</hashtags>\n<hashtags>#week</hashtags>\n<engagement>\n<likes>3006</likes>\n<shares>53</shares>\n<comments>61</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<grade>C</grade>\n<date>2026-01-01</date>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    }\n  ],\n  \"grade\": \"C\",\n  \"date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1681251\nproduct_id: PROD-380005\nuser_id: 6ee75bbe-7aec-42b2-b8ce-db908c5fbc3a\nrating: 3\ntitle: Floor measure may hear dark at.\ncontent: 'Us board wonder trouble. Up as inside party growth seat. College late direction\n  amount best team.\n\n  Fish gas end appear mother assume. Anyone major game miss similar argue. Moment\n  describe require.'\ndate: '2026-01-05'\nverified_purchase: true\nhelpful_votes: 21\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-247204,LAB-3793814,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 188.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 197\"\r\n2026-01-01,Lipid,MRN-509855,LAB-9065382,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 64.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 111\"\r\n2026-01-05,Lipid,MRN-726592,LAB-2590959,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 90.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 17\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-361703\",\n  \"name\": \"Grass-roots methodical neural-net\",\n  \"category\": \"books\",\n  \"price\": 156.58,\n  \"currency\": \"USD\",\n  \"stock\": 3,\n  \"is_available\": true,\n  \"rating\": 3.73,\n  \"reviews\": 915,\n  \"specs\": {\n    \"weight_kg\": 25.41,\n    \"dimensions\": \"90x40x81cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-361703</product_id>\n<name>Grass-roots methodical neural-net</name>\n<category>books</category>\n<price>156.58</price>\n<currency>USD</currency>\n<stock>3</stock>\n<is_available>True</is_available>\n<rating>3.73</rating>\n<reviews>915</reviews>\n<specs>\n<weight_kg>25.41</weight_kg>\n<dimensions>90x40x81cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need clinical note details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-9436830\npatient:\n  mrn: MRN-199885\n  age: 56\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 148/67\n  hr: 107\n  temp_f: 102.0\nassessment:\n- problem: diabetes\n  icd10: J14\n- problem: diabetes\n  icd10: K93\n- problem: hypertension\n  icd10: I55\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4931466\"\npatient_mrn = \"MRN-913279\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 141.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 176.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 121.7\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 146.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 187.2\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 123.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3041313</note_id>\n<patient>\n<mrn>MRN-164256</mrn>\n<age>45</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>153/76</bp>\n<hr>98</hr>\n<temp_f>102.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I84</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J93</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-72432123\",\n  \"customer_id\": \"d14101dd-b47b-4916-b7e5-0ad54eefbb55\",\n  \"timestamp\": \"2026-01-07T13:51:26.808008\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-29323\",\n      \"qty\": 2,\n      \"price\": 70.49\n    },\n    {\n      \"sku\": \"SKU-65460\",\n      \"qty\": 3,\n      \"price\": 466.32\n    },\n    {\n      \"sku\": \"SKU-59283\",\n      \"qty\": 1,\n      \"price\": 149.96\n    },\n    {\n      \"sku\": \"SKU-68579\",\n      \"qty\": 2,\n      \"price\": 13.04\n    }\n  ],\n  \"subtotal\": 1301.16,\n  \"tax\": 124.54,\n  \"total\": 239.49,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-72432123</txn_id>\n<customer_id>d14101dd-b47b-4916-b7e5-0ad54eefbb55</customer_id>\n<timestamp>2026-01-07T13:51:26.808008</timestamp>\n<items>\n<sku>SKU-29323</sku>\n<qty>2</qty>\n<price>70.49</price>\n</items>\n<items>\n<sku>SKU-65460</sku>\n<qty>3</qty>\n<price>466.32</price>\n</items>\n<items>\n<sku>SKU-59283</sku>\n<qty>1</qty>\n<price>149.96</price>\n</items>\n<items>\n<sku>SKU-68579</sku>\n<qty>2</qty>\n<price>13.04</price>\n</items>\n<subtotal>1301.16</subtotal>\n<tax>124.54</tax>\n<total>239.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\nexperiment_id: EXP-574681\ntitle: Effect of anyone on society\nmethodology:\n  design: cohort\n  sample_size: 560\n  duration_days: 320\nresults:\n- metric: efficacy\n  baseline: 50.77\n  endpoint: 70.83\n  p_value: 0.3046\n- metric: efficacy\n  baseline: 96.52\n  endpoint: 82.25\n  p_value: 0.0326\n- metric: safety\n  baseline: 43.38\n  endpoint: 72.88\n  p_value: 0.2787\n- metric: safety\n  baseline: 17.71\n  endpoint: 95.37\n  p_value: 0.4542\nconclusion: non-significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-574681</experiment_id>\n<title>Effect of anyone on society</title>\n<methodology>\n<design>cohort</design>\n<sample_size>560</sample_size>\n<duration_days>320</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>50.77</baseline>\n<endpoint>70.83</endpoint>\n<p_value>0.3046</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>96.52</baseline>\n<endpoint>82.25</endpoint>\n<p_value>0.0326</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.38</baseline>\n<endpoint>72.88</endpoint>\n<p_value>0.2787</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>17.71</baseline>\n<endpoint>95.37</endpoint>\n<p_value>0.4542</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: c6e14566-270a-4a5f-a250-5239ca9174ac\ntimestamp: '2026-01-07T13:51:26.338486'\nlevel: ERROR\nservice: humanService\nmessage: Fear she east talk better central.\nstack_trace:\n- at college.py:218\n- at economy.py:209\n- at let.py:252\n- at whole.py:18\ncontext:\n  user_id: bda2bdb3-cc4e-4711-8927-aa42dc72d462\n  request_id: c7d51186-07ee-4743-a193-c5688ac0d6c5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate prescription data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-2317847\",\n  \"patient_mrn\": \"MRN-412331\",\n  \"prescriber\": \"Tammy Adams\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-1689\",\n  \"code\": \"NZW166\",\n  \"title\": \"Operative modular system engine 101\",\n  \"instructor\": \"David Chen\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"in\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"unit\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"wind\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"act\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"would\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"itself\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"tell\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"money\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"long\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39289028</post_id>\n<platform>instagram</platform>\n<user_id>a2301bd9-5c11-406a-b2a8-1c1f96bbd31c</user_id>\n<username>rhodessharon</username>\n<content>City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.</content>\n<timestamp>2026-01-07T13:51:26.862472</timestamp>\n<hashtags>#yet</hashtags>\n<hashtags>#listen</hashtags>\n<engagement>\n<likes>2391</likes>\n<shares>751</shares>\n<comments>108</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-39289028\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\",\n  \"username\": \"rhodessharon\",\n  \"content\": \"City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.\",\n  \"timestamp\": \"2026-01-07T13:51:26.862472\",\n  \"hashtags\": [\n    \"#yet\",\n    \"#listen\"\n  ],\n  \"engagement\": {\n    \"likes\": 2391,\n    \"shares\": 751,\n    \"comments\": 108\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Intuitive disintermediate website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reality>\n<get>\n<summary>Activity public whole paper there relationship tas</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reality>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Intuitive disintermediate website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reality\": {\n      \"get\": {\n        \"summary\": \"Activity public whole paper there relationship tas\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nnote_id: CN-1129442\npatient:\n  mrn: MRN-895859\n  age: 79\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 127/81\n  hr: 117\n  temp_f: 102.4\nassessment:\n- problem: hypertension\n  icd10: J46\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from YAML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-1129442\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J46\"\n\n[patient]\nmrn = \"MRN-895859\"\nage = 79\ngender = \"M\"\n\n[vitals]\nbp = \"127/81\"\nhr = 117\ntemp_f = 102.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"paper_id\": \"arXiv:2020.59386\",\n  \"title\": \"Self-enabling demand-driven application\",\n  \"authors\": [\n    {\n      \"name\": \"Keith Wilcox\",\n      \"affiliation\": \"Ruiz-Torres\",\n      \"email\": \"martinstephanie@example.org\"\n    },\n    {\n      \"name\": \"Jennifer Mccoy\",\n      \"affiliation\": \"Thompson-Marshall\",\n      \"email\": \"brianvelasquez@example.org\"\n    }\n  ],\n  \"abstract\": \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\",\n  \"keywords\": [\n    \"song\",\n    \"TV\",\n    \"southern\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.1369/MikD\"\n  },\n  \"citations\": 274,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2020.59386\"\ntitle = \"Self-enabling demand-driven application\"\nabstract = \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\"\nkeywords = [ \"song\", \"TV\", \"southern\",]\ncitations = 274\n[[authors]]\nname = \"Keith Wilcox\"\naffiliation = \"Ruiz-Torres\"\nemail = \"martinstephanie@example.org\"\n\n[[authors]]\nname = \"Jennifer Mccoy\"\naffiliation = \"Thompson-Marshall\"\nemail = \"brianvelasquez@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2020\ndoi = \"10.1369/MikD\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-956799,RCT,355,962,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 84.98, \"\"endpoint\"\": 18.54, \"\"p_value\"\": 0.3765}, {\"\"metric\"\": \"\"safety\",Effect of town on start\r\nsignificant,EXP-580673,cohort,88,909,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 60.21, \"\"endpoint\"\": 37.02, \"\"p_value\"\": 0.4775}, {\"\"metric\"\": \"\"safety\"\",\",Effect of onto on send\r\nsignificant,EXP-106016,cohort,61,918,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 89.45, \"\"endpoint\"\": 82.29, \"\"p_value\"\": 0.1138}, {\"\"metric\"\": \"\"safety\"\",\",Effect of quickly on fight\r\nnon-significant,EXP-748392,observational,266,290,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 54.86, \"\"endpoint\"\": 10.85, \"\"p_value\"\": 0.4488}, {\"\"metric\"\": \"\"efficacy\",Effect of probably on everything\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"credits\": 4,\n  \"course_id\": \"CRS-7759\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"around\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"college\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"fly\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"painting\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"size\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"off\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"point\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"light\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"nothing\"\n    }\n  ],\n  \"instructor\": \"Matthew Johnson\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-7759,4,40,30,30,Matthew Johnson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"meet\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"around\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"college\"\"}, {\"\"we\",,\r\nURJ468,CRS-8587,4,40,30,30,Sarah Brown,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"green\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"room\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"others\"\"}, {\"\"week\",Spring 2024,Networked homogeneous installation 101\r\nHRO409,CRS-5288,4,40,30,30,Anthony Bryan,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"range\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"believe\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"little\"\"}, {\"\"w\",Spring 2021,Quality-focused 24/7 artificial intelligence 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2021\ntotal_revenue: 8185412\nunits_sold: 3483\nchannels:\n- name: wholesale\n  revenue: 3218862\n  growth: 29.44\n- name: retail\n  revenue: 3184494\n  growth: 27.03\ntop_products:\n- sku: SKU-7945\n  sales: 185289\n- sku: SKU-9879\n  sales: 299805\n- sku: SKU-3858\n  sales: 212639\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-577861</assessment_id>\n<student_id>STU-664280</student_id>\n<course_id>CRS-8099</course_id>\n<type>exam</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>52</total_score>\n<percentage>81.98</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-577861,,CRS-8099,,2026-01-06,B,,,,,81.98,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-664280,,,52,exam\r\n,KAD248,CRS-2873,4,,,40,30,30,Michael Ortega,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"name\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"decision\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\"\",,,Spring 2021,Profit-focused discrete array 101,,\r\n,FLZ157,CRS-4989,4,,,40,30,30,Kimberly Ramirez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"remember\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"who\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"someone\"\"}, {\"\"w\",,,Fall 2023,Exclusive scalable protocol 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-239354\",\n  \"name\": \"User-centric tertiary contingency\",\n  \"category\": \"electronics\",\n  \"price\": 998.51,\n  \"currency\": \"USD\",\n  \"stock\": 842,\n  \"is_available\": true,\n  \"rating\": 2.36,\n  \"reviews\": 630,\n  \"specs\": {\n    \"weight_kg\": 0.61,\n    \"dimensions\": \"88x23x10cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-239354</product_id>\n<name>User-centric tertiary contingency</name>\n<category>electronics</category>\n<price>998.51</price>\n<currency>USD</currency>\n<stock>842</stock>\n<is_available>True</is_available>\n<rating>2.36</rating>\n<reviews>630</reviews>\n<specs>\n<weight_kg>0.61</weight_kg>\n<dimensions>88x23x10cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need clinical note details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6813259\npatient:\n  mrn: MRN-829723\n  age: 40\n  gender: M\nencounter_date: '2026-01-05'\nchief_complaint: headache\nvitals:\n  bp: 167/107\n  hr: 108\n  temp_f: 101.8\nassessment:\n- problem: diabetes\n  icd10: I96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Southern write three operation throw interest whether.\nDecade quality training employee. Financial o\",244,8106,850,\"[\"\"#report\"\", \"\"#newspaper\"\"]\",facebook,POST-52722833,2026-01-07T13:51:26.716888,d42576ea-a78d-4261-852d-cbcc2fd55da5,justin96\r\n\"Decide economic since ready. Ability brother box choose hour.\nLead magazine me audience city your tr\",495,2734,627,\"[\"\"#toward\"\", \"\"#finally\"\", \"\"#decade\"\"]\",instagram,POST-26775885,2026-01-07T13:51:26.718288,398b27fa-7844-4012-8de5-05fd6ae26bc0,brianwhite\r\n\"Conference cut service land citizen wish professional. Fish hour kitchen president.\nUnder yeah maybe\",345,6470,131,\"[\"\"#care\"\", \"\"#analysis\"\", \"\"#interesting\"\", \"\"#particularly\"\"]\",facebook,POST-23939977,2026-01-07T13:51:26.718626,8b8dbd2d-3349-483e-9c39-6b7b2bbea1c3,cserrano\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"result_id\": \"LAB-1056021\",\n  \"patient_mrn\": \"MRN-977601\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 124.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 114.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 119.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id = \"LAB-1056021\"\npatient_mrn = \"MRN-977601\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"WBC\"\nvalue = 124.0\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 114.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 70.6\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 119.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 171.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-52722833</post_id>\n<platform>facebook</platform>\n<user_id>d42576ea-a78d-4261-852d-cbcc2fd55da5</user_id>\n<username>justin96</username>\n<content>Southern write three operation throw interest whether.\nDecade quality training employee. Financial out position catch finish author. Past over in create.\nNice reduce try contain future back customer.</content>\n<timestamp>2026-01-07T13:51:26.716888</timestamp>\n<hashtags>#report</hashtags>\n<hashtags>#newspaper</hashtags>\n<engagement>\n<likes>8106</likes>\n<shares>850</shares>\n<comments>244</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5387789\"\npatient_mrn = \"MRN-887521\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"WBC\"\nvalue = 66.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 111.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 168.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 136.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 148.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 86.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,2026-01-06,CN-3823498,,,,131/104,84,99.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I70\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J87\"\"}]\",headache,2026-01-01,CN-9947361,30,M,MRN-432243,118/82,91,101.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K27\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K78\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-02,CN-6438068,31,F,MRN-257133,133/70,68,97.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J54\"\"}]\",fever,2026-01-04,CN-6728848,65,F,MRN-312542,152/101,70,102.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-6989453\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K53\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K93\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J50\"\n\n[patient]\nmrn = \"MRN-811058\"\nage = 46\ngender = \"M\"\n\n[vitals]\nbp = \"116/61\"\nhr = 117\ntemp_f = 99.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"assessment_id\": \"ASMT-893180\",\n  \"student_id\": \"STU-881633\",\n  \"course_id\": \"CRS-6394\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 98,\n  \"percentage\": 73.06,\n  \"grade\": \"A\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-893180</assessment_id>\n<student_id>STU-881633</student_id>\n<course_id>CRS-6394</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>98</total_score>\n<percentage>73.06</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-9595817</note_id>\n<patient>\n<mrn>MRN-972408</mrn>\n<age>32</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>102/103</bp>\n<hr>113</hr>\n<temp_f>102.5</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K99</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-9595817\",\n  \"patient\": {\n    \"mrn\": \"MRN-972408\",\n    \"age\": 32,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"102/103\",\n    \"hr\": 113,\n    \"temp_f\": 102.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K99\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3472120</rx_id>\n<patient_mrn>MRN-972429</patient_mrn>\n<prescriber>Matthew Bennett</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3472120\",\n  \"patient_mrn\": \"MRN-972429\",\n  \"prescriber\": \"Matthew Bennett\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-1995080\",\n  \"patient_mrn\": \"MRN-674224\",\n  \"prescriber\": \"Emily Herrera\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"note_id\": \"CN-9595817\",\n  \"patient\": {\n    \"mrn\": \"MRN-972408\",\n    \"age\": 32,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"102/103\",\n    \"hr\": 113,\n    \"temp_f\": 102.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K99\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-9595817\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K99\"\n\n[patient]\nmrn = \"MRN-972408\"\nage = 32\ngender = \"F\"\n\n[vitals]\nbp = \"102/103\"\nhr = 113\ntemp_f = 102.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.25827\"\ntitle = \"Stand-alone empowering policy\"\nabstract = \"Sing loss third score answer house arrive. Push value maintain she kitchen result. Difference road understand note I nice.\"\nkeywords = [ \"whose\", \"real\", \"another\", \"do\", \"anyone\",]\ncitations = 188\nfunding_source = \"Kennedy and Sons\"\n[[authors]]\nname = \"Monica Williams\"\naffiliation = \"Bradford-Taylor\"\nemail = \"stephenslisa@example.org\"\n\n[[authors]]\nname = \"Kimberly Rogers\"\naffiliation = \"Foster-Berg\"\nemail = \"josephmiller@example.org\"\n\n[[authors]]\nname = \"Sharon Morris\"\naffiliation = \"Travis PLC\"\nemail = \"mpayne@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.2438/BhYh\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.73738\ntitle: Switchable maximized Local Area Network\nauthors:\n- name: Heather Lee\n  affiliation: Garcia, Ellison and Kim\n  email: kimberlysimpson@example.com\n- name: Jeremy Gonzalez\n  affiliation: Wilson, Sanchez and Copeland\n  email: michelle83@example.com\n- name: Brianna Hart\n  affiliation: Shannon, Tran and Taylor\n  email: penatyler@example.net\nabstract: List son shake understand food. Up no police friend factor. Support company\n  yes push argue.\nkeywords:\n- fact\n- guess\n- truth\npublication:\n  venue: Cell\n  year: 2024\n  doi: 10.7028/ttmb\ncitations: 36\nfunding_source: Guerra, Richards and Schaefer\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-948175\nstudent_id: STU-160858\ncourse_id: CRS-5368\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 9\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 9\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\n- question: 8\n  points_earned: 3\n  points_possible: 10\n- question: 9\n  points_earned: 9\n  points_possible: 10\ntotal_score: 89\npercentage: 96.29\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate api specification data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/but_get_parameters,paths_/but_get_responses_200_description,paths_/but_get_responses_400_description,paths_/but_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Streamlined background database API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Policy of cut determine people before under.,,,,\r\n\"Both field low science building effort.\nSince prepare own range language reduce. Note marriage cultu\",\"[{\"\"name\"\": \"\"Stephen Patterson\"\", \"\"affiliation\"\": \"\"Rogers-Cohen\"\", \"\"email\"\": \"\"heidiburch@example.org\"\"}, {\"\"\",367,None,,,\"[\"\"to\"\", \"\"than\"\", \"\"design\"\", \"\"movie\"\"]\",,arXiv:2024.50972,,,,,10.7673/Kwul,Science,2023,Synergized national infrastructure\r\n\"Place five very type. Society people event message.\nBecause close old campaign exactly him affect bo\",\"[{\"\"name\"\": \"\"Amber Salazar\"\", \"\"affiliation\"\": \"\"Nash-Avery\"\", \"\"email\"\": \"\"carol47@example.net\"\"}, {\"\"name\"\": \"\"A\",293,\"Robinson, Humphrey and Mitchell\",,,\"[\"\"even\"\", \"\"whose\"\", \"\"speech\"\"]\",,arXiv:2024.87989,,,,,10.6217/vLzf,Science,2023,Networked disintermediate paradigm\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\ninstructor = \"Tamara Stark\"\nterm = \"Spring 2022\"\ncode = \"VMA483\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ninstructor: Tamara Stark\nterm: Spring 2022\ncode: VMA483\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-893180</assessment_id>\n<student_id>STU-881633</student_id>\n<course_id>CRS-6394</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>98</total_score>\n<percentage>73.06</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Optional bottom-line complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/traditional\": {\n      \"get\": {\n        \"summary\": \"Discussion then kind hair.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Optional bottom-line complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</traditional>\n<get>\n<summary>Discussion then kind hair.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//traditional>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2021.53732\",\n  \"title\": \"De-engineered exuding monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Joseph Johnson\",\n      \"affiliation\": \"Mccann, Romero and Ortiz\",\n      \"email\": \"wcook@example.org\"\n    },\n    {\n      \"name\": \"Mr. Henry Thomas\",\n      \"affiliation\": \"Clarke-Williams\",\n      \"email\": \"mlittle@example.com\"\n    }\n  ],\n  \"abstract\": \"Cut happen you after talk trial accept she. Country church development card. Learn support son service.\",\n  \"keywords\": [\n    \"positive\",\n    \"American\",\n    \"hand\",\n    \"sure\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2024,\n    \"doi\": \"10.3815/gTFt\"\n  },\n  \"citations\": 88,\n  \"funding_source\": \"Kim LLC\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.53732</paper_id>\n<title>De-engineered exuding monitoring</title>\n<authors>\n<name>Joseph Johnson</name>\n<affiliation>Mccann, Romero and Ortiz</affiliation>\n<email>wcook@example.org</email>\n</authors>\n<authors>\n<name>Mr. Henry Thomas</name>\n<affiliation>Clarke-Williams</affiliation>\n<email>mlittle@example.com</email>\n</authors>\n<abstract>Cut happen you after talk trial accept she. Country church development card. Learn support son service.</abstract>\n<keywords>positive</keywords>\n<keywords>American</keywords>\n<keywords>hand</keywords>\n<keywords>sure</keywords>\n<publication>\n<venue>Science</venue>\n<year>2024</year>\n<doi>10.3815/gTFt</doi>\n</publication>\n<citations>88</citations>\n<funding_source>Kim LLC</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.65510\"\ntitle = \"Mandatory solution-oriented groupware\"\nabstract = \"Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.\"\nkeywords = [ \"surface\", \"consumer\", \"despite\", \"compare\", \"protect\",]\ncitations = 488\nfunding_source = \"Johnson LLC\"\n[[authors]]\nname = \"Jared Fuller\"\naffiliation = \"Robinson, Crawford and Johnson\"\nemail = \"jenna58@example.net\"\n\n[[authors]]\nname = \"Nancy Anderson\"\naffiliation = \"Shannon-Johnson\"\nemail = \"richdonald@example.net\"\n\n[[authors]]\nname = \"Julia Neal\"\naffiliation = \"Roach, Harper and Cameron\"\nemail = \"gillcory@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.8909/Qnkv\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Thompson, Yang and Roberts\",\n  \"ticker\": \"ATOM\",\n  \"quarter\": \"Q1 2022\",\n  \"revenue\": 59725729,\n  \"expenses\": 36274579,\n  \"net_income\": 7802792,\n  \"eps\": 8.84,\n  \"metrics\": {\n    \"profit_margin\": 17.46,\n    \"roe\": 22.69\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Thompson, Yang and Roberts</company>\n<ticker>ATOM</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>59725729</revenue>\n<expenses>36274579</expenses>\n<net_income>7802792</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>17.46</profit_margin>\n<roe>22.69</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNHA456,CRS-2281,3,40,30,30,Natalie Middleton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"its\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"attorney\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"decision\"\"}, {\"\"\",Spring 2024,Profit-focused mission-critical hardware 101\r\nNMW222,CRS-2495,3,40,30,30,Kylie Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"trial\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"night\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"financial\"\"}, {\"\"\",Spring 2020,Ergonomic intangible product 101\r\nUMT270,CRS-2420,3,40,30,30,Katrina Jensen,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"national\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"through\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"seat\"\"}, {\"\"\",Spring 2020,Programmable national migration 101\r\nOFO453,CRS-6448,4,40,30,30,Jeffrey Nunez MD,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"above\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"nation\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"present\"\"}, {\"\"w\",Fall 2024,Team-oriented transitional success 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.67669\ntitle: Triple-buffered dedicated knowledgebase\nauthors:\n- name: Julie Mclaughlin\n  affiliation: Andrews Group\n  email: brianna81@example.org\n- name: Peggy Kramer\n  affiliation: Beasley, Edwards and Webb\n  email: susan35@example.com\nabstract: 'Account fish possible democratic ok no. Accept short mention guy.\n\n  Place finish religious mean end success. Travel into music they.'\nkeywords:\n- thank\n- far\n- fund\n- get\n- role\npublication:\n  venue: Nature\n  year: 2023\n  doi: 10.1349/JgWc\ncitations: 60\nfunding_source: Diaz-Salinas\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n,CBC,MRN-325515,LAB-3472932,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 124.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-04,Lipid,MRN-229723,LAB-1136409,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 164.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-04,CMP,MRN-791084,LAB-7895258,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 185.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-04,Lipid,MRN-155567,LAB-3291214,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 58.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 1\"\r\n2026-01-05,CMP,MRN-700168,LAB-5284839,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 167.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 87.2, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\ncourse_id = \"CRS-5704\"\ncode = \"BXM405\"\ntitle = \"Profit-focused responsive throughput 101\"\ninstructor = \"Emily Bryan\"\ncredits = 3\nterm = \"Spring 2021\"\n[[schedule]]\nweek = 1\ntopic = \"southern\"\n\n[[schedule]]\nweek = 2\ntopic = \"raise\"\n\n[[schedule]]\nweek = 3\ntopic = \"across\"\n\n[[schedule]]\nweek = 4\ntopic = \"teacher\"\n\n[[schedule]]\nweek = 5\ntopic = \"service\"\n\n[[schedule]]\nweek = 6\ntopic = \"body\"\n\n[[schedule]]\nweek = 7\ntopic = \"practice\"\n\n[[schedule]]\nweek = 8\ntopic = \"authority\"\n\n[[schedule]]\nweek = 9\ntopic = \"throw\"\n\n[[schedule]]\nweek = 10\ntopic = \"second\"\n\n[[schedule]]\nweek = 11\ntopic = \"authority\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5704</course_id>\n<code>BXM405</code>\n<title>Profit-focused responsive throughput 101</title>\n<instructor>Emily Bryan</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>southern</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>raise</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>across</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>teacher</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>service</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>authority</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>second</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>authority</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-3440\ncode: KLD251\ntitle: Reverse-engineered foreground infrastructure 101\ninstructor: Courtney Escobar\ncredits: 4\nterm: Spring 2022\nschedule:\n- week: 1\n  topic: despite\n- week: 2\n  topic: choose\n- week: 3\n  topic: action\n- week: 4\n  topic: couple\n- week: 5\n  topic: big\n- week: 6\n  topic: trade\n- week: 7\n  topic: measure\n- week: 8\n  topic: music\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/sea_get_parameters,paths_/sea_get_responses_200_description,paths_/sea_get_responses_400_description,paths_/sea_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Assimilated neutral archive API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Team happen challenge address expert manage beyond,,,,\r\nPeople begin standard church month.,\"[{\"\"name\"\": \"\"Wesley Griffith\"\", \"\"affiliation\"\": \"\"Gomez, Rogers and Erickson\"\", \"\"email\"\": \"\"stevensilva@exam\",56,None,,,\"[\"\"sometimes\"\", \"\"task\"\", \"\"none\"\", \"\"animal\"\", \"\"Republican\"\"]\",,arXiv:2021.98399,,,,,10.5743/MbeJ,Nature,2022,Devolved secondary artificial intelligence\r\nOld if wife open recognize establish. Whether hair personal check able name. Car reality later playe,\"[{\"\"name\"\": \"\"Tiffany Hardy\"\", \"\"affiliation\"\": \"\"Anderson, Ortega and Murphy\"\", \"\"email\"\": \"\"lucasbenson@examp\",141,None,,,\"[\"\"foot\"\", \"\"hour\"\", \"\"bit\"\", \"\"positive\"\", \"\"your\"\"]\",,arXiv:2021.14017,,,,,10.3231/ZsJR,Nature,2021,Balanced uniform product\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-6204\",\n  \"code\": \"WOR378\",\n  \"title\": \"Multi-channeled bi-directional implementation 101\",\n  \"instructor\": \"Charlene Houston\",\n  \"credits\": 4,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"under\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"good\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"grow\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"experience\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"offer\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"account\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 5010605,\n  \"units_sold\": 4486,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 4865933,\n      \"growth\": 41.22\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4636446,\n      \"growth\": 21.68\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3361\",\n      \"sales\": 360256\n    },\n    {\n      \"sku\": \"SKU-1576\",\n      \"sales\": 355717\n    },\n    {\n      \"sku\": \"SKU-8891\",\n      \"sales\": 396344\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-784600\nparties:\n- name: Snyder-Thornton\n  role: party_a\n- name: Oliver Group\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 16\nvalue: 53888\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need sales analytics details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nunits_sold = 95396\ntotal_revenue = 8092319\n[[channels]]\nname = \"wholesale\"\nrevenue = 1832792\ngrowth = 32.14\n\n[[channels]]\nname = \"retail\"\nrevenue = 1819935\ngrowth = 26.52\n\n[[top_products]]\nsku = \"SKU-8008\"\nsales = 57805\n\n[[top_products]]\nsku = \"SKU-2084\"\nsales = 374516\n\n[[top_products]]\nsku = \"SKU-3044\"\nsales = 154128\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-23430167</txn_id>\n<customer_id>7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064</customer_id>\n<timestamp>2026-01-07T13:51:26.046328</timestamp>\n<items>\n<sku>SKU-63492</sku>\n<qty>1</qty>\n<price>90.17</price>\n</items>\n<items>\n<sku>SKU-56350</sku>\n<qty>5</qty>\n<price>336.79</price>\n</items>\n<subtotal>152.9</subtotal>\n<tax>14.6</tax>\n<total>796.85</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntxn_id: TXN-23430167\ncustomer_id: 7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\ntimestamp: '2026-01-07T13:51:26.046328'\nitems:\n- sku: SKU-63492\n  qty: 1\n  price: 90.17\n- sku: SKU-56350\n  qty: 5\n  price: 336.79\nsubtotal: 152.9\ntax: 14.6\ntotal: 796.85\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-422317\",\n  \"student_id\": \"STU-280699\",\n  \"course_id\": \"CRS-7308\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 83.59,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-422317</assessment_id>\n<student_id>STU-280699</student_id>\n<course_id>CRS-7308</course_id>\n<type>exam</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>83.59</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9442688</rx_id>\n<patient_mrn>MRN-277514</patient_mrn>\n<prescriber>Timothy Goodman</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9442688\",\n  \"patient_mrn\": \"MRN-277514\",\n  \"prescriber\": \"Timothy Goodman\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>December 2023</period>\n<total_revenue>5338205</total_revenue>\n<units_sold>90572</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2316482</revenue>\n<growth>-1.07</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3744469</revenue>\n<growth>-0.81</growth>\n</channels>\n<top_products>\n<sku>SKU-4601</sku>\n<sales>454934</sales>\n</top_products>\n<top_products>\n<sku>SKU-9892</sku>\n<sales>55264</sales>\n</top_products>\n<top_products>\n<sku>SKU-8319</sku>\n<sales>254442</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"December 2023\",\n  \"total_revenue\": 5338205,\n  \"units_sold\": 90572,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2316482,\n      \"growth\": -1.07\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 3744469,\n      \"growth\": -0.81\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4601\",\n      \"sales\": 454934\n    },\n    {\n      \"sku\": \"SKU-9892\",\n      \"sales\": 55264\n    },\n    {\n      \"sku\": \"SKU-8319\",\n      \"sales\": 254442\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6224145</note_id>\n<patient>\n<mrn>MRN-560569</mrn>\n<age>88</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>119/73</bp>\n<hr>63</hr>\n<temp_f>100.0</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title,user_id,verified_purchase\r\n,,,2026-01-02,,,,,,,2,Nature prepare style hit cell feeling start societ,ccea0611-b57c-4ee0-9ab6-48c5cb4c2b4c,False\r\nShow poor recently box form between. Them actually hear teacher energy stock. Wear gas how push argu,\"[{\"\"name\"\": \"\"Jennifer Hobbs\"\", \"\"affiliation\"\": \"\"Tucker Ltd\"\", \"\"email\"\": \"\"jacoblyons@example.org\"\"}, {\"\"name\"\"\",435,,None,\"[\"\"school\"\", \"\"suggest\"\", \"\"travel\"\", \"\"of\"\"]\",arXiv:2021.89149,10.5093/hvUq,Science,2021,,Focused object-oriented intranet,,\r\nWithout success middle. Green usually smile top. Offer front business why.,\"[{\"\"name\"\": \"\"James Mann\"\", \"\"affiliation\"\": \"\"Gilmore-Romero\"\", \"\"email\"\": \"\"colleen02@example.net\"\"}, {\"\"name\"\":\",177,,None,\"[\"\"may\"\", \"\"language\"\", \"\"his\"\", \"\"officer\"\", \"\"now\"\"]\",arXiv:2020.63591,10.6408/hwDM,Cell,2023,,Up-sized secondary challenge,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nauthors:\n- name: Emily Davis\n  affiliation: Nelson, Diaz and Humphrey\n  email: jpalmer@example.org\n- name: Robert Clark\n  affiliation: James Inc\n  email: dennis02@example.net\npublication:\n  venue: Science\n  year: 2022\n  doi: 10.6797/tlMT\nkeywords:\n- lead\n- list\n- she\nfunding_source: null\npaper_id: arXiv:2022.72917\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Decentralized incremental solution,216.85,PROD-544449,1.08,181,42x54x58cm,5.15,751\r\nclothing,USD,True,Balanced exuding collaboration,52.28,PROD-343966,3.85,557,12x34x45cm,6.47,194\r\nelectronics,USD,True,Organized full-range intranet,196.14,PROD-323851,3.55,861,12x53x24cm,14.38,662\r\nbooks,USD,True,User-friendly methodical focus group,709.86,PROD-652756,3.14,454,65x27x44cm,15.22,48\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-5704\",\n  \"code\": \"BXM405\",\n  \"title\": \"Profit-focused responsive throughput 101\",\n  \"instructor\": \"Emily Bryan\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"southern\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"raise\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"across\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"teacher\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"service\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"authority\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"second\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"authority\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\npost_id = \"POST-39452168\"\nplatform = \"twitter\"\nuser_id = \"ca270bc8-d443-4389-880a-6fc8dd3e9fa5\"\nusername = \"robertowens\"\ncontent = \"With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\\nFactor even apply how three box light.\"\ntimestamp = \"2026-01-07T13:51:25.425211\"\nhashtags = [ \"#training\", \"#Democrat\", \"#pattern\", \"#discover\",]\n\n[engagement]\nlikes = 5319\nshares = 573\ncomments = 283\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id: POST-39452168\nplatform: twitter\nuser_id: ca270bc8-d443-4389-880a-6fc8dd3e9fa5\nusername: robertowens\ncontent: 'With writer dinner any kitchen add well. Floor image speech charge rate\n  manager vote. Worry involve benefit there nothing rock.\n\n  Factor even apply how three box light.'\ntimestamp: '2026-01-07T13:51:25.425211'\nhashtags:\n- '#training'\n- '#Democrat'\n- '#pattern'\n- '#discover'\nengagement:\n  likes: 5319\n  shares: 573\n  comments: 283\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntimestamp = \"2026-01-07T13:51:25.400660\"\ntxn_id = \"TXN-44773795\"\ncustomer_id = \"acd22e98-51a5-48fa-ad66-a69b8fba3f2b\"\ntax = 171.02\n[[items]]\nsku = \"SKU-41387\"\nqty = 1\nprice = 386.75\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-464030</contract_id>\n<parties>\n<name>Morales, Williams and Williams</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Ward-Miller</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>35</term_months>\n<value>994957</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-464030\",\n  \"parties\": [\n    {\n      \"name\": \"Morales, Williams and Williams\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Ward-Miller\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 35,\n  \"value\": 994957,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"249c5a8d-effc-4f5a-9a18-79860cd86eba\",\n  \"timestamp\": \"2026-01-07T13:51:25.844189\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"createService\",\n  \"message\": \"Capital carry as agree member lead one.\",\n  \"stack_trace\": [\n    \"at sign.py:359\",\n    \"at college.py:115\",\n    \"at try.py:133\"\n  ],\n  \"context\": {\n    \"user_id\": \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\",\n    \"request_id\": \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>249c5a8d-effc-4f5a-9a18-79860cd86eba</error_id>\n<timestamp>2026-01-07T13:51:25.844189</timestamp>\n<level>CRITICAL</level>\n<service>createService</service>\n<message>Capital carry as agree member lead one.</message>\n<stack_trace>at sign.py:359</stack_trace>\n<stack_trace>at college.py:115</stack_trace>\n<stack_trace>at try.py:133</stack_trace>\n<context>\n<user_id>e110a198-5d8a-4242-b2e4-6ec6ae49ca80</user_id>\n<request_id>939e8b37-2ce6-4ba0-bde6-ca285c8d396c</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4083407\"\npatient_mrn = \"MRN-510217\"\norder_date = \"2026-01-04\"\npanel = \"CBC\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 115.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 150.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 72.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 116.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 90.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"course_id\": \"CRS-8422\",\n  \"code\": \"OMY437\",\n  \"title\": \"Optimized upward-trending conglomeration 101\",\n  \"instructor\": \"Rodney Anderson\",\n  \"credits\": 3,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"answer\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"best\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"simple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"peace\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"upon\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"power\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8422</course_id>\n<code>OMY437</code>\n<title>Optimized upward-trending conglomeration 101</title>\n<instructor>Rodney Anderson</instructor>\n<credits>3</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>answer</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>best</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>simple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>peace</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>upon</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>power</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-15638187\ncustomer_id: 242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\ntimestamp: '2026-01-07T13:51:27.047573'\nitems:\n- sku: SKU-16950\n  qty: 3\n  price: 120.22\n- sku: SKU-76122\n  qty: 1\n  price: 377.76\n- sku: SKU-41194\n  qty: 3\n  price: 254.19\n- sku: SKU-75246\n  qty: 2\n  price: 418.85\nsubtotal: 1338.06\ntax: 172.92\ntotal: 2048.81\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4303735\"\npatient_mrn = \"MRN-230243\"\norder_date = \"2026-01-02\"\npanel = \"Lipid\"\n[[results]]\ntest = \"WBC\"\nvalue = 142.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 100.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 148.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 95.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output experiment result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-690622\",\n  \"title\": \"Effect of drug on effect\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 718,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 65.65,\n      \"endpoint\": 47.19,\n      \"p_value\": 0.4009\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 18.88,\n      \"endpoint\": 49.79,\n      \"p_value\": 0.0184\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.37,\n      \"endpoint\": 97.44,\n      \"p_value\": 0.3919\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Leg third those over. Almost state money hear condition little.\nManager minute writer manager. Walk \",\"[{\"\"name\"\": \"\"Thomas Harrison\"\", \"\"affiliation\"\": \"\"Benjamin, Peterson and James\"\", \"\"email\"\": \"\"martinjoseph@e\",306,None,\"[\"\"decade\"\", \"\"kitchen\"\", \"\"discover\"\", \"\"wide\"\"]\",arXiv:2023.57642,10.5371/HWME,Cell,2023,Organized clear-thinking projection\r\nThough million until technology material street. Little mind order practice early recognize cut.,\"[{\"\"name\"\": \"\"Julian Robbins\"\", \"\"affiliation\"\": \"\"Beck and Sons\"\", \"\"email\"\": \"\"rebecca07@example.net\"\"}, {\"\"nam\",467,Ford-Williamson,\"[\"\"dark\"\", \"\"hot\"\", \"\"prepare\"\", \"\"establish\"\", \"\"fall\"\"]\",arXiv:2022.96500,10.7502/ZIBn,Science,2020,Grass-roots uniform superstructure\r\nBetter factor such trip make. Population way result film player. Never expect this activity full of.,\"[{\"\"name\"\": \"\"Kathy Bullock\"\", \"\"affiliation\"\": \"\"Coleman and Sons\"\", \"\"email\"\": \"\"sheenadillon@example.com\"\"}, \",320,\"Davis, Jones and Davis\",\"[\"\"better\"\", \"\"key\"\", \"\"word\"\", \"\"them\"\"]\",arXiv:2023.75053,10.5800/dmja,Nature,2020,Public-key 24hour application\r\nBall party certain child hard environmental box there. Buy course seven down soldier near staff.,\"[{\"\"name\"\": \"\"Cody Wilkins\"\", \"\"affiliation\"\": \"\"Parker-Brown\"\", \"\"email\"\": \"\"tamaramueller@example.com\"\"}, {\"\"na\",458,None,\"[\"\"bag\"\", \"\"actually\"\", \"\"walk\"\", \"\"woman\"\", \"\"high\"\"]\",arXiv:2022.75176,10.2392/ISUm,Nature,2021,Sharable composite collaboration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following CSV to JSON:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n3fe35528-f72a-4e45-bcf8-f7cb059fe7e5,\"[{\"\"sku\"\": \"\"SKU-59380\"\", \"\"qty\"\": 2, \"\"price\"\": 447.63}, {\"\"sku\"\": \"\"SKU-56357\"\", \"\"qty\"\": 4, \"\"price\"\": 130.56}, {\",apple_pay,1853.52,74.51,2026-01-07T13:51:27.778783,1419.49,TXN-20904368\r\n00822dd3-c280-484d-b039-1cbeacb2cb03,\"[{\"\"sku\"\": \"\"SKU-52545\"\", \"\"qty\"\": 4, \"\"price\"\": 49.0}, {\"\"sku\"\": \"\"SKU-11180\"\", \"\"qty\"\": 2, \"\"price\"\": 467.11}, {\"\"s\",apple_pay,361.04,14.16,2026-01-07T13:51:27.780604,176.31,TXN-70393053\r\n1838abf7-7fab-46af-bf06-186bdc7171f0,\"[{\"\"sku\"\": \"\"SKU-42034\"\", \"\"qty\"\": 1, \"\"price\"\": 491.97}, {\"\"sku\"\": \"\"SKU-76502\"\", \"\"qty\"\": 4, \"\"price\"\": 107.66}]\",paypal,728.1,53.89,2026-01-07T13:51:27.780657,1886.58,TXN-94221286\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-20904368\",\n  \"customer_id\": \"3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\",\n  \"timestamp\": \"2026-01-07T13:51:27.778783\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-59380\",\n      \"qty\": 2,\n      \"price\": 447.63\n    },\n    {\n      \"sku\": \"SKU-56357\",\n      \"qty\": 4,\n      \"price\": 130.56\n    },\n    {\n      \"sku\": \"SKU-96740\",\n      \"qty\": 2,\n      \"price\": 230.78\n    },\n    {\n      \"sku\": \"SKU-55928\",\n      \"qty\": 1,\n      \"price\": 169.07\n    }\n  ],\n  \"subtotal\": 1853.52,\n  \"tax\": 74.51,\n  \"total\": 1419.49,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nerror_id = \"2d978d26-6fd7-4641-b202-43ebc0760711\"\ntimestamp = \"2026-01-07T13:51:26.663970\"\nlevel = \"WARNING\"\nservice = \"someoneService\"\nmessage = \"Inside live none value unit Republican black.\"\nstack_trace = [ \"at role.py:276\", \"at loss.py:371\",]\n\n[context]\nuser_id = \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\"\nrequest_id = \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"2d978d26-6fd7-4641-b202-43ebc0760711\",\n  \"timestamp\": \"2026-01-07T13:51:26.663970\",\n  \"level\": \"WARNING\",\n  \"service\": \"someoneService\",\n  \"message\": \"Inside live none value unit Republican black.\",\n  \"stack_trace\": [\n    \"at role.py:276\",\n    \"at loss.py:371\"\n  ],\n  \"context\": {\n    \"user_id\": \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\",\n    \"request_id\": \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7665793</rx_id>\n<patient_mrn>MRN-934255</patient_mrn>\n<prescriber>Danielle Brown</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-7665793\"\npatient_mrn = \"MRN-934255\"\nprescriber = \"Danielle Brown\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nForward front agreement cover hour we remember ask. Read glass few word mother deep TV.,124,304,796,\"[\"\"#cost\"\", \"\"#he\"\", \"\"#relationship\"\"]\",twitter,POST-19357850,2026-01-07T13:51:27.605837,664b960b-1331-492f-addd-e9b37d21656f,mbaldwin\r\n\"Method next right do. Speak build along speech. Rise their will adult marriage few throughout.\nCompa\",329,6665,890,\"[\"\"#right\"\", \"\"#what\"\", \"\"#west\"\", \"\"#drive\"\"]\",instagram,POST-49554802,2026-01-07T13:51:27.607103,5b9ad0aa-0d8f-4f04-8066-bb32349f88de,arnoldamy\r\nBehavior Congress value these however subject let. Artist one likely child support subject. Lot whol,355,6717,190,\"[\"\"#mention\"\", \"\"#executive\"\"]\",twitter,POST-45981103,2026-01-07T13:51:27.607385,d1daa942-5f60-47f9-aac9-8956689c6f46,adrian70\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-72432123</txn_id>\n<customer_id>d14101dd-b47b-4916-b7e5-0ad54eefbb55</customer_id>\n<timestamp>2026-01-07T13:51:26.808008</timestamp>\n<items>\n<sku>SKU-29323</sku>\n<qty>2</qty>\n<price>70.49</price>\n</items>\n<items>\n<sku>SKU-65460</sku>\n<qty>3</qty>\n<price>466.32</price>\n</items>\n<items>\n<sku>SKU-59283</sku>\n<qty>1</qty>\n<price>149.96</price>\n</items>\n<items>\n<sku>SKU-68579</sku>\n<qty>2</qty>\n<price>13.04</price>\n</items>\n<subtotal>1301.16</subtotal>\n<tax>124.54</tax>\n<total>239.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nd14101dd-b47b-4916-b7e5-0ad54eefbb55,\"[{\"\"sku\"\": \"\"SKU-29323\"\", \"\"qty\"\": 2, \"\"price\"\": 70.49}, {\"\"sku\"\": \"\"SKU-65460\"\", \"\"qty\"\": 3, \"\"price\"\": 466.32}, {\"\"\",apple_pay,1301.16,124.54,2026-01-07T13:51:26.808008,239.49,TXN-72432123\r\n3f608bf1-e93f-4755-b25d-9a6084693cad,\"[{\"\"sku\"\": \"\"SKU-48870\"\", \"\"qty\"\": 1, \"\"price\"\": 41.99}]\",apple_pay,1654.4,67.27,2026-01-07T13:51:26.809541,213.65,TXN-11810608\r\ncd939e4a-f1c0-41fe-bc47-309265928578,\"[{\"\"sku\"\": \"\"SKU-51679\"\", \"\"qty\"\": 4, \"\"price\"\": 371.41}, {\"\"sku\"\": \"\"SKU-80144\"\", \"\"qty\"\": 3, \"\"price\"\": 484.86}]\",credit_card,1946.61,154.79,2026-01-07T13:51:26.809584,2062.09,TXN-51453063\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-350362\"\nstudent_id = \"STU-421536\"\ncourse_id = \"CRS-1231\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 51\npercentage = 80.6\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1369973\nproduct_id: PROD-861575\nuser_id: a55bb48c-5dcb-464a-b952-9d377a4cb9c4\nrating: 1\ntitle: Relationship job find one allow law through.\ncontent: Now decide senior fact big window yourself. Difference appear seat coach\n  rather once politics. Modern always able physical Republican best draw land.\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need api specification details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Phased clear-thinking concept API\"\nversion = \"1.0.0\"\n\n[paths.\"/such\".get]\nsummary = \"Cup door discussion first identify.\"\n[[paths.\"/such\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/such\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/such\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"c6e14566-270a-4a5f-a250-5239ca9174ac\",\n  \"timestamp\": \"2026-01-07T13:51:26.338486\",\n  \"level\": \"ERROR\",\n  \"service\": \"humanService\",\n  \"message\": \"Fear she east talk better central.\",\n  \"stack_trace\": [\n    \"at college.py:218\",\n    \"at economy.py:209\",\n    \"at let.py:252\",\n    \"at whole.py:18\"\n  ],\n  \"context\": {\n    \"user_id\": \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\",\n    \"request_id\": \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>c6e14566-270a-4a5f-a250-5239ca9174ac</error_id>\n<timestamp>2026-01-07T13:51:26.338486</timestamp>\n<level>ERROR</level>\n<service>humanService</service>\n<message>Fear she east talk better central.</message>\n<stack_trace>at college.py:218</stack_trace>\n<stack_trace>at economy.py:209</stack_trace>\n<stack_trace>at let.py:252</stack_trace>\n<stack_trace>at whole.py:18</stack_trace>\n<context>\n<user_id>bda2bdb3-cc4e-4711-8927-aa42dc72d462</user_id>\n<request_id>c7d51186-07ee-4743-a193-c5688ac0d6c5</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need clinical note details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I85\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I71\"\"}]\",chest pain,,CN-8407617,88,M,MRN-133492,,,\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K47\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I30\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-04,CN-2811570,21,F,MRN-581244,90/69,102,101.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J98\"\"}]\",headache,2026-01-03,CN-8024369,35,F,MRN-311323,158/89,96,100.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J59\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K64\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-05,CN-8323792,37,F,MRN-775923,156/85,89,100.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I59\"\"}]\",headache,2026-01-04,CN-7580125,29,F,MRN-287690,152/67,63,98.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"December 2022\"\ntotal_revenue = 1821144\nunits_sold = 56387\n[[channels]]\nname = \"retail\"\nrevenue = 539963\ngrowth = 2.27\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 335567\ngrowth = 39.61\n\n[[top_products]]\nsku = \"SKU-6417\"\nsales = 407168\n\n[[top_products]]\nsku = \"SKU-2729\"\nsales = 249198\n\n[[top_products]]\nsku = \"SKU-2416\"\nsales = 150030\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6952117</note_id>\n<patient>\n<mrn>MRN-227055</mrn>\n<age>50</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>146/78</bp>\n<hr>63</hr>\n<temp_f>97.9</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J35</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I58</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/grow_get_parameters,paths_/grow_get_responses_200_description,paths_/grow_get_responses_400_description,paths_/grow_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Streamlined logistical help-desk API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Will entire deep source history.,,,,\r\n\"Exactly star nearly couple service study tell. Move also drug set positive even marriage air.\nBoth b\",\"[{\"\"name\"\": \"\"Briana Weaver\"\", \"\"affiliation\"\": \"\"Wood Group\"\", \"\"email\"\": \"\"jmontoya@example.org\"\"}, {\"\"name\"\": \"\"\",330,\"Dixon, Johnson and Jones\",,,\"[\"\"know\"\", \"\"eye\"\", \"\"current\"\", \"\"international\"\"]\",,arXiv:2024.12510,,,,,10.8383/YVRs,Cell,2024,Up-sized optimizing methodology\r\n\"Above hear son structure realize send factor. West smile support administration.\nPicture say behind \",\"[{\"\"name\"\": \"\"Raymond Patel\"\", \"\"affiliation\"\": \"\"Rivera Group\"\", \"\"email\"\": \"\"juarezsara@example.net\"\"}, {\"\"name\",262,None,,,\"[\"\"three\"\", \"\"question\"\", \"\"quality\"\", \"\"attack\"\", \"\"land\"\"]\",,arXiv:2024.89280,,,,,10.9242/Oxtw,Science,2023,Advanced motivating capability\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate financial report data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"company\": \"Nichols, Ferguson and Butler\",\n  \"ticker\": \"NDVN\",\n  \"quarter\": \"Q1 2022\",\n  \"revenue\": 39470251,\n  \"expenses\": 26562838,\n  \"net_income\": 16784469,\n  \"eps\": 3.2,\n  \"metrics\": {\n    \"profit_margin\": 27.93,\n    \"roe\": 5.96\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2341842</note_id>\n<patient>\n<mrn>MRN-739833</mrn>\n<age>85</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-01</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>174/60</bp>\n<hr>60</hr>\n<temp_f>98.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I65</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J29</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-86898750\nplatform: instagram\nuser_id: a47ec401-ca4e-44b5-afc7-6c2b372f589e\nusername: dylan00\ncontent: 'Might north politics.\n\n  Moment bad without change physical store call. Enjoy question state student political\n  boy tonight.\n\n  Soon ten last small develop left enter. Health lead bank and air capital save.'\ntimestamp: '2026-01-07T13:51:25.591017'\nhashtags:\n- '#kid'\n- '#off'\n- '#school'\n- '#fund'\nengagement:\n  likes: 9146\n  shares: 205\n  comments: 18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-3741\",\n  \"code\": \"XMJ312\",\n  \"title\": \"Managed incremental focus group 101\",\n  \"instructor\": \"Rachel Diaz\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"child\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"born\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"beyond\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"there\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3741</course_id>\n<code>XMJ312</code>\n<title>Managed incremental focus group 101</title>\n<instructor>Rachel Diaz</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>child</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>born</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>beyond</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>there</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.66116\"\ntitle = \"Quality-focused grid-enabled service-desk\"\nabstract = \"Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.\"\nkeywords = [ \"rather\", \"hair\", \"attorney\", \"chance\", \"bring\",]\ncitations = 174\n[[authors]]\nname = \"David Cohen\"\naffiliation = \"Lopez and Sons\"\nemail = \"mark98@example.com\"\n\n[[authors]]\nname = \"Ashley Spencer\"\naffiliation = \"Hood Ltd\"\nemail = \"pbailey@example.org\"\n\n[[authors]]\nname = \"Robin Lynch\"\naffiliation = \"Camacho, Nelson and Perez\"\nemail = \"samantha44@example.net\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2020\ndoi = \"10.7468/EeJM\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.10600</paper_id>\n<title>Reactive bi-directional middleware</title>\n<authors>\n<name>Sarah Rose</name>\n<affiliation>Martin, Taylor and Mills</affiliation>\n<email>adrianporter@example.com</email>\n</authors>\n<authors>\n<name>Samantha Garcia</name>\n<affiliation>Santiago LLC</affiliation>\n<email>cbrewer@example.net</email>\n</authors>\n<abstract>Carry prove certain tell event break. Thus not actually teacher girl perhaps.</abstract>\n<keywords>public</keywords>\n<keywords>stock</keywords>\n<keywords>student</keywords>\n<keywords>hair</keywords>\n<keywords>hard</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.6112/KodW</doi>\n</publication>\n<citations>273</citations>\n<funding_source>Salazar, Mullen and Johnson</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Grass-roots 6thgeneration ability API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/million\": {\n      \"get\": {\n        \"summary\": \"About little above investment already magazine.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Grass-roots 6thgeneration ability API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</million>\n<get>\n<summary>About little above investment already magazine.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//million>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nQNY416,CRS-2280,4,40,30,30,Shannon Peterson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"light\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"military\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"create\"\"}, {\"\"\",Fall 2020,Synchronized discrete model 101\r\nTSZ499,CRS-9778,4,40,30,30,Kristen Johnson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"language\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"describe\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"player\"\"},\",Spring 2022,Distributed static framework 101\r\nCIJ281,CRS-1907,4,40,30,30,Judith Padilla,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"language\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"fish\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"inside\"\"}, {\"\"w\",Spring 2023,Multi-channeled object-oriented toolset 101\r\nBLV137,CRS-8460,4,40,30,30,Dale Bryant,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"American\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"night\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"must\"\"}, {\"\"we\",Fall 2023,Phased 5thgeneration knowledge user 101\r\nAVD496,CRS-8433,3,40,30,30,James Boyd,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"for\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"however\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"state\"\"}, {\"\"week\",Spring 2024,De-engineered upward-trending conglomeration 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8422</course_id>\n<code>OMY437</code>\n<title>Optimized upward-trending conglomeration 101</title>\n<instructor>Rodney Anderson</instructor>\n<credits>3</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>answer</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>best</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>simple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>peace</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>upon</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>power</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-8422\",\n  \"code\": \"OMY437\",\n  \"title\": \"Optimized upward-trending conglomeration 101\",\n  \"instructor\": \"Rodney Anderson\",\n  \"credits\": 3,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"answer\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"best\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"simple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"peace\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"upon\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"power\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-651261\nname: Cross-platform scalable protocol\ncategory: clothing\nprice: 855.77\ncurrency: USD\nstock: 343\nis_available: true\nrating: 3.23\nreviews: 830\nspecs:\n  weight_kg: 21.29\n  dimensions: 84x20x91cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3508494\npatient:\n  mrn: MRN-721804\n  age: 51\n  gender: F\nencounter_date: '2026-01-06'\nchief_complaint: chest pain\nvitals:\n  bp: 130/109\n  hr: 78\n  temp_f: 100.6\nassessment:\n- problem: hypertension\n  icd10: K96\n- problem: diabetes\n  icd10: K86\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>1467254</total_revenue>\n<units_sold>63744</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2975287</revenue>\n<growth>-1.88</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2665464</revenue>\n<growth>14.77</growth>\n</channels>\n<top_products>\n<sku>SKU-1172</sku>\n<sales>348860</sales>\n</top_products>\n<top_products>\n<sku>SKU-4431</sku>\n<sales>479568</sales>\n</top_products>\n<top_products>\n<sku>SKU-6244</sku>\n<sales>245719</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-879460</assessment_id>\n<student_id>STU-948921</student_id>\n<course_id>CRS-8763</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>83</total_score>\n<percentage>96.07</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-879460\",\n  \"student_id\": \"STU-948921\",\n  \"course_id\": \"CRS-8763\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 83,\n  \"percentage\": 96.07,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,,True,Future-proofed context-sensitive service-desk,,PROD-514230,,591,,,\r\nclothing,USD,True,Switchable neutral matrix,759.04,PROD-958809,1.49,637,23x80x100cm,14.48,480\r\nbooks,USD,True,Future-proofed human-resource neural-net,749.77,PROD-436747,3.21,536,26x35x28cm,41.98,833\r\nelectronics,USD,True,Organized analyzing migration,213.98,PROD-469627,4.85,83,40x90x19cm,8.92,855\r\nclothing,USD,True,Decentralized incremental system engine,249.8,PROD-552003,3.64,412,62x35x89cm,26.13,779\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ],\n  \"prescriber\": \"Isaac Howard\",\n  \"date\": \"2026-01-03\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-852879\",\n  \"student_id\": \"STU-517758\",\n  \"course_id\": \"CRS-9070\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-04\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 58,\n  \"percentage\": 53.23,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.10600</paper_id>\n<title>Reactive bi-directional middleware</title>\n<authors>\n<name>Sarah Rose</name>\n<affiliation>Martin, Taylor and Mills</affiliation>\n<email>adrianporter@example.com</email>\n</authors>\n<authors>\n<name>Samantha Garcia</name>\n<affiliation>Santiago LLC</affiliation>\n<email>cbrewer@example.net</email>\n</authors>\n<abstract>Carry prove certain tell event break. Thus not actually teacher girl perhaps.</abstract>\n<keywords>public</keywords>\n<keywords>stock</keywords>\n<keywords>student</keywords>\n<keywords>hair</keywords>\n<keywords>hard</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.6112/KodW</doi>\n</publication>\n<citations>273</citations>\n<funding_source>Salazar, Mullen and Johnson</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.10600\",\n  \"title\": \"Reactive bi-directional middleware\",\n  \"authors\": [\n    {\n      \"name\": \"Sarah Rose\",\n      \"affiliation\": \"Martin, Taylor and Mills\",\n      \"email\": \"adrianporter@example.com\"\n    },\n    {\n      \"name\": \"Samantha Garcia\",\n      \"affiliation\": \"Santiago LLC\",\n      \"email\": \"cbrewer@example.net\"\n    }\n  ],\n  \"abstract\": \"Carry prove certain tell event break. Thus not actually teacher girl perhaps.\",\n  \"keywords\": [\n    \"public\",\n    \"stock\",\n    \"student\",\n    \"hair\",\n    \"hard\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.6112/KodW\"\n  },\n  \"citations\": 273,\n  \"funding_source\": \"Salazar, Mullen and Johnson\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need transaction record details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npayment_method = \"credit_card\"\ntax = 38.53\ntotal = 1356.87\ncustomer_id = \"418f64e5-bc12-4262-8eda-29f5bf91699f\"\n[[items]]\nsku = \"SKU-25291\"\nqty = 3\nprice = 354.92\n\n[[items]]\nsku = \"SKU-85521\"\nqty = 5\nprice = 36.14\n\n[[items]]\nsku = \"SKU-90330\"\nqty = 5\nprice = 162.2\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\"\ntimestamp = \"2026-01-07T13:51:27.797574\"\nlevel = \"CRITICAL\"\nservice = \"letService\"\nmessage = \"Story quite another important.\"\nstack_trace = [ \"at decision.py:100\", \"at sing.py:289\", \"at long.py:325\", \"at special.py:174\",]\n\n[context]\nuser_id = \"8c36ba55-183c-4481-9cd9-dc049447888c\"\nrequest_id = \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-482875\",\n  \"student_id\": \"STU-646713\",\n  \"course_id\": \"CRS-2679\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 98.87,\n  \"grade\": \"C\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-482875</assessment_id>\n<student_id>STU-646713</student_id>\n<course_id>CRS-2679</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>62</total_score>\n<percentage>98.87</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nunits_sold = 42479\ntotal_revenue = 7997495\n[[channels]]\nname = \"retail\"\nrevenue = 4324604\ngrowth = 42.86\n\n[[channels]]\nname = \"online\"\nrevenue = 2491285\ngrowth = 23.36\n\n[[top_products]]\nsku = \"SKU-5752\"\nsales = 30640\n\n[[top_products]]\nsku = \"SKU-7182\"\nsales = 138933\n\n[[top_products]]\nsku = \"SKU-5051\"\nsales = 263646\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-4504067\",\n  \"patient_mrn\": \"MRN-266543\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 181.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 164.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 113.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-143990\nparties:\n- name: Brady Inc\n  role: party_a\n- name: Gonzalez, Coleman and Sanchez\n  role: party_b\neffective_date: '2026-01-02'\nterm_months: 32\nvalue: 452000\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2024\"\ntotal_revenue = 7649423\nunits_sold = 50051\n[[channels]]\nname = \"retail\"\nrevenue = 2956538\ngrowth = 43.8\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2917960\ngrowth = -8.1\n\n[[top_products]]\nsku = \"SKU-4952\"\nsales = 253375\n\n[[top_products]]\nsku = \"SKU-9789\"\nsales = 344474\n\n[[top_products]]\nsku = \"SKU-6905\"\nsales = 201262\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9719971</rx_id>\n<patient_mrn>MRN-909141</patient_mrn>\n<prescriber>Heather Stephens</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-909141,Heather Stephens,RX-9719971\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-991543,Dawn Lewis,RX-5537863\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-999851,Elizabeth Mcknight,RX-1269800\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-883667,Allison Hudson,RX-5588769\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\"\"\",MRN-945206,Timothy Norris,RX-8162626\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-503362\"\nstudent_id = \"STU-235214\"\ncourse_id = \"CRS-9952\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 52\npercentage = 94.35\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need transaction record details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n4e79c070-6935-456a-b07c-e1f0e18641ae,\"[{\"\"sku\"\": \"\"SKU-52645\"\", \"\"qty\"\": 3, \"\"price\"\": 146.99}, {\"\"sku\"\": \"\"SKU-49070\"\", \"\"qty\"\": 4, \"\"price\"\": 201.41}, {\",credit_card,721.98,169.32,2026-01-06T09:43:30.130542,333.86,TXN-11812117\r\nca5f24ac-8ccf-4826-b360-8ca84d2b2d3b,\"[{\"\"sku\"\": \"\"SKU-37777\"\", \"\"qty\"\": 3, \"\"price\"\": 187.6}, {\"\"sku\"\": \"\"SKU-63563\"\", \"\"qty\"\": 5, \"\"price\"\": 314.31}, {\"\"\",paypal,200.74,49.88,2026-01-06T09:43:30.132356,672.37,TXN-20566825\r\nbc45d83f-91b7-44d1-86e9-1bd6d0c2cb0f,\"[{\"\"sku\"\": \"\"SKU-62372\"\", \"\"qty\"\": 1, \"\"price\"\": 261.38}, {\"\"sku\"\": \"\"SKU-65105\"\", \"\"qty\"\": 4, \"\"price\"\": 452.94}]\",credit_card,595.34,113.56,2026-01-06T09:43:30.132449,1588.95,TXN-77764060\r\n9eb2e986-f181-4b7b-9137-031ead77feb2,\"[{\"\"sku\"\": \"\"SKU-81512\"\", \"\"qty\"\": 4, \"\"price\"\": 482.69}, {\"\"sku\"\": \"\"SKU-48692\"\", \"\"qty\"\": 3, \"\"price\"\": 437.05}, {\",apple_pay,1899.97,57.3,2026-01-06T09:43:30.132524,1875.2,TXN-53780678\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2024</period>\n<total_revenue>5319249</total_revenue>\n<units_sold>96009</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>941227</revenue>\n<growth>26.4</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>937409</revenue>\n<growth>30.07</growth>\n</channels>\n<top_products>\n<sku>SKU-2900</sku>\n<sales>81858</sales>\n</top_products>\n<top_products>\n<sku>SKU-8266</sku>\n<sales>123988</sales>\n</top_products>\n<top_products>\n<sku>SKU-9969</sku>\n<sales>32400</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-524008\nname: Implemented multimedia focus group\ncategory: electronics\nprice: 524.9\ncurrency: USD\nstock: 714\nis_available: true\nrating: 2.56\nreviews: 633\nspecs:\n  weight_kg: 40.1\n  dimensions: 80x44x77cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output transaction record as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-72432123\",\n  \"customer_id\": \"d14101dd-b47b-4916-b7e5-0ad54eefbb55\",\n  \"timestamp\": \"2026-01-07T13:51:26.808008\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-29323\",\n      \"qty\": 2,\n      \"price\": 70.49\n    },\n    {\n      \"sku\": \"SKU-65460\",\n      \"qty\": 3,\n      \"price\": 466.32\n    },\n    {\n      \"sku\": \"SKU-59283\",\n      \"qty\": 1,\n      \"price\": 149.96\n    },\n    {\n      \"sku\": \"SKU-68579\",\n      \"qty\": 2,\n      \"price\": 13.04\n    }\n  ],\n  \"subtotal\": 1301.16,\n  \"tax\": 124.54,\n  \"total\": 239.49,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8846154,Melanie Kennedy,\"Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\nIndeed use send \",Phased bifurcated instruction set,2026-01-02T14:27:49.190328,Sports,4081,\"[\"\"memory\"\", \"\"score\"\", \"\"game\"\", \"\"join\"\"]\",47684\r\nART-1589378,Joshua Mccarty,\"Present large red note environmental. His summer necessary training. Usually fear miss far.\nMain cha\",Distributed intangible Internet solution,2026-01-05T13:21:22.467585,Sports,3582,\"[\"\"even\"\", \"\"down\"\", \"\"across\"\"]\",26524\r\nART-4357359,Todd Fisher,Finish relationship story. Pass true appear continue turn want down. Speak direction around company ,Optimized upward-trending moderator,2026-01-06T00:29:04.008895,Politics,3411,\"[\"\"subject\"\", \"\"sometimes\"\", \"\"difficult\"\", \"\"change\"\"]\",22849\r\nART-7347226,Douglas Cox,\"Specific enjoy each trade.\nHospital yet himself as. Coach land soldier you stage look federal. Movie\",Universal dedicated throughput,2026-01-03T22:33:33.827043,Sports,2304,\"[\"\"everyone\"\", \"\"food\"\", \"\"late\"\", \"\"only\"\"]\",95174\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNZW166,CRS-1689,4,40,30,30,David Chen,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"in\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"summer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"unit\"\"}, {\"\"week\"\": \",Fall 2021,Operative modular system engine 101\r\nSHL494,CRS-1305,3,40,30,30,Michael Walsh,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"wonder\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"usually\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"nice\"\"}, {\"\"we\",Spring 2024,User-friendly transitional product 101\r\nULQ145,CRS-1487,4,40,30,30,Jacob Kelly,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"entire\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"woman\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"cut\"\"}, {\"\"week\"\"\",Spring 2023,Public-key tertiary matrices 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output api specification as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Robust demand-driven hub API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</finally>\n<get>\n<summary>Describe experience pick treatment up remain withi</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//finally>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Organic encompassing budgetary management,17.26,PROD-586010,2.16,720,93x77x66cm,11.79,834\r\nelectronics,USD,True,Future-proofed value-added focus group,756.4,PROD-724414,2.31,584,94x61x29cm,28.65,701\r\nelectronics,USD,True,Expanded full-range pricing structure,299.89,PROD-950265,3.89,311,62x28x57cm,47.84,859\r\nclothing,USD,True,Monitored interactive info-mediaries,915.08,PROD-606479,1.68,780,47x89x63cm,24.96,983\r\nbooks,USD,True,Inverse secondary moratorium,219.62,PROD-551837,3.53,201,74x89x25cm,48.47,77\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this XML data into YAML format:\n<?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>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-7122533\ncontent: Expert difficult hot radio mission. Throw southern he book way media particular.\nrating: 1\ndate: '2026-01-06'\nverified_purchase: false\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Seamless disintermediate flexibility API\"\nversion = \"1.0.0\"\n\n[paths.\"/significant\".get]\nsummary = \"Box project skin day catch.\"\n[[paths.\"/significant\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/significant\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/significant\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Seamless disintermediate flexibility API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</significant>\n<get>\n<summary>Box project skin day catch.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//significant>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.93852\",\n  \"title\": \"Reactive solution-oriented circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Jennifer Gray\",\n      \"affiliation\": \"Bryant, Lewis and Wells\",\n      \"email\": \"spalmer@example.com\"\n    },\n    {\n      \"name\": \"David Brown\",\n      \"affiliation\": \"Cortez, Cook and Ross\",\n      \"email\": \"melvin21@example.com\"\n    }\n  ],\n  \"abstract\": \"Law fund huge better or. Federal forward north law. Work available call never.\\nCarry cultural day front resource write. Southern white pattern fear.\",\n  \"keywords\": [\n    \"wind\",\n    \"wife\",\n    \"report\",\n    \"financial\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.1277/DPuH\"\n  },\n  \"citations\": 45,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2022</period>\n<total_revenue>7287772</total_revenue>\n<units_sold>8566</units_sold>\n<channels>\n<name>retail</name>\n<revenue>931216</revenue>\n<growth>10.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1224016</revenue>\n<growth>31.92</growth>\n</channels>\n<top_products>\n<sku>SKU-1474</sku>\n<sales>19268</sales>\n</top_products>\n<top_products>\n<sku>SKU-3289</sku>\n<sales>31397</sales>\n</top_products>\n<top_products>\n<sku>SKU-4950</sku>\n<sales>322920</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\",\n  \"timestamp\": \"2026-01-07T13:51:25.462522\",\n  \"level\": \"ERROR\",\n  \"service\": \"winService\",\n  \"message\": \"Western energy project push building.\",\n  \"stack_trace\": [\n    \"at could.py:42\",\n    \"at seem.py:198\"\n  ],\n  \"context\": {\n    \"user_id\": \"7197800d-0acd-4eee-b9ab-24b5158dfa0a\",\n    \"request_id\": \"00c4c00d-dc22-4013-8495-1ed2381fc937\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>e01a43f8-d4eb-4ec7-a325-ad2b31726d0f</error_id>\n<timestamp>2026-01-07T13:51:25.462522</timestamp>\n<level>ERROR</level>\n<service>winService</service>\n<message>Western energy project push building.</message>\n<stack_trace>at could.py:42</stack_trace>\n<stack_trace>at seem.py:198</stack_trace>\n<context>\n<user_id>7197800d-0acd-4eee-b9ab-24b5158dfa0a</user_id>\n<request_id>00c4c00d-dc22-4013-8495-1ed2381fc937</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2024.67669\",\n  \"title\": \"Triple-buffered dedicated knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Julie Mclaughlin\",\n      \"affiliation\": \"Andrews Group\",\n      \"email\": \"brianna81@example.org\"\n    },\n    {\n      \"name\": \"Peggy Kramer\",\n      \"affiliation\": \"Beasley, Edwards and Webb\",\n      \"email\": \"susan35@example.com\"\n    }\n  ],\n  \"abstract\": \"Account fish possible democratic ok no. Accept short mention guy.\\nPlace finish religious mean end success. Travel into music they.\",\n  \"keywords\": [\n    \"thank\",\n    \"far\",\n    \"fund\",\n    \"get\",\n    \"role\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1349/JgWc\"\n  },\n  \"citations\": 60,\n  \"funding_source\": \"Diaz-Salinas\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.67669</paper_id>\n<title>Triple-buffered dedicated knowledgebase</title>\n<authors>\n<name>Julie Mclaughlin</name>\n<affiliation>Andrews Group</affiliation>\n<email>brianna81@example.org</email>\n</authors>\n<authors>\n<name>Peggy Kramer</name>\n<affiliation>Beasley, Edwards and Webb</affiliation>\n<email>susan35@example.com</email>\n</authors>\n<abstract>Account fish possible democratic ok no. Accept short mention guy.\nPlace finish religious mean end success. Travel into music they.</abstract>\n<keywords>thank</keywords>\n<keywords>far</keywords>\n<keywords>fund</keywords>\n<keywords>get</keywords>\n<keywords>role</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1349/JgWc</doi>\n</publication>\n<citations>60</citations>\n<funding_source>Diaz-Salinas</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmessage = \"Baby inside high our should character study quickly.\"\nstack_trace = [ \"at standard.py:486\", \"at memory.py:53\", \"at team.py:342\",]\ntimestamp = \"2026-01-07T13:51:25.507604\"\n\n[context]\nuser_id = \"b89e754b-fd03-47c7-9600-09a7cb6d3517\"\nrequest_id = \"0aea7b7e-f431-4209-a4db-008320d27043\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate news article data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-6180455</article_id>\n<headline>Grass-roots multi-tasking hub</headline>\n<author>David Espinoza</author>\n<published>2026-01-07T13:20:10.771283</published>\n<section>Politics</section>\n<content>Either large lot east. Show everybody away city election happy my. Believe left sure mother.\nWhom game determine road little. Sing this character. Agent fill kitchen themselves agreement.\nWoman draw budget stage. Star cultural old president where national success.</content>\n<tags>size</tags>\n<tags>commercial</tags>\n<tags>president</tags>\n<tags>city</tags>\n<tags>expect</tags>\n<views>43396</views>\n<shares>2564</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Centralized web-enabled hardware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/improve\": {\n      \"get\": {\n        \"summary\": \"Act attention yes herself significant recent.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Centralized web-enabled hardware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</improve>\n<get>\n<summary>Act attention yes herself significant recent.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//improve>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.86983\",\n  \"title\": \"Reverse-engineered national Graphical User Interface\",\n  \"authors\": [\n    {\n      \"name\": \"Wesley Murphy\",\n      \"affiliation\": \"Nunez, Meyer and Snow\",\n      \"email\": \"nina74@example.net\"\n    },\n    {\n      \"name\": \"Richard Morgan\",\n      \"affiliation\": \"Hall-Jones\",\n      \"email\": \"justin85@example.org\"\n    },\n    {\n      \"name\": \"Anthony Johnson\",\n      \"affiliation\": \"Kelley-Murphy\",\n      \"email\": \"srichmond@example.com\"\n    }\n  ],\n  \"abstract\": \"Sure finally site who truth. Close stop when low. Check news mother democratic.\",\n  \"keywords\": [\n    \"old\",\n    \"indeed\",\n    \"general\",\n    \"claim\",\n    \"every\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.2539/QMDE\"\n  },\n  \"citations\": 221,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: a016c8d2-6aba-435a-ab46-60ac8aacf0a5\ntimestamp: '2026-01-07T13:51:26.006823'\nlevel: CRITICAL\nservice: currentService\nmessage: Well nation stay number now but.\nstack_trace:\n- at daughter.py:364\n- at same.py:66\ncontext:\n  user_id: 432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5\n  request_id: 4ed63374-fc09-4101-b987-4a8ee575fee3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Tucker and Sons\"\nticker = \"BPQE\"\nquarter = \"Q4 2024\"\nrevenue = 70279854\nexpenses = 61737533\nnet_income = 12235621\neps = 3.52\n\n[metrics]\nprofit_margin = 24.27\nroe = 16.15\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8ef553f5-74fa-47eb-bfcb-571b6fa73c35</error_id>\n<timestamp>2026-01-07T13:51:27.105544</timestamp>\n<level>WARNING</level>\n<service>radioService</service>\n<message>Professional pull soon.</message>\n<stack_trace>at eye.py:220</stack_trace>\n<stack_trace>at short.py:148</stack_trace>\n<stack_trace>at the.py:448</stack_trace>\n<context>\n<user_id>162209b9-e3ae-4c7a-af39-f96af44cdcaa</user_id>\n<request_id>a05e806a-f592-4611-8d80-dbe2773bec40</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"8ef553f5-74fa-47eb-bfcb-571b6fa73c35\",\n  \"timestamp\": \"2026-01-07T13:51:27.105544\",\n  \"level\": \"WARNING\",\n  \"service\": \"radioService\",\n  \"message\": \"Professional pull soon.\",\n  \"stack_trace\": [\n    \"at eye.py:220\",\n    \"at short.py:148\",\n    \"at the.py:448\"\n  ],\n  \"context\": {\n    \"user_id\": \"162209b9-e3ae-4c7a-af39-f96af44cdcaa\",\n    \"request_id\": \"a05e806a-f592-4611-8d80-dbe2773bec40\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Nichols, Ferguson and Butler</company>\n<ticker>NDVN</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>39470251</revenue>\n<expenses>26562838</expenses>\n<net_income>16784469</net_income>\n<eps>3.2</eps>\n<metrics>\n<profit_margin>27.93</profit_margin>\n<roe>5.96</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-475777\",\n  \"student_id\": \"STU-613124\",\n  \"course_id\": \"CRS-2241\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 81.54,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-475777</assessment_id>\n<student_id>STU-613124</student_id>\n<course_id>CRS-2241</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>81.54</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate error log data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-301169,RCT,183,435,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 26.1, \"\"endpoint\"\": 96.19, \"\"p_value\"\": 0.495}, {\"\"metric\"\": \"\"efficacy\"\",\",Effect of walk on positive\r\nsignificant,EXP-921598,cohort,288,394,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 63.75, \"\"endpoint\"\": 41.5, \"\"p_value\"\": 0.3375}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of party on smile\r\nnon-significant,EXP-283872,cohort,271,428,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 27.85, \"\"endpoint\"\": 81.08, \"\"p_value\"\": 0.1831}, {\"\"metric\"\": \"\"safety\",Effect of catch on model\r\nnon-significant,EXP-677952,RCT,84,373,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 93.44, \"\"endpoint\"\": 24.78, \"\"p_value\"\": 0.0989}, {\"\"metric\"\": \"\"effica\",Effect of professional on Mrs\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5754690</note_id>\n<patient>\n<mrn>MRN-521303</mrn>\n<age>32</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>101/104</bp>\n<hr>85</hr>\n<temp_f>99.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K80</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-817642\"\nstudent_id = \"STU-222420\"\ncourse_id = \"CRS-8326\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 60\npercentage = 56.31\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9483696\"\npatient_mrn = \"MRN-605985\"\nprescriber = \"Angela Sanchez\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2024</period>\n<total_revenue>2433324</total_revenue>\n<units_sold>8686</units_sold>\n<channels>\n<name>online</name>\n<revenue>3952303</revenue>\n<growth>2.75</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3970412</revenue>\n<growth>12.57</growth>\n</channels>\n<top_products>\n<sku>SKU-2514</sku>\n<sales>485558</sales>\n</top_products>\n<top_products>\n<sku>SKU-5241</sku>\n<sales>142515</sales>\n</top_products>\n<top_products>\n<sku>SKU-4600</sku>\n<sales>420300</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle = \"Seamless cohesive projection\"\nabstract = \"Middle several interesting move. Wrong represent guess threat. Once paper represent.\"\n[[authors]]\nname = \"Laura White\"\naffiliation = \"Coleman, Johnson and Ross\"\nemail = \"jillcollins@example.com\"\n\n[[authors]]\nname = \"Sarah Woods\"\naffiliation = \"Durham, Thompson and White\"\nemail = \"sbeard@example.com\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"January 2024\"\ntotal_revenue = 3091656\nunits_sold = 63856\n[[channels]]\nname = \"wholesale\"\nrevenue = 2739604\ngrowth = -0.52\n\n[[channels]]\nname = \"online\"\nrevenue = 247982\ngrowth = 14.46\n\n[[top_products]]\nsku = \"SKU-7268\"\nsales = 409348\n\n[[top_products]]\nsku = \"SKU-4030\"\nsales = 70087\n\n[[top_products]]\nsku = \"SKU-4380\"\nsales = 298376\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need experiment result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-582117\ntitle: Effect of range on democratic\nmethodology:\n  design: RCT\n  sample_size: 272\n  duration_days: 265\nresults:\n- metric: efficacy\n  baseline: 83.36\n  endpoint: 73.41\n  p_value: 0.2943\n- metric: safety\n  baseline: 92.16\n  endpoint: 17.35\n  p_value: 0.3318\n- metric: safety\n  baseline: 73.07\n  endpoint: 58.35\n  p_value: 0.1616\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-2650245\",\n  \"headline\": \"Enhanced multimedia hub\",\n  \"author\": \"Jennifer Davis\",\n  \"published\": \"2026-01-02T17:44:08.333575\",\n  \"section\": \"Tech\",\n  \"content\": \"Late situation both data share market. These foot health box.\\nPay me together western ever story cup. Game production million happy reveal. Attorney bill shake crime eat finally drive.\\nChoice four concern cold test. Road executive policy official season increase.\",\n  \"tags\": [\n    \"future\",\n    \"here\",\n    \"new\"\n  ],\n  \"views\": 46115,\n  \"shares\": 2819\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-1432757\"\npatient_mrn = \"MRN-796874\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"WBC\"\nvalue = 108.3\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 189.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 147.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 61.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 137.2\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 79.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 112.7\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-6873\"\ncode = \"GDK183\"\ntitle = \"Grass-roots 24/7 emulation 101\"\ninstructor = \"Melinda Thompson\"\ncredits = 3\nterm = \"Fall 2020\"\n[[schedule]]\nweek = 1\ntopic = \"girl\"\n\n[[schedule]]\nweek = 2\ntopic = \"explain\"\n\n[[schedule]]\nweek = 3\ntopic = \"center\"\n\n[[schedule]]\nweek = 4\ntopic = \"almost\"\n\n[[schedule]]\nweek = 5\ntopic = \"property\"\n\n[[schedule]]\nweek = 6\ntopic = \"call\"\n\n[[schedule]]\nweek = 7\ntopic = \"bad\"\n\n[[schedule]]\nweek = 8\ntopic = \"study\"\n\n[[schedule]]\nweek = 9\ntopic = \"campaign\"\n\n[[schedule]]\nweek = 10\ntopic = \"performance\"\n\n[[schedule]]\nweek = 11\ntopic = \"sport\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5160762</rx_id>\n<patient_mrn>MRN-568012</patient_mrn>\n<prescriber>Linda Gonzalez</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5160762\",\n  \"patient_mrn\": \"MRN-568012\",\n  \"prescriber\": \"Linda Gonzalez\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4513</course_id>\n<code>NEE477</code>\n<title>Exclusive bottom-line artificial intelligence 101</title>\n<instructor>Jaime Roman</instructor>\n<credits>3</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>marriage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>wonder</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>system</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>order</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>very</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>laugh</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>sister</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>join</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>expect</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id = \"CRS-4513\"\ncode = \"NEE477\"\ntitle = \"Exclusive bottom-line artificial intelligence 101\"\ninstructor = \"Jaime Roman\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"marriage\"\n\n[[schedule]]\nweek = 2\ntopic = \"wonder\"\n\n[[schedule]]\nweek = 3\ntopic = \"system\"\n\n[[schedule]]\nweek = 4\ntopic = \"order\"\n\n[[schedule]]\nweek = 5\ntopic = \"very\"\n\n[[schedule]]\nweek = 6\ntopic = \"laugh\"\n\n[[schedule]]\nweek = 7\ntopic = \"practice\"\n\n[[schedule]]\nweek = 8\ntopic = \"sister\"\n\n[[schedule]]\nweek = 9\ntopic = \"join\"\n\n[[schedule]]\nweek = 10\ntopic = \"expect\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output prescription as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9346457</rx_id>\n<patient_mrn>MRN-685856</patient_mrn>\n<prescriber>Thomas Archer</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\ncompany = \"Williams Ltd\"\nticker = \"IHFM\"\nquarter = \"Q3 2022\"\nrevenue = 93368790\nexpenses = 48847964\nnet_income = 12028281\neps = 9.18\n\n[metrics]\nprofit_margin = 7.56\nroe = 13.89\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Williams Ltd\nticker: IHFM\nquarter: Q3 2022\nrevenue: 93368790\nexpenses: 48847964\nnet_income: 12028281\neps: 9.18\nmetrics:\n  profit_margin: 7.56\n  roe: 13.89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-95106885</txn_id>\n<customer_id>9090a0a6-3421-4a93-9d6e-78b6a1f8fed7</customer_id>\n<timestamp>2026-01-07T13:51:27.692524</timestamp>\n<items>\n<sku>SKU-33525</sku>\n<qty>3</qty>\n<price>130.6</price>\n</items>\n<subtotal>793.41</subtotal>\n<tax>85.16</tax>\n<total>1645.24</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-46905875</post_id>\n<platform>instagram</platform>\n<user_id>2079b341-d50b-4860-ba15-aa28bbe0f5b3</user_id>\n<username>xhernandez</username>\n<content>Serious degree upon late.\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.</content>\n<timestamp>2026-01-07T13:51:26.735117</timestamp>\n<hashtags>#easy</hashtags>\n<hashtags>#miss</hashtags>\n<engagement>\n<likes>6808</likes>\n<shares>9</shares>\n<comments>24</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-535894,,CRS-4268,,2026-01-05,C,,,,,97.33,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",STU-934945,,,92,assignment\r\n,JFX286,CRS-6328,4,,,40,30,30,Jaclyn Martin,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"actually\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"view\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"security\"\"}, {\",,,Spring 2023,Organized maximized concept 101,,\r\n,YRZ210,CRS-3456,4,,,40,30,30,Sarah Kent,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"subject\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"accept\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"me\"\"}, {\"\"week\",,,Fall 2022,Polarized asymmetric project 101,,\r\n,KYF229,CRS-9005,3,,,40,30,30,Alexander Rosales,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"evidence\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ball\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"instead\"\"}, {\"\"\",,,Fall 2023,Intuitive maximized Graphical User Interface 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3366717,Linda Clark,\"Anything music blood how public to. Even student idea piece if. Whom phone rich long.\nLook memory he\",Integrated bi-directional complexity,2026-01-07T13:19:20.433040,Tech,1143,\"[\"\"necessary\"\", \"\"listen\"\", \"\"employee\"\", \"\"here\"\"]\",75939\r\nART-2300982,Valerie Boyd,\"Certain individual something may.\nHome forget soldier send write voice above discuss. Environment de\",Reverse-engineered optimal paradigm,2026-01-06T10:45:06.021177,Business,3413,\"[\"\"poor\"\", \"\"there\"\", \"\"position\"\", \"\"simply\"\"]\",51647\r\nART-9981163,Anthony Evans,Letter tend while visit piece practice experience. Job month use my should weight local. Goal writer,Distributed client-server middleware,2026-01-03T06:40:27.860753,Tech,4279,\"[\"\"explain\"\", \"\"lay\"\", \"\"huge\"\", \"\"attention\"\", \"\"you\"\"]\",94849\r\nART-9931857,Calvin Allen,\"Back wrong central begin nation between how. Already see difference once they.\nJust bill true effort\",Organic zero tolerance approach,2026-01-07T09:32:14.685651,Business,4614,\"[\"\"street\"\", \"\"able\"\", \"\"option\"\"]\",21166\r\nART-4047081,Leonard Reynolds,Probably second front family within leg politics. Change conference argue market live fact developme,Team-oriented analyzing Graphical User Interface,2026-01-01T21:50:34.262728,Tech,3628,\"[\"\"couple\"\", \"\"idea\"\", \"\"appear\"\", \"\"let\"\", \"\"around\"\"]\",26508\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id: ART-3366717\nheadline: Integrated bi-directional complexity\nauthor: Linda Clark\npublished: '2026-01-07T13:19:20.433040'\nsection: Tech\ncontent: 'Anything music blood how public to. Even student idea piece if. Whom phone\n  rich long.\n\n  Look memory help find reduce. Structure most tough realize ground.\n\n  Around fear reduce ago. Thus moment letter evening stuff three.\n\n  Her themselves campaign cup four catch as. Part turn leg.'\ntags:\n- necessary\n- listen\n- employee\n- here\nviews: 75939\nshares: 1143\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.57295\"\ntitle = \"Persevering global groupware\"\nabstract = \"Stand season mind indicate either. Buy gas keep skin.\"\nkeywords = [ \"stock\", \"member\", \"laugh\", \"language\", \"right\",]\ncitations = 204\n[[authors]]\nname = \"Edwin Moore\"\naffiliation = \"Smith-Jones\"\nemail = \"bowenzachary@example.net\"\n\n[[authors]]\nname = \"Anna Collins\"\naffiliation = \"Thomas, Rogers and Baldwin\"\nemail = \"thill@example.com\"\n\n[[authors]]\nname = \"Mrs. Mary Delacruz MD\"\naffiliation = \"French, Rodriguez and Johnson\"\nemail = \"amywest@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2022\ndoi = \"10.9461/HDZk\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output clinical note as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,2026-01-03,CN-2646438,41,M,MRN-771263,,,\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J35\"\"}]\",fever,2026-01-02,CN-4026207,45,M,MRN-741024,104/83,63,99.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I39\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K82\"\"}]\",chest pain,2026-01-02,CN-2698715,39,F,MRN-808918,132/92,90,97.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nresult_id = \"LAB-4504067\"\npatient_mrn = \"MRN-266543\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 181.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 164.3\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 140.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 113.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-4504067\",\n  \"patient_mrn\": \"MRN-266543\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 181.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 164.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 113.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-69367106</post_id>\n<platform>twitter</platform>\n<user_id>7643b70d-1c60-436f-974e-7bc6cee5e032</user_id>\n<username>gordonalexander</username>\n<content>See personal couple road president most next. Laugh teach lawyer character work present.\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.</content>\n<timestamp>2026-01-07T13:51:25.991400</timestamp>\n<hashtags>#PM</hashtags>\n<hashtags>#stage</hashtags>\n<hashtags>#government</hashtags>\n<engagement>\n<likes>1911</likes>\n<shares>761</shares>\n<comments>62</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"See personal couple road president most next. Laugh teach lawyer character work present.\nPage give e\",62,1911,761,\"[\"\"#PM\"\", \"\"#stage\"\", \"\"#government\"\"]\",twitter,POST-69367106,2026-01-07T13:51:25.991400,7643b70d-1c60-436f-974e-7bc6cee5e032,gordonalexander\r\n\"Method anything machine walk system seek price.\nSort none young rate early Republican one.\nExactly r\",405,1974,89,\"[\"\"#get\"\", \"\"#old\"\"]\",twitter,POST-85068038,2026-01-07T13:51:25.994146,61517577-910e-4335-87ac-36966103a3b1,charlesjoyce\r\nInstitution give image my. Rock stand need yet million on table others. Marriage good system happen ,420,6307,533,\"[\"\"#reality\"\", \"\"#experience\"\", \"\"#raise\"\", \"\"#especially\"\"]\",facebook,POST-14952495,2026-01-07T13:51:25.994518,f5384df6-9802-409b-af7e-09d894d03943,powerstammy\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nBecome research fire several area activity. Name beat four rock.,153,5516,205,\"[\"\"#organization\"\", \"\"#pass\"\", \"\"#individual\"\"]\",facebook,POST-35221409,2026-01-06T09:43:30.260031,5bf79f28-efaf-4acf-a145-21a849f6b14e,wmcdaniel\r\n\"Throw speech after job. Almost me benefit stuff language. Country imagine likely yes any mean.\nArtis\",252,5196,109,\"[\"\"#accept\"\", \"\"#speak\"\", \"\"#only\"\", \"\"#else\"\"]\",instagram,POST-45083303,2026-01-06T09:43:30.262359,adbca60f-3b6a-436e-9be4-e6a5f26d182e,johnsontina\r\nAdult politics man article story western fast. Out professor agent site this man light else. Like tr,90,6595,234,\"[\"\"#operation\"\", \"\"#right\"\", \"\"#drop\"\"]\",instagram,POST-81332795,2026-01-06T09:43:30.263007,69948f33-7a03-4715-be4e-59b93db7760c,fgreen\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nGLL470,CRS-9030,4,40,30,30,Christopher Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"yes\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"read\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"sign\"\"}, {\"\"week\"\": 4\",Fall 2024,Streamlined human-resource standardization 101\r\nWWS296,CRS-5798,3,40,30,30,John Nelson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"technology\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"community\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"they\"\"}\",Fall 2022,Configurable content-based paradigm 101\r\nVDW110,CRS-9783,4,40,30,30,Victor Scott,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"at\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"land\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"back\"\"}, {\"\"week\"\": 4,\",Spring 2022,Optional national initiative 101\r\nEBS493,CRS-9425,3,40,30,30,David Weeks,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"ever\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bill\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"hope\"\"}, {\"\"week\"\": \",Fall 2020,Polarized foreground alliance 101\r\nCFY350,CRS-2510,4,40,30,30,Kelly Turner,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"claim\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"loss\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"indicate\"\"}, {\"\"we\",Spring 2020,Customer-focused contextually-based moderator 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-7274622\"\npatient_mrn = \"MRN-291114\"\norder_date = \"2026-01-03\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 160.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 56.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 172.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 104.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate experiment result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-574681\",\n  \"title\": \"Effect of anyone on society\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 560,\n    \"duration_days\": 320\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.77,\n      \"endpoint\": 70.83,\n      \"p_value\": 0.3046\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 96.52,\n      \"endpoint\": 82.25,\n      \"p_value\": 0.0326\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.38,\n      \"endpoint\": 72.88,\n      \"p_value\": 0.2787\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.71,\n      \"endpoint\": 95.37,\n      \"p_value\": 0.4542\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-2309770\",\n  \"patient_mrn\": \"MRN-380513\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 62.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 75.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 170.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ],\n  \"patient_mrn\": \"MRN-588828\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Decentralized heuristic migration,124.58,PROD-791864,3.59,538,30x16x25cm,9.83,601\r\nbooks,USD,True,Multi-lateral needs-based data-warehouse,947.53,PROD-386548,3.69,587,63x53x28cm,43.49,619\r\nclothing,USD,True,Business-focused asymmetric methodology,467.54,PROD-845071,3.78,904,74x85x88cm,33.97,927\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-791864\nname: Decentralized heuristic migration\ncategory: books\nprice: 124.58\ncurrency: USD\nstock: 601\nis_available: true\nrating: 3.59\nreviews: 538\nspecs:\n  weight_kg: 9.83\n  dimensions: 30x16x25cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmessage: Computer so cold feeling huge reason reach.\nerror_id: ddf52566-8f32-4c90-8477-d7f45504f7db\nstack_trace:\n- at their.py:436\n- at activity.py:81\n- at test.py:46\ntimestamp: '2026-01-07T13:51:26.578554'\ncontext:\n  user_id: 97fc14e5-867d-4c23-9d2e-00b538b50acf\n  request_id: ab94fb1e-d258-4626-9686-12f860249c41\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39289028</post_id>\n<platform>instagram</platform>\n<user_id>a2301bd9-5c11-406a-b2a8-1c1f96bbd31c</user_id>\n<username>rhodessharon</username>\n<content>City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.</content>\n<timestamp>2026-01-07T13:51:26.862472</timestamp>\n<hashtags>#yet</hashtags>\n<hashtags>#listen</hashtags>\n<engagement>\n<likes>2391</likes>\n<shares>751</shares>\n<comments>108</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-39289028\"\nplatform = \"instagram\"\nuser_id = \"a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\"\nusername = \"rhodessharon\"\ncontent = \"City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.\"\ntimestamp = \"2026-01-07T13:51:26.862472\"\nhashtags = [ \"#yet\", \"#listen\",]\n\n[engagement]\nlikes = 2391\nshares = 751\ncomments = 108\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Read deal buy final thus. Sure home game rest lose.\nThose any reality if teach.\nMain never still lit\",\"[{\"\"name\"\": \"\"Scott Dunlap\"\", \"\"affiliation\"\": \"\"Daniels PLC\"\", \"\"email\"\": \"\"williamssheri@example.com\"\"}, {\"\"nam\",388,Reese-Perez,\"[\"\"measure\"\", \"\"stage\"\", \"\"scene\"\", \"\"reason\"\"]\",arXiv:2023.54834,10.8776/UhOT,Science,2020,Profit-focused radical throughput\r\nSuccessful laugh price range read budget teach or. Think generation sell force. Cup also mission wou,\"[{\"\"name\"\": \"\"Russell Woods\"\", \"\"affiliation\"\": \"\"Ward-Diaz\"\", \"\"email\"\": \"\"mccarthychristopher@example.org\"\"}, \",260,None,\"[\"\"clear\"\", \"\"war\"\", \"\"now\"\", \"\"old\"\", \"\"light\"\"]\",arXiv:2023.17967,10.6121/bfko,Science,2021,Monitored 24/7 moderator\r\nWhat pick culture relationship deep. Former she because course on head finally behavior. Only floor ,\"[{\"\"name\"\": \"\"Daniel Martinez\"\", \"\"affiliation\"\": \"\"Lowe, Chan and Moreno\"\", \"\"email\"\": \"\"stevenbell@example.co\",56,Thomas-Lopez,\"[\"\"sea\"\", \"\"mission\"\", \"\"success\"\", \"\"machine\"\", \"\"television\"\"]\",arXiv:2022.73303,10.8325/DalW,Nature,2022,Grass-roots actuating framework\r\nDoor product western someone plan make speak which. Home note color like.,\"[{\"\"name\"\": \"\"Patrick Allen\"\", \"\"affiliation\"\": \"\"Palmer-Ball\"\", \"\"email\"\": \"\"amay@example.org\"\"}, {\"\"name\"\": \"\"Jes\",126,None,\"[\"\"not\"\", \"\"he\"\", \"\"wrong\"\"]\",arXiv:2024.83375,10.3690/MgLP,Cell,2023,Upgradable reciprocal circuit\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.54834\",\n  \"title\": \"Profit-focused radical throughput\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Dunlap\",\n      \"affiliation\": \"Daniels PLC\",\n      \"email\": \"williamssheri@example.com\"\n    },\n    {\n      \"name\": \"Shawn Payne\",\n      \"affiliation\": \"Dorsey, Price and Burns\",\n      \"email\": \"smoyer@example.net\"\n    },\n    {\n      \"name\": \"Chase Lee\",\n      \"affiliation\": \"Garcia Inc\",\n      \"email\": \"burgesssarah@example.org\"\n    }\n  ],\n  \"abstract\": \"Read deal buy final thus. Sure home game rest lose.\\nThose any reality if teach.\\nMain never still little study clearly today.\",\n  \"keywords\": [\n    \"measure\",\n    \"stage\",\n    \"scene\",\n    \"reason\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2020,\n    \"doi\": \"10.8776/UhOT\"\n  },\n  \"citations\": 388,\n  \"funding_source\": \"Reese-Perez\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-78635818\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"a739269a-9642-463c-9c88-cb97c795c8d8\",\n  \"username\": \"kevin10\",\n  \"content\": \"Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.\",\n  \"timestamp\": \"2026-01-07T13:51:25.965362\",\n  \"hashtags\": [\n    \"#model\",\n    \"#firm\"\n  ],\n  \"engagement\": {\n    \"likes\": 3831,\n    \"shares\": 379,\n    \"comments\": 204\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78635818</post_id>\n<platform>facebook</platform>\n<user_id>a739269a-9642-463c-9c88-cb97c795c8d8</user_id>\n<username>kevin10</username>\n<content>Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.</content>\n<timestamp>2026-01-07T13:51:25.965362</timestamp>\n<hashtags>#model</hashtags>\n<hashtags>#firm</hashtags>\n<engagement>\n<likes>3831</likes>\n<shares>379</shares>\n<comments>204</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nreview_id = \"REV-1384784\"\nproduct_id = \"PROD-499626\"\nuser_id = \"4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9\"\nrating = 1\ntitle = \"Respond out five.\"\ncontent = \"I stay little Democrat money where stop. Than development activity.\\nAlong ahead their standard early nor reason. Fight with minute learn soldier understand.\"\ndate = \"2026-01-05\"\nverified_purchase = false\nhelpful_votes = 94\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-1384784\nproduct_id: PROD-499626\nuser_id: 4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9\nrating: 1\ntitle: Respond out five.\ncontent: 'I stay little Democrat money where stop. Than development activity.\n\n  Along ahead their standard early nor reason. Fight with minute learn soldier understand.'\ndate: '2026-01-05'\nverified_purchase: false\nhelpful_votes: 94\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Williams Ltd\"\nticker = \"IHFM\"\nquarter = \"Q3 2022\"\nrevenue = 93368790\nexpenses = 48847964\nnet_income = 12028281\neps = 9.18\n\n[metrics]\nprofit_margin = 7.56\nroe = 13.89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"authors\": [\n    {\n      \"name\": \"Emily Davis\",\n      \"affiliation\": \"Nelson, Diaz and Humphrey\",\n      \"email\": \"jpalmer@example.org\"\n    },\n    {\n      \"name\": \"Robert Clark\",\n      \"affiliation\": \"James Inc\",\n      \"email\": \"dennis02@example.net\"\n    }\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6797/tlMT\"\n  },\n  \"keywords\": [\n    \"lead\",\n    \"list\",\n    \"she\"\n  ],\n  \"funding_source\": null,\n  \"paper_id\": \"arXiv:2022.72917\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CMP,MRN-734100,LAB-9000301,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 107.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-01,Lipid,MRN-611236,LAB-2652457,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 186.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 57\"\r\n2026-01-02,Lipid,MRN-556501,LAB-5129200,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 50.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 175.\"\r\n2026-01-02,Lipid,MRN-445379,LAB-6533836,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 82.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-04,CBC,MRN-401296,LAB-4649384,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 171.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Smith-Glover\",\n  \"ticker\": \"JROI\",\n  \"quarter\": \"Q3 2023\",\n  \"revenue\": 95238846,\n  \"expenses\": 30652579,\n  \"net_income\": 5856951,\n  \"eps\": 7.31,\n  \"metrics\": {\n    \"profit_margin\": 9.94,\n    \"roe\": 10.91\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Smith-Glover</company>\n<ticker>JROI</ticker>\n<quarter>Q3 2023</quarter>\n<revenue>95238846</revenue>\n<expenses>30652579</expenses>\n<net_income>5856951</net_income>\n<eps>7.31</eps>\n<metrics>\n<profit_margin>9.94</profit_margin>\n<roe>10.91</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"September 2024\",\n  \"total_revenue\": 6726526,\n  \"units_sold\": 45392,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2051641,\n      \"growth\": 15.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4340607,\n      \"growth\": -6.59\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7798\",\n      \"sales\": 367269\n    },\n    {\n      \"sku\": \"SKU-2105\",\n      \"sales\": 291023\n    },\n    {\n      \"sku\": \"SKU-5730\",\n      \"sales\": 275348\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-6952117\",\n  \"patient\": {\n    \"mrn\": \"MRN-227055\",\n    \"age\": 50,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"146/78\",\n    \"hr\": 63,\n    \"temp_f\": 97.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J35\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I58\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6952117</note_id>\n<patient>\n<mrn>MRN-227055</mrn>\n<age>50</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>146/78</bp>\n<hr>63</hr>\n<temp_f>97.9</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J35</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I58</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Configurable optimizing Local Area Network API\"\nversion = \"1.0.0\"\n\n[paths.\"/real\".get]\nsummary = \"Write my result movement capital manage.\"\n[[paths.\"/real\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/real\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/real\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"8332f894-7969-41dc-b41e-1d31b796cba0\",\n  \"timestamp\": \"2026-01-07T13:51:27.125156\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"imageService\",\n  \"message\": \"Bad prepare able heavy morning.\",\n  \"stack_trace\": [\n    \"at property.py:50\",\n    \"at short.py:272\"\n  ],\n  \"context\": {\n    \"user_id\": \"a3de195f-baae-4936-bd72-230b1e266327\",\n    \"request_id\": \"35eb846c-1e2f-4451-a60f-b8ee42943a10\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8332f894-7969-41dc-b41e-1d31b796cba0</error_id>\n<timestamp>2026-01-07T13:51:27.125156</timestamp>\n<level>CRITICAL</level>\n<service>imageService</service>\n<message>Bad prepare able heavy morning.</message>\n<stack_trace>at property.py:50</stack_trace>\n<stack_trace>at short.py:272</stack_trace>\n<context>\n<user_id>a3de195f-baae-4936-bd72-230b1e266327</user_id>\n<request_id>35eb846c-1e2f-4451-a60f-b8ee42943a10</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"September 2023\"\ntotal_revenue = 9732569\nunits_sold = 38507\n[[channels]]\nname = \"retail\"\nrevenue = 4979277\ngrowth = 36.06\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4800863\ngrowth = 8.87\n\n[[top_products]]\nsku = \"SKU-5649\"\nsales = 311811\n\n[[top_products]]\nsku = \"SKU-1879\"\nsales = 391924\n\n[[top_products]]\nsku = \"SKU-4665\"\nsales = 317392\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8ef553f5-74fa-47eb-bfcb-571b6fa73c35</error_id>\n<timestamp>2026-01-07T13:51:27.105544</timestamp>\n<level>WARNING</level>\n<service>radioService</service>\n<message>Professional pull soon.</message>\n<stack_trace>at eye.py:220</stack_trace>\n<stack_trace>at short.py:148</stack_trace>\n<stack_trace>at the.py:448</stack_trace>\n<context>\n<user_id>162209b9-e3ae-4c7a-af39-f96af44cdcaa</user_id>\n<request_id>a05e806a-f592-4611-8d80-dbe2773bec40</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"article_id\": \"ART-9178511\",\n  \"headline\": \"Fully-configurable secondary access\",\n  \"author\": \"Gabrielle Daugherty\",\n  \"published\": \"2026-01-05T07:34:40.744934\",\n  \"section\": \"Tech\",\n  \"content\": \"Lawyer might home mouth end so science. Hope attention strong public teach person beautiful though. Really decision land evening year.\\nJust role ground discover. Five stand writer floor.\",\n  \"tags\": [\n    \"maybe\",\n    \"glass\",\n    \"election\",\n    \"moment\"\n  ],\n  \"views\": 24250,\n  \"shares\": 778\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9178511</article_id>\n<headline>Fully-configurable secondary access</headline>\n<author>Gabrielle Daugherty</author>\n<published>2026-01-05T07:34:40.744934</published>\n<section>Tech</section>\n<content>Lawyer might home mouth end so science. Hope attention strong public teach person beautiful though. Really decision land evening year.\nJust role ground discover. Five stand writer floor.</content>\n<tags>maybe</tags>\n<tags>glass</tags>\n<tags>election</tags>\n<tags>moment</tags>\n<views>24250</views>\n<shares>778</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following YAML to JSON:\nrx_id: RX-5973418\npatient_mrn: MRN-615844\nprescriber: Brian Erickson\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5973418\",\n  \"patient_mrn\": \"MRN-615844\",\n  \"prescriber\": \"Brian Erickson\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-168652</experiment_id>\n<title>Effect of green on from</title>\n<methodology>\n<design>cohort</design>\n<sample_size>797</sample_size>\n<duration_days>186</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>24.16</baseline>\n<endpoint>44.82</endpoint>\n<p_value>0.0559</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>16.54</baseline>\n<endpoint>28.48</endpoint>\n<p_value>0.2997</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreviews: 730\ncategory: books\nstock: 824\nis_available: true\nspecs:\n  weight_kg: 7.36\n  dimensions: 46x21x76cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3366717</article_id>\n<headline>Integrated bi-directional complexity</headline>\n<author>Linda Clark</author>\n<published>2026-01-07T13:19:20.433040</published>\n<section>Tech</section>\n<content>Anything music blood how public to. Even student idea piece if. Whom phone rich long.\nLook memory help find reduce. Structure most tough realize ground.\nAround fear reduce ago. Thus moment letter evening stuff three.\nHer themselves campaign cup four catch as. Part turn leg.</content>\n<tags>necessary</tags>\n<tags>listen</tags>\n<tags>employee</tags>\n<tags>here</tags>\n<views>75939</views>\n<shares>1143</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\nresult_id: LAB-9017474\npatient_mrn: MRN-783803\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: Glucose\n  value: 65.6\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 160.2\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 142.4\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 179.9\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 97.3\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 148.5\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 174.6\n  unit: g/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-9017474\",\n  \"patient_mrn\": \"MRN-783803\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 65.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 160.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 179.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 148.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nitems:\n- sku: SKU-57644\n  qty: 1\n  price: 101.7\ntax: 163.9\ntimestamp: '2026-01-06T09:43:29.979668'\ntotal: 1333.03\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-5751204\",\n  \"patient\": {\n    \"mrn\": \"MRN-566004\",\n    \"age\": 47,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"160/96\",\n    \"hr\": 75,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CMP,MRN-322322,LAB-9548003,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 67.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-04,CMP,MRN-774832,LAB-7714416,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 129.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 193.4, \"\"u\"\r\n2026-01-05,Lipid,MRN-430139,LAB-1961466,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 165.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following CSV to JSON:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,message,paper_id,publication_doi,publication_venue,publication_year,stack_trace,timestamp,title\r\n,,,ab94fb1e-d258-4626-9686-12f860249c41,97fc14e5-867d-4c23-9d2e-00b538b50acf,ddf52566-8f32-4c90-8477-d7f45504f7db,,,Computer so cold feeling huge reason reach.,,,,,\"[\"\"at their.py:436\"\", \"\"at activity.py:81\"\", \"\"at test.py:46\"\"]\",2026-01-07T13:51:26.578554,\r\nSize late draw with authority fight over. Money eat find cut back appear.,\"[{\"\"name\"\": \"\"Kimberly Hernandez\"\", \"\"affiliation\"\": \"\"Harrington PLC\"\", \"\"email\"\": \"\"amylevine@example.net\"\"}, \",56,,,,None,\"[\"\"people\"\", \"\"pull\"\", \"\"heart\"\", \"\"majority\"\"]\",,arXiv:2024.77377,10.7816/OqBr,Science,2022,,,Visionary scalable info-mediaries\r\nScore take financial reflect same about. Who thousand site before fill color exactly leave. Next con,\"[{\"\"name\"\": \"\"Stephen Washington\"\", \"\"affiliation\"\": \"\"Walker-Sanchez\"\", \"\"email\"\": \"\"moralestodd@example.net\"\"}\",180,,,,Ward Group,\"[\"\"final\"\", \"\"research\"\", \"\"effect\"\", \"\"camera\"\"]\",,arXiv:2023.89584,10.5916/Yrbo,Science,2024,,,Sharable bi-directional methodology\r\nMay sing institution eat. Affect save almost goal former. Nation article born lay enter sport call d,\"[{\"\"name\"\": \"\"Alexandra White\"\", \"\"affiliation\"\": \"\"Jackson-White\"\", \"\"email\"\": \"\"randall75@example.com\"\"}, {\"\"na\",460,,,,None,\"[\"\"between\"\", \"\"understand\"\", \"\"less\"\", \"\"country\"\"]\",,arXiv:2020.39701,10.2162/Dqnk,Cell,2023,,,Monitored upward-trending extranet\r\nSometimes thing according build own ready. World large past sing.,\"[{\"\"name\"\": \"\"Anthony Blake\"\", \"\"affiliation\"\": \"\"Allen-Roman\"\", \"\"email\"\": \"\"brett38@example.org\"\"}, {\"\"name\"\": \"\"\",79,,,,Williams and Sons,\"[\"\"star\"\", \"\"police\"\", \"\"well\"\"]\",,arXiv:2024.33190,10.3599/fPBN,Science,2024,,,Upgradable background synergy\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from CSV to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"message\": \"Computer so cold feeling huge reason reach.\",\n  \"error_id\": \"ddf52566-8f32-4c90-8477-d7f45504f7db\",\n  \"stack_trace\": [\n    \"at their.py:436\",\n    \"at activity.py:81\",\n    \"at test.py:46\"\n  ],\n  \"timestamp\": \"2026-01-07T13:51:26.578554\",\n  \"context\": {\n    \"user_id\": \"97fc14e5-867d-4c23-9d2e-00b538b50acf\",\n    \"request_id\": \"ab94fb1e-d258-4626-9686-12f860249c41\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,course_id,date,grade,percentage,scores,student_id,total_score,type\r\nASMT-810488,,,,51.02,,,65,\r\nASMT-409975,CRS-2271,2026-01-01,B,70.13,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 5, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 8, \"\"po\",STU-610603,66,exam\r\nASMT-225420,CRS-3299,2026-01-06,C,50.04,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 6, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 7, \"\"po\",STU-391847,82,assignment\r\nASMT-687595,CRS-5319,2026-01-04,B,83.21,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-807802,84,assignment\r\nASMT-613043,CRS-1031,2026-01-04,B,81.87,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 5, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 2, \"\"po\",STU-325536,57,assignment\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2024\ntotal_revenue: 5319249\nunits_sold: 96009\nchannels:\n- name: wholesale\n  revenue: 941227\n  growth: 26.4\n- name: retail\n  revenue: 937409\n  growth: 30.07\ntop_products:\n- sku: SKU-2900\n  sales: 81858\n- sku: SKU-8266\n  sales: 123988\n- sku: SKU-9969\n  sales: 32400\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-299234\nparties:\n- name: Murphy, Hawkins and Mckenzie\n  role: party_a\n- name: Collins-Miller\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 46\nvalue: 506357\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\ntitle: Polarized methodical algorithm\nauthors:\n- name: Caroline Barnes\n  affiliation: Parker Ltd\n  email: angelajackson@example.net\n- name: Mario Boyd\n  affiliation: Johnson, Barber and Higgins\n  email: lfuller@example.com\nfunding_source: null\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from YAML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"title\": \"Polarized methodical algorithm\",\n  \"authors\": [\n    {\n      \"name\": \"Caroline Barnes\",\n      \"affiliation\": \"Parker Ltd\",\n      \"email\": \"angelajackson@example.net\"\n    },\n    {\n      \"name\": \"Mario Boyd\",\n      \"affiliation\": \"Johnson, Barber and Higgins\",\n      \"email\": \"lfuller@example.com\"\n    }\n  ],\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-549878\"\nstudent_id = \"STU-264168\"\ncourse_id = \"CRS-6692\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 70\npercentage = 54.38\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output clinical note as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K11\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J76\"\"}, {\"\"problem\",chest pain,2026-01-01,CN-4263292,,,,95/71,65,99.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I22\"\"}]\",headache,2026-01-04,CN-6479342,31,M,MRN-458987,129/60,100,102.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J52\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K32\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-04,CN-2342478,18,F,MRN-257756,159/75,120,97.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I51\"\"}]\",fever,2026-01-05,CN-1993678,90,M,MRN-275294,154/107,67,99.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J88\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K38\"\"}, {\"\"problem\",fever,2026-01-01,CN-2217382,86,M,MRN-718269,129/95,86,98.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 234c0781-6e40-4e46-8b0d-ad1b39309eb0\ntimestamp: '2026-01-07T13:51:25.659911'\nlevel: WARNING\nservice: beyondService\nmessage: Section material entire top community.\nstack_trace:\n- at reason.py:320\n- at always.py:365\n- at red.py:27\ncontext:\n  user_id: 6765bd92-f82e-426f-a383-fa0a088a0752\n  request_id: 4ccfb0b5-8185-4d26-902a-0379b3534400\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5570</course_id>\n<code>ZMD258</code>\n<title>Mandatory leadingedge superstructure 101</title>\n<instructor>Gregory Dunn</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>guess</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>forget</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>technology</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sea</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>other</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>new</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>report</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>guy</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>can</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>inside</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-52722833</post_id>\n<platform>facebook</platform>\n<user_id>d42576ea-a78d-4261-852d-cbcc2fd55da5</user_id>\n<username>justin96</username>\n<content>Southern write three operation throw interest whether.\nDecade quality training employee. Financial out position catch finish author. Past over in create.\nNice reduce try contain future back customer.</content>\n<timestamp>2026-01-07T13:51:26.716888</timestamp>\n<hashtags>#report</hashtags>\n<hashtags>#newspaper</hashtags>\n<engagement>\n<likes>8106</likes>\n<shares>850</shares>\n<comments>244</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-52722833\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"d42576ea-a78d-4261-852d-cbcc2fd55da5\",\n  \"username\": \"justin96\",\n  \"content\": \"Southern write three operation throw interest whether.\\nDecade quality training employee. Financial out position catch finish author. Past over in create.\\nNice reduce try contain future back customer.\",\n  \"timestamp\": \"2026-01-07T13:51:26.716888\",\n  \"hashtags\": [\n    \"#report\",\n    \"#newspaper\"\n  ],\n  \"engagement\": {\n    \"likes\": 8106,\n    \"shares\": 850,\n    \"comments\": 244\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-7665793\",\n  \"patient_mrn\": \"MRN-934255\",\n  \"prescriber\": \"Danielle Brown\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nDWP236,CRS-3124,3,40,30,30,Mary Adkins,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"when\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"central\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"upon\"\"}, {\"\"week\",Spring 2024,Profit-focused bifurcated standardization 101\r\nBZR450,CRS-1290,4,40,30,30,Lisa Salas,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"just\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"increase\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"these\"\"}, {\"\"we\",Fall 2022,Visionary discrete framework 101\r\nDFF208,CRS-3924,3,40,30,30,Terry Martinez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"avoid\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"race\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"loss\"\"}, {\"\"week\"\":\",Fall 2024,Multi-tiered transitional monitoring 101\r\nFYU411,CRS-9188,4,40,30,30,Brett Rodriguez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"best\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"way\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"outside\"\"}, {\"\"week\"\"\",Fall 2020,Customer-focused executive artificial intelligence 101\r\nRLD130,CRS-2442,4,40,30,30,James Fry,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"computer\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"suddenly\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"source\"\"},\",Fall 2020,Switchable foreground service-desk 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Configurable contextually-based knowledgebase API\n  version: 1.0.0\npaths:\n  /truth:\n    get:\n      summary: Guess purpose top debate hear where.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need prescription details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,patient_mrn,prescriber,publication_doi,publication_venue,publication_year,title\r\n,,,2026-01-04,,,,MRN-466413,Patrick Stevens,,,,\r\nMagazine page close report safe power. Artist role particularly list health whole also. Individual s,\"[{\"\"name\"\": \"\"Nicholas Lamb\"\", \"\"affiliation\"\": \"\"Garcia Group\"\", \"\"email\"\": \"\"frobinson@example.net\"\"}, {\"\"name\"\"\",148,,None,\"[\"\"must\"\", \"\"movement\"\", \"\"throughout\"\", \"\"where\"\"]\",arXiv:2021.26401,,,10.6769/UGmU,Cell,2021,Diverse multi-tasking data-warehouse\r\nTrip decide speech cup base city. Free north place international head. Artist prove least some.,\"[{\"\"name\"\": \"\"Dylan Martin\"\", \"\"affiliation\"\": \"\"Randolph, Moore and Harrington\"\", \"\"email\"\": \"\"qalexander@exam\",250,,None,\"[\"\"few\"\", \"\"quite\"\", \"\"also\"\", \"\"baby\"\"]\",arXiv:2020.38435,,,10.4060/OHkA,Cell,2024,Optional high-level analyzer\r\nProve seat pressure health the describe. Sure inside could. Side take people million race recently.,\"[{\"\"name\"\": \"\"James Miller\"\", \"\"affiliation\"\": \"\"Taylor, Martin and Lewis\"\", \"\"email\"\": \"\"latkinson@example.com\",456,,None,\"[\"\"cultural\"\", \"\"although\"\", \"\"standard\"\", \"\"return\"\"]\",arXiv:2021.45906,,,10.4268/YfmT,Nature,2023,Right-sized intangible product\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9456\"\ncode = \"KDS432\"\ntitle = \"Multi-channeled local complexity 101\"\ninstructor = \"Kenneth Rogers\"\ncredits = 3\nterm = \"Fall 2020\"\n[[schedule]]\nweek = 1\ntopic = \"activity\"\n\n[[schedule]]\nweek = 2\ntopic = \"foot\"\n\n[[schedule]]\nweek = 3\ntopic = \"reason\"\n\n[[schedule]]\nweek = 4\ntopic = \"rule\"\n\n[[schedule]]\nweek = 5\ntopic = \"paper\"\n\n[[schedule]]\nweek = 6\ntopic = \"current\"\n\n[[schedule]]\nweek = 7\ntopic = \"scene\"\n\n[[schedule]]\nweek = 8\ntopic = \"later\"\n\n[[schedule]]\nweek = 9\ntopic = \"choice\"\n\n[[schedule]]\nweek = 10\ntopic = \"box\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\npaths:\n  /wonder:\n    get:\n      summary: Attention not themselves gas left local picture bo\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\ninfo:\n  title: Open-architected 6thgeneration capability API\n  version: 1.0.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"ff91c212-6cce-4ac2-978d-0740381882de\"\ntimestamp = \"2026-01-07T13:51:27.679071\"\nlevel = \"WARNING\"\nservice = \"drawService\"\nmessage = \"Support red list product forget cut speak.\"\nstack_trace = [ \"at girl.py:186\", \"at hold.py:186\",]\n\n[context]\nuser_id = \"473e683b-291e-461f-b848-d224b7dcbd8b\"\nrequest_id = \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nBecker-Martinez,2.39,50274851,17.0,10.6,7284021,Q4 2021,48919598,QZXR\r\nLawrence Inc,6.25,33905805,23.79,7.9,194801,Q4 2021,56445797,COCM\r\n\"Blake, Matthews and Arellano\",3.72,53136365,19.36,13.68,11765794,Q4 2023,38339901,ELBN\r\n\"Jones, Flowers and Mccall\",5.4,39028495,24.35,8.87,15219215,Q4 2020,96529423,WPEM\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-7317178\"\nheadline = \"Sharable 5thgeneration framework\"\nauthor = \"Judy Garner\"\npublished = \"2026-01-07T07:35:28.380949\"\nsection = \"Politics\"\ncontent = \"Cover whole myself late last month authority. Make away choose difficult.\\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.\"\ntags = [ \"cover\", \"people\", \"available\", \"above\", \"service\",]\nviews = 84087\nshares = 2480\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Object-based value-added workforce,802.3,PROD-428311,1.5,81,99x87x32cm,27.85,719\r\nclothing,USD,True,Decentralized attitude-oriented encryption,117.83,PROD-763826,4.43,842,12x44x40cm,34.29,370\r\nclothing,USD,True,Optional responsive pricing structure,724.95,PROD-545923,4.55,113,44x58x15cm,46.48,211\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"post_id\": \"POST-90196326\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"146c178d-e548-4357-8cd4-e8464cea2f9b\",\n  \"username\": \"kevincunningham\",\n  \"content\": \"Three would identify method across operation opportunity.\\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\\nCentral thus simple thousand morning.\",\n  \"timestamp\": \"2026-01-07T13:51:26.698310\",\n  \"hashtags\": [\n    \"#pay\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 458,\n    \"shares\": 383,\n    \"comments\": 63\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id: POST-90196326\nplatform: facebook\nuser_id: 146c178d-e548-4357-8cd4-e8464cea2f9b\nusername: kevincunningham\ncontent: 'Three would identify method across operation opportunity.\n\n  What realize number. Country perform simple team player. Improve order east mother\n  news magazine trade.\n\n  Central thus simple thousand morning.'\ntimestamp: '2026-01-07T13:51:26.698310'\nhashtags:\n- '#pay'\n- '#keep'\nengagement:\n  likes: 458\n  shares: 383\n  comments: 63\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-1812594\"\npatient_mrn = \"MRN-755137\"\norder_date = \"2026-01-06\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 131.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 183.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 130.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 178.3\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Open-architected 6thgeneration capability API\"\nversion = \"1.0.0\"\n\n[paths.\"/wonder\".get]\nsummary = \"Attention not themselves gas left local picture bo\"\n[[paths.\"/wonder\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/wonder\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/wonder\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/wonder\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output api specification as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Object-based multimedia secured line API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</party>\n<get>\n<summary>Discussion partner stay wear again.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//party>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\npaths:\n  /somebody:\n    get:\n      summary: Threat common organization project.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\ninfo:\n  title: Networked system-worthy project API\n  version: 1.0.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<results>\n<metric>efficacy</metric>\n<baseline>40.85</baseline>\n<endpoint>40.08</endpoint>\n<p_value>0.4196</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.87</baseline>\n<endpoint>28.4</endpoint>\n<p_value>0.208</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>74.0</baseline>\n<endpoint>18.43</endpoint>\n<p_value>0.3638</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>50.48</baseline>\n<endpoint>15.59</endpoint>\n<p_value>0.1146</p_value>\n</results>\n<methodology>\n<design>observational</design>\n<sample_size>351</sample_size>\n<duration_days>339</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 40.85,\n      \"endpoint\": 40.08,\n      \"p_value\": 0.4196\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.87,\n      \"endpoint\": 28.4,\n      \"p_value\": 0.208\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 74.0,\n      \"endpoint\": 18.43,\n      \"p_value\": 0.3638\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.48,\n      \"endpoint\": 15.59,\n      \"p_value\": 0.1146\n    }\n  ],\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 351,\n    \"duration_days\": 339\n  },\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Networked system-worthy project API\"\nversion = \"1.0.0\"\n\n[paths.\"/somebody\".get]\nsummary = \"Threat common organization project.\"\n[[paths.\"/somebody\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/somebody\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/somebody\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/somebody\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\npaper_id = \"arXiv:2023.21424\"\ntitle = \"Cross-platform fault-tolerant circuit\"\nabstract = \"Truth himself long country car environment. Free design relate hope admit learn identify.\"\nkeywords = [ \"share\", \"feeling\", \"environmental\",]\ncitations = 477\nfunding_source = \"Barker-Wise\"\n[[authors]]\nname = \"Charlotte Sellers\"\naffiliation = \"Armstrong-Marks\"\nemail = \"weaverelizabeth@example.com\"\n\n[[authors]]\nname = \"Cynthia Johnston MD\"\naffiliation = \"Rogers Inc\"\nemail = \"ccastaneda@example.org\"\n\n[[authors]]\nname = \"Robert Velasquez\"\naffiliation = \"Alvarado LLC\"\nemail = \"psullivan@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.6091/Sfwn\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2023.21424\ntitle: Cross-platform fault-tolerant circuit\nauthors:\n- name: Charlotte Sellers\n  affiliation: Armstrong-Marks\n  email: weaverelizabeth@example.com\n- name: Cynthia Johnston MD\n  affiliation: Rogers Inc\n  email: ccastaneda@example.org\n- name: Robert Velasquez\n  affiliation: Alvarado LLC\n  email: psullivan@example.net\nabstract: Truth himself long country car environment. Free design relate hope admit\n  learn identify.\nkeywords:\n- share\n- feeling\n- environmental\npublication:\n  venue: Science\n  year: 2022\n  doi: 10.6091/Sfwn\ncitations: 477\nfunding_source: Barker-Wise\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 09dfca00-c99d-4286-9a0f-4cb692d71a62\ntimestamp: '2026-01-06T09:43:33.808770'\nlevel: ERROR\nservice: productionService\nmessage: Force customer next.\nstack_trace:\n- at meet.py:21\n- at court.py:201\ncontext:\n  user_id: 81537eca-ca34-433f-9840-6be324d887da\n  request_id: fdcd81ff-ebcb-45cc-8a22-b349e456bc1d\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment:\n- problem: diabetes\n  icd10: I24\nencounter_date: '2026-01-06'\npatient:\n  mrn: MRN-470382\n  age: 61\n  gender: F\nnote_id: CN-3244099\nvitals:\n  bp: 158/77\n  hr: 112\n  temp_f: 99.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I43\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I44\"\"}]\",headache,2026-01-02,CN-9733347,45,M,MRN-447984,136/74,68,98.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I10\"\"}]\",chest pain,2026-01-02,CN-4591435,70,F,MRN-476337,101/73,67,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J64\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K17\"\"}, {\"\"problem\"\": \"\"diab\",chest pain,2026-01-03,CN-9376251,87,F,MRN-279725,165/80,67,101.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I62\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K70\"\"}]\",fever,2026-01-04,CN-4835134,71,M,MRN-579703,96/91,119,101.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I64\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J37\"\"}, {\"\"problem\"\": \"\"diab\",headache,2026-01-04,CN-3925983,54,M,MRN-225294,134/78,115,97.8\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-96998587\"\ncustomer_id = \"ee50bb87-b523-4e25-a457-71a20134c9ce\"\ntimestamp = \"2026-01-06T09:43:32.230191\"\nsubtotal = 641.99\ntax = 131.13\ntotal = 2135.0\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-38396\"\nqty = 2\nprice = 358.14\n\n[[items]]\nsku = \"SKU-16249\"\nqty = 1\nprice = 424.96\n\n[[items]]\nsku = \"SKU-37380\"\nqty = 2\nprice = 416.71\n\n[[items]]\nsku = \"SKU-19778\"\nqty = 1\nprice = 470.22\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-428311</product_id>\n<name>Object-based value-added workforce</name>\n<category>books</category>\n<price>802.3</price>\n<currency>USD</currency>\n<stock>719</stock>\n<is_available>True</is_available>\n<rating>1.5</rating>\n<reviews>81</reviews>\n<specs>\n<weight_kg>27.85</weight_kg>\n<dimensions>99x87x32cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-895519\nname: Balanced real-time array\ncategory: clothing\nprice: 113.38\ncurrency: USD\nstock: 485\nis_available: true\nrating: 3.45\nreviews: 770\nspecs:\n  weight_kg: 23.6\n  dimensions: 63x20x37cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Synchronized holistic archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/policy\": {\n      \"get\": {\n        \"summary\": \"Red reason present loss yeah run.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<patient>\n<mrn>MRN-802088</mrn>\n<age>30</age>\n<gender>M</gender>\n</patient>\n<note_id>CN-3759937</note_id>\n<vitals>\n<bp>119/74</bp>\n<hr>67</hr>\n<temp_f>100.9</temp_f>\n</vitals>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Synchronized holistic archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</policy>\n<get>\n<summary>Red reason present loss yeah run.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//policy>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Synchronized holistic archive API\"\nversion = \"1.0.0\"\n\n[paths.\"/policy\".get]\nsummary = \"Red reason present loss yeah run.\"\n[[paths.\"/policy\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/policy\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/policy\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paths\": {\n    \"/population\": {\n      \"get\": {\n        \"summary\": \"Lead room develop man according street century.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Ameliorated radical initiative API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-986141\"\nname = \"Focused neutral encoding\"\ncategory = \"books\"\nprice = 14.45\ncurrency = \"USD\"\nstock = 826\nis_available = true\nrating = 4.59\nreviews = 564\n\n[specs]\nweight_kg = 27.7\ndimensions = \"42x99x90cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output experiment result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-393268\ntitle: Effect of themselves on time\nmethodology:\n  design: RCT\n  sample_size: 237\n  duration_days: 116\nresults:\n- metric: efficacy\n  baseline: 34.76\n  endpoint: 73.98\n  p_value: 0.4055\n- metric: safety\n  baseline: 70.26\n  endpoint: 84.17\n  p_value: 0.253\n- metric: safety\n  baseline: 22.1\n  endpoint: 56.91\n  p_value: 0.1172\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-4422869\npatient_mrn: MRN-579203\nprescriber: Vanessa Moore\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-788955,2026-01-03,\"[{\"\"name\"\": \"\"Lynn PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lopez-Stone\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,54,775709\r\nCTR-682890,2026-01-05,\"[{\"\"name\"\": \"\"Stephens, Dean and Williams\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lopez, Collier and Peters\"\", \"\"\",pending,56,573376\r\nCTR-850544,2026-01-02,\"[{\"\"name\"\": \"\"Beltran-Arellano\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Maldonado, Graham and Black\"\", \"\"role\"\": \"\"p\",executed,55,19824\r\nCTR-894727,2026-01-03,\"[{\"\"name\"\": \"\"Williams, Soto and Long\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ho-Kirby\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,30,116297\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"article_id\": \"ART-6180455\",\n  \"headline\": \"Grass-roots multi-tasking hub\",\n  \"author\": \"David Espinoza\",\n  \"published\": \"2026-01-07T13:20:10.771283\",\n  \"section\": \"Politics\",\n  \"content\": \"Either large lot east. Show everybody away city election happy my. Believe left sure mother.\\nWhom game determine road little. Sing this character. Agent fill kitchen themselves agreement.\\nWoman draw budget stage. Star cultural old president where national success.\",\n  \"tags\": [\n    \"size\",\n    \"commercial\",\n    \"president\",\n    \"city\",\n    \"expect\"\n  ],\n  \"views\": 43396,\n  \"shares\": 2564\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-6180455,David Espinoza,\"Either large lot east. Show everybody away city election happy my. Believe left sure mother.\nWhom ga\",Grass-roots multi-tasking hub,2026-01-07T13:20:10.771283,Politics,2564,\"[\"\"size\"\", \"\"commercial\"\", \"\"president\"\", \"\"city\"\", \"\"expect\"\"]\",43396\r\nART-9783952,John Hendricks,Send truth approach learn few success. Within sound such know keep court responsibility. Approach ho,Optimized stable flexibility,2026-01-05T15:20:15.286883,Politics,4957,\"[\"\"key\"\", \"\"thing\"\", \"\"enough\"\"]\",77371\r\nART-1887395,Michelle Hood,\"Figure example character. Somebody rock college focus book despite.\nFull east if half state school p\",Diverse needs-based parallelism,2026-01-04T13:14:28.038369,Sports,1344,\"[\"\"may\"\", \"\"history\"\", \"\"significant\"\", \"\"car\"\", \"\"area\"\"]\",19249\r\nART-7943494,Terri Trujillo,Eye picture talk media foot. Do within energy degree ask before. Mention kid third civil seat throug,Multi-tiered intermediate superstructure,2026-01-02T20:21:36.265337,Business,3519,\"[\"\"dream\"\", \"\"like\"\", \"\"to\"\", \"\"rise\"\", \"\"turn\"\"]\",13467\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2020\"\ntotal_revenue = 2665677\nunits_sold = 40417\n[[channels]]\nname = \"retail\"\nrevenue = 1595694\ngrowth = -2.61\n\n[[channels]]\nname = \"online\"\nrevenue = 1130127\ngrowth = 2.75\n\n[[top_products]]\nsku = \"SKU-3399\"\nsales = 106076\n\n[[top_products]]\nsku = \"SKU-5942\"\nsales = 279633\n\n[[top_products]]\nsku = \"SKU-6750\"\nsales = 238117\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Team hold course throw center open enjoy old. Huge candidate still act decade civil. Safe middle ind,,2026-01-03,98,,,,PROD-754494,5,REV-4235678,,,,,Help program law water necessary return clearly.,29638f7d-f697-4ae7-8fde-a1a70bcd6476,False\r\nelectronics,,USD,,,True,Horizontal global infrastructure,445.65,PROD-347551,2.38,,773,49x46x92cm,19.96,601,,,\r\nelectronics,,USD,,,True,Stand-alone 3rdgeneration success,681.89,PROD-911721,2.97,,562,24x48x96cm,22.35,714,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5704</course_id>\n<code>BXM405</code>\n<title>Profit-focused responsive throughput 101</title>\n<instructor>Emily Bryan</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>southern</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>raise</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>across</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>teacher</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>service</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>authority</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>second</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>authority</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-5704\",\n  \"code\": \"BXM405\",\n  \"title\": \"Profit-focused responsive throughput 101\",\n  \"instructor\": \"Emily Bryan\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"southern\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"raise\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"across\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"teacher\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"service\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"authority\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"second\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"authority\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-5160762\",\n  \"patient_mrn\": \"MRN-568012\",\n  \"prescriber\": \"Linda Gonzalez\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39452168</post_id>\n<platform>twitter</platform>\n<user_id>ca270bc8-d443-4389-880a-6fc8dd3e9fa5</user_id>\n<username>robertowens</username>\n<content>With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\nFactor even apply how three box light.</content>\n<timestamp>2026-01-07T13:51:25.425211</timestamp>\n<hashtags>#training</hashtags>\n<hashtags>#Democrat</hashtags>\n<hashtags>#pattern</hashtags>\n<hashtags>#discover</hashtags>\n<engagement>\n<likes>5319</likes>\n<shares>573</shares>\n<comments>283</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-883170\"\ntitle = \"Effect of raise on whatever\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 44.38\nendpoint = 67.27\np_value = 0.4662\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 76.3\nendpoint = 51.81\np_value = 0.221\n\n[methodology]\ndesign = \"observational\"\nsample_size = 694\nduration_days = 58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-948175</assessment_id>\n<student_id>STU-160858</student_id>\n<course_id>CRS-5368</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>96.29</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9342\"\ncode = \"BTJ202\"\ntitle = \"Mandatory fault-tolerant application 101\"\ninstructor = \"Nicole Cohen\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"ready\"\n\n[[schedule]]\nweek = 2\ntopic = \"happen\"\n\n[[schedule]]\nweek = 3\ntopic = \"American\"\n\n[[schedule]]\nweek = 4\ntopic = \"arm\"\n\n[[schedule]]\nweek = 5\ntopic = \"us\"\n\n[[schedule]]\nweek = 6\ntopic = \"home\"\n\n[[schedule]]\nweek = 7\ntopic = \"professional\"\n\n[[schedule]]\nweek = 8\ntopic = \"should\"\n\n[[schedule]]\nweek = 9\ntopic = \"nation\"\n\n[[schedule]]\nweek = 10\ntopic = \"fill\"\n\n[[schedule]]\nweek = 11\ntopic = \"physical\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nresult_id: LAB-5790382\npatient_mrn: MRN-357903\norder_date: '2026-01-02'\npanel: CBC\nresults:\n- test: Glucose\n  value: 56.1\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 114.1\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 154.7\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 196.1\n  unit: g/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id = \"LAB-5790382\"\npatient_mrn = \"MRN-357903\"\norder_date = \"2026-01-02\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 56.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 114.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 154.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 196.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-4513\",\n  \"code\": \"NEE477\",\n  \"title\": \"Exclusive bottom-line artificial intelligence 101\",\n  \"instructor\": \"Jaime Roman\",\n  \"credits\": 3,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"marriage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"wonder\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"system\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"order\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"very\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"laugh\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"sister\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"join\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"expect\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4513</course_id>\n<code>NEE477</code>\n<title>Exclusive bottom-line artificial intelligence 101</title>\n<instructor>Jaime Roman</instructor>\n<credits>3</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>marriage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>wonder</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>system</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>order</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>very</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>laugh</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>sister</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>join</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>expect</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19844803</post_id>\n<platform>instagram</platform>\n<user_id>eee48898-e428-4685-b6ea-d0074f4ffb8a</user_id>\n<username>pinedaryan</username>\n<content>Between past agree writer forget big. Simple glass protect job answer thank.\nGovernment prepare rather agency hard. Fear director room future hospital.</content>\n<timestamp>2026-01-07T13:51:25.753060</timestamp>\n<hashtags>#fast</hashtags>\n<hashtags>#imagine</hashtags>\n<hashtags>#carry</hashtags>\n<engagement>\n<likes>1299</likes>\n<shares>900</shares>\n<comments>90</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-19844803\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"eee48898-e428-4685-b6ea-d0074f4ffb8a\",\n  \"username\": \"pinedaryan\",\n  \"content\": \"Between past agree writer forget big. Simple glass protect job answer thank.\\nGovernment prepare rather agency hard. Fear director room future hospital.\",\n  \"timestamp\": \"2026-01-07T13:51:25.753060\",\n  \"hashtags\": [\n    \"#fast\",\n    \"#imagine\",\n    \"#carry\"\n  ],\n  \"engagement\": {\n    \"likes\": 1299,\n    \"shares\": 900,\n    \"comments\": 90\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"engagement\": {\n    \"likes\": 6676,\n    \"shares\": 196,\n    \"comments\": 84\n  },\n  \"username\": \"nicholasalvarez\",\n  \"post_id\": \"POST-61351209\",\n  \"hashtags\": [\n    \"#pretty\",\n    \"#admit\",\n    \"#available\"\n  ],\n  \"user_id\": \"5e546096-8461-4a3f-84e6-813e9e89a39c\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-921122,Spencer Smith,RX-5855932\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-883334,Thomas Paul,RX-9284349\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-483683,Nathan Church,RX-4075811\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\",MRN-890606,Susan Walker,RX-5664092\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-5855932\npatient_mrn: MRN-921122\nprescriber: Spencer Smith\ndate: '2026-01-05'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output experiment result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-561051\ntitle: Effect of general on debate\nmethodology:\n  design: observational\n  sample_size: 722\n  duration_days: 247\nresults:\n- metric: safety\n  baseline: 56.39\n  endpoint: 83.12\n  p_value: 0.0984\n- metric: efficacy\n  baseline: 50.64\n  endpoint: 62.61\n  p_value: 0.0109\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Hardy-Nguyen\",\n  \"ticker\": \"ZAMS\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 23201336,\n  \"expenses\": 30350118,\n  \"net_income\": 14673850,\n  \"eps\": 3.22,\n  \"metrics\": {\n    \"profit_margin\": 18.82,\n    \"roe\": 21.21\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Hardy-Nguyen</company>\n<ticker>ZAMS</ticker>\n<quarter>Q3 2024</quarter>\n<revenue>23201336</revenue>\n<expenses>30350118</expenses>\n<net_income>14673850</net_income>\n<eps>3.22</eps>\n<metrics>\n<profit_margin>18.82</profit_margin>\n<roe>21.21</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9017474\"\npatient_mrn = \"MRN-783803\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 65.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 160.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 142.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 179.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 97.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 148.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 174.6\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<order_date>2026-01-05</order_date>\n<results>\n<test>Hemoglobin</test>\n<value>95.5</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>52.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>142.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>146.5</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<panel>Lipid</panel>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"order_date\": \"2026-01-05\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 52.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 146.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ],\n  \"panel\": \"Lipid\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n9090a0a6-3421-4a93-9d6e-78b6a1f8fed7,\"[{\"\"sku\"\": \"\"SKU-33525\"\", \"\"qty\"\": 3, \"\"price\"\": 130.6}]\",apple_pay,793.41,85.16,2026-01-07T13:51:27.692524,1645.24,TXN-95106885\r\n0f5f44c7-a7ee-4771-9782-a0ce49d19d9d,\"[{\"\"sku\"\": \"\"SKU-71416\"\", \"\"qty\"\": 5, \"\"price\"\": 358.25}, {\"\"sku\"\": \"\"SKU-48401\"\", \"\"qty\"\": 5, \"\"price\"\": 347.62}]\",credit_card,1686.61,105.4,2026-01-07T13:51:27.693600,225.1,TXN-76158616\r\n60a95618-5223-4bb6-90f2-184da8bd2a94,\"[{\"\"sku\"\": \"\"SKU-51530\"\", \"\"qty\"\": 4, \"\"price\"\": 494.35}, {\"\"sku\"\": \"\"SKU-26339\"\", \"\"qty\"\": 1, \"\"price\"\": 48.67}]\",apple_pay,1281.1,158.59,2026-01-07T13:51:27.693673,1134.89,TXN-57676141\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-95106885\",\n  \"customer_id\": \"9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\",\n  \"timestamp\": \"2026-01-07T13:51:27.692524\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-33525\",\n      \"qty\": 3,\n      \"price\": 130.6\n    }\n  ],\n  \"subtotal\": 793.41,\n  \"tax\": 85.16,\n  \"total\": 1645.24,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWJP277,CRS-5980,3,40,30,30,Michael Reyes,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"capital\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"thousand\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"final\"\"}, {\",Fall 2023,Enterprise-wide real-time standardization 101\r\nTHE244,CRS-9595,3,40,30,30,Ashley Brown,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"agency\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"whose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"recent\"\"}, {\"\"we\",Fall 2023,Profound bandwidth-monitored time-frame 101\r\nVCU187,CRS-5569,4,40,30,30,Jessica Taylor,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bar\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"not\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"draw\"\"}, {\"\"week\"\": 4,\",Spring 2020,Ameliorated executive policy 101\r\nDLA426,CRS-6994,3,40,30,30,Miss Melissa Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"level\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"rate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"party\"\"}, {\"\"week\"\"\",Spring 2023,Face-to-face asynchronous encryption 101\r\nHAG398,CRS-1983,3,40,30,30,Jessica Williams,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"green\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ask\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"back\"\"}, {\"\"week\"\": \",Spring 2020,Future-proofed tertiary open architecture 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-5956795\npatient_mrn: MRN-953048\norder_date: '2026-01-05'\npanel: CBC\nresults:\n- test: Glucose\n  value: 138.6\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 69.4\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 89.7\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 191.9\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 169.5\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 187.7\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 120.0\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this TOML data into CSV format:\ncontract_id = \"CTR-274282\"\neffective_date = \"2026-01-01\"\nterm_months = 28\nvalue = 285721\nstatus = \"active\"\n[[parties]]\nname = \"Schroeder LLC\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Kemp-Jones\"\nrole = \"party_b\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-274282,2026-01-01,\"[{\"\"name\"\": \"\"Schroeder LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kemp-Jones\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,28,285721\r\nCTR-393552,2026-01-04,\"[{\"\"name\"\": \"\"Payne Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Larson and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,16,236218\r\nCTR-899450,2026-01-06,\"[{\"\"name\"\": \"\"Price Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Oconnell Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,54,772487\r\nCTR-220704,2026-01-02,\"[{\"\"name\"\": \"\"Perez-Floyd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Holmes, Singh and Schmitt\"\", \"\"role\"\": \"\"party_b\"\"\",pending,28,556896\r\nCTR-628948,2026-01-03,\"[{\"\"name\"\": \"\"Joseph LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Perkins, Bowen and Smith\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,24,108661\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"article_id\": \"ART-3281345\",\n  \"headline\": \"Streamlined object-oriented toolset\",\n  \"author\": \"James Dunn\",\n  \"published\": \"2026-01-03T08:23:33.060508\",\n  \"section\": \"Politics\",\n  \"content\": \"Win take among professor. Glass reflect black similar future. Risk than tree.\\nEconomic sit plan. Available then already skill up reason back. Course his threat growth physical parent truth.\\nLaugh article pull goal. Believe those few.\",\n  \"tags\": [\n    \"hit\",\n    \"summer\",\n    \"official\",\n    \"rather\"\n  ],\n  \"views\": 75669,\n  \"shares\": 293\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3281345</article_id>\n<headline>Streamlined object-oriented toolset</headline>\n<author>James Dunn</author>\n<published>2026-01-03T08:23:33.060508</published>\n<section>Politics</section>\n<content>Win take among professor. Glass reflect black similar future. Risk than tree.\nEconomic sit plan. Available then already skill up reason back. Course his threat growth physical parent truth.\nLaugh article pull goal. Believe those few.</content>\n<tags>hit</tags>\n<tags>summer</tags>\n<tags>official</tags>\n<tags>rather</tags>\n<views>75669</views>\n<shares>293</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-23186111\"\nplatform = \"twitter\"\nuser_id = \"85951ac5-a9b8-4154-8edc-693bcde245cf\"\nusername = \"srodriguez\"\ncontent = \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\"\ntimestamp = \"2026-01-07T13:51:25.750515\"\nhashtags = [ \"#community\", \"#whatever\",]\n\n[engagement]\nlikes = 4745\nshares = 251\ncomments = 51\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-393268\"\ntitle = \"Effect of themselves on time\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 34.76\nendpoint = 73.98\np_value = 0.4055\n\n[[results]]\nmetric = \"safety\"\nbaseline = 70.26\nendpoint = 84.17\np_value = 0.253\n\n[[results]]\nmetric = \"safety\"\nbaseline = 22.1\nendpoint = 56.91\np_value = 0.1172\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 237\nduration_days = 116\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-53638241\nplatform: twitter\nuser_id: b721c855-7360-4fb2-bb63-d55e568d6dfb\nusername: wilsonmark\ncontent: 'Last power trade or hard man. Century though fear somebody thank.\n\n  Particularly film next out letter public. Remain put response worry man industry\n  wish. Whom treatment professional future.'\ntimestamp: '2026-01-06T09:43:31.863821'\nhashtags:\n- '#little'\n- '#different'\n- '#benefit'\n- '#represent'\nengagement:\n  likes: 530\n  shares: 304\n  comments: 475\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-871992\"\nstudent_id = \"STU-916232\"\ncourse_id = \"CRS-5865\"\ntype = \"quiz\"\ndate = \"2026-01-05\"\ntotal_score = 83\npercentage = 70.57\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-3022361\npatient_mrn: MRN-726192\nprescriber: Jessica Warner\ndate: '2026-01-02'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-6204\",\n  \"code\": \"WOR378\",\n  \"title\": \"Multi-channeled bi-directional implementation 101\",\n  \"instructor\": \"Charlene Houston\",\n  \"credits\": 4,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"under\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"good\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"grow\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"experience\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"offer\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"account\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6204</course_id>\n<code>WOR378</code>\n<title>Multi-channeled bi-directional implementation 101</title>\n<instructor>Charlene Houston</instructor>\n<credits>4</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>under</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>good</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>grow</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>experience</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>offer</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>account</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-690622\"\ntitle = \"Effect of drug on effect\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 65.65\nendpoint = 47.19\np_value = 0.4009\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 18.88\nendpoint = 49.79\np_value = 0.0184\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 32.37\nendpoint = 97.44\np_value = 0.3919\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 718\nduration_days = 247\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<specs>\n<weight_kg>8.02</weight_kg>\n<dimensions>62x22x22cm</dimensions>\n</specs>\n<name>Universal fault-tolerant service-desk</name>\n<price>907.33</price>\n<reviews>493</reviews>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"specs\": {\n    \"weight_kg\": 8.02,\n    \"dimensions\": \"62x22x22cm\"\n  },\n  \"name\": \"Universal fault-tolerant service-desk\",\n  \"price\": 907.33,\n  \"reviews\": 493\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need research paper details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Home unit sea lead.\nWide interview thank prevent drug company share. Be save protect factor wrong li\",\"[{\"\"name\"\": \"\"Thomas Brown\"\", \"\"affiliation\"\": \"\"Ramos PLC\"\", \"\"email\"\": \"\"betty71@example.org\"\"}, {\"\"name\"\": \"\"Ama\",487,Wilson-Miller,\"[\"\"trouble\"\", \"\"page\"\", \"\"marriage\"\", \"\"city\"\", \"\"professor\"\"]\",arXiv:2021.73595,10.8822/zXsG,Science,2022,De-engineered user-facing ability\r\n\"Pressure already age house concern.\nValue recent green report check feeling. Discussion south live m\",\"[{\"\"name\"\": \"\"Jenna Sanders\"\", \"\"affiliation\"\": \"\"Allen, Marquez and Petersen\"\", \"\"email\"\": \"\"breanna98@example\",313,None,\"[\"\"question\"\", \"\"catch\"\", \"\"special\"\", \"\"character\"\", \"\"so\"\"]\",arXiv:2023.65819,10.7039/PhSy,Nature,2022,Cross-platform eco-centric projection\r\nEducation security agent management. Return mention important little modern much cost.,\"[{\"\"name\"\": \"\"Betty Medina\"\", \"\"affiliation\"\": \"\"Knight, Wilson and Hale\"\", \"\"email\"\": \"\"matthew33@example.org\"\"\",225,Dixon and Sons,\"[\"\"suggest\"\", \"\"watch\"\", \"\"stay\"\", \"\"bar\"\", \"\"before\"\"]\",arXiv:2022.57834,10.3235/XLgK,Cell,2024,Realigned impactful encoding\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Seamless optimal task-force,975.8,PROD-831490,2.71,121,52x27x46cm,17.77,924\r\nbooks,USD,True,Multi-tiered 3rdgeneration moderator,891.91,PROD-947142,2.08,340,70x36x54cm,29.77,598\r\nclothing,USD,True,Decentralized foreground model,869.65,PROD-350123,3.01,559,16x68x66cm,39.07,657\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Distributed high-level website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</next>\n<get>\n<summary>Movie my movie common adult.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//next>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Distributed high-level website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/next\": {\n      \"get\": {\n        \"summary\": \"Movie my movie common adult.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need error log details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 11bae775-9aa7-4b0a-8088-801c0a1d28a8\ntimestamp: '2026-01-06T09:43:32.241523'\nlevel: ERROR\nservice: militaryService\nmessage: Day pull question.\nstack_trace:\n- at somebody.py:37\n- at middle.py:494\ncontext:\n  user_id: 1898c440-5c1c-4b6e-b958-d10d95c79ab8\n  request_id: e7ec8e91-0af0-4b08-b469-32f8dbbebf17\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,author,authors,citations,funding_source,headline,keywords,paper_id,publication_doi,publication_venue,publication_year,shares,title\r\n,Elizabeth Jefferson,,,,Mandatory grid-enabled matrices,,,,,,1936,\r\nMilitary skill memory course which air interesting. With account professor beat agree agent.,,\"[{\"\"name\"\": \"\"Phyllis Vargas\"\", \"\"affiliation\"\": \"\"Rowland, Garza and Lucas\"\", \"\"email\"\": \"\"hodgesgary@example.\",359,None,,\"[\"\"tend\"\", \"\"environmental\"\", \"\"PM\"\", \"\"American\"\", \"\"statement\"\"]\",arXiv:2022.28185,10.6410/FXnL,Cell,2020,,Expanded background intranet\r\n\"Later west likely customer. Reality place pull expect matter evening.\nRaise recent drop guess cold.\",,\"[{\"\"name\"\": \"\"Ashlee Montoya\"\", \"\"affiliation\"\": \"\"Forbes-Wade\"\", \"\"email\"\": \"\"jenniferaguilar@example.net\"\"}, {\",382,None,,\"[\"\"agency\"\", \"\"so\"\", \"\"describe\"\", \"\"smile\"\", \"\"only\"\"]\",arXiv:2021.47951,10.4008/rvTg,Cell,2022,,Total background superstructure\r\nFirst sense last either. Fire rule sister bag. Subject class represent black. Realize star positive ,,\"[{\"\"name\"\": \"\"Willie Cordova\"\", \"\"affiliation\"\": \"\"Hopkins-Ramos\"\", \"\"email\"\": \"\"sarah04@example.com\"\"}, {\"\"name\"\"\",438,None,,\"[\"\"machine\"\", \"\"imagine\"\", \"\"north\"\"]\",arXiv:2023.10807,10.4588/Uvud,Science,2021,,Polarized object-oriented contingency\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-31892506\ncustomer_id: 6c5d6d8e-2901-438d-be6d-be57a13ea5ab\ntimestamp: '2026-01-07T13:51:25.485684'\nitems:\n- sku: SKU-80058\n  qty: 4\n  price: 142.37\n- sku: SKU-53232\n  qty: 1\n  price: 151.54\nsubtotal: 692.94\ntax: 100.91\ntotal: 1647.14\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-3102\nstudent_id: STU-609423\nscores:\n- question: 1\n  points_earned: 4\n  points_possible: 10\n- question: 2\n  points_earned: 7\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 9\n  points_possible: 10\n- question: 5\n  points_earned: 9\n  points_possible: 10\n- question: 6\n  points_earned: 7\n  points_possible: 10\n- question: 7\n  points_earned: 7\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 2\n  points_possible: 10\n- question: 10\n  points_earned: 6\n  points_possible: 10\n- question: 11\n  points_earned: 6\n  points_possible: 10\n- question: 12\n  points_earned: 4\n  points_possible: 10\n- question: 13\n  points_earned: 0\n  points_possible: 10\ndate: '2026-01-05'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-313579,2026-01-01,\"[{\"\"name\"\": \"\"Roberts, Newton and Ortiz\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Garcia PLC\"\", \"\"role\"\": \"\"party_b\"\"}\",active,55,108642\r\nCTR-876127,2026-01-05,\"[{\"\"name\"\": \"\"Nicholson-Blair\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson, Allen and Wright\"\", \"\"role\"\": \"\"part\",pending,58,88306\r\nCTR-535561,2026-01-02,\"[{\"\"name\"\": \"\"Ruiz Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Pham, Alvarez and Lee\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,58,713251\r\nCTR-551639,2026-01-04,\"[{\"\"name\"\": \"\"Taylor-Taylor\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Russell Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,31,93830\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-168652\",\n  \"title\": \"Effect of green on from\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 797,\n    \"duration_days\": 186\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 24.16,\n      \"endpoint\": 44.82,\n      \"p_value\": 0.0559\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 16.54,\n      \"endpoint\": 28.48,\n      \"p_value\": 0.2997\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"product_id\": \"PROD-110536\",\n  \"name\": \"Organized didactic parallelism\",\n  \"category\": \"clothing\",\n  \"price\": 68.12,\n  \"currency\": \"USD\",\n  \"stock\": 153,\n  \"is_available\": true,\n  \"rating\": 1.45,\n  \"reviews\": 277,\n  \"specs\": {\n    \"weight_kg\": 1.85,\n    \"dimensions\": \"33x70x14cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-110536\"\nname = \"Organized didactic parallelism\"\ncategory = \"clothing\"\nprice = 68.12\ncurrency = \"USD\"\nstock = 153\nis_available = true\nrating = 1.45\nreviews = 277\n\n[specs]\nweight_kg = 1.85\ndimensions = \"33x70x14cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-464030,2026-01-06,\"[{\"\"name\"\": \"\"Morales, Williams and Williams\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ward-Miller\"\", \"\"role\"\": \"\"par\",active,35,994957\r\nCTR-791307,2026-01-05,\"[{\"\"name\"\": \"\"Taylor, Cole and Curry\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Peters Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,42,692332\r\nCTR-206272,2026-01-05,\"[{\"\"name\"\": \"\"Maynard-Wilson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Nguyen Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,59,603025\r\nCTR-524212,2026-01-04,\"[{\"\"name\"\": \"\"Perry-Proctor\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Peters, Shannon and Cherry\"\", \"\"role\"\": \"\"party\",executed,60,175595\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?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", "content": "Approach:\n1. Task: Convert news article from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-3682408\",\n  \"headline\": \"Decentralized stable neural-net\",\n  \"author\": \"Thomas Acevedo\",\n  \"published\": \"2026-01-01T11:30:40.673887\",\n  \"section\": \"Business\",\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.\",\n  \"tags\": [\n    \"movie\",\n    \"it\",\n    \"chance\"\n  ],\n  \"views\": 12438,\n  \"shares\": 1329\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-370819,2026-01-01,\"[{\"\"name\"\": \"\"Stewart, Thompson and Rogers\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jackson, Griffin and Flowers\",active,13,109351\r\nCTR-778899,2026-01-01,\"[{\"\"name\"\": \"\"Davis-Chavez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,19,372198\r\nCTR-784768,2026-01-01,\"[{\"\"name\"\": \"\"Davis-Huynh\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Swanson, Brown and Fry\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,44,94687\r\nCTR-637250,2026-01-05,\"[{\"\"name\"\": \"\"Gilbert-Sutton\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mcmahon, Wilson and Gill\"\", \"\"role\"\": \"\"party_\",active,53,948767\r\nCTR-372607,2026-01-06,\"[{\"\"name\"\": \"\"Stewart Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"King Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,58,20065\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output prescription as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9346457\",\n  \"patient_mrn\": \"MRN-685856\",\n  \"prescriber\": \"Thomas Archer\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate customer review data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9701957</review_id>\n<product_id>PROD-683988</product_id>\n<user_id>4d7f9754-e296-4a29-967f-5c8de166a17c</user_id>\n<rating>5</rating>\n<title>Teach look history according want manager perform.</title>\n<content>Admit large politics decide might Mr their. Hundred play I deal but player leader old. Then similar drug coach.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>36</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-274282\",\n  \"parties\": [\n    {\n      \"name\": \"Schroeder LLC\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Kemp-Jones\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 28,\n  \"value\": 285721,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-225267\nname: Inverse regional Internet solution\ncategory: electronics\nprice: 434.39\ncurrency: USD\nstock: 825\nis_available: true\nrating: 2.18\nreviews: 635\nspecs:\n  weight_kg: 14.56\n  dimensions: 91x19x67cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this TOML data into CSV format:\narticle_id = \"ART-1748125\"\nheadline = \"Customizable leadingedge structure\"\nauthor = \"Sandra Bennett\"\npublished = \"2026-01-03T22:52:42.741679\"\nsection = \"Sports\"\ncontent = \"Majority meeting sound have week public pass. Major food relate spend seven.\\nIndeed run fund.\\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.\"\ntags = [ \"subject\", \"attention\", \"class\", \"campaign\", \"second\",]\nviews = 63827\nshares = 2505\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1748125,Sandra Bennett,\"Majority meeting sound have week public pass. Major food relate spend seven.\nIndeed run fund.\nFedera\",Customizable leadingedge structure,2026-01-03T22:52:42.741679,Sports,2505,\"[\"\"subject\"\", \"\"attention\"\", \"\"class\"\", \"\"campaign\"\", \"\"second\"\"]\",63827\r\nART-9010589,Anthony Pearson,\"Child buy data yourself draw. Indeed check street special take bit.\nWait daughter attack back histor\",Decentralized optimizing parallelism,2026-01-05T22:11:54.090915,Politics,1523,\"[\"\"different\"\", \"\"shoulder\"\", \"\"member\"\", \"\"of\"\", \"\"short\"\"]\",18330\r\nART-8387787,Angel Spencer,\"See remember find.\nAmong other tonight party. Reveal business environment company responsibility. In\",Multi-tiered value-added Internet solution,2026-01-05T20:24:55.532165,Sports,1003,\"[\"\"protect\"\", \"\"world\"\", \"\"manage\"\", \"\"all\"\"]\",27833\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5490961</result_id>\n<patient_mrn>MRN-709917</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>146.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>73.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>166.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>98.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-709917,LAB-5490961,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 146.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-01,Lipid,MRN-784519,LAB-7365113,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 128.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 138\"\r\n2026-01-02,Lipid,MRN-900856,LAB-7497135,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 166.\"\r\n2026-01-03,Lipid,MRN-244900,LAB-9124295,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 70.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-05,CMP,MRN-120813,LAB-9197518,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 190.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-549878</assessment_id>\n<student_id>STU-264168</student_id>\n<course_id>CRS-6692</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>70</total_score>\n<percentage>54.38</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnet_income = 4233102\ncompany = \"Blackwell, Simpson and Pace\"\neps = 0.79\nexpenses = 41343491\n\n[metrics]\nprofit_margin = 14.29\nroe = 18.28\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-33796851</post_id>\n<platform>instagram</platform>\n<user_id>aa32cdd3-72c6-4e38-bd5e-ff3918321d73</user_id>\n<username>qtownsend</username>\n<content>List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.</content>\n<timestamp>2026-01-07T13:51:26.038556</timestamp>\n<hashtags>#study</hashtags>\n<hashtags>#able</hashtags>\n<hashtags>#week</hashtags>\n<engagement>\n<likes>3006</likes>\n<shares>53</shares>\n<comments>61</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-33796851\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"aa32cdd3-72c6-4e38-bd5e-ff3918321d73\",\n  \"username\": \"qtownsend\",\n  \"content\": \"List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.\",\n  \"timestamp\": \"2026-01-07T13:51:26.038556\",\n  \"hashtags\": [\n    \"#study\",\n    \"#able\",\n    \"#week\"\n  ],\n  \"engagement\": {\n    \"likes\": 3006,\n    \"shares\": 53,\n    \"comments\": 61\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.73738\",\n  \"title\": \"Switchable maximized Local Area Network\",\n  \"authors\": [\n    {\n      \"name\": \"Heather Lee\",\n      \"affiliation\": \"Garcia, Ellison and Kim\",\n      \"email\": \"kimberlysimpson@example.com\"\n    },\n    {\n      \"name\": \"Jeremy Gonzalez\",\n      \"affiliation\": \"Wilson, Sanchez and Copeland\",\n      \"email\": \"michelle83@example.com\"\n    },\n    {\n      \"name\": \"Brianna Hart\",\n      \"affiliation\": \"Shannon, Tran and Taylor\",\n      \"email\": \"penatyler@example.net\"\n    }\n  ],\n  \"abstract\": \"List son shake understand food. Up no police friend factor. Support company yes push argue.\",\n  \"keywords\": [\n    \"fact\",\n    \"guess\",\n    \"truth\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.7028/ttmb\"\n  },\n  \"citations\": 36,\n  \"funding_source\": \"Guerra, Richards and Schaefer\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output api specification as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</sense>\n<get>\n<summary>Pay yes agree executive year ahead program.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sense>\n</paths>\n<info>\n<title>Customer-focused zero-defect array API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2022\ntotal_revenue: 7500818\nunits_sold: 73950\nchannels:\n- name: retail\n  revenue: 528123\n  growth: 12.05\n- name: online\n  revenue: 1160273\n  growth: 23.93\ntop_products:\n- sku: SKU-6153\n  sales: 328911\n- sku: SKU-4483\n  sales: 21251\n- sku: SKU-5114\n  sales: 21486\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"8ef553f5-74fa-47eb-bfcb-571b6fa73c35\",\n  \"timestamp\": \"2026-01-07T13:51:27.105544\",\n  \"level\": \"WARNING\",\n  \"service\": \"radioService\",\n  \"message\": \"Professional pull soon.\",\n  \"stack_trace\": [\n    \"at eye.py:220\",\n    \"at short.py:148\",\n    \"at the.py:448\"\n  ],\n  \"context\": {\n    \"user_id\": \"162209b9-e3ae-4c7a-af39-f96af44cdcaa\",\n    \"request_id\": \"a05e806a-f592-4611-8d80-dbe2773bec40\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8ef553f5-74fa-47eb-bfcb-571b6fa73c35</error_id>\n<timestamp>2026-01-07T13:51:27.105544</timestamp>\n<level>WARNING</level>\n<service>radioService</service>\n<message>Professional pull soon.</message>\n<stack_trace>at eye.py:220</stack_trace>\n<stack_trace>at short.py:148</stack_trace>\n<stack_trace>at the.py:448</stack_trace>\n<context>\n<user_id>162209b9-e3ae-4c7a-af39-f96af44cdcaa</user_id>\n<request_id>a05e806a-f592-4611-8d80-dbe2773bec40</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-2650245\nheadline: Enhanced multimedia hub\nauthor: Jennifer Davis\npublished: '2026-01-02T17:44:08.333575'\nsection: Tech\ncontent: 'Late situation both data share market. These foot health box.\n\n  Pay me together western ever story cup. Game production million happy reveal. Attorney\n  bill shake crime eat finally drive.\n\n  Choice four concern cold test. Road executive policy official season increase.'\ntags:\n- future\n- here\n- new\nviews: 46115\nshares: 2819\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nfunding_source = \"Kramer Ltd\"\ntitle = \"Configurable bandwidth-monitored strategy\"\n[[authors]]\nname = \"James Brown\"\naffiliation = \"Ward-Davidson\"\nemail = \"wilsonkristin@example.org\"\n\n[[authors]]\nname = \"Luke Liu\"\naffiliation = \"Obrien-Huynh\"\nemail = \"jason08@example.org\"\n\n[[authors]]\nname = \"Paula Gonzalez\"\naffiliation = \"Jones-Howell\"\nemail = \"brent41@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.3653/hXNF\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npublication:\n  venue: Cell\n  year: 2021\n  doi: 10.3653/hXNF\nfunding_source: Kramer Ltd\ntitle: Configurable bandwidth-monitored strategy\nauthors:\n- name: James Brown\n  affiliation: Ward-Davidson\n  email: wilsonkristin@example.org\n- name: Luke Liu\n  affiliation: Obrien-Huynh\n  email: jason08@example.org\n- name: Paula Gonzalez\n  affiliation: Jones-Howell\n  email: brent41@example.org\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-613322</assessment_id>\n<student_id>STU-814570</student_id>\n<course_id>CRS-3548</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>64</total_score>\n<percentage>69.35</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-613322\",\n  \"student_id\": \"STU-814570\",\n  \"course_id\": \"CRS-3548\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 64,\n  \"percentage\": 69.35,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-3508494\",\n  \"patient\": {\n    \"mrn\": \"MRN-721804\",\n    \"age\": 51,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"130/109\",\n    \"hr\": 78,\n    \"temp_f\": 100.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K96\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K86\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3508494</note_id>\n<patient>\n<mrn>MRN-721804</mrn>\n<age>51</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>130/109</bp>\n<hr>78</hr>\n<temp_f>100.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K96</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K86</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Becker-Martinez\nticker: QZXR\nquarter: Q4 2021\nrevenue: 48919598\nexpenses: 50274851\nnet_income: 7284021\neps: 2.39\nmetrics:\n  profit_margin: 17.0\n  roe: 10.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"error_id\": \"e78ff1cc-d984-499d-9fcf-126ccada9355\",\n  \"timestamp\": \"2026-01-07T13:51:26.607679\",\n  \"level\": \"WARNING\",\n  \"service\": \"generationService\",\n  \"message\": \"Bag difference growth have leader yeah him.\",\n  \"stack_trace\": [\n    \"at teach.py:30\",\n    \"at poor.py:409\"\n  ],\n  \"context\": {\n    \"user_id\": \"e8daac99-0bad-4fb0-ae26-78525528db85\",\n    \"request_id\": \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"e78ff1cc-d984-499d-9fcf-126ccada9355\"\ntimestamp = \"2026-01-07T13:51:26.607679\"\nlevel = \"WARNING\"\nservice = \"generationService\"\nmessage = \"Bag difference growth have leader yeah him.\"\nstack_trace = [ \"at teach.py:30\", \"at poor.py:409\",]\n\n[context]\nuser_id = \"e8daac99-0bad-4fb0-ae26-78525528db85\"\nrequest_id = \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Scott-Campbell\nticker: SZQB\nquarter: Q2 2021\nrevenue: 15063505\nexpenses: 40738667\nnet_income: 16626814\neps: 6.47\nmetrics:\n  profit_margin: 15.92\n  roe: 8.35\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-5754690\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K80\"\n\n[patient]\nmrn = \"MRN-521303\"\nage = 32\ngender = \"M\"\n\n[vitals]\nbp = \"101/104\"\nhr = 85\ntemp_f = 99.3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\ncourse_id: CRS-8422\ncode: OMY437\ntitle: Optimized upward-trending conglomeration 101\ninstructor: Rodney Anderson\ncredits: 3\nterm: Spring 2023\nschedule:\n- week: 1\n  topic: answer\n- week: 2\n  topic: best\n- week: 3\n  topic: meet\n- week: 4\n  topic: simple\n- week: 5\n  topic: peace\n- week: 6\n  topic: upon\n- week: 7\n  topic: power\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-8422\",\n  \"code\": \"OMY437\",\n  \"title\": \"Optimized upward-trending conglomeration 101\",\n  \"instructor\": \"Rodney Anderson\",\n  \"credits\": 3,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"answer\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"best\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"simple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"peace\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"upon\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"power\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"September 2024\"\ntotal_revenue = 6726526\nunits_sold = 45392\n[[channels]]\nname = \"retail\"\nrevenue = 2051641\ngrowth = 15.93\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4340607\ngrowth = -6.59\n\n[[top_products]]\nsku = \"SKU-7798\"\nsales = 367269\n\n[[top_products]]\nsku = \"SKU-2105\"\nsales = 291023\n\n[[top_products]]\nsku = \"SKU-5730\"\nsales = 275348\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nproduct_id: PROD-842353\nname: Synergistic bottom-line conglomeration\ncategory: books\nprice: 609.49\ncurrency: USD\nstock: 399\nis_available: true\nrating: 1.05\nreviews: 570\nspecs:\n  weight_kg: 25.04\n  dimensions: 30x19x82cm\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Synergistic bottom-line conglomeration,609.49,PROD-842353,1.05,570,30x19x82cm,25.04,399\r\nbooks,USD,True,Streamlined even-keeled support,550.44,PROD-248653,4.03,512,27x88x63cm,12.76,898\r\nelectronics,USD,True,User-centric explicit capacity,460.36,PROD-502929,1.34,122,94x22x84cm,46.39,564\r\nbooks,USD,True,Robust multimedia Graphic Interface,267.69,PROD-103100,4.94,360,14x29x27cm,3.82,398\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need sales analytics details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"August 2020\"\ntotal_revenue = 9799832\nunits_sold = 54253\n[[channels]]\nname = \"wholesale\"\nrevenue = 226075\ngrowth = 3.5\n\n[[channels]]\nname = \"online\"\nrevenue = 1858290\ngrowth = 15.24\n\n[[top_products]]\nsku = \"SKU-7743\"\nsales = 130747\n\n[[top_products]]\nsku = \"SKU-8561\"\nsales = 65081\n\n[[top_products]]\nsku = \"SKU-1622\"\nsales = 149382\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: September 2024\ntotal_revenue: 6726526\nunits_sold: 45392\nchannels:\n- name: retail\n  revenue: 2051641\n  growth: 15.93\n- name: wholesale\n  revenue: 4340607\n  growth: -6.59\ntop_products:\n- sku: SKU-7798\n  sales: 367269\n- sku: SKU-2105\n  sales: 291023\n- sku: SKU-5730\n  sales: 275348\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<subtotal>1655.93</subtotal>\n<items>\n<sku>SKU-62708</sku>\n<qty>3</qty>\n<price>121.39</price>\n</items>\n<tax>19.12</tax>\n<total>1424.63</total>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"subtotal\": 1655.93,\n  \"items\": [\n    {\n      \"sku\": \"SKU-62708\",\n      \"qty\": 3,\n      \"price\": 121.39\n    }\n  ],\n  \"tax\": 19.12,\n  \"total\": 1424.63\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-921122,Spencer Smith,RX-5855932\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-743105,Christina Thomas,RX-9806355\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopr\",MRN-381483,Dustin Tran,RX-3277618\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-282228,Lindsey Morgan,RX-9495167\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-681840,James Rodriguez,RX-7729987\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-20904368</txn_id>\n<customer_id>3fe35528-f72a-4e45-bcf8-f7cb059fe7e5</customer_id>\n<timestamp>2026-01-07T13:51:27.778783</timestamp>\n<items>\n<sku>SKU-59380</sku>\n<qty>2</qty>\n<price>447.63</price>\n</items>\n<items>\n<sku>SKU-56357</sku>\n<qty>4</qty>\n<price>130.56</price>\n</items>\n<items>\n<sku>SKU-96740</sku>\n<qty>2</qty>\n<price>230.78</price>\n</items>\n<items>\n<sku>SKU-55928</sku>\n<qty>1</qty>\n<price>169.07</price>\n</items>\n<subtotal>1853.52</subtotal>\n<tax>74.51</tax>\n<total>1419.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>91d16731-5e7b-4a47-8285-7a54d79d3b76</error_id>\n<timestamp>2026-01-07T13:51:25.635487</timestamp>\n<level>WARNING</level>\n<service>AmericanService</service>\n<message>Drug sell certainly major total.</message>\n<stack_trace>at although.py:151</stack_trace>\n<stack_trace>at mission.py:443</stack_trace>\n<context>\n<user_id>11d85442-7276-4e30-9249-06df8089bd39</user_id>\n<request_id>f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-94493547\"\nplatform = \"instagram\"\nuser_id = \"ebddd714-2a63-4fd6-985c-fb7fe32db0b4\"\nusername = \"laura52\"\ncontent = \"Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\\nWhat ok that look past. Budget understand mouth during brother pull type spring.\"\ntimestamp = \"2026-01-07T13:51:27.134920\"\nhashtags = [ \"#red\", \"#hotel\", \"#create\",]\n\n[engagement]\nlikes = 8599\nshares = 93\ncomments = 39\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nerror_id: 2a52fc1b-775b-4f0d-9bad-8f4f44e2d81f\ntimestamp: '2026-01-07T13:51:25.611338'\nlevel: ERROR\nservice: typeService\nmessage: Suggest involve part skill write left participant.\nstack_trace:\n- at risk.py:441\n- at strategy.py:390\n- at performance.py:267\n- at kind.py:265\ncontext:\n  user_id: 3651fff2-dc6a-4fe5-a964-ed26913f3e4b\n  request_id: f4fc48f0-6374-4e80-b666-89c2abac0904\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from YAML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Tucker and Sons\nticker: BPQE\nquarter: Q4 2024\nrevenue: 70279854\nexpenses: 61737533\nnet_income: 12235621\neps: 3.52\nmetrics:\n  profit_margin: 24.27\n  roe: 16.15\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nWin both purpose hour professor table.,\"[{\"\"name\"\": \"\"Gary Johnson\"\", \"\"affiliation\"\": \"\"Wolf Group\"\", \"\"email\"\": \"\"jamie40@example.org\"\"}, {\"\"name\"\": \"\"Li\",258,\"Espinoza, Khan and Lowe\",\"[\"\"office\"\", \"\"during\"\", \"\"more\"\", \"\"apply\"\", \"\"program\"\"]\",arXiv:2022.79764,10.1780/NyHo,Nature,2023,Progressive exuding adapter\r\nSeveral oil hotel structure Democrat. Evidence able majority group piece. Rate election probably man,\"[{\"\"name\"\": \"\"Johnny Perry\"\", \"\"affiliation\"\": \"\"Christensen, Frederick and Robinson\"\", \"\"email\"\": \"\"meghan41@e\",369,\"Randall, Williams and Mcfarland\",\"[\"\"price\"\", \"\"trip\"\", \"\"at\"\"]\",arXiv:2023.96163,10.3589/MUjC,Cell,2022,Cloned methodical encryption\r\nRecognize region people million. Simple option edge responsibility share involve.,\"[{\"\"name\"\": \"\"Ann Juarez\"\", \"\"affiliation\"\": \"\"Anderson PLC\"\", \"\"email\"\": \"\"swilliams@example.com\"\"}, {\"\"name\"\": \"\"\",377,None,\"[\"\"stay\"\", \"\"tax\"\", \"\"surface\"\"]\",arXiv:2024.29086,10.9771/TUZf,Cell,2021,Progressive needs-based knowledgebase\r\nWish point network head put political less. Government say summer image.,\"[{\"\"name\"\": \"\"Jeremy Haynes\"\", \"\"affiliation\"\": \"\"Gibson-King\"\", \"\"email\"\": \"\"pkelly@example.net\"\"}, {\"\"name\"\": \"\"K\",118,None,\"[\"\"there\"\", \"\"first\"\", \"\"deal\"\", \"\"spend\"\"]\",arXiv:2022.77669,10.4828/YrKq,Cell,2023,Progressive grid-enabled support\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Sharable solution-oriented migration API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</anything>\n<get>\n<summary>Those all evidence respond she listen.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//anything>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-32645861</post_id>\n<platform>facebook</platform>\n<user_id>b5521d05-1410-43ee-b828-2c240f95461c</user_id>\n<username>yanderson</username>\n<content>Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.</content>\n<timestamp>2026-01-07T13:51:27.526455</timestamp>\n<hashtags>#door</hashtags>\n<hashtags>#relate</hashtags>\n<engagement>\n<likes>5828</likes>\n<shares>957</shares>\n<comments>117</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-32645861\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b5521d05-1410-43ee-b828-2c240f95461c\",\n  \"username\": \"yanderson\",\n  \"content\": \"Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.\",\n  \"timestamp\": \"2026-01-07T13:51:27.526455\",\n  \"hashtags\": [\n    \"#door\",\n    \"#relate\"\n  ],\n  \"engagement\": {\n    \"likes\": 5828,\n    \"shares\": 957,\n    \"comments\": 117\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate experiment result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-942720\",\n  \"title\": \"Effect of edge on when\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 645,\n    \"duration_days\": 54\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 79.64,\n      \"endpoint\": 26.86,\n      \"p_value\": 0.2863\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 55.57,\n      \"endpoint\": 59.78,\n      \"p_value\": 0.1705\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 30.69,\n      \"endpoint\": 27.4,\n      \"p_value\": 0.1116\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.07,\n      \"endpoint\": 35.79,\n      \"p_value\": 0.1946\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-883806\"\ntitle = \"Effect of there on wife\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 15.64\nendpoint = 83.3\np_value = 0.4248\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 36.36\nendpoint = 63.05\np_value = 0.0775\n\n[methodology]\ndesign = \"observational\"\nsample_size = 200\nduration_days = 32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2020\"\ntotal_revenue = 5282300\nunits_sold = 56631\n[[channels]]\nname = \"wholesale\"\nrevenue = 1510056\ngrowth = 40.71\n\n[[channels]]\nname = \"online\"\nrevenue = 879100\ngrowth = 31.7\n\n[[top_products]]\nsku = \"SKU-3896\"\nsales = 467821\n\n[[top_products]]\nsku = \"SKU-7117\"\nsales = 58747\n\n[[top_products]]\nsku = \"SKU-4250\"\nsales = 241231\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need prescription details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-6683434\npatient_mrn: MRN-920362\nprescriber: Gabriel Johnson\ndate: '2026-01-01'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-69367106\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"7643b70d-1c60-436f-974e-7bc6cee5e032\",\n  \"username\": \"gordonalexander\",\n  \"content\": \"See personal couple road president most next. Laugh teach lawyer character work present.\\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.\",\n  \"timestamp\": \"2026-01-07T13:51:25.991400\",\n  \"hashtags\": [\n    \"#PM\",\n    \"#stage\",\n    \"#government\"\n  ],\n  \"engagement\": {\n    \"likes\": 1911,\n    \"shares\": 761,\n    \"comments\": 62\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-69367106</post_id>\n<platform>twitter</platform>\n<user_id>7643b70d-1c60-436f-974e-7bc6cee5e032</user_id>\n<username>gordonalexander</username>\n<content>See personal couple road president most next. Laugh teach lawyer character work present.\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.</content>\n<timestamp>2026-01-07T13:51:25.991400</timestamp>\n<hashtags>#PM</hashtags>\n<hashtags>#stage</hashtags>\n<hashtags>#government</hashtags>\n<engagement>\n<likes>1911</likes>\n<shares>761</shares>\n<comments>62</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-1565761\"\npatient_mrn = \"MRN-226686\"\nprescriber = \"Regina Martin\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-4441974\",\n  \"patient\": {\n    \"mrn\": \"MRN-925906\",\n    \"age\": 60,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"154/95\",\n    \"hr\": 108,\n    \"temp_f\": 97.8\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I21\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K16\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4441974</note_id>\n<patient>\n<mrn>MRN-925906</mrn>\n<age>60</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>154/95</bp>\n<hr>108</hr>\n<temp_f>97.8</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I21</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K16</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate error log data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>19a033e5-3ad7-4877-8a96-e38503174031</error_id>\n<timestamp>2026-01-07T13:51:26.139508</timestamp>\n<level>ERROR</level>\n<service>offService</service>\n<message>Light method real rich option.</message>\n<stack_trace>at very.py:253</stack_trace>\n<stack_trace>at piece.py:469</stack_trace>\n<stack_trace>at home.py:259</stack_trace>\n<context>\n<user_id>45de80c2-9a4d-4d83-abf9-651f235bf4e8</user_id>\n<request_id>53b4884a-375f-459c-a303-838dd3a8411e</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-2186180\npatient_mrn: MRN-340912\nprescriber: Derek Gonzalez\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: daily\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-39452168\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"ca270bc8-d443-4389-880a-6fc8dd3e9fa5\",\n  \"username\": \"robertowens\",\n  \"content\": \"With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\\nFactor even apply how three box light.\",\n  \"timestamp\": \"2026-01-07T13:51:25.425211\",\n  \"hashtags\": [\n    \"#training\",\n    \"#Democrat\",\n    \"#pattern\",\n    \"#discover\"\n  ],\n  \"engagement\": {\n    \"likes\": 5319,\n    \"shares\": 573,\n    \"comments\": 283\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: May 2020\ntotal_revenue: 9864225\nunits_sold: 74086\nchannels:\n- name: online\n  revenue: 906832\n  growth: -8.93\n- name: wholesale\n  revenue: 2437365\n  growth: 2.73\ntop_products:\n- sku: SKU-7032\n  sales: 420063\n- sku: SKU-9360\n  sales: 149398\n- sku: SKU-9440\n  sales: 105905\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>October 2022</period>\n<total_revenue>4790876</total_revenue>\n<units_sold>72609</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1112533</revenue>\n<growth>2.85</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3150615</revenue>\n<growth>-3.34</growth>\n</channels>\n<top_products>\n<sku>SKU-7795</sku>\n<sales>492045</sales>\n</top_products>\n<top_products>\n<sku>SKU-5231</sku>\n<sales>195976</sales>\n</top_products>\n<top_products>\n<sku>SKU-5539</sku>\n<sales>335045</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"October 2022\",\n  \"total_revenue\": 4790876,\n  \"units_sold\": 72609,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1112533,\n      \"growth\": 2.85\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3150615,\n      \"growth\": -3.34\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7795\",\n      \"sales\": 492045\n    },\n    {\n      \"sku\": \"SKU-5231\",\n      \"sales\": 195976\n    },\n    {\n      \"sku\": \"SKU-5539\",\n      \"sales\": 335045\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate experiment result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-393268</experiment_id>\n<title>Effect of themselves on time</title>\n<methodology>\n<design>RCT</design>\n<sample_size>237</sample_size>\n<duration_days>116</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.76</baseline>\n<endpoint>73.98</endpoint>\n<p_value>0.4055</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>70.26</baseline>\n<endpoint>84.17</endpoint>\n<p_value>0.253</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.1</baseline>\n<endpoint>56.91</endpoint>\n<p_value>0.1172</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,code,funding_source,grading_final,grading_homework,grading_midterm,instructor,keywords,paper_id,publication_doi,publication_venue,publication_year,term,title\r\n,,,VMA483,,40,30,30,Tamara Stark,,,,,,Spring 2022,\r\nField where gun save. End discover price the nation positive. Bill military after something save. Be,\"[{\"\"name\"\": \"\"Steven Castaneda\"\", \"\"affiliation\"\": \"\"Cohen, Fernandez and Sanders\"\", \"\"email\"\": \"\"tamara15@exam\",67,,Roy Inc,,,,,\"[\"\"focus\"\", \"\"without\"\", \"\"people\"\", \"\"write\"\"]\",arXiv:2021.22486,10.4738/jgld,Nature,2022,,Adaptive dynamic core\r\nWind third will send compare speak. Phone me chance record sense politics.,\"[{\"\"name\"\": \"\"Timothy Juarez\"\", \"\"affiliation\"\": \"\"West-Nunez\"\", \"\"email\"\": \"\"amandagallegos@example.net\"\"}, {\"\"n\",416,,None,,,,,\"[\"\"that\"\", \"\"myself\"\", \"\"prove\"\", \"\"how\"\"]\",arXiv:2023.83300,10.7283/tRhP,Science,2024,,Programmable responsive methodology\r\nClaim argue you must artist believe. Business including option difficult bank development. Race only,\"[{\"\"name\"\": \"\"Selena Bruce\"\", \"\"affiliation\"\": \"\"Garcia LLC\"\", \"\"email\"\": \"\"richardstewart@example.org\"\"}, {\"\"nam\",191,,Stout Inc,,,,,\"[\"\"street\"\", \"\"notice\"\", \"\"fine\"\", \"\"like\"\", \"\"everyone\"\"]\",arXiv:2023.20004,10.2231/oVZY,Cell,2021,,Persistent 4thgeneration approach\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Leon-Lewis\"\nticker = \"FGCI\"\nquarter = \"Q4 2022\"\nrevenue = 56885685\nexpenses = 46362888\nnet_income = 14538939\neps = 7.9\n\n[metrics]\nprofit_margin = 25.04\nroe = 5.27\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-5790382\npatient_mrn: MRN-357903\norder_date: '2026-01-02'\npanel: CBC\nresults:\n- test: Glucose\n  value: 56.1\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 114.1\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 154.7\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 196.1\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>a016c8d2-6aba-435a-ab46-60ac8aacf0a5</error_id>\n<timestamp>2026-01-07T13:51:26.006823</timestamp>\n<level>CRITICAL</level>\n<service>currentService</service>\n<message>Well nation stay number now but.</message>\n<stack_trace>at daughter.py:364</stack_trace>\n<stack_trace>at same.py:66</stack_trace>\n<context>\n<user_id>432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5</user_id>\n<request_id>4ed63374-fc09-4101-b987-4a8ee575fee3</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"a016c8d2-6aba-435a-ab46-60ac8aacf0a5\",\n  \"timestamp\": \"2026-01-07T13:51:26.006823\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"currentService\",\n  \"message\": \"Well nation stay number now but.\",\n  \"stack_trace\": [\n    \"at daughter.py:364\",\n    \"at same.py:66\"\n  ],\n  \"context\": {\n    \"user_id\": \"432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5\",\n    \"request_id\": \"4ed63374-fc09-4101-b987-4a8ee575fee3\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 03dcbba2-8070-483e-a807-51e4c6301bf5\ntimestamp: '2026-01-07T13:51:27.875594'\nlevel: WARNING\nservice: stockService\nmessage: Feel garden dark.\nstack_trace:\n- at another.py:304\n- at happy.py:331\n- at record.py:415\ncontext:\n  user_id: cedcf075-a01b-42e9-acdc-a300ea843992\n  request_id: acbfd7fd-a4ab-431b-a098-ac4537826f14\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,title,total\r\n,,,fe237049-a4a1-4a5c-af14-940bbb31d0e7,,,,paypal,,,,,1227.54\r\nIndividual education outside particular student expert eye. Could sort already race candidate.,\"[{\"\"name\"\": \"\"Deborah Richardson\"\", \"\"affiliation\"\": \"\"Smith LLC\"\", \"\"email\"\": \"\"danielsbrett@example.com\"\"}, {\"\"\",79,,None,\"[\"\"interest\"\", \"\"dream\"\", \"\"far\"\", \"\"understand\"\"]\",arXiv:2022.45556,,10.6940/WzuX,Cell,2020,Compatible 3rdgeneration analyzer,\r\nAffect within second road run push. Five drive late leave open eye cold. Account operation white nic,\"[{\"\"name\"\": \"\"Justin Lucas\"\", \"\"affiliation\"\": \"\"Williams, Williams and Cameron\"\", \"\"email\"\": \"\"sylvia38@exampl\",81,,\"Allen, Aguilar and Smith\",\"[\"\"factor\"\", \"\"deep\"\", \"\"he\"\", \"\"model\"\", \"\"head\"\"]\",arXiv:2024.92466,,10.8648/mRXC,Nature,2021,Innovative zero-defect neural-net,\r\n\"Laugh almost high different appear.\nGuess return yet you table over. Have who foot whose wait health\",\"[{\"\"name\"\": \"\"Sydney Smith\"\", \"\"affiliation\"\": \"\"Brewer, Jacobs and Rodriguez\"\", \"\"email\"\": \"\"weaverkathleen@ex\",300,,None,\"[\"\"little\"\", \"\"method\"\", \"\"know\"\", \"\"perform\"\"]\",arXiv:2022.28425,,10.1596/JaQF,Cell,2024,Universal impactful collaboration,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d</error_id>\n<timestamp>2026-01-07T13:51:27.288021</timestamp>\n<level>CRITICAL</level>\n<service>reasonService</service>\n<message>Recent security meet three Congress find seat.</message>\n<stack_trace>at current.py:236</stack_trace>\n<stack_trace>at your.py:146</stack_trace>\n<stack_trace>at without.py:194</stack_trace>\n<context>\n<user_id>fc408ea4-9df4-4d81-87da-9d63d4bc8744</user_id>\n<request_id>d8c95012-b6bb-42d7-8cb4-e57e77353a5b</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\",\n  \"timestamp\": \"2026-01-07T13:51:27.288021\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"reasonService\",\n  \"message\": \"Recent security meet three Congress find seat.\",\n  \"stack_trace\": [\n    \"at current.py:236\",\n    \"at your.py:146\",\n    \"at without.py:194\"\n  ],\n  \"context\": {\n    \"user_id\": \"fc408ea4-9df4-4d81-87da-9d63d4bc8744\",\n    \"request_id\": \"d8c95012-b6bb-42d7-8cb4-e57e77353a5b\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9719971\",\n  \"patient_mrn\": \"MRN-909141\",\n  \"prescriber\": \"Heather Stephens\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3741\"\ncode = \"XMJ312\"\ntitle = \"Managed incremental focus group 101\"\ninstructor = \"Rachel Diaz\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"body\"\n\n[[schedule]]\nweek = 2\ntopic = \"rather\"\n\n[[schedule]]\nweek = 3\ntopic = \"song\"\n\n[[schedule]]\nweek = 4\ntopic = \"child\"\n\n[[schedule]]\nweek = 5\ntopic = \"born\"\n\n[[schedule]]\nweek = 6\ntopic = \"beyond\"\n\n[[schedule]]\nweek = 7\ntopic = \"there\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate financial report data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nFoster Inc,9.47,33028916,25.44,12.18,14922808,Q1 2022,43206466,PSKP\r\n\"Stanley, Ward and Morris\",6.85,43869028,9.5,23.23,17206628,Q1 2024,12342721,TDBR\r\n\"Bennett, Villanueva and Nguyen\",3.92,1844486,22.1,5.32,5620075,Q4 2022,86216631,JHOI\r\nMurray Inc,6.29,69669754,8.69,17.75,9470233,Q3 2024,52640065,QUVI\r\n\"Dominguez, Torres and Ray\",2.8,76872003,11.57,19.68,17920678,Q2 2020,61466432,SXFI\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-784600,2026-01-06,\"[{\"\"name\"\": \"\"Snyder-Thornton\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Oliver Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,16,53888\r\nCTR-695209,2026-01-03,\"[{\"\"name\"\": \"\"Howe LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Chambers, Richardson and Sullivan\"\", \"\"role\"\": \"\"par\",active,30,413817\r\nCTR-762308,2026-01-01,\"[{\"\"name\"\": \"\"Rhodes, Clark and Ross\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Le Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,54,468174\r\nCTR-849933,2026-01-02,\"[{\"\"name\"\": \"\"Rice, Heath and Phillips\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Oliver Group\"\", \"\"role\"\": \"\"party_b\"\"\",active,48,450525\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id = \"CTR-784600\"\neffective_date = \"2026-01-06\"\nterm_months = 16\nvalue = 53888\nstatus = \"active\"\n[[parties]]\nname = \"Snyder-Thornton\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Oliver Group\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Richard Ltd</company>\n<ticker>XHCL</ticker>\n<quarter>Q4 2020</quarter>\n<revenue>71255223</revenue>\n<expenses>54916122</expenses>\n<net_income>1190834</net_income>\n<eps>4.63</eps>\n<metrics>\n<profit_margin>14.39</profit_margin>\n<roe>19.33</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>534039</total_revenue>\n<units_sold>34851</units_sold>\n<channels>\n<name>retail</name>\n<revenue>707158</revenue>\n<growth>43.16</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2548868</revenue>\n<growth>26.24</growth>\n</channels>\n<top_products>\n<sku>SKU-6020</sku>\n<sales>18280</sales>\n</top_products>\n<top_products>\n<sku>SKU-3349</sku>\n<sales>458703</sales>\n</top_products>\n<top_products>\n<sku>SKU-8781</sku>\n<sales>265385</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I24\"\"}]\",,2026-01-06,CN-3244099,61,F,MRN-470382,158/77,112,99.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I40\"\"}]\",headache,2026-01-05,CN-1930411,83,M,MRN-164033,174/85,78,101.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K23\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J13\"\"}]\",headache,2026-01-05,CN-1369458,64,M,MRN-987322,97/99,86,102.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K22\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J34\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-05,CN-9945813,35,F,MRN-444737,91/98,106,98.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2021\"\ntotal_revenue = 1217170\nunits_sold = 89713\n[[channels]]\nname = \"online\"\nrevenue = 2251675\ngrowth = 49.05\n\n[[channels]]\nname = \"retail\"\nrevenue = 443598\ngrowth = -6.52\n\n[[top_products]]\nsku = \"SKU-8555\"\nsales = 81952\n\n[[top_products]]\nsku = \"SKU-5583\"\nsales = 464876\n\n[[top_products]]\nsku = \"SKU-1703\"\nsales = 453436\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle = \"Vision-oriented maximized contingency 101\"\nterm = \"Spring 2021\"\ncredits = 3\n[[schedule]]\nweek = 1\ntopic = \"against\"\n\n[[schedule]]\nweek = 2\ntopic = \"practice\"\n\n[[schedule]]\nweek = 3\ntopic = \"south\"\n\n[[schedule]]\nweek = 4\ntopic = \"if\"\n\n[[schedule]]\nweek = 5\ntopic = \"wait\"\n\n[[schedule]]\nweek = 6\ntopic = \"season\"\n\n[[schedule]]\nweek = 7\ntopic = \"sure\"\n\n[[schedule]]\nweek = 8\ntopic = \"protect\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-744456\"\nstudent_id = \"STU-954920\"\ncourse_id = \"CRS-3021\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 97\npercentage = 89.67\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\ndate = \"2026-01-04\"\npatient_mrn = \"MRN-588828\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: TID\n  quantity: 60\npatient_mrn: MRN-588828\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-94493547</post_id>\n<platform>instagram</platform>\n<user_id>ebddd714-2a63-4fd6-985c-fb7fe32db0b4</user_id>\n<username>laura52</username>\n<content>Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\nWhat ok that look past. Budget understand mouth during brother pull type spring.</content>\n<timestamp>2026-01-07T13:51:27.134920</timestamp>\n<hashtags>#red</hashtags>\n<hashtags>#hotel</hashtags>\n<hashtags>#create</hashtags>\n<engagement>\n<likes>8599</likes>\n<shares>93</shares>\n<comments>39</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-94493547\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ebddd714-2a63-4fd6-985c-fb7fe32db0b4\",\n  \"username\": \"laura52\",\n  \"content\": \"Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\\nWhat ok that look past. Budget understand mouth during brother pull type spring.\",\n  \"timestamp\": \"2026-01-07T13:51:27.134920\",\n  \"hashtags\": [\n    \"#red\",\n    \"#hotel\",\n    \"#create\"\n  ],\n  \"engagement\": {\n    \"likes\": 8599,\n    \"shares\": 93,\n    \"comments\": 39\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"June 2022\",\n  \"total_revenue\": 7287772,\n  \"units_sold\": 8566,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 931216,\n      \"growth\": 10.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1224016,\n      \"growth\": 31.92\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1474\",\n      \"sales\": 19268\n    },\n    {\n      \"sku\": \"SKU-3289\",\n      \"sales\": 31397\n    },\n    {\n      \"sku\": \"SKU-4950\",\n      \"sales\": 322920\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-879460\",\n  \"student_id\": \"STU-948921\",\n  \"course_id\": \"CRS-8763\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 83,\n  \"percentage\": 96.07,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-879460</assessment_id>\n<student_id>STU-948921</student_id>\n<course_id>CRS-8763</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>83</total_score>\n<percentage>96.07</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nAlong its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make ,\"[{\"\"name\"\": \"\"Jared Fuller\"\", \"\"affiliation\"\": \"\"Robinson, Crawford and Johnson\"\", \"\"email\"\": \"\"jenna58@example\",488,Johnson LLC,\"[\"\"surface\"\", \"\"consumer\"\", \"\"despite\"\", \"\"compare\"\", \"\"protect\"\"]\",arXiv:2020.65510,10.8909/Qnkv,Nature,2022,Mandatory solution-oriented groupware\r\n\"Anyone station particularly. Side know station early staff.\nAppear executive car only according seat\",\"[{\"\"name\"\": \"\"Kenneth Thompson\"\", \"\"affiliation\"\": \"\"King, Benton and Jones\"\", \"\"email\"\": \"\"fruiz@example.com\"\"}\",160,\"Fowler, Torres and Sosa\",\"[\"\"east\"\", \"\"believe\"\", \"\"include\"\", \"\"open\"\"]\",arXiv:2022.55799,10.2008/ldyq,Nature,2022,Down-sized multi-state leverage\r\nPopulation avoid week rest defense respond address. Garden share power activity local.,\"[{\"\"name\"\": \"\"James Carroll\"\", \"\"affiliation\"\": \"\"Kim-Fox\"\", \"\"email\"\": \"\"nicholspamela@example.net\"\"}, {\"\"name\"\":\",472,Hill and Sons,\"[\"\"benefit\"\", \"\"air\"\", \"\"analysis\"\"]\",arXiv:2022.29623,10.6566/gpqp,Science,2020,Progressive actuating knowledge user\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?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", "content": "Approach:\n1. Task: Convert experiment result from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id = \"EXP-318732\"\ntitle = \"Effect of produce on stock\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 20.77\nendpoint = 67.03\np_value = 0.1826\n\n[[results]]\nmetric = \"safety\"\nbaseline = 69.69\nendpoint = 32.04\np_value = 0.1176\n\n[methodology]\ndesign = \"observational\"\nsample_size = 303\nduration_days = 155\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Stand-alone dedicated complexity API\"\nversion = \"1.0.0\"\n\n[paths.\"/hear\".get]\nsummary = \"Chance cultural sort including high.\"\n[[paths.\"/hear\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/hear\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/hear\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/hear\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/hear\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-23186111</post_id>\n<platform>twitter</platform>\n<user_id>85951ac5-a9b8-4154-8edc-693bcde245cf</user_id>\n<username>srodriguez</username>\n<content>Stand leave decade year collection. Republican point edge yet business.\nSuffer accept central against. Cup theory mouth side message.\nConcern magazine exactly maybe oil difficult.</content>\n<timestamp>2026-01-07T13:51:25.750515</timestamp>\n<hashtags>#community</hashtags>\n<hashtags>#whatever</hashtags>\n<engagement>\n<likes>4745</likes>\n<shares>251</shares>\n<comments>51</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-896633\"\neffective_date = \"2026-01-03\"\nterm_months = 21\nvalue = 926875\nstatus = \"pending\"\n[[parties]]\nname = \"Smith-Cross\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Carrillo and Sons\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9628131,,Range condition class leader wrong subject wait. Stop we prevent particular front method. Force item,Re-contextualized logistical paradigm,,,,,\r\nART-1731778,Ashley Thompson,Develop popular treat remember audience choose. Cause draw few serious official board. Five whatever,Optional encompassing parallelism,2026-01-01T02:52:36.592518,Politics,2132,\"[\"\"magazine\"\", \"\"soldier\"\", \"\"voice\"\"]\",56498\r\nART-2090642,Anthony Rodriguez,\"Everybody together step visit. Write be performance talk six piece.\nResponse cup very keep thought. \",Customizable clear-thinking throughput,2026-01-06T13:15:24.009303,Tech,868,\"[\"\"than\"\", \"\"young\"\", \"\"dog\"\"]\",52222\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Richard Ltd\nticker: XHCL\nquarter: Q4 2020\nrevenue: 71255223\nexpenses: 54916122\nnet_income: 1190834\neps: 4.63\nmetrics:\n  profit_margin: 14.39\n  roe: 19.33\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<customer_id>5642be10-2f96-4bf3-93bb-ea73b498db7e</customer_id>\n<timestamp>2026-01-07T13:51:27.704310</timestamp>\n<total>2159.3</total>\n<tax>150.65</tax>\n<items>\n<sku>SKU-21107</sku>\n<qty>2</qty>\n<price>436.86</price>\n</items>\n<items>\n<sku>SKU-34269</sku>\n<qty>3</qty>\n<price>260.71</price>\n</items>\n<items>\n<sku>SKU-81249</sku>\n<qty>3</qty>\n<price>416.92</price>\n</items>\n<items>\n<sku>SKU-97216</sku>\n<qty>3</qty>\n<price>177.96</price>\n</items>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"customer_id\": \"5642be10-2f96-4bf3-93bb-ea73b498db7e\",\n  \"timestamp\": \"2026-01-07T13:51:27.704310\",\n  \"total\": 2159.3,\n  \"tax\": 150.65,\n  \"items\": [\n    {\n      \"sku\": \"SKU-21107\",\n      \"qty\": 2,\n      \"price\": 436.86\n    },\n    {\n      \"sku\": \"SKU-34269\",\n      \"qty\": 3,\n      \"price\": 260.71\n    },\n    {\n      \"sku\": \"SKU-81249\",\n      \"qty\": 3,\n      \"price\": 416.92\n    },\n    {\n      \"sku\": \"SKU-97216\",\n      \"qty\": 3,\n      \"price\": 177.96\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Persevering homogeneous application API\"\nversion = \"1.0.0\"\n\n[paths.\"/generation\".get]\nsummary = \"Explain people tonight.\"\n[[paths.\"/generation\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/generation\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/generation\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/generation\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/generation\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nDVL286,CRS-2434,4,40,30,30,Scott Kim,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"laugh\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"success\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"between\"\"}, {\"\"\",Spring 2020,Inverse national capacity 101\r\nPAQ433,CRS-7464,4,40,30,30,Daniel Barton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"painting\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"understand\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"list\"\"},\",Fall 2021,Multi-layered national conglomeration 101\r\nTXD278,CRS-8722,4,40,30,30,Brenda Peterson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"enough\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"win\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"choice\"\"}, {\"\"week\",Fall 2024,Ameliorated regional pricing structure 101\r\nHZP466,CRS-4717,4,40,30,30,Jesus Allen,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"now\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"we\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"region\"\"}, {\"\"week\"\": 4\",Spring 2020,Optional web-enabled time-frame 101\r\nOTR418,CRS-1484,4,40,30,30,Christina Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"though\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"eat\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"teach\"\"}, {\"\"week\"\"\",Spring 2022,Reduced bi-directional support 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8422\"\ncode = \"OMY437\"\ntitle = \"Optimized upward-trending conglomeration 101\"\ninstructor = \"Rodney Anderson\"\ncredits = 3\nterm = \"Spring 2023\"\n[[schedule]]\nweek = 1\ntopic = \"answer\"\n\n[[schedule]]\nweek = 2\ntopic = \"best\"\n\n[[schedule]]\nweek = 3\ntopic = \"meet\"\n\n[[schedule]]\nweek = 4\ntopic = \"simple\"\n\n[[schedule]]\nweek = 5\ntopic = \"peace\"\n\n[[schedule]]\nweek = 6\ntopic = \"upon\"\n\n[[schedule]]\nweek = 7\ntopic = \"power\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle: Polarized methodical algorithm\nauthors:\n- name: Caroline Barnes\n  affiliation: Parker Ltd\n  email: angelajackson@example.net\n- name: Mario Boyd\n  affiliation: Johnson, Barber and Higgins\n  email: lfuller@example.com\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-86945311</post_id>\n<platform>facebook</platform>\n<user_id>b9da037c-f6cd-4ced-8c95-ca7562cf6118</user_id>\n<username>martinsteven</username>\n<content>Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.</content>\n<timestamp>2026-01-07T13:51:26.810240</timestamp>\n<hashtags>#drop</hashtags>\n<hashtags>#consider</hashtags>\n<hashtags>#nature</hashtags>\n<hashtags>#all</hashtags>\n<engagement>\n<likes>3344</likes>\n<shares>900</shares>\n<comments>482</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-544771</contract_id>\n<parties>\n<name>Prince-Finley</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Stone LLC</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-02</effective_date>\n<term_months>52</term_months>\n<value>394049</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-544771\",\n  \"parties\": [\n    {\n      \"name\": \"Prince-Finley\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Stone LLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-02\",\n  \"term_months\": 52,\n  \"value\": 394049,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>69ef512f-ddd4-415a-b99a-51e8f50d151c</error_id>\n<timestamp>2026-01-07T13:51:25.644182</timestamp>\n<level>WARNING</level>\n<service>fillService</service>\n<message>Minute heart focus arrive.</message>\n<stack_trace>at administration.py:211</stack_trace>\n<stack_trace>at lawyer.py:276</stack_trace>\n<stack_trace>at discussion.py:115</stack_trace>\n<context>\n<user_id>29c6c678-1224-4e33-8bc1-e94776cd4eb2</user_id>\n<request_id>42e054d1-48f9-4a1c-ad7b-82ed505d6250</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"69ef512f-ddd4-415a-b99a-51e8f50d151c\",\n  \"timestamp\": \"2026-01-07T13:51:25.644182\",\n  \"level\": \"WARNING\",\n  \"service\": \"fillService\",\n  \"message\": \"Minute heart focus arrive.\",\n  \"stack_trace\": [\n    \"at administration.py:211\",\n    \"at lawyer.py:276\",\n    \"at discussion.py:115\"\n  ],\n  \"context\": {\n    \"user_id\": \"29c6c678-1224-4e33-8bc1-e94776cd4eb2\",\n    \"request_id\": \"42e054d1-48f9-4a1c-ad7b-82ed505d6250\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/air_get_parameters,paths_/air_get_responses_200_description,paths_/air_get_responses_400_description,paths_/air_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Pre-emptive interactive encryption API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Final democratic whatever event director guy.,,,,\r\nLet two Republican security avoid through speak hospital. Present natural anyone.,\"[{\"\"name\"\": \"\"John Fisher\"\", \"\"affiliation\"\": \"\"Wall Inc\"\", \"\"email\"\": \"\"alyssacordova@example.com\"\"}, {\"\"name\"\": \",397,None,,,\"[\"\"rise\"\", \"\"real\"\", \"\"democratic\"\", \"\"game\"\"]\",,arXiv:2021.67333,,,,,10.2142/hVzj,Nature,2020,Automated modular knowledgebase\r\n\"Season free data while Mr. Seek fire left study miss bar.\nBehind from help. Game capital mention wou\",\"[{\"\"name\"\": \"\"Jacqueline Boyd\"\", \"\"affiliation\"\": \"\"Benjamin, Warren and Graves\"\", \"\"email\"\": \"\"matthewpalmer@e\",64,None,,,\"[\"\"onto\"\", \"\"feeling\"\", \"\"and\"\", \"\"society\"\", \"\"look\"\"]\",,arXiv:2024.13771,,,,,10.9030/ufHF,Nature,2024,Re-engineered real-time installation\r\nChair he thousand. Type market market good clearly least everybody. World factor matter join.,\"[{\"\"name\"\": \"\"Michael Dean\"\", \"\"affiliation\"\": \"\"Smith-Jones\"\", \"\"email\"\": \"\"patrickking@example.net\"\"}, {\"\"name\"\"\",350,None,,,\"[\"\"begin\"\", \"\"trip\"\", \"\"apply\"\", \"\"produce\"\"]\",,arXiv:2021.44762,,,,,10.4365/ktLI,Science,2020,Programmable cohesive project\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-5008217\",\n  \"product_id\": \"PROD-173271\",\n  \"user_id\": \"11121b86-b60c-4ea2-b83a-cbb727cd7a24\",\n  \"rating\": 2,\n  \"title\": \"Lay lead it politics brother.\",\n  \"content\": \"Camera left hope prevent inside real. Whether trouble their always manager cultural majority popular. Song condition entire security concern science. Run number firm listen serious.\",\n  \"date\": \"2026-01-01\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 23\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5008217</review_id>\n<product_id>PROD-173271</product_id>\n<user_id>11121b86-b60c-4ea2-b83a-cbb727cd7a24</user_id>\n<rating>2</rating>\n<title>Lay lead it politics brother.</title>\n<content>Camera left hope prevent inside real. Whether trouble their always manager cultural majority popular. Song condition entire security concern science. Run number firm listen serious.</content>\n<date>2026-01-01</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>23</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.3653/hXNF\"\n  },\n  \"funding_source\": \"Kramer Ltd\",\n  \"title\": \"Configurable bandwidth-monitored strategy\",\n  \"authors\": [\n    {\n      \"name\": \"James Brown\",\n      \"affiliation\": \"Ward-Davidson\",\n      \"email\": \"wilsonkristin@example.org\"\n    },\n    {\n      \"name\": \"Luke Liu\",\n      \"affiliation\": \"Obrien-Huynh\",\n      \"email\": \"jason08@example.org\"\n    },\n    {\n      \"name\": \"Paula Gonzalez\",\n      \"affiliation\": \"Jones-Howell\",\n      \"email\": \"brent41@example.org\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.3653/hXNF</doi>\n</publication>\n<funding_source>Kramer Ltd</funding_source>\n<title>Configurable bandwidth-monitored strategy</title>\n<authors>\n<name>James Brown</name>\n<affiliation>Ward-Davidson</affiliation>\n<email>wilsonkristin@example.org</email>\n</authors>\n<authors>\n<name>Luke Liu</name>\n<affiliation>Obrien-Huynh</affiliation>\n<email>jason08@example.org</email>\n</authors>\n<authors>\n<name>Paula Gonzalez</name>\n<affiliation>Jones-Howell</affiliation>\n<email>brent41@example.org</email>\n</authors>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Develop particularly receive thing process sister source. Ago short fact start meeting note need. Ho,,2026-01-03,42,,,,PROD-905516,1,REV-3637179,,,,,Hand ok join you population.,cbc145e7-7f32-438c-ba90-61711bf65a15,False\r\nbooks,,USD,,,True,Intuitive discrete orchestration,67.54,PROD-251066,2.84,,0,27x46x53cm,36.63,438,,,\r\nclothing,,USD,,,True,Multi-channeled leadingedge core,214.25,PROD-884962,2.26,,580,95x14x63cm,6.53,819,,,\r\nbooks,,USD,,,True,User-centric dedicated adapter,934.44,PROD-731260,1.02,,107,35x67x45cm,33.66,163,,,\r\nclothing,,USD,,,True,Upgradable user-facing Internet solution,447.24,PROD-338199,3.94,,424,89x39x90cm,38.86,331,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3409162</note_id>\n<patient>\n<mrn>MRN-721241</mrn>\n<age>35</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>173/107</bp>\n<hr>61</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-549878\",\n  \"student_id\": \"STU-264168\",\n  \"course_id\": \"CRS-6692\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 70,\n  \"percentage\": 54.38,\n  \"grade\": \"C\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-549878</assessment_id>\n<student_id>STU-264168</student_id>\n<course_id>CRS-6692</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>70</total_score>\n<percentage>54.38</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.31964</paper_id>\n<title>Optimized solution-oriented success</title>\n<authors>\n<name>Meagan Sutton</name>\n<affiliation>Williamson, Mitchell and Smith</affiliation>\n<email>davilabridget@example.com</email>\n</authors>\n<authors>\n<name>William Gross</name>\n<affiliation>Miller and Sons</affiliation>\n<email>linda03@example.net</email>\n</authors>\n<abstract>Price while never. Night great must well remain. Share less reveal often.</abstract>\n<keywords>less</keywords>\n<keywords>radio</keywords>\n<keywords>spend</keywords>\n<keywords>which</keywords>\n<publication>\n<venue>Science</venue>\n<year>2023</year>\n<doi>10.4651/vEqE</doi>\n</publication>\n<citations>155</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.31964\",\n  \"title\": \"Optimized solution-oriented success\",\n  \"authors\": [\n    {\n      \"name\": \"Meagan Sutton\",\n      \"affiliation\": \"Williamson, Mitchell and Smith\",\n      \"email\": \"davilabridget@example.com\"\n    },\n    {\n      \"name\": \"William Gross\",\n      \"affiliation\": \"Miller and Sons\",\n      \"email\": \"linda03@example.net\"\n    }\n  ],\n  \"abstract\": \"Price while never. Night great must well remain. Share less reveal often.\",\n  \"keywords\": [\n    \"less\",\n    \"radio\",\n    \"spend\",\n    \"which\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2023,\n    \"doi\": \"10.4651/vEqE\"\n  },\n  \"citations\": 155,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent: 'Range condition class leader wrong subject wait. Stop we prevent particular\n  front method. Force item executive employee green large house nation. General doctor\n  material rule head event.\n\n  One will dog chance. Order away music seem director put upon. Find boy again direction\n  four.'\narticle_id: ART-9628131\nheadline: Re-contextualized logistical paradigm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52,e8daac99-0bad-4fb0-ae26-78525528db85,e78ff1cc-d984-499d-9fcf-126ccada9355,,,WARNING,Bag difference growth have leader yeah him.,,,,,generationService,\"[\"\"at teach.py:30\"\", \"\"at poor.py:409\"\"]\",2026-01-07T13:51:26.607679,\r\nNewspaper might position sport box Mrs. Fund end theory member place image. Many analysis from use p,\"[{\"\"name\"\": \"\"Chase Le\"\", \"\"affiliation\"\": \"\"Gregory LLC\"\", \"\"email\"\": \"\"emily06@example.com\"\"}, {\"\"name\"\": \"\"Prisc\",324,,,,Johnson-Wilson,\"[\"\"today\"\", \"\"miss\"\", \"\"court\"\"]\",,,arXiv:2021.55593,10.4708/SHLa,Science,2020,,,,Diverse systemic benchmark\r\nNetwork again need weight account sound measure machine. Final finally few set it everybody another.,\"[{\"\"name\"\": \"\"Dennis Anderson\"\", \"\"affiliation\"\": \"\"Robinson, Hines and Turner\"\", \"\"email\"\": \"\"jason15@example.\",319,,,,None,\"[\"\"night\"\", \"\"but\"\", \"\"face\"\"]\",,,arXiv:2023.14192,10.9079/ySGH,Nature,2024,,,,De-engineered foreground standardization\r\n\"Center language bring once purpose itself. Your compare maybe sister party decide.\nExperience remain\",\"[{\"\"name\"\": \"\"Janet Gardner\"\", \"\"affiliation\"\": \"\"Mooney, Stuart and Dunn\"\", \"\"email\"\": \"\"christopherbutler@exa\",6,,,,Anderson-Nelson,\"[\"\"forward\"\", \"\"read\"\", \"\"institution\"\"]\",,,arXiv:2022.74141,10.5780/NBeF,Nature,2024,,,,Digitized dedicated middleware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>6b141850-4372-44c1-8cf7-fc47780a5017</error_id>\n<timestamp>2026-01-07T13:51:26.727039</timestamp>\n<level>WARNING</level>\n<service>fullService</service>\n<message>Simply human maintain sport.</message>\n<stack_trace>at environmental.py:351</stack_trace>\n<stack_trace>at develop.py:28</stack_trace>\n<stack_trace>at send.py:431</stack_trace>\n<context>\n<user_id>fad7b695-3fb8-4313-ad8d-c2b1d4034196</user_id>\n<request_id>2ca5c81e-d6c8-42a4-9e09-9715e928fe91</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-401481,RCT,303,923,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.8, \"\"endpoint\"\": 78.56, \"\"p_value\"\": 0.2947}, {\"\"metric\"\": \"\"efficac\",Effect of area on general\r\nsignificant,EXP-882331,cohort,200,320,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 96.5, \"\"endpoint\"\": 11.91, \"\"p_value\"\": 0.1375}, {\"\"metric\"\": \"\"efficac\",Effect of religious on speech\r\nnon-significant,EXP-359828,observational,206,202,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.89, \"\"endpoint\"\": 51.63, \"\"p_value\"\": 0.4978}, {\"\"metric\"\": \"\"safety\"\",\",Effect of commercial on collection\r\nsignificant,EXP-660894,cohort,165,255,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 86.18, \"\"endpoint\"\": 31.25, \"\"p_value\"\": 0.2268}, {\"\"metric\"\": \"\"safety\"\",\",Effect of foreign on four\r\nsignificant,EXP-715005,cohort,186,758,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 57.49, \"\"endpoint\"\": 46.37, \"\"p_value\"\": 0.1428}, {\"\"metric\"\": \"\"efficacy\",Effect of quickly on final\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<total_revenue>6798538</total_revenue>\n<channels>\n<name>online</name>\n<revenue>2139770</revenue>\n<growth>-9.99</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1809716</revenue>\n<growth>7.01</growth>\n</channels>\n<top_products>\n<sku>SKU-3049</sku>\n<sales>22854</sales>\n</top_products>\n<top_products>\n<sku>SKU-5505</sku>\n<sales>203281</sales>\n</top_products>\n<top_products>\n<sku>SKU-9853</sku>\n<sales>260538</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"total_revenue\": 6798538,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 2139770,\n      \"growth\": -9.99\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1809716,\n      \"growth\": 7.01\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3049\",\n      \"sales\": 22854\n    },\n    {\n      \"sku\": \"SKU-5505\",\n      \"sales\": 203281\n    },\n    {\n      \"sku\": \"SKU-9853\",\n      \"sales\": 260538\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-7805635\"\npatient_mrn = \"MRN-843768\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 178.2\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 60.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 53.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 184.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 106.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1132090</review_id>\n<product_id>PROD-380257</product_id>\n<user_id>251dc214-da1e-4fb5-8ea5-d107ad43f82c</user_id>\n<rating>4</rating>\n<title>Young race true property less government.</title>\n<content>Brother agent radio might own development. Too strong minute building why. Cell so amount imagine simple.\nCourt every deal change allow last practice. Western far thus.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>14</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"042db0a1-c9b1-49a9-9d69-5247a8c47159\"\ntimestamp = \"2026-01-07T13:51:27.377057\"\nlevel = \"ERROR\"\nservice = \"whomService\"\nmessage = \"Each reality trip red enough tough common.\"\nstack_trace = [ \"at note.py:398\", \"at purpose.py:452\", \"at onto.py:106\", \"at member.py:439\",]\n\n[context]\nuser_id = \"70c0c786-0e43-42b2-8ec7-e975f39a71f7\"\nrequest_id = \"95ca942a-a33a-413f-b1a1-a21e12fa0f30\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Optional bottom-line complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/traditional\": {\n      \"get\": {\n        \"summary\": \"Discussion then kind hair.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-7317178\",\n  \"headline\": \"Sharable 5thgeneration framework\",\n  \"author\": \"Judy Garner\",\n  \"published\": \"2026-01-07T07:35:28.380949\",\n  \"section\": \"Politics\",\n  \"content\": \"Cover whole myself late last month authority. Make away choose difficult.\\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.\",\n  \"tags\": [\n    \"cover\",\n    \"people\",\n    \"available\",\n    \"above\",\n    \"service\"\n  ],\n  \"views\": 84087,\n  \"shares\": 2480\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-7317178</article_id>\n<headline>Sharable 5thgeneration framework</headline>\n<author>Judy Garner</author>\n<published>2026-01-07T07:35:28.380949</published>\n<section>Politics</section>\n<content>Cover whole myself late last month authority. Make away choose difficult.\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.</content>\n<tags>cover</tags>\n<tags>people</tags>\n<tags>available</tags>\n<tags>above</tags>\n<tags>service</tags>\n<views>84087</views>\n<shares>2480</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-8348908\npatient:\n  mrn: MRN-109351\n  age: 84\n  gender: F\nencounter_date: '2026-01-06'\nchief_complaint: fever\nvitals:\n  bp: 157/81\n  hr: 101\n  temp_f: 97.1\nassessment:\n- problem: diabetes\n  icd10: J60\n- problem: diabetes\n  icd10: K69\n- problem: hypertension\n  icd10: J80\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Sharable solution-oriented migration API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/anything\": {\n      \"get\": {\n        \"summary\": \"Those all evidence respond she listen.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nKnowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.,95,2564,187,\"[\"\"#daughter\"\", \"\"#after\"\", \"\"#affect\"\", \"\"#goal\"\"]\",instagram,POST-49469407,2026-01-07T13:51:26.031233,c776cd7c-2538-4c81-83c8-03afd724bed1,donald18\r\nRead truth amount buy music environment. Industry threat recent rest mission available. Analysis fin,100,3055,707,\"[\"\"#car\"\", \"\"#other\"\", \"\"#arm\"\", \"\"#a\"\"]\",facebook,POST-84408018,2026-01-07T13:51:26.033345,e06ceb36-6ff7-414f-b6eb-3a138910227b,mholt\r\n\"Democratic month size toward store.\nGet choice she management fill really beautiful. Reality cup phy\",210,6055,744,\"[\"\"#amount\"\", \"\"#manager\"\", \"\"#since\"\"]\",instagram,POST-29466088,2026-01-07T13:51:26.033893,ed4d4ccd-1c65-4883-a35e-d5d6ff806ad4,murraypaul\r\nUnder simple foot while huge might against. Enjoy able employee magazine beyond game least. Central ,194,6074,989,\"[\"\"#there\"\", \"\"#stock\"\", \"\"#carry\"\", \"\"#attention\"\"]\",instagram,POST-54696778,2026-01-07T13:51:26.034607,8c219d0e-f564-4f06-b9b6-a8bcd81019ff,blairneil\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2021\"\ntotal_revenue = 1467254\nunits_sold = 63744\n[[channels]]\nname = \"wholesale\"\nrevenue = 2975287\ngrowth = -1.88\n\n[[channels]]\nname = \"online\"\nrevenue = 2665464\ngrowth = 14.77\n\n[[top_products]]\nsku = \"SKU-1172\"\nsales = 348860\n\n[[top_products]]\nsku = \"SKU-4431\"\nsales = 479568\n\n[[top_products]]\nsku = \"SKU-6244\"\nsales = 245719\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,City not either situation all along might. Under could expect build member. Fish ready onto white ma,,2026-01-05,57,,,,PROD-894495,4,REV-1521978,,,,,Great how data open such.,0e93d4dc-0d39-4af2-8ec3-d8d1250011b9,False\r\nclothing,,USD,,,True,Stand-alone 24hour hub,371.23,PROD-850043,2.78,,189,84x27x73cm,37.91,746,,,\r\nelectronics,,USD,,,True,Organic interactive attitude,784.86,PROD-898233,2.42,,893,82x73x47cm,14.1,460,,,\r\nelectronics,,USD,,,True,Future-proofed web-enabled productivity,996.83,PROD-131902,2.17,,89,73x74x91cm,20.0,287,,,\r\nclothing,,USD,,,True,Right-sized high-level database,735.04,PROD-550858,1.07,,740,79x97x28cm,30.18,810,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6952117\npatient:\n  mrn: MRN-227055\n  age: 50\n  gender: F\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 146/78\n  hr: 63\n  temp_f: 97.9\nassessment:\n- problem: hypertension\n  icd10: J35\n- problem: hypertension\n  icd10: K44\n- problem: hypertension\n  icd10: I58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nperiod = \"July 2021\"\ntotal_revenue = 5979422\nunits_sold = 82076\n[[channels]]\nname = \"retail\"\nrevenue = 3460112\ngrowth = 36.85\n\n[[channels]]\nname = \"online\"\nrevenue = 3983364\ngrowth = 5.55\n\n[[top_products]]\nsku = \"SKU-1065\"\nsales = 105510\n\n[[top_products]]\nsku = \"SKU-4043\"\nsales = 281142\n\n[[top_products]]\nsku = \"SKU-1338\"\nsales = 43006\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-5973418\",\n  \"patient_mrn\": \"MRN-615844\",\n  \"prescriber\": \"Brian Erickson\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need prescription details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-212219,Crystal Brown,RX-5875927\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-894830,David Barnett,RX-5098239\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvas\",MRN-998274,John Underwood,RX-6552684\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopri\",MRN-862627,Michael Thompson,RX-4103439\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-185605\"\nstudent_id = \"STU-180082\"\ncourse_id = \"CRS-1339\"\ntype = \"exam\"\ndate = \"2026-01-02\"\ntotal_score = 97\npercentage = 93.43\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-8706225\",\n  \"patient_mrn\": \"MRN-970748\",\n  \"prescriber\": \"Brady Keller\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8706225</rx_id>\n<patient_mrn>MRN-970748</patient_mrn>\n<prescriber>Brady Keller</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-64636774\"\nplatform = \"instagram\"\nuser_id = \"180a1898-015f-483f-94a7-e771a6fb148e\"\nusername = \"melissa16\"\ncontent = \"Use Mr only week. Crime form attention. Right world stand surface rate three.\"\ntimestamp = \"2026-01-07T13:51:26.942814\"\nhashtags = [ \"#economic\", \"#speak\",]\n\n[engagement]\nlikes = 9998\nshares = 653\ncomments = 4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"company\": \"Snow, Shelton and Parsons\",\n  \"ticker\": \"LYEH\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 49988929,\n  \"expenses\": 3428077,\n  \"net_income\": 8543670,\n  \"eps\": 3.41,\n  \"metrics\": {\n    \"profit_margin\": 11.21,\n    \"roe\": 5.99\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Snow, Shelton and Parsons</company>\n<ticker>LYEH</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>49988929</revenue>\n<expenses>3428077</expenses>\n<net_income>8543670</net_income>\n<eps>3.41</eps>\n<metrics>\n<profit_margin>11.21</profit_margin>\n<roe>5.99</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-896640\"\neffective_date = \"2026-01-03\"\nterm_months = 44\nvalue = 504674\nstatus = \"executed\"\n[[parties]]\nname = \"Glenn-Ortiz\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Edwards, Lynn and Preston\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-485879</assessment_id>\n<student_id>STU-284737</student_id>\n<course_id>CRS-1053</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>64.04</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-485879\",\n  \"student_id\": \"STU-284737\",\n  \"course_id\": \"CRS-1053\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 64.04,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-3948\",\n  \"code\": \"CSZ142\",\n  \"title\": \"Intuitive foreground functionalities 101\",\n  \"instructor\": \"Robert Carter\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"catch\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"out\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"story\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"share\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"become\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"part\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"cell\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3948</course_id>\n<code>CSZ142</code>\n<title>Intuitive foreground functionalities 101</title>\n<instructor>Robert Carter</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>catch</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>out</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>story</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>share</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>become</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>part</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>cell</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-8547948</result_id>\n<patient_mrn>MRN-375584</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>136.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>110.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>77.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>164.2</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>53.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-8547948\",\n  \"patient_mrn\": \"MRN-375584\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 136.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 110.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 77.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 164.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 53.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-842353\",\n  \"name\": \"Synergistic bottom-line conglomeration\",\n  \"category\": \"books\",\n  \"price\": 609.49,\n  \"currency\": \"USD\",\n  \"stock\": 399,\n  \"is_available\": true,\n  \"rating\": 1.05,\n  \"reviews\": 570,\n  \"specs\": {\n    \"weight_kg\": 25.04,\n    \"dimensions\": \"30x19x82cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output student assessment as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-766800</assessment_id>\n<student_id>STU-927295</student_id>\n<course_id>CRS-8819</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>99</total_score>\n<percentage>71.71</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-305818\"\nconclusion = \"non-significant\"\ntitle = \"Effect of long on no\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 23.53\nendpoint = 16.45\np_value = 0.2406\n\n[[results]]\nmetric = \"safety\"\nbaseline = 97.51\nendpoint = 52.65\np_value = 0.2701\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 363\nduration_days = 286\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from TOML to JSON:\ntotal_score = 97\npercentage = 78.32\ncourse_id = \"CRS-4089\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from TOML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"total_score\": 97,\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"percentage\": 78.32,\n  \"course_id\": \"CRS-4089\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-19357850\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"664b960b-1331-492f-addd-e9b37d21656f\",\n  \"username\": \"mbaldwin\",\n  \"content\": \"Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.\",\n  \"timestamp\": \"2026-01-07T13:51:27.605837\",\n  \"hashtags\": [\n    \"#cost\",\n    \"#he\",\n    \"#relationship\"\n  ],\n  \"engagement\": {\n    \"likes\": 304,\n    \"shares\": 796,\n    \"comments\": 124\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\ncontract_id = \"CTR-324198\"\neffective_date = \"2026-01-06\"\nterm_months = 34\nvalue = 725205\nstatus = \"pending\"\n[[parties]]\nname = \"Alvarado-Barnes\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Lopez, Price and Melendez\"\nrole = \"party_b\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-324198\nparties:\n- name: Alvarado-Barnes\n  role: party_a\n- name: Lopez, Price and Melendez\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 34\nvalue: 725205\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"company\": \"Hardy-Nguyen\",\n  \"ticker\": \"ZAMS\",\n  \"quarter\": \"Q3 2024\",\n  \"revenue\": 23201336,\n  \"expenses\": 30350118,\n  \"net_income\": 14673850,\n  \"eps\": 3.22,\n  \"metrics\": {\n    \"profit_margin\": 18.82,\n    \"roe\": 21.21\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-463450\"\nstudent_id = \"STU-104360\"\ncourse_id = \"CRS-1316\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 95\npercentage = 61.98\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.47681</paper_id>\n<title>Devolved bi-directional info-mediaries</title>\n<authors>\n<name>Christian Randolph</name>\n<affiliation>Hunt-Haynes</affiliation>\n<email>patrickmaddox@example.net</email>\n</authors>\n<authors>\n<name>Allen Lewis</name>\n<affiliation>Owen PLC</affiliation>\n<email>alexanderhenry@example.net</email>\n</authors>\n<authors>\n<name>Cody Martin</name>\n<affiliation>Mcknight PLC</affiliation>\n<email>michael00@example.org</email>\n</authors>\n<abstract>Help field ten it. Pick eight last star pull. Act politics discuss.</abstract>\n<keywords>hard</keywords>\n<keywords>open</keywords>\n<keywords>right</keywords>\n<keywords>could</keywords>\n<keywords>sea</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.8057/cNYF</doi>\n</publication>\n<citations>411</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.47681\",\n  \"title\": \"Devolved bi-directional info-mediaries\",\n  \"authors\": [\n    {\n      \"name\": \"Christian Randolph\",\n      \"affiliation\": \"Hunt-Haynes\",\n      \"email\": \"patrickmaddox@example.net\"\n    },\n    {\n      \"name\": \"Allen Lewis\",\n      \"affiliation\": \"Owen PLC\",\n      \"email\": \"alexanderhenry@example.net\"\n    },\n    {\n      \"name\": \"Cody Martin\",\n      \"affiliation\": \"Mcknight PLC\",\n      \"email\": \"michael00@example.org\"\n    }\n  ],\n  \"abstract\": \"Help field ten it. Pick eight last star pull. Act politics discuss.\",\n  \"keywords\": [\n    \"hard\",\n    \"open\",\n    \"right\",\n    \"could\",\n    \"sea\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.8057/cNYF\"\n  },\n  \"citations\": 411,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<title>Stand-alone empowering functionalities 101</title>\n<schedule>\n<week>1</week>\n<topic>class</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>leave</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>develop</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>style</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>again</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>man</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>list</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"value\": 911148,\n  \"contract_id\": \"CTR-919818\",\n  \"parties\": [\n    {\n      \"name\": \"Riggs, Carey and Rojas\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Mcdowell-Koch\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"status\": \"active\",\n  \"term_months\": 18\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-464030\nparties:\n- name: Morales, Williams and Williams\n  role: party_a\n- name: Ward-Miller\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 35\nvalue: 994957\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"c6e14566-270a-4a5f-a250-5239ca9174ac\"\ntimestamp = \"2026-01-07T13:51:26.338486\"\nlevel = \"ERROR\"\nservice = \"humanService\"\nmessage = \"Fear she east talk better central.\"\nstack_trace = [ \"at college.py:218\", \"at economy.py:209\", \"at let.py:252\", \"at whole.py:18\",]\n\n[context]\nuser_id = \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\"\nrequest_id = \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-504304\",\n  \"parties\": [\n    {\n      \"name\": \"Waters-Vega\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Petty, Thompson and Dillon\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 50,\n  \"value\": 407863,\n  \"status\": \"executed\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-852879,,CRS-9070,,2026-01-04,C,,,,,53.23,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-517758,,,58,exam\r\n,PVU113,CRS-2544,4,,,40,30,30,Ashley Morris,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"soon\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"long\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"own\"\"}, {\"\"week\"\": 4\",,,Fall 2021,Versatile 5thgeneration application 101,,\r\n,CYE324,CRS-2291,3,,,40,30,30,Joshua Johnson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"site\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"population\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"close\"\"}, {\"\"\",,,Spring 2021,Universal global capacity 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-530397,,CRS-8191,,2026-01-01,A,,,,,61.03,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 3, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 5, \"\"po\",STU-509684,,,91,quiz\r\n,EWU268,CRS-6528,3,,,40,30,30,Jeff Bennett,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"represent\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"international\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"the\",,,Spring 2023,Horizontal transitional extranet 101,,\r\n,XEQ433,CRS-4620,3,,,40,30,30,Jonathan Cabrera,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"report\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"begin\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"floor\"\"}, {\"\"wee\",,,Fall 2021,Proactive executive definition 101,,\r\n,JLC381,CRS-5661,3,,,40,30,30,Jenna Larson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"require\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"service\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"hope\"\"}, {\"\"w\",,,Fall 2021,Business-focused systemic circuit 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnet_income = 16280737\nrevenue = 93235840\nexpenses = 6835352\n\n[metrics]\nprofit_margin = 9.67\nroe = 5.79\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-168652,cohort,186,797,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 24.16, \"\"endpoint\"\": 44.82, \"\"p_value\"\": 0.0559}, {\"\"metric\"\": \"\"efficacy\",Effect of green on from\r\nsignificant,EXP-193330,RCT,348,373,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 97.78, \"\"endpoint\"\": 93.18, \"\"p_value\"\": 0.1711}, {\"\"metric\"\": \"\"efficacy\",Effect of want on blue\r\nnon-significant,EXP-196207,cohort,247,138,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 66.41, \"\"endpoint\"\": 58.9, \"\"p_value\"\": 0.4479}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of movement on hour\r\nsignificant,EXP-756418,observational,95,354,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 23.07, \"\"endpoint\"\": 70.47, \"\"p_value\"\": 0.0038}, {\"\"metric\"\": \"\"safety\"\",\",Effect of wife on base\r\nsignificant,EXP-711496,RCT,172,102,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 60.35, \"\"endpoint\"\": 41.41, \"\"p_value\"\": 0.261}, {\"\"metric\"\": \"\"safety\"\"\",Effect of quite on wind\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Centralized web-enabled hardware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</improve>\n<get>\n<summary>Act attention yes herself significant recent.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//improve>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Centralized web-enabled hardware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/improve\": {\n      \"get\": {\n        \"summary\": \"Act attention yes herself significant recent.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"91d16731-5e7b-4a47-8285-7a54d79d3b76\"\ntimestamp = \"2026-01-07T13:51:25.635487\"\nlevel = \"WARNING\"\nservice = \"AmericanService\"\nmessage = \"Drug sell certainly major total.\"\nstack_trace = [ \"at although.py:151\", \"at mission.py:443\",]\n\n[context]\nuser_id = \"11d85442-7276-4e30-9249-06df8089bd39\"\nrequest_id = \"f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-39289028\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\",\n  \"username\": \"rhodessharon\",\n  \"content\": \"City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.\",\n  \"timestamp\": \"2026-01-07T13:51:26.862472\",\n  \"hashtags\": [\n    \"#yet\",\n    \"#listen\"\n  ],\n  \"engagement\": {\n    \"likes\": 2391,\n    \"shares\": 751,\n    \"comments\": 108\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate lab result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4504067</result_id>\n<patient_mrn>MRN-266543</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>181.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>164.3</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>140.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>113.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>2472943</total_revenue>\n<units_sold>2053</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3703587</revenue>\n<growth>38.49</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3200920</revenue>\n<growth>-8.82</growth>\n</channels>\n<top_products>\n<sku>SKU-8959</sku>\n<sales>220308</sales>\n</top_products>\n<top_products>\n<sku>SKU-7189</sku>\n<sales>206126</sales>\n</top_products>\n<top_products>\n<sku>SKU-5359</sku>\n<sales>225947</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-738287\",\n  \"name\": \"Function-based dedicated installation\",\n  \"category\": \"electronics\",\n  \"price\": 364.53,\n  \"currency\": \"USD\",\n  \"stock\": 956,\n  \"is_available\": true,\n  \"rating\": 1.64,\n  \"reviews\": 854,\n  \"specs\": {\n    \"weight_kg\": 19.72,\n    \"dimensions\": \"48x33x88cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-738287</product_id>\n<name>Function-based dedicated installation</name>\n<category>electronics</category>\n<price>364.53</price>\n<currency>USD</currency>\n<stock>956</stock>\n<is_available>True</is_available>\n<rating>1.64</rating>\n<reviews>854</reviews>\n<specs>\n<weight_kg>19.72</weight_kg>\n<dimensions>48x33x88cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3440</course_id>\n<code>KLD251</code>\n<title>Reverse-engineered foreground infrastructure 101</title>\n<instructor>Courtney Escobar</instructor>\n<credits>4</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>despite</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>action</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>big</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>music</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nRespond order far story by area affect. Important also catch down choice office necessary political.,,,,5,REV-2205395,,,\r\n\"Seem social natural war box. Individual without do speak kind. Yeah behind thus family try large.\nWo\",2026-01-01,84,PROD-783315,4,REV-8247814,And determine nice city professor.,e2419ade-89d5-4ffd-afcf-3ca8dfbf0083,False\r\n\"Also out sell show allow none whole. Reduce order end hard seven camera close.\nMovie involve old beh\",2026-01-04,41,PROD-267667,2,REV-5750090,Goal although Democrat boy have our employee.,d7ec9da1-668a-440a-82d5-fc3a512710e7,True\r\nCouple daughter year season stop. Institution some inside. Recent without most law.,2026-01-05,1,PROD-190905,3,REV-5636641,Get strong into score sing result list.,adc7fd92-c31f-46d6-8515-236be6a6118a,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"September 2022\",\n  \"total_revenue\": 4880286,\n  \"units_sold\": 74173,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2000312,\n      \"growth\": 0.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3751658,\n      \"growth\": -3.19\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6977\",\n      \"sales\": 264067\n    },\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 443161\n    },\n    {\n      \"sku\": \"SKU-1793\",\n      \"sales\": 209512\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2022</period>\n<total_revenue>4880286</total_revenue>\n<units_sold>74173</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2000312</revenue>\n<growth>0.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3751658</revenue>\n<growth>-3.19</growth>\n</channels>\n<top_products>\n<sku>SKU-6977</sku>\n<sales>264067</sales>\n</top_products>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>443161</sales>\n</top_products>\n<top_products>\n<sku>SKU-1793</sku>\n<sales>209512</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"8332f894-7969-41dc-b41e-1d31b796cba0\"\ntimestamp = \"2026-01-07T13:51:27.125156\"\nlevel = \"CRITICAL\"\nservice = \"imageService\"\nmessage = \"Bad prepare able heavy morning.\"\nstack_trace = [ \"at property.py:50\", \"at short.py:272\",]\n\n[context]\nuser_id = \"a3de195f-baae-4936-bd72-230b1e266327\"\nrequest_id = \"35eb846c-1e2f-4451-a60f-b8ee42943a10\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-919818,,\"[{\"\"name\"\": \"\"Riggs, Carey and Rojas\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mcdowell-Koch\"\", \"\"role\"\": \"\"party_b\"\"}\",active,18,911148\r\nCTR-873474,2026-01-06,\"[{\"\"name\"\": \"\"Green, Richardson and Villarreal\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Padilla LLC\"\", \"\"role\"\": \"\"p\",executed,49,521192\r\nCTR-356485,2026-01-05,\"[{\"\"name\"\": \"\"Moore Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Haney-Kennedy\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,20,81785\r\nCTR-188763,2026-01-03,\"[{\"\"name\"\": \"\"Cunningham-Gardner\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Herring and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,23,642374\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output prescription as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-1565761\",\n  \"patient_mrn\": \"MRN-226686\",\n  \"prescriber\": \"Regina Martin\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-3990665\",\n  \"patient_mrn\": \"MRN-508219\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 80.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 90.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 138.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 151.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need financial report details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nGutierrez Inc,9.2,4451883,19.12,12.89,9920815,Q3 2022,13510189,SEWA\r\nBaker PLC,4.99,17112241,11.17,13.29,5738309,Q3 2021,37620146,FSTK\r\nKing-Hall,3.74,43188977,19.03,12.11,4072661,Q4 2023,11745324,NVAT\r\nHaley Ltd,7.71,64896312,27.95,11.22,15192998,Q2 2022,49661189,IZYY\r\n\"Griffin, Terry and Young\",6.04,9303713,13.0,19.58,9746287,Q2 2023,68409105,QJDD\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-210763\",\n  \"name\": \"Team-oriented grid-enabled support\",\n  \"category\": \"clothing\",\n  \"price\": 360.14,\n  \"currency\": \"USD\",\n  \"stock\": 657,\n  \"is_available\": true,\n  \"rating\": 3.34,\n  \"reviews\": 923,\n  \"specs\": {\n    \"weight_kg\": 14.15,\n    \"dimensions\": \"28x80x26cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5751204</note_id>\n<patient>\n<mrn>MRN-566004</mrn>\n<age>47</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>160/96</bp>\n<hr>75</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I93</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-5751204\",\n  \"patient\": {\n    \"mrn\": \"MRN-566004\",\n    \"age\": 47,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"160/96\",\n    \"hr\": 75,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nexperiment_id: EXP-506156\ntitle: Effect of window on soldier\nmethodology:\n  design: observational\n  sample_size: 884\n  duration_days: 87\nresults:\n- metric: safety\n  baseline: 32.86\n  endpoint: 81.82\n  p_value: 0.3265\n- metric: efficacy\n  baseline: 88.84\n  endpoint: 10.2\n  p_value: 0.448\n- metric: safety\n  baseline: 27.68\n  endpoint: 60.55\n  p_value: 0.1062\n- metric: safety\n  baseline: 51.8\n  endpoint: 89.23\n  p_value: 0.4543\nconclusion: significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-506156</experiment_id>\n<title>Effect of window on soldier</title>\n<methodology>\n<design>observational</design>\n<sample_size>884</sample_size>\n<duration_days>87</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>32.86</baseline>\n<endpoint>81.82</endpoint>\n<p_value>0.3265</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>88.84</baseline>\n<endpoint>10.2</endpoint>\n<p_value>0.448</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>27.68</baseline>\n<endpoint>60.55</endpoint>\n<p_value>0.1062</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>51.8</baseline>\n<endpoint>89.23</endpoint>\n<p_value>0.4543</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-883170,observational,58,694,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 44.38, \"\"endpoint\"\": 67.27, \"\"p_value\"\": 0.4662}, {\"\"metric\"\": \"\"efficacy\",Effect of raise on whatever\r\nsignificant,EXP-224289,observational,339,436,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 26.11, \"\"endpoint\"\": 80.69, \"\"p_value\"\": 0.1011}, {\"\"metric\"\": \"\"effica\",Effect of product on receive\r\nsignificant,EXP-695410,RCT,197,721,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 83.72, \"\"endpoint\"\": 48.24, \"\"p_value\"\": 0.1368}, {\"\"metric\"\": \"\"safety\"\",\",Effect of likely on strong\r\nnon-significant,EXP-182002,RCT,196,803,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.26, \"\"endpoint\"\": 22.37, \"\"p_value\"\": 0.3081}, {\"\"metric\"\": \"\"efficacy\",Effect of Congress on great\r\nnon-significant,EXP-967069,observational,341,486,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 31.28, \"\"endpoint\"\": 98.44, \"\"p_value\"\": 0.3404}, {\"\"metric\"\": \"\"effica\",Effect of house on worry\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npublication:\n  venue: Cell\n  year: 2021\n  doi: 10.3653/hXNF\nfunding_source: Kramer Ltd\ntitle: Configurable bandwidth-monitored strategy\nauthors:\n- name: James Brown\n  affiliation: Ward-Davidson\n  email: wilsonkristin@example.org\n- name: Luke Liu\n  affiliation: Obrien-Huynh\n  email: jason08@example.org\n- name: Paula Gonzalez\n  affiliation: Jones-Howell\n  email: brent41@example.org\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9017474</result_id>\n<patient_mrn>MRN-783803</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>65.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>160.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>142.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>179.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>97.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>148.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-9017474\",\n  \"patient_mrn\": \"MRN-783803\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 65.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 160.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 179.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 148.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment:\n- problem: hypertension\n  icd10: K11\n- problem: hypertension\n  icd10: J76\n- problem: hypertension\n  icd10: K40\nchief_complaint: chest pain\nvitals:\n  bp: 95/71\n  hr: 65\n  temp_f: 99.9\nnote_id: CN-4263292\nencounter_date: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Rodriguez, Curry and Yates\",7.94,55129980,29.26,9.63,12179320,Q1 2020,4863925,KWAZ\r\n\"Winters, Gregory and Miller\",6.66,61031502,20.44,17.94,17910722,Q3 2021,44845570,WCND\r\nMoore-Michael,9.53,78343526,13.93,16.71,11975775,Q3 2024,14009061,WEPE\r\n\"King, Boone and Harrison\",6.81,64588695,19.24,12.65,2044424,Q3 2020,98281853,ZHAH\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Progressive contextually-based hardware API\n  version: 1.0.0\npaths:\n  /perform:\n    get:\n      summary: Within believe example affect win.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate prescription data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9458448</rx_id>\n<patient_mrn>MRN-362998</patient_mrn>\n<prescriber>Courtney Hansen</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-3472120\npatient_mrn: MRN-972429\nprescriber: Matthew Bennett\ndate: '2026-01-06'\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: daily\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 35258b76-e7b3-456a-b0cc-94fb923e242d\ntimestamp: '2026-01-06T09:43:34.491748'\nlevel: WARNING\nservice: stationService\nmessage: Support paper do before science see later name.\nstack_trace:\n- at piece.py:150\n- at but.py:24\ncontext:\n  user_id: 821c8051-dd08-4950-a1c7-1795d243b508\n  request_id: 95d984b8-060c-4fd4-b059-ae6959b12e22\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nresult_id = \"LAB-5387789\"\npatient_mrn = \"MRN-887521\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"WBC\"\nvalue = 66.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 111.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 168.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 136.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 148.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 86.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5387789</result_id>\n<patient_mrn>MRN-887521</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>WBC</test>\n<value>66.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>111.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>168.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>136.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>86.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-6180455\nheadline: Grass-roots multi-tasking hub\nauthor: David Espinoza\npublished: '2026-01-07T13:20:10.771283'\nsection: Politics\ncontent: 'Either large lot east. Show everybody away city election happy my. Believe\n  left sure mother.\n\n  Whom game determine road little. Sing this character. Agent fill kitchen themselves\n  agreement.\n\n  Woman draw budget stage. Star cultural old president where national success.'\ntags:\n- size\n- commercial\n- president\n- city\n- expect\nviews: 43396\nshares: 2564\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-299234</contract_id>\n<parties>\n<name>Murphy, Hawkins and Mckenzie</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Collins-Miller</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>46</term_months>\n<value>506357</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this YAML data into XML format:\npost_id: POST-29576154\nplatform: instagram\nuser_id: b3774d2a-dced-4164-bd7b-7d043d7ec920\nusername: boydkaren\ncontent: Responsibility this statement area thing imagine free. Under quickly treatment\n  ever end social military. Majority before treatment decide.\ntimestamp: '2026-01-07T13:51:27.160344'\nhashtags:\n- '#involve'\n- '#fact'\n- '#rest'\nengagement:\n  likes: 923\n  shares: 56\n  comments: 396\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-29576154</post_id>\n<platform>instagram</platform>\n<user_id>b3774d2a-dced-4164-bd7b-7d043d7ec920</user_id>\n<username>boydkaren</username>\n<content>Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.</content>\n<timestamp>2026-01-07T13:51:27.160344</timestamp>\n<hashtags>#involve</hashtags>\n<hashtags>#fact</hashtags>\n<hashtags>#rest</hashtags>\n<engagement>\n<likes>923</likes>\n<shares>56</shares>\n<comments>396</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"September 2022\"\ntotal_revenue = 5982372\nunits_sold = 78089\n[[channels]]\nname = \"retail\"\nrevenue = 432268\ngrowth = 7.09\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1032274\ngrowth = 12.79\n\n[[top_products]]\nsku = \"SKU-2208\"\nsales = 290396\n\n[[top_products]]\nsku = \"SKU-3451\"\nsales = 297775\n\n[[top_products]]\nsku = \"SKU-9401\"\nsales = 56671\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nexperiment_id: EXP-137327\ntitle: Effect of class on read\nmethodology:\n  design: RCT\n  sample_size: 679\n  duration_days: 111\nresults:\n- metric: safety\n  baseline: 73.26\n  endpoint: 72.84\n  p_value: 0.0533\n- metric: efficacy\n  baseline: 49.24\n  endpoint: 28.3\n  p_value: 0.0809\nconclusion: significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-137327,RCT,111,679,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 73.26, \"\"endpoint\"\": 72.84, \"\"p_value\"\": 0.0533}, {\"\"metric\"\": \"\"efficacy\",Effect of class on read\r\nnon-significant,EXP-337989,RCT,200,453,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 83.47, \"\"endpoint\"\": 20.08, \"\"p_value\"\": 0.2404}, {\"\"metric\"\": \"\"effica\",Effect of whom on option\r\nnon-significant,EXP-610551,cohort,77,541,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 20.47, \"\"endpoint\"\": 63.09, \"\"p_value\"\": 0.4414}, {\"\"metric\"\": \"\"effica\",Effect of late on since\r\nsignificant,EXP-574374,RCT,176,740,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 61.76, \"\"endpoint\"\": 50.18, \"\"p_value\"\": 0.122}, {\"\"metric\"\": \"\"efficac\",Effect of stuff on live\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nencounter_date: '2026-01-03'\nnote_id: CN-2646438\npatient:\n  mrn: MRN-771263\n  age: 41\n  gender: M\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.21424\",\n  \"title\": \"Cross-platform fault-tolerant circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Charlotte Sellers\",\n      \"affiliation\": \"Armstrong-Marks\",\n      \"email\": \"weaverelizabeth@example.com\"\n    },\n    {\n      \"name\": \"Cynthia Johnston MD\",\n      \"affiliation\": \"Rogers Inc\",\n      \"email\": \"ccastaneda@example.org\"\n    },\n    {\n      \"name\": \"Robert Velasquez\",\n      \"affiliation\": \"Alvarado LLC\",\n      \"email\": \"psullivan@example.net\"\n    }\n  ],\n  \"abstract\": \"Truth himself long country car environment. Free design relate hope admit learn identify.\",\n  \"keywords\": [\n    \"share\",\n    \"feeling\",\n    \"environmental\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6091/Sfwn\"\n  },\n  \"citations\": 477,\n  \"funding_source\": \"Barker-Wise\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6224145\npatient:\n  mrn: MRN-560569\n  age: 88\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: headache\nvitals:\n  bp: 119/73\n  hr: 63\n  temp_f: 100.0\nassessment:\n- problem: hypertension\n  icd10: I32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Eaton, Mccarty and Lopez\"\nticker = \"OWKB\"\nquarter = \"Q3 2021\"\nrevenue = 46227283\nexpenses = 75330506\nnet_income = 13309525\neps = 4.82\n\n[metrics]\nprofit_margin = 29.61\nroe = 8.93\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"December 2023\",\n  \"total_revenue\": 5338205,\n  \"units_sold\": 90572,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2316482,\n      \"growth\": -1.07\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 3744469,\n      \"growth\": -0.81\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4601\",\n      \"sales\": 454934\n    },\n    {\n      \"sku\": \"SKU-9892\",\n      \"sales\": 55264\n    },\n    {\n      \"sku\": \"SKU-8319\",\n      \"sales\": 254442\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>December 2023</period>\n<total_revenue>5338205</total_revenue>\n<units_sold>90572</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2316482</revenue>\n<growth>-1.07</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3744469</revenue>\n<growth>-0.81</growth>\n</channels>\n<top_products>\n<sku>SKU-4601</sku>\n<sales>454934</sales>\n</top_products>\n<top_products>\n<sku>SKU-9892</sku>\n<sales>55264</sales>\n</top_products>\n<top_products>\n<sku>SKU-8319</sku>\n<sales>254442</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n7ef8b7c0-96f5-425b-a34a-21b7e1f5f553,\"[{\"\"sku\"\": \"\"SKU-10520\"\", \"\"qty\"\": 2, \"\"price\"\": 262.34}, {\"\"sku\"\": \"\"SKU-69100\"\", \"\"qty\"\": 4, \"\"price\"\": 135.83}, {\",paypal,887.28,42.29,2026-01-06T09:43:31.932704,731.95,TXN-50783918\r\n33bc8ef8-d712-49bf-9ba2-ce02d6eadca8,\"[{\"\"sku\"\": \"\"SKU-49350\"\", \"\"qty\"\": 2, \"\"price\"\": 345.57}]\",apple_pay,665.95,105.64,2026-01-06T09:43:31.936512,1056.95,TXN-92427864\r\n4cdb304a-2607-44b4-9244-2dbd636c21b1,\"[{\"\"sku\"\": \"\"SKU-71598\"\", \"\"qty\"\": 3, \"\"price\"\": 303.38}, {\"\"sku\"\": \"\"SKU-98508\"\", \"\"qty\"\": 2, \"\"price\"\": 23.16}, {\"\"\",credit_card,1180.21,7.29,2026-01-06T09:43:31.936589,994.01,TXN-71524541\r\nf52d13dd-b3a5-47e7-97a4-013445bbe28b,\"[{\"\"sku\"\": \"\"SKU-32940\"\", \"\"qty\"\": 2, \"\"price\"\": 269.98}, {\"\"sku\"\": \"\"SKU-36180\"\", \"\"qty\"\": 2, \"\"price\"\": 378.86}, {\",credit_card,762.61,149.43,2026-01-06T09:43:31.936664,64.35,TXN-70293349\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate transaction record data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-60159725</txn_id>\n<customer_id>13707a49-23b0-4133-8216-7e83986c9575</customer_id>\n<timestamp>2026-01-07T13:51:27.689251</timestamp>\n<items>\n<sku>SKU-82899</sku>\n<qty>5</qty>\n<price>298.29</price>\n</items>\n<items>\n<sku>SKU-51515</sku>\n<qty>4</qty>\n<price>343.78</price>\n</items>\n<items>\n<sku>SKU-53336</sku>\n<qty>3</qty>\n<price>488.21</price>\n</items>\n<items>\n<sku>SKU-52517</sku>\n<qty>2</qty>\n<price>291.79</price>\n</items>\n<subtotal>1914.1</subtotal>\n<tax>175.88</tax>\n<total>1360.6</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-250544,LAB-4911961,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 121.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"v\"\r\n2026-01-04,Lipid,MRN-558855,LAB-1684566,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 116.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-04,CMP,MRN-113007,LAB-9575892,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 196.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 9\"\r\n2026-01-03,CBC,MRN-158877,LAB-5161649,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 103.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 192\"\r\n2026-01-02,CBC,MRN-307360,LAB-4032045,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 199.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 91.3, \"\"\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J90\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I22\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-03,CN-6709459,50,M,MRN-104418,143/96,69,101.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J74\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J32\"\"}]\",chest pain,2026-01-05,CN-7335382,21,F,MRN-895106,93/70,117,97.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K29\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I38\"\"}, {\"\"problem\",chest pain,2026-01-01,CN-2693208,63,F,MRN-358703,143/110,87,102.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J63\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I13\"\"}]\",headache,2026-01-04,CN-4813171,64,F,MRN-348353,98/86,107,102.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-8547948</result_id>\n<patient_mrn>MRN-375584</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>136.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>110.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>77.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>164.2</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>53.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 2337421\nunits_sold: 23839\nchannels:\n- name: retail\n  revenue: 3840938\n  growth: 18.52\n- name: wholesale\n  revenue: 1512471\n  growth: 13.02\ntop_products:\n- sku: SKU-1744\n  sales: 276633\n- sku: SKU-5145\n  sales: 26445\n- sku: SKU-9218\n  sales: 412054\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-458464\",\n  \"student_id\": \"STU-453066\",\n  \"course_id\": \"CRS-7675\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 67,\n  \"percentage\": 65.79,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-458464</assessment_id>\n<student_id>STU-453066</student_id>\n<course_id>CRS-7675</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>67</total_score>\n<percentage>65.79</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K44\"\"}]\",fever,2026-01-04,CN-2804449,73,F,MRN-394213,162/64,70,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I19\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J99\"\"}, {\"\"problem\"\": \"\"hype\",chest pain,2026-01-06,CN-5991540,37,F,MRN-684447,149/75,67,100.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K43\"\"}]\",fever,2026-01-06,CN-3041214,41,M,MRN-644865,148/69,62,98.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}]\",fever,2026-01-02,CN-4797120,65,M,MRN-730283,173/73,66,98.9\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion = \"significant\"\ntitle = \"Effect of magazine on discover\"\nexperiment_id = \"EXP-617852\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 57.64\nendpoint = 64.57\np_value = 0.2882\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 47.26\nendpoint = 77.5\np_value = 0.021\n\n[[results]]\nmetric = \"safety\"\nbaseline = 92.35\nendpoint = 18.34\np_value = 0.4815\n\n[[results]]\nmetric = \"safety\"\nbaseline = 93.26\nendpoint = 73.26\np_value = 0.1087\n\n[methodology]\ndesign = \"observational\"\nsample_size = 799\nduration_days = 300\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nusername = \"nicholasalvarez\"\npost_id = \"POST-61351209\"\nhashtags = [ \"#pretty\", \"#admit\", \"#available\",]\nuser_id = \"5e546096-8461-4a3f-84e6-813e9e89a39c\"\n\n[engagement]\nlikes = 6676\nshares = 196\ncomments = 84\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-110536\"\nname = \"Organized didactic parallelism\"\ncategory = \"clothing\"\nprice = 68.12\ncurrency = \"USD\"\nstock = 153\nis_available = true\nrating = 1.45\nreviews = 277\n\n[specs]\nweight_kg = 1.85\ndimensions = \"33x70x14cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1748125,Sandra Bennett,\"Majority meeting sound have week public pass. Major food relate spend seven.\nIndeed run fund.\nFedera\",Customizable leadingedge structure,2026-01-03T22:52:42.741679,Sports,2505,\"[\"\"subject\"\", \"\"attention\"\", \"\"class\"\", \"\"campaign\"\", \"\"second\"\"]\",63827\r\nART-7130585,Ricardo Thomas,\"Natural piece move investment former chance fine. Baby enter protect join general suggest light.\nDeg\",Open-architected object-oriented moratorium,2026-01-04T11:00:53.482609,Politics,1989,\"[\"\"design\"\", \"\"line\"\", \"\"sort\"\"]\",3625\r\nART-4963325,Timothy Jordan,Deal hit would agreement remember work drive wife. You offer so account mention Democrat probably st,Synergized 5thgeneration groupware,2026-01-01T13:44:18.218168,Sports,4463,\"[\"\"phone\"\", \"\"foreign\"\", \"\"subject\"\", \"\"today\"\"]\",56843\r\nART-8536929,Valerie Lowery,Eat foot believe option organization anything cost. Western agent follow management. Movie let like ,Configurable zero tolerance framework,2026-01-04T10:23:39.712194,Politics,4316,\"[\"\"station\"\", \"\"item\"\", \"\"sometimes\"\", \"\"later\"\", \"\"know\"\"]\",61348\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2022</period>\n<total_revenue>6033804</total_revenue>\n<units_sold>27183</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>4147239</revenue>\n<growth>40.37</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2663137</revenue>\n<growth>9.96</growth>\n</channels>\n<top_products>\n<sku>SKU-2538</sku>\n<sales>420940</sales>\n</top_products>\n<top_products>\n<sku>SKU-8680</sku>\n<sales>364206</sales>\n</top_products>\n<top_products>\n<sku>SKU-2062</sku>\n<sales>350623</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Modern daughter response although. Role contain very learn. Investment and management wear.\nGlass le\",,2026-01-02,99,,,,PROD-713269,1,REV-7290086,,,,,Grow level bag act.,de3be608-7ef8-4e8f-854a-d67fef633a95,True\r\nelectronics,,USD,,,True,Open-source disintermediate info-mediaries,343.55,PROD-565472,2.69,,624,79x65x12cm,18.08,12,,,\r\nbooks,,USD,,,True,Multi-tiered interactive portal,502.37,PROD-720738,3.37,,302,83x41x46cm,34.63,604,,,\r\nelectronics,,USD,,,True,Devolved zero tolerance service-desk,600.85,PROD-879114,1.59,,377,56x68x11cm,19.63,944,,,\r\nbooks,,USD,,,True,Switchable optimal orchestration,22.46,PROD-278548,4.56,,316,17x13x69cm,41.25,796,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3022361</rx_id>\n<patient_mrn>MRN-726192</patient_mrn>\n<prescriber>Jessica Warner</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3022361\",\n  \"patient_mrn\": \"MRN-726192\",\n  \"prescriber\": \"Jessica Warner\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-879460\"\nstudent_id = \"STU-948921\"\ncourse_id = \"CRS-8763\"\ntype = \"quiz\"\ndate = \"2026-01-03\"\ntotal_score = 83\npercentage = 96.07\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Business-focused context-sensitive task-force API\"\nversion = \"1.0.0\"\n\n[paths.\"/media\".get]\nsummary = \"Nature though indicate nothing.\"\n[[paths.\"/media\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/media\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/media\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4466987\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K25\"\n\n[patient]\nmrn = \"MRN-766590\"\nage = 87\ngender = \"F\"\n\n[vitals]\nbp = \"147/66\"\nhr = 72\ntemp_f = 101.1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2063\"\ncode = \"FAH301\"\ntitle = \"Ameliorated zero administration productivity 101\"\ninstructor = \"Aaron Bailey\"\ncredits = 4\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"health\"\n\n[[schedule]]\nweek = 2\ntopic = \"buy\"\n\n[[schedule]]\nweek = 3\ntopic = \"conference\"\n\n[[schedule]]\nweek = 4\ntopic = \"late\"\n\n[[schedule]]\nweek = 5\ntopic = \"fear\"\n\n[[schedule]]\nweek = 6\ntopic = \"ability\"\n\n[[schedule]]\nweek = 7\ntopic = \"control\"\n\n[[schedule]]\nweek = 8\ntopic = \"choose\"\n\n[[schedule]]\nweek = 9\ntopic = \"measure\"\n\n[[schedule]]\nweek = 10\ntopic = \"social\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Silva, Bridges and Hill\",8.4,59631905,26.24,22.76,10810625,Q4 2022,79952365,OTMC\r\n\"Foster, Jordan and Pittman\",3.75,4715610,26.85,15.03,18210975,Q4 2024,90275617,PPFT\r\nRoberts-Garcia,4.23,26761411,23.12,19.74,14112490,Q3 2021,58066491,IKIN\r\nVargas-Tucker,6.81,33008067,17.04,19.33,14331436,Q4 2024,26207342,UGGX\r\nSerrano-Rogers,8.15,20343320,5.5,24.63,1200287,Q1 2023,78136260,IMGS\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-118337\"\nstudent_id = \"STU-998354\"\ncourse_id = \"CRS-1074\"\ntype = \"quiz\"\ndate = \"2026-01-03\"\ntotal_score = 69\npercentage = 82.29\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 10\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-78635818\"\nplatform = \"facebook\"\nuser_id = \"a739269a-9642-463c-9c88-cb97c795c8d8\"\nusername = \"kevin10\"\ncontent = \"Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.\"\ntimestamp = \"2026-01-07T13:51:25.965362\"\nhashtags = [ \"#model\", \"#firm\",]\n\n[engagement]\nlikes = 3831\nshares = 379\ncomments = 204\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-874142\"\ntitle = \"Effect of chair on some\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 33.04\nendpoint = 58.85\np_value = 0.0602\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 62.44\nendpoint = 82.26\np_value = 0.0527\n\n[[results]]\nmetric = \"safety\"\nbaseline = 53.86\nendpoint = 18.78\np_value = 0.314\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 379\nduration_days = 91\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate customer review data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-1521978\"\nproduct_id = \"PROD-894495\"\nuser_id = \"0e93d4dc-0d39-4af2-8ec3-d8d1250011b9\"\nrating = 4\ntitle = \"Great how data open such.\"\ncontent = \"City not either situation all along might. Under could expect build member. Fish ready onto white majority.\"\ndate = \"2026-01-05\"\nverified_purchase = false\nhelpful_votes = 57\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.48279\ntitle: Operative systemic definition\nauthors:\n- name: Patricia Owens\n  affiliation: Pearson, Quinn and Owens\n  email: christopher41@example.net\n- name: Wayne Boyd\n  affiliation: Delacruz-Weaver\n  email: powens@example.net\n- name: Christopher Castillo\n  affiliation: Lawrence-Caldwell\n  email: amandacarey@example.com\nabstract: Tv wear teacher under doctor. Eight mention month argue amount how voice.\nkeywords:\n- month\n- southern\n- administration\npublication:\n  venue: Cell\n  year: 2021\n  doi: 10.1648/XIrv\ncitations: 167\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Reactive exuding frame API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/second\": {\n      \"get\": {\n        \"summary\": \"Life century work throughout however miss another.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Re-engineered mobile superstructure API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/benefit\": {\n      \"get\": {\n        \"summary\": \"Chair media space recognize doctor would second me\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Re-engineered mobile superstructure API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</benefit>\n<get>\n<summary>Chair media space recognize doctor would second me</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//benefit>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need news article details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8547425,Ronald Stuart,\"Kid skin community its though avoid can.\nAhead wall investment white. Series social decide agency ot\",Ergonomic didactic hierarchy,2026-01-04T09:09:33.640608,Tech,1196,\"[\"\"sea\"\", \"\"everyone\"\", \"\"national\"\", \"\"once\"\"]\",85510\r\nART-7527213,Steven Walker,\"Now others kitchen three find. Job management center wide specific fill writer.\nReflect career news \",Compatible secondary infrastructure,2026-01-01T09:44:40.589864,Politics,1516,\"[\"\"fall\"\", \"\"attorney\"\", \"\"sell\"\", \"\"weight\"\", \"\"attention\"\"]\",36640\r\nART-8808942,Jennifer Taylor,Something customer manager factor visit tax. Run think city national similar opportunity. Unit singl,Synchronized systematic product,2026-01-05T07:06:08.981356,Tech,3024,\"[\"\"reason\"\", \"\"me\"\", \"\"specific\"\", \"\"base\"\"]\",82411\r\nART-9661683,Kyle Williams,Occur area kind day reveal feel identify career. Road general idea wonder member. Notice week thank ,Vision-oriented radical orchestration,2026-01-02T05:02:53.757437,Tech,2136,\"[\"\"hit\"\", \"\"figure\"\", \"\"particularly\"\", \"\"successful\"\"]\",76905\r\nART-9324378,Cathy Wilson,Explain near capital walk it marriage never same. Check yard daughter issue hot act. Truth take beau,Implemented hybrid infrastructure,2026-01-06T06:04:20.595973,Tech,2395,\"[\"\"out\"\", \"\"analysis\"\", \"\"likely\"\"]\",39024\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8331\"\ncredits = 3\ninstructor = \"James Castillo\"\n[[schedule]]\nweek = 1\ntopic = \"create\"\n\n[[schedule]]\nweek = 2\ntopic = \"should\"\n\n[[schedule]]\nweek = 3\ntopic = \"within\"\n\n[[schedule]]\nweek = 4\ntopic = \"computer\"\n\n[[schedule]]\nweek = 5\ntopic = \"interest\"\n\n[[schedule]]\nweek = 6\ntopic = \"loss\"\n\n[[schedule]]\nweek = 7\ntopic = \"this\"\n\n[[schedule]]\nweek = 8\ntopic = \"walk\"\n\n[[schedule]]\nweek = 9\ntopic = \"girl\"\n\n[[schedule]]\nweek = 10\ntopic = \"without\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-7317178,Judy Garner,\"Cover whole myself late last month authority. Make away choose difficult.\nShoulder so support like l\",Sharable 5thgeneration framework,2026-01-07T07:35:28.380949,Politics,2480,\"[\"\"cover\"\", \"\"people\"\", \"\"available\"\", \"\"above\"\", \"\"service\"\"]\",84087\r\nART-4025776,Marissa Kennedy,\"Board standard any blue gun service majority. Why join young significant event trouble.\nUs between d\",Sharable dedicated concept,2026-01-05T18:08:58.149402,Business,850,\"[\"\"summer\"\", \"\"wait\"\", \"\"very\"\"]\",86681\r\nART-6766984,Miranda Reyes,\"Then receive audience very begin plant the. At like age coach discuss modern than.\nExample all want \",Advanced zero-defect parallelism,2026-01-04T13:00:56.531845,Sports,622,\"[\"\"major\"\", \"\"mission\"\", \"\"beyond\"\"]\",55380\r\nART-1099587,Nancy Ochoa,Executive kitchen hundred box music deal development public. Perhaps after game option. A decide Rep,Total user-facing info-mediaries,2026-01-05T10:42:32.416088,Sports,4540,\"[\"\"true\"\", \"\"remain\"\", \"\"less\"\", \"\"meet\"\"]\",81698\r\nART-1183727,Stephanie Cross MD,\"Near city especially. Open eat kitchen meet act. Trial six too remain.\nEnough those this never forwa\",Focused logistical emulation,2026-01-06T11:34:26.139234,Politics,2118,\"[\"\"total\"\", \"\"myself\"\", \"\"very\"\", \"\"little\"\", \"\"check\"\"]\",83589\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Cross-platform client-server attitude,875.12,PROD-308726,1.18,705,78x81x41cm,37.34,161\r\nelectronics,USD,True,Optional 6thgeneration database,49.59,PROD-560709,2.49,504,80x90x48cm,28.59,652\r\nbooks,USD,True,Quality-focused static flexibility,839.79,PROD-850153,2.25,163,47x46x71cm,9.98,547\r\nclothing,USD,True,Distributed clear-thinking Graphical User Interface,178.27,PROD-529951,4.22,331,78x75x35cm,17.79,58\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need prescription details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-543750,Alexandra Klein,RX-7484434\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-273689,Kenneth Villegas,RX-9243292\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-616374,Andrew Swanson,RX-1826403\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-866102,Joseph Austin,RX-8775742\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-545595,Susan Boone,RX-8967795\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-4827299\",\n  \"patient_mrn\": \"MRN-871984\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 156.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 186.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 134.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 64.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4827299</result_id>\n<patient_mrn>MRN-871984</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>156.4</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>186.0</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>134.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>64.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-20150897</post_id>\n<platform>instagram</platform>\n<user_id>ace3958f-4578-4576-9236-9cbfc1f62953</user_id>\n<username>spatrick</username>\n<content>About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\nCertain miss girl different both wife. Blood relationship if model.</content>\n<timestamp>2026-01-07T13:51:25.995017</timestamp>\n<hashtags>#share</hashtags>\n<hashtags>#prevent</hashtags>\n<hashtags>#entire</hashtags>\n<hashtags>#owner</hashtags>\n<engagement>\n<likes>3129</likes>\n<shares>891</shares>\n<comments>28</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-20150897\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ace3958f-4578-4576-9236-9cbfc1f62953\",\n  \"username\": \"spatrick\",\n  \"content\": \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\",\n  \"timestamp\": \"2026-01-07T13:51:25.995017\",\n  \"hashtags\": [\n    \"#share\",\n    \"#prevent\",\n    \"#entire\",\n    \"#owner\"\n  ],\n  \"engagement\": {\n    \"likes\": 3129,\n    \"shares\": 891,\n    \"comments\": 28\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1579503,Regina Barnes,\"Budget impact skill young. Certain measure brother.\nArea idea collection establish accept wish. Skil\",Profit-focused secondary synergy,2026-01-04T05:12:00.131795,Politics,1458,\"[\"\"run\"\", \"\"occur\"\", \"\"expect\"\"]\",26035\r\nART-5075423,Martha Bryan,Either yourself media group strategy. Win that force mouth. Blood grow financial position board admi,Monitored intermediate structure,2026-01-01T18:28:26.444458,Politics,3801,\"[\"\"tell\"\", \"\"treatment\"\", \"\"way\"\"]\",70867\r\nART-3350283,Amanda Berry,Never station investment product international certain difficult. First source message analysis. Whi,Sharable cohesive definition,2026-01-04T03:02:03.549439,Business,2894,\"[\"\"allow\"\", \"\"field\"\", \"\"million\"\", \"\"social\"\"]\",49820\r\nART-3765084,Kenneth Edwards,\"Parent themselves somebody girl sign with same. Organization adult red entire too heart.\nEat true si\",Grass-roots zero tolerance hub,2026-01-01T06:24:17.203993,Politics,2782,\"[\"\"himself\"\", \"\"son\"\", \"\"anything\"\", \"\"low\"\", \"\"whose\"\"]\",3128\r\nART-9933235,Brian Ellis,\"Owner change adult staff. Card similar move piece less ahead scene.\nCulture generation skill account\",Fundamental client-driven projection,2026-01-02T16:38:59.337308,Sports,1540,\"[\"\"Democrat\"\", \"\"toward\"\", \"\"itself\"\"]\",1330\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-500587\",\n  \"title\": \"Effect of seem on put\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 806,\n    \"duration_days\": 332\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 59.15,\n      \"endpoint\": 80.7,\n      \"p_value\": 0.0751\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 25.67,\n      \"endpoint\": 99.48,\n      \"p_value\": 0.1142\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 72.29,\n      \"endpoint\": 18.69,\n      \"p_value\": 0.2768\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 16.24,\n      \"endpoint\": 94.98,\n      \"p_value\": 0.315\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-500587</experiment_id>\n<title>Effect of seem on put</title>\n<methodology>\n<design>cohort</design>\n<sample_size>806</sample_size>\n<duration_days>332</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>59.15</baseline>\n<endpoint>80.7</endpoint>\n<p_value>0.0751</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>25.67</baseline>\n<endpoint>99.48</endpoint>\n<p_value>0.1142</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>72.29</baseline>\n<endpoint>18.69</endpoint>\n<p_value>0.2768</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>16.24</baseline>\n<endpoint>94.98</endpoint>\n<p_value>0.315</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-30876983\",\n  \"customer_id\": \"b5aca191-66fe-49e0-85ce-2d363d5ef454\",\n  \"timestamp\": \"2026-01-07T13:51:26.163076\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-56664\",\n      \"qty\": 2,\n      \"price\": 285.83\n    },\n    {\n      \"sku\": \"SKU-25305\",\n      \"qty\": 1,\n      \"price\": 45.15\n    },\n    {\n      \"sku\": \"SKU-78820\",\n      \"qty\": 4,\n      \"price\": 47.49\n    }\n  ],\n  \"subtotal\": 199.93,\n  \"tax\": 118.13,\n  \"total\": 913.78,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\nperiod = \"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", "content": "Approach:\n1. Task: Convert sales analytics from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>7500818</total_revenue>\n<units_sold>73950</units_sold>\n<channels>\n<name>retail</name>\n<revenue>528123</revenue>\n<growth>12.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1160273</revenue>\n<growth>23.93</growth>\n</channels>\n<top_products>\n<sku>SKU-6153</sku>\n<sales>328911</sales>\n</top_products>\n<top_products>\n<sku>SKU-4483</sku>\n<sales>21251</sales>\n</top_products>\n<top_products>\n<sku>SKU-5114</sku>\n<sales>21486</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"post_id\": \"POST-58559815\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"0fae79ab-dabb-47f5-823b-f22743181c7c\",\n  \"username\": \"ortizkristina\",\n  \"content\": \"Speech can sea play. Season near story animal remain.\\nOff present vote wall. Society know family build. Certain thing live rise.\",\n  \"timestamp\": \"2026-01-07T13:51:26.463560\",\n  \"hashtags\": [\n    \"#once\",\n    \"#it\",\n    \"#rich\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 248,\n    \"shares\": 32,\n    \"comments\": 161\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Speech can sea play. Season near story animal remain.\nOff present vote wall. Society know family bui\",161,248,32,\"[\"\"#once\"\", \"\"#it\"\", \"\"#rich\"\", \"\"#keep\"\"]\",instagram,POST-58559815,2026-01-07T13:51:26.463560,0fae79ab-dabb-47f5-823b-f22743181c7c,ortizkristina\r\n\"Among use blue fight meet those. Reality all throughout. One nice truth safe pressure several fly.\nR\",450,882,978,\"[\"\"#cost\"\", \"\"#job\"\", \"\"#talk\"\"]\",twitter,POST-72886555,2026-01-07T13:51:26.467512,97ba13e5-1ec0-415f-b3eb-2f5cd81d708a,zacharyjordan\r\nWorry maintain person feel it democratic. Condition assume production culture color project become. ,14,9933,194,\"[\"\"#former\"\", \"\"#trouble\"\", \"\"#far\"\", \"\"#study\"\"]\",twitter,POST-79392862,2026-01-07T13:51:26.468030,6d11a1c8-b6ec-4a7b-8016-55807702679d,scottjocelyn\r\nStep return month whole form total eat. To president them in after too. Professional voice space dif,206,9100,788,\"[\"\"#back\"\", \"\"#require\"\"]\",instagram,POST-10232040,2026-01-07T13:51:26.468566,219e9fa0-b436-41e2-bb64-5faf85a36a6c,toneal\r\nSee accept day. Peace these page group professor. Someone avoid always instead above Congress.,182,1364,598,\"[\"\"#movement\"\", \"\"#fire\"\", \"\"#end\"\", \"\"#machine\"\"]\",instagram,POST-82172316,2026-01-07T13:51:26.469008,6c2e7956-555d-4883-8b1f-01825c8ce563,david90\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,North describe old attention usually third. Important wish security ago somebody remain everyone mod,,2026-01-04,34,,,,PROD-452864,3,REV-9982202,,,,,Example center fill free.,015289de-7f3e-45e2-b1d0-7fe22aff92a9,False\r\nbooks,,USD,,,True,Open-source uniform capability,301.27,PROD-318199,4.66,,24,81x14x96cm,40.6,54,,,\r\nbooks,,USD,,,True,Reactive 4thgeneration contingency,189.15,PROD-546709,3.83,,865,33x54x28cm,22.27,209,,,\r\nbooks,,USD,,,True,Cross-platform grid-enabled leverage,653.55,PROD-287286,3.19,,34,64x17x56cm,47.51,891,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-464030\"\neffective_date = \"2026-01-06\"\nterm_months = 35\nvalue = 994957\nstatus = \"active\"\n[[parties]]\nname = \"Morales, Williams and Williams\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Ward-Miller\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"June 2020\",\n  \"total_revenue\": 2603625,\n  \"units_sold\": 51574,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1926384,\n      \"growth\": 34.29\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1062444,\n      \"growth\": -1.99\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3818\",\n      \"sales\": 48786\n    },\n    {\n      \"sku\": \"SKU-7605\",\n      \"sales\": 408187\n    },\n    {\n      \"sku\": \"SKU-6728\",\n      \"sales\": 223732\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,effective_date,funding_source,keywords,paper_id,parties,publication_doi,publication_venue,publication_year,term_months,title,value\r\n,,,2026-01-05,,,,\"[{\"\"name\"\": \"\"Hart-Villanueva\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Roberts Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",,,,33,,95653\r\n\"Their tend build gas spring blood man short.\nListen perhaps institution career case.\nReach left prof\",\"[{\"\"name\"\": \"\"Shannon Lee\"\", \"\"affiliation\"\": \"\"Johns-Parker\"\", \"\"email\"\": \"\"marquezapril@example.org\"\"}, {\"\"name\",1,,Clark PLC,\"[\"\"base\"\", \"\"week\"\", \"\"soldier\"\", \"\"go\"\", \"\"policy\"\"]\",arXiv:2023.75547,,10.4080/LbDF,Nature,2023,,Distributed multi-state standardization,\r\n\"Fire for worry night natural. Table people possible appear.\nRed want fall fill. Election somebody tw\",\"[{\"\"name\"\": \"\"Denise West\"\", \"\"affiliation\"\": \"\"Bonilla PLC\"\", \"\"email\"\": \"\"williamsmichael@example.net\"\"}, {\"\"na\",227,,None,\"[\"\"glass\"\", \"\"value\"\", \"\"me\"\", \"\"its\"\"]\",arXiv:2023.46555,,10.3610/ujqA,Cell,2020,,Ergonomic executive Internet solution,\r\nDifficult turn morning message TV job. Relationship floor tonight politics whether lot edge. Affect ,\"[{\"\"name\"\": \"\"Barbara Lewis\"\", \"\"affiliation\"\": \"\"Robles-Mcfarland\"\", \"\"email\"\": \"\"callahanamy@example.net\"\"}, {\",31,,None,\"[\"\"team\"\", \"\"each\"\", \"\"great\"\", \"\"day\"\"]\",arXiv:2024.30502,,10.1960/MuGR,Nature,2024,,Ergonomic scalable architecture,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-30876983</txn_id>\n<customer_id>b5aca191-66fe-49e0-85ce-2d363d5ef454</customer_id>\n<timestamp>2026-01-07T13:51:26.163076</timestamp>\n<items>\n<sku>SKU-56664</sku>\n<qty>2</qty>\n<price>285.83</price>\n</items>\n<items>\n<sku>SKU-25305</sku>\n<qty>1</qty>\n<price>45.15</price>\n</items>\n<items>\n<sku>SKU-78820</sku>\n<qty>4</qty>\n<price>47.49</price>\n</items>\n<subtotal>199.93</subtotal>\n<tax>118.13</tax>\n<total>913.78</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,helpful_votes,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title,user_id,verified_purchase\r\n,,,2026-01-01,,29,,,,,,2,,ed843147-0604-46c9-98b2-def8aa0c8a20,True\r\nBank class likely best. Act describe cut support finally clearly.,\"[{\"\"name\"\": \"\"Stephen Cochran\"\", \"\"affiliation\"\": \"\"Joyce-Murphy\"\", \"\"email\"\": \"\"leezachary@example.net\"\"}, {\"\"na\",273,,None,,\"[\"\"new\"\", \"\"break\"\", \"\"act\"\"]\",arXiv:2020.35826,10.4911/gceR,Science,2022,,Self-enabling zero-defect capability,,\r\nTraining participant represent major within figure. Small full pull new education after every.,\"[{\"\"name\"\": \"\"Matthew Caldwell\"\", \"\"affiliation\"\": \"\"Armstrong-Warren\"\", \"\"email\"\": \"\"lmorgan@example.net\"\"}, {\"\"\",172,,None,,\"[\"\"yet\"\", \"\"degree\"\", \"\"administration\"\", \"\"make\"\", \"\"suffer\"\"]\",arXiv:2022.46159,10.6550/sdLM,Nature,2024,,Face-to-face asynchronous methodology,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-210763\nname: Team-oriented grid-enabled support\ncategory: clothing\nprice: 360.14\ncurrency: USD\nstock: 657\nis_available: true\nrating: 3.34\nreviews: 923\nspecs:\n  weight_kg: 14.15\n  dimensions: 28x80x26cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8332f894-7969-41dc-b41e-1d31b796cba0</error_id>\n<timestamp>2026-01-07T13:51:27.125156</timestamp>\n<level>CRITICAL</level>\n<service>imageService</service>\n<message>Bad prepare able heavy morning.</message>\n<stack_trace>at property.py:50</stack_trace>\n<stack_trace>at short.py:272</stack_trace>\n<context>\n<user_id>a3de195f-baae-4936-bd72-230b1e266327</user_id>\n<request_id>35eb846c-1e2f-4451-a60f-b8ee42943a10</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Down-sized exuding Graphical User Interface API\"\nversion = \"1.0.0\"\n\n[paths.\"/couple\".get]\nsummary = \"Into station different natural professor.\"\n[[paths.\"/couple\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/couple\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/couple\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/couple\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/couple\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-3948\ncode: CSZ142\ntitle: Intuitive foreground functionalities 101\ninstructor: Robert Carter\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: manage\n- week: 2\n  topic: catch\n- week: 3\n  topic: people\n- week: 4\n  topic: out\n- week: 5\n  topic: story\n- week: 6\n  topic: share\n- week: 7\n  topic: become\n- week: 8\n  topic: part\n- week: 9\n  topic: cell\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nMUR206,CRS-4085,3,40,30,30,Tyler Koch,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"amount\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"actually\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"light\"\"}, {\"\"\",Fall 2021,Intuitive composite secured line 101\r\nGOV482,CRS-9479,4,40,30,30,Justin Levine,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"war\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"look\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ground\"\"}, {\"\"week\"\":\",Spring 2023,Horizontal dynamic infrastructure 101\r\nCLI352,CRS-9294,3,40,30,30,Matthew Fox,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"campaign\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"step\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"happen\"\"}, {\"\"w\",Spring 2023,Intuitive holistic toolset 101\r\nZXI156,CRS-1484,4,40,30,30,Laura Aguilar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"traditional\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"school\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"teacher\"\"\",Spring 2020,Upgradable static emulation 101\r\nKQW380,CRS-8248,4,40,30,30,Dennis Osborn,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"reality\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"discussion\"\"}, {\"\"\",Spring 2022,Ergonomic high-level parallelism 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2020\ntotal_revenue: 2665677\nunits_sold: 40417\nchannels:\n- name: retail\n  revenue: 1595694\n  growth: -2.61\n- name: online\n  revenue: 1130127\n  growth: 2.75\ntop_products:\n- sku: SKU-3399\n  sales: 106076\n- sku: SKU-5942\n  sales: 279633\n- sku: SKU-6750\n  sales: 238117\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate financial report data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Eaton, Mccarty and Lopez\",4.82,75330506,29.61,8.93,13309525,Q3 2021,46227283,OWKB\r\nFinley Ltd,7.61,67107658,28.73,17.77,10478107,Q2 2024,23670046,CNNM\r\nDickerson Group,7.93,70864690,17.87,20.07,19355080,Q2 2024,80156173,RXIB\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate experiment result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-500587</experiment_id>\n<title>Effect of seem on put</title>\n<methodology>\n<design>cohort</design>\n<sample_size>806</sample_size>\n<duration_days>332</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>59.15</baseline>\n<endpoint>80.7</endpoint>\n<p_value>0.0751</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>25.67</baseline>\n<endpoint>99.48</endpoint>\n<p_value>0.1142</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>72.29</baseline>\n<endpoint>18.69</endpoint>\n<p_value>0.2768</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>16.24</baseline>\n<endpoint>94.98</endpoint>\n<p_value>0.315</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"article_id\": \"ART-6846954\",\n  \"headline\": \"Triple-buffered intangible knowledgebase\",\n  \"author\": \"Steven Burgess\",\n  \"published\": \"2026-01-02T13:52:55.283034\",\n  \"section\": \"Politics\",\n  \"content\": \"Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.\",\n  \"tags\": [\n    \"couple\",\n    \"specific\",\n    \"him\"\n  ],\n  \"views\": 35509,\n  \"shares\": 3662\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id = \"ART-6846954\"\nheadline = \"Triple-buffered intangible knowledgebase\"\nauthor = \"Steven Burgess\"\npublished = \"2026-01-02T13:52:55.283034\"\nsection = \"Politics\"\ncontent = \"Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.\"\ntags = [ \"couple\", \"specific\", \"him\",]\nviews = 35509\nshares = 3662\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-871992,,CRS-5865,,2026-01-05,B,,,,,70.57,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-916232,,,83,quiz\r\n,KKE147,CRS-2056,4,,,40,30,30,Mary Blanchard,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"particular\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"him\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"war\"\"}, {\"\"wee\",,,Fall 2020,Right-sized interactive workforce 101,,\r\n,VJM346,CRS-9407,4,,,40,30,30,Tony Johnson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"but\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"difference\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"final\"\"}, {\"\"w\",,,Fall 2020,Operative empowering moderator 101,,\r\n,ZVR422,CRS-7767,3,,,40,30,30,Andrea Lynch,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"tough\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"attention\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"provide\"\"}, \",,,Fall 2021,Reactive zero-defect instruction set 101,,\r\n,PNM488,CRS-9779,3,,,40,30,30,Cynthia Chapman,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"development\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"space\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"customer\"\"\",,,Spring 2020,Balanced content-based software 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>April 2020</period>\n<total_revenue>1914989</total_revenue>\n<units_sold>47758</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3617590</revenue>\n<growth>20.48</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>654207</revenue>\n<growth>24.4</growth>\n</channels>\n<top_products>\n<sku>SKU-4328</sku>\n<sales>466200</sales>\n</top_products>\n<top_products>\n<sku>SKU-2589</sku>\n<sales>244105</sales>\n</top_products>\n<top_products>\n<sku>SKU-7725</sku>\n<sales>25778</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"April 2020\",\n  \"total_revenue\": 1914989,\n  \"units_sold\": 47758,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3617590,\n      \"growth\": 20.48\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 654207,\n      \"growth\": 24.4\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4328\",\n      \"sales\": 466200\n    },\n    {\n      \"sku\": \"SKU-2589\",\n      \"sales\": 244105\n    },\n    {\n      \"sku\": \"SKU-7725\",\n      \"sales\": 25778\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<vitals>\n<bp>97/107</bp>\n<hr>107</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<patient>\n<mrn>MRN-705297</mrn>\n<age>67</age>\n<gender>F</gender>\n</patient>\n<chief_complaint>chest pain</chief_complaint>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K41</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J91</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J64</icd10>\n</assessment>\n<note_id>CN-6154695</note_id>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6709459</note_id>\n<patient>\n<mrn>MRN-104418</mrn>\n<age>50</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>143/96</bp>\n<hr>69</hr>\n<temp_f>101.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J90</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I22</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K97</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output contract as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-784600\",\n  \"parties\": [\n    {\n      \"name\": \"Snyder-Thornton\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Oliver Group\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 16,\n  \"value\": 53888,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nterm_months = 33\neffective_date = \"2026-01-05\"\nvalue = 95653\n[[parties]]\nname = \"Hart-Villanueva\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Roberts Ltd\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: May 2020\ntotal_revenue: 534039\nunits_sold: 34851\nchannels:\n- name: retail\n  revenue: 707158\n  growth: 43.16\n- name: wholesale\n  revenue: 2548868\n  growth: 26.24\ntop_products:\n- sku: SKU-6020\n  sales: 18280\n- sku: SKU-3349\n  sales: 458703\n- sku: SKU-8781\n  sales: 265385\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Synchronized holistic archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</policy>\n<get>\n<summary>Red reason present loss yeah run.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//policy>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n14254338-25f4-4277-b03d-bd2ea5abeebf,\"[{\"\"sku\"\": \"\"SKU-48101\"\", \"\"qty\"\": 3, \"\"price\"\": 477.41}, {\"\"sku\"\": \"\"SKU-81893\"\", \"\"qty\"\": 4, \"\"price\"\": 35.53}, {\"\"\",paypal,392.27,108.31,2026-01-06T09:43:34.863603,1654.0,TXN-77634261\r\nf3d3bd9b-abb2-4e43-968a-a6eec2de7207,\"[{\"\"sku\"\": \"\"SKU-49036\"\", \"\"qty\"\": 4, \"\"price\"\": 334.32}, {\"\"sku\"\": \"\"SKU-84668\"\", \"\"qty\"\": 2, \"\"price\"\": 203.48}, {\",paypal,1350.72,88.23,2026-01-06T09:43:34.869869,698.19,TXN-62203704\r\nca52469a-cc96-4fd9-bd9f-4275c1fd9d64,\"[{\"\"sku\"\": \"\"SKU-85246\"\", \"\"qty\"\": 5, \"\"price\"\": 276.99}]\",credit_card,688.94,110.67,2026-01-06T09:43:34.870023,1607.17,TXN-17234734\r\nb38de935-82f9-4a98-9a1b-75c9103102b6,\"[{\"\"sku\"\": \"\"SKU-67931\"\", \"\"qty\"\": 4, \"\"price\"\": 492.88}, {\"\"sku\"\": \"\"SKU-74750\"\", \"\"qty\"\": 4, \"\"price\"\": 101.58}, {\",apple_pay,785.19,8.38,2026-01-06T09:43:34.870104,472.15,TXN-66754773\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-39452168\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"ca270bc8-d443-4389-880a-6fc8dd3e9fa5\",\n  \"username\": \"robertowens\",\n  \"content\": \"With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\\nFactor even apply how three box light.\",\n  \"timestamp\": \"2026-01-07T13:51:25.425211\",\n  \"hashtags\": [\n    \"#training\",\n    \"#Democrat\",\n    \"#pattern\",\n    \"#discover\"\n  ],\n  \"engagement\": {\n    \"likes\": 5319,\n    \"shares\": 573,\n    \"comments\": 283\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39452168</post_id>\n<platform>twitter</platform>\n<user_id>ca270bc8-d443-4389-880a-6fc8dd3e9fa5</user_id>\n<username>robertowens</username>\n<content>With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\nFactor even apply how three box light.</content>\n<timestamp>2026-01-07T13:51:25.425211</timestamp>\n<hashtags>#training</hashtags>\n<hashtags>#Democrat</hashtags>\n<hashtags>#pattern</hashtags>\n<hashtags>#discover</hashtags>\n<engagement>\n<likes>5319</likes>\n<shares>573</shares>\n<comments>283</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"company\": \"Scott-Campbell\",\n  \"ticker\": \"SZQB\",\n  \"quarter\": \"Q2 2021\",\n  \"revenue\": 15063505,\n  \"expenses\": 40738667,\n  \"net_income\": 16626814,\n  \"eps\": 6.47,\n  \"metrics\": {\n    \"profit_margin\": 15.92,\n    \"roe\": 8.35\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Scott-Campbell</company>\n<ticker>SZQB</ticker>\n<quarter>Q2 2021</quarter>\n<revenue>15063505</revenue>\n<expenses>40738667</expenses>\n<net_income>16626814</net_income>\n<eps>6.47</eps>\n<metrics>\n<profit_margin>15.92</profit_margin>\n<roe>8.35</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-734376\ntitle: Effect of probably on skin\nmethodology:\n  design: cohort\n  sample_size: 800\n  duration_days: 273\nresults:\n- metric: efficacy\n  baseline: 94.92\n  endpoint: 99.12\n  p_value: 0.3163\n- metric: safety\n  baseline: 43.8\n  endpoint: 81.58\n  p_value: 0.1627\n- metric: efficacy\n  baseline: 31.59\n  endpoint: 36.02\n  p_value: 0.4619\n- metric: efficacy\n  baseline: 82.54\n  endpoint: 59.85\n  p_value: 0.3654\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-986141\nname: Focused neutral encoding\ncategory: books\nprice: 14.45\ncurrency: USD\nstock: 826\nis_available: true\nrating: 4.59\nreviews: 564\nspecs:\n  weight_kg: 27.7\n  dimensions: 42x99x90cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9458448</rx_id>\n<patient_mrn>MRN-362998</patient_mrn>\n<prescriber>Courtney Hansen</prescriber>\n<date>2026-01-02</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9458448\",\n  \"patient_mrn\": \"MRN-362998\",\n  \"prescriber\": \"Courtney Hansen\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9178511,Gabrielle Daugherty,Lawyer might home mouth end so science. Hope attention strong public teach person beautiful though. ,Fully-configurable secondary access,2026-01-05T07:34:40.744934,Tech,778,\"[\"\"maybe\"\", \"\"glass\"\", \"\"election\"\", \"\"moment\"\"]\",24250\r\nART-5510591,Aaron West,Not probably ask attorney win whose mind. Stay reflect dream energy create opportunity. Fly knowledg,Intuitive actuating firmware,2026-01-06T02:25:18.496242,Tech,2289,\"[\"\"attention\"\", \"\"line\"\", \"\"above\"\", \"\"own\"\"]\",89480\r\nART-5889047,Natasha Foster,Various hold if series opportunity professor there. Minute toward Republican would. Including teach ,Upgradable contextually-based projection,2026-01-02T19:16:57.233655,Tech,3105,\"[\"\"particularly\"\", \"\"movement\"\", \"\"performance\"\", \"\"fire\"\"]\",51297\r\nART-4927455,David Jackson,Become decide institution exactly this ability war. Fight new ability himself language fear nor life,Phased dedicated analyzer,2026-01-07T03:12:14.114582,Politics,1717,\"[\"\"control\"\", \"\"firm\"\", \"\"animal\"\", \"\"strategy\"\", \"\"huge\"\"]\",70765\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-489062,cohort,250,352,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 22.73, \"\"endpoint\"\": 70.23, \"\"p_value\"\": 0.1729}, {\"\"metric\"\": \"\"safety\",Effect of least on reason\r\nnon-significant,EXP-729966,cohort,285,507,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.64, \"\"endpoint\"\": 52.32, \"\"p_value\"\": 0.0862}, {\"\"metric\"\": \"\"safety\",Effect of research on factor\r\nsignificant,EXP-373290,observational,331,916,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 28.56, \"\"endpoint\"\": 25.85, \"\"p_value\"\": 0.4065}, {\"\"metric\"\": \"\"effica\",Effect of democratic on serious\r\nsignificant,EXP-652897,RCT,45,205,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 89.03, \"\"endpoint\"\": 66.71, \"\"p_value\"\": 0.1268}, {\"\"metric\"\": \"\"safety\"\",\",Effect of wife on window\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 6503980,\n  \"units_sold\": 7670,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3279241,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1469640,\n      \"growth\": 16.07\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8081\",\n      \"sales\": 71747\n    },\n    {\n      \"sku\": \"SKU-8211\",\n      \"sales\": 475825\n    },\n    {\n      \"sku\": \"SKU-4565\",\n      \"sales\": 485553\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Character walk loss rock me social gun.\nCenter choice either push. Push stop yourself.\",,2026-01-01,26,,,,PROD-346187,1,REV-2575466,,,,,Possible modern last rate memory fight conference ,320eb87e-12bd-44ab-bb47-6fec45bd5144,False\r\nbooks,,USD,,,True,Universal attitude-oriented analyzer,97.08,PROD-498494,4.2,,9,54x51x43cm,45.83,876,,,\r\nbooks,,USD,,,True,Synergized eco-centric standardization,371.42,PROD-370975,4.89,,42,29x36x56cm,32.13,93,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate financial report data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Taylor Ltd</company>\n<ticker>AOED</ticker>\n<quarter>Q1 2024</quarter>\n<revenue>69752271</revenue>\n<expenses>52626087</expenses>\n<net_income>18580243</net_income>\n<eps>1.63</eps>\n<metrics>\n<profit_margin>23.4</profit_margin>\n<roe>21.22</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nStart generation professional education help while party rule. Major already drop reduce. Health fin,\"[{\"\"name\"\": \"\"Sarah Campbell\"\", \"\"affiliation\"\": \"\"Johnson PLC\"\", \"\"email\"\": \"\"wquinn@example.com\"\"}, {\"\"name\"\": \"\"\",352,Miller-Anderson,\"[\"\"listen\"\", \"\"generation\"\", \"\"level\"\", \"\"wrong\"\", \"\"guy\"\"]\",arXiv:2022.75151,10.4962/dRpb,Cell,2024,Right-sized exuding process improvement\r\nCompare cover family if pressure against ten. Yourself enough local.,\"[{\"\"name\"\": \"\"Joshua Duke\"\", \"\"affiliation\"\": \"\"Tran Ltd\"\", \"\"email\"\": \"\"wbeck@example.com\"\"}, {\"\"name\"\": \"\"Daniel \",383,None,\"[\"\"especially\"\", \"\"nearly\"\", \"\"run\"\", \"\"when\"\"]\",arXiv:2024.74427,10.6488/XoFD,Nature,2024,Automated grid-enabled framework\r\nDevelop generation quite land. Or according last make leave. Physical become too radio team until re,\"[{\"\"name\"\": \"\"Brendan Wheeler\"\", \"\"affiliation\"\": \"\"Ruiz-Jacobs\"\", \"\"email\"\": \"\"tommoore@example.org\"\"}, {\"\"name\"\"\",77,None,\"[\"\"investment\"\", \"\"conference\"\", \"\"city\"\", \"\"help\"\"]\",arXiv:2022.83068,10.4194/dvxN,Science,2020,Vision-oriented real-time open system\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-8855\ncode: DBP130\ntitle: Team-oriented 3rdgeneration implementation 101\ninstructor: Carl Davis\ncredits: 3\nterm: Fall 2024\nschedule:\n- week: 1\n  topic: manage\n- week: 2\n  topic: someone\n- week: 3\n  topic: bring\n- week: 4\n  topic: board\n- week: 5\n  topic: important\n- week: 6\n  topic: he\n- week: 7\n  topic: possible\n- week: 8\n  topic: office\n- week: 9\n  topic: board\n- week: 10\n  topic: drive\n- week: 11\n  topic: Mrs\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvasta\",MRN-930903,Troy Boyd,RX-6947725\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-421520,Angela Garcia,RX-5861223\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopr\",MRN-368712,Charles Williams,RX-9965849\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-193587,Yolanda Edwards,RX-9028106\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-761530,Tina Johnson,RX-3124669\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-361703\"\nname = \"Grass-roots methodical neural-net\"\ncategory = \"books\"\nprice = 156.58\ncurrency = \"USD\"\nstock = 3\nis_available = true\nrating = 3.73\nreviews = 915\n\n[specs]\nweight_kg = 25.41\ndimensions = \"90x40x81cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-877566,,CRS-6706,,2026-01-01,B,,,,,97.43,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 5, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-690678,,,52,assignment\r\n,MTQ118,CRS-7934,4,,,40,30,30,William Bell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"key\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"tree\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"agree\"\"}, {\"\"week\"\": \",,,Spring 2021,Expanded non-volatile pricing structure 101,,\r\n,RYL422,CRS-6268,3,,,40,30,30,Gilbert Gray,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"today\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"understand\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"describe\"\"}\",,,Spring 2024,Total even-keeled time-frame 101,,\r\n,NZE186,CRS-3860,3,,,40,30,30,Michelle Matthews,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"pressure\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"eye\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"control\"\"}, {\"\"w\",,,Fall 2021,Reverse-engineered content-based secured line 101,,\r\n,LYH231,CRS-1752,4,,,40,30,30,Megan Carter,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"way\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hear\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"type\"\"}, {\"\"week\"\": 4\",,,Fall 2022,Ergonomic discrete application 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 7af25ba6-3e63-43d5-89e6-c5a6b377b923\ntimestamp: '2026-01-07T13:51:26.975438'\nlevel: CRITICAL\nservice: downService\nmessage: Prevent true movie stop.\nstack_trace:\n- at hand.py:436\n- at whose.py:275\n- at information.py:57\n- at central.py:306\ncontext:\n  user_id: dc348ded-7e54-44aa-bfc8-75caf977ffdf\n  request_id: cc597ab0-ad26-419a-8cbb-1facc38a2f79\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Balanced static customer loyalty API\n  version: 1.0.0\npaths:\n  /stay:\n    get:\n      summary: Dog where production window window form hotel.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5709441\nhelpful_votes: 44\ncontent: Can drive next attention. Fly truth fire current least learn already. Wind\n  job very cut particular baby put.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3165\"\ncode = \"KHT173\"\ntitle = \"Inverse well-modulated open architecture 101\"\ninstructor = \"John Blair\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"social\"\n\n[[schedule]]\nweek = 2\ntopic = \"eight\"\n\n[[schedule]]\nweek = 3\ntopic = \"land\"\n\n[[schedule]]\nweek = 4\ntopic = \"personal\"\n\n[[schedule]]\nweek = 5\ntopic = \"ahead\"\n\n[[schedule]]\nweek = 6\ntopic = \"treatment\"\n\n[[schedule]]\nweek = 7\ntopic = \"goal\"\n\n[[schedule]]\nweek = 8\ntopic = \"fear\"\n\n[[schedule]]\nweek = 9\ntopic = \"learn\"\n\n[[schedule]]\nweek = 10\ntopic = \"animal\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-4888415\"\npatient_mrn = \"MRN-997875\"\nprescriber = \"Crystal Campbell\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from TOML to JSON:\nexperiment_id = \"EXP-690622\"\ntitle = \"Effect of drug on effect\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 65.65\nendpoint = 47.19\np_value = 0.4009\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 18.88\nendpoint = 49.79\np_value = 0.0184\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 32.37\nendpoint = 97.44\np_value = 0.3919\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 718\nduration_days = 247\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-690622\",\n  \"title\": \"Effect of drug on effect\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 718,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 65.65,\n      \"endpoint\": 47.19,\n      \"p_value\": 0.4009\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 18.88,\n      \"endpoint\": 49.79,\n      \"p_value\": 0.0184\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.37,\n      \"endpoint\": 97.44,\n      \"p_value\": 0.3919\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2024</period>\n<total_revenue>3108970</total_revenue>\n<units_sold>70292</units_sold>\n<channels>\n<name>online</name>\n<revenue>1867975</revenue>\n<growth>-2.95</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1947932</revenue>\n<growth>22.54</growth>\n</channels>\n<top_products>\n<sku>SKU-5409</sku>\n<sales>492017</sales>\n</top_products>\n<top_products>\n<sku>SKU-4816</sku>\n<sales>486050</sales>\n</top_products>\n<top_products>\n<sku>SKU-9957</sku>\n<sales>44038</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2024\",\n  \"total_revenue\": 3108970,\n  \"units_sold\": 70292,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1867975,\n      \"growth\": -2.95\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1947932,\n      \"growth\": 22.54\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5409\",\n      \"sales\": 492017\n    },\n    {\n      \"sku\": \"SKU-4816\",\n      \"sales\": 486050\n    },\n    {\n      \"sku\": \"SKU-9957\",\n      \"sales\": 44038\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Streamlined logistical help-desk API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/grow\": {\n      \"get\": {\n        \"summary\": \"Will entire deep source history.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate experiment result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-942720</experiment_id>\n<title>Effect of edge on when</title>\n<methodology>\n<design>cohort</design>\n<sample_size>645</sample_size>\n<duration_days>54</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>79.64</baseline>\n<endpoint>26.86</endpoint>\n<p_value>0.2863</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>55.57</baseline>\n<endpoint>59.78</endpoint>\n<p_value>0.1705</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>30.69</baseline>\n<endpoint>27.4</endpoint>\n<p_value>0.1116</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.07</baseline>\n<endpoint>35.79</endpoint>\n<p_value>0.1946</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<patient>\n<mrn>MRN-802088</mrn>\n<age>30</age>\n<gender>M</gender>\n</patient>\n<note_id>CN-3759937</note_id>\n<vitals>\n<bp>119/74</bp>\n<hr>67</hr>\n<temp_f>100.9</temp_f>\n</vitals>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"patient\": {\n    \"mrn\": \"MRN-802088\",\n    \"age\": 30,\n    \"gender\": \"M\"\n  },\n  \"note_id\": \"CN-3759937\",\n  \"vitals\": {\n    \"bp\": \"119/74\",\n    \"hr\": 67,\n    \"temp_f\": 100.9\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: October 2022\ntotal_revenue: 4790876\nunits_sold: 72609\nchannels:\n- name: retail\n  revenue: 1112533\n  growth: 2.85\n- name: wholesale\n  revenue: 3150615\n  growth: -3.34\ntop_products:\n- sku: SKU-7795\n  sales: 492045\n- sku: SKU-5231\n  sales: 195976\n- sku: SKU-5539\n  sales: 335045\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"article_id\": \"ART-8221745\",\n  \"headline\": \"Polarized zero administration support\",\n  \"author\": \"Maria Johnson\",\n  \"published\": \"2026-01-03T08:37:58.870132\",\n  \"section\": \"Business\",\n  \"content\": \"Would movement white military what them cup. Available remember control staff. None mean hundred PM.\\nImprove wear produce price according. He method market computer TV strategy.\\nBody into language. Which other hear they look some option.\",\n  \"tags\": [\n    \"environment\",\n    \"name\",\n    \"receive\",\n    \"happen\",\n    \"join\"\n  ],\n  \"views\": 46852,\n  \"shares\": 763\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8221745</article_id>\n<headline>Polarized zero administration support</headline>\n<author>Maria Johnson</author>\n<published>2026-01-03T08:37:58.870132</published>\n<section>Business</section>\n<content>Would movement white military what them cup. Available remember control staff. None mean hundred PM.\nImprove wear produce price according. He method market computer TV strategy.\nBody into language. Which other hear they look some option.</content>\n<tags>environment</tags>\n<tags>name</tags>\n<tags>receive</tags>\n<tags>happen</tags>\n<tags>join</tags>\n<views>46852</views>\n<shares>763</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-8855\",\n  \"code\": \"DBP130\",\n  \"title\": \"Team-oriented 3rdgeneration implementation 101\",\n  \"instructor\": \"Carl Davis\",\n  \"credits\": 3,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"someone\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"bring\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"important\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"he\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"possible\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"office\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"drive\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"Mrs\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-6873\",\n  \"code\": \"GDK183\",\n  \"title\": \"Grass-roots 24/7 emulation 101\",\n  \"instructor\": \"Melinda Thompson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"girl\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"explain\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"center\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"almost\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"property\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"call\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"bad\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"study\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"campaign\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"performance\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"sport\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6873</course_id>\n<code>GDK183</code>\n<title>Grass-roots 24/7 emulation 101</title>\n<instructor>Melinda Thompson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>girl</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>explain</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>center</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>almost</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>property</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>call</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>bad</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>study</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>campaign</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>performance</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>sport</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-549878,,CRS-6692,,2026-01-01,C,,,,,54.38,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-264168,,,70,assignment\r\n,IFZ117,CRS-2273,4,,,40,30,30,Regina Williamson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"player\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"prove\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"contain\"\"}, {\"\"w\",,,Fall 2020,Fundamental asymmetric focus group 101,,\r\n,CCS271,CRS-6000,3,,,40,30,30,Craig Ruiz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"young\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"successful\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"word\"\"}, {\"\"\",,,Fall 2024,Front-line foreground protocol 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-549878\"\nstudent_id = \"STU-264168\"\ncourse_id = \"CRS-6692\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 70\npercentage = 54.38\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-319304</product_id>\n<name>Self-enabling clear-thinking help-desk</name>\n<category>clothing</category>\n<price>510.64</price>\n<currency>USD</currency>\n<stock>595</stock>\n<is_available>True</is_available>\n<rating>2.22</rating>\n<reviews>791</reviews>\n<specs>\n<weight_kg>30.42</weight_kg>\n<dimensions>12x58x39cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-8549692\",\n  \"product_id\": \"PROD-108019\",\n  \"user_id\": \"a4c4fbe3-7a0e-49f5-b14b-2ab1ca2d6ed5\",\n  \"rating\": 4,\n  \"title\": \"Development know write believe teacher ability.\",\n  \"content\": \"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.\",\n  \"date\": \"2026-01-06\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 22\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-8549692</review_id>\n<product_id>PROD-108019</product_id>\n<user_id>a4c4fbe3-7a0e-49f5-b14b-2ab1ca2d6ed5</user_id>\n<rating>4</rating>\n<title>Development know write believe teacher ability.</title>\n<content>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.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>22</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nZZC321,CRS-1972,4,40,30,30,Danielle Parsons,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"Republican\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"beat\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"garden\"\"}, {\",Spring 2020,Horizontal intermediate Graphical User Interface 101\r\nOAY467,CRS-7414,4,40,30,30,Crystal Miller,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"simply\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"story\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"end\"\"}, {\"\"week\"\"\",Fall 2022,Devolved systemic model 101\r\nZNZ354,CRS-5822,4,40,30,30,Timothy Holmes,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"wife\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"however\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"also\"\"}, {\"\"week\",Fall 2023,Horizontal holistic paradigm 101\r\nHSZ128,CRS-6620,4,40,30,30,Darryl Wolfe,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"lose\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"middle\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"near\"\"}, {\"\"week\"\"\",Spring 2024,Enterprise-wide radical ability 101\r\nJBO376,CRS-5022,3,40,30,30,Andrew Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"cut\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"his\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"how\"\"}, {\"\"week\"\": 4, \",Spring 2024,Progressive static knowledgebase 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate social media post data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78526123</post_id>\n<platform>twitter</platform>\n<user_id>17596017-ad50-41af-8dc2-8746d15af00d</user_id>\n<username>qsharp</username>\n<content>Seven behavior less water pretty.\nRock key include. Kind than game agreement.\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.</content>\n<timestamp>2026-01-07T13:51:27.460227</timestamp>\n<hashtags>#draw</hashtags>\n<hashtags>#five</hashtags>\n<hashtags>#culture</hashtags>\n<hashtags>#sport</hashtags>\n<engagement>\n<likes>1826</likes>\n<shares>489</shares>\n<comments>393</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nnote_id = \"CN-8348908\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J60\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K69\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J80\"\n\n[patient]\nmrn = \"MRN-109351\"\nage = 84\ngender = \"F\"\n\n[vitals]\nbp = \"157/81\"\nhr = 101\ntemp_f = 97.1\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J60\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K69\"\"}, {\"\"problem\"\": \"\"hype\",fever,2026-01-06,CN-8348908,84,F,MRN-109351,157/81,101,97.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I41\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J17\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-04,CN-6954593,89,M,MRN-446489,175/61,97,102.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K84\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I69\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-01,CN-5790941,28,M,MRN-576056,155/63,87,97.5\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.49729\",\n  \"title\": \"Optimized fault-tolerant monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Ashley Hubbard\",\n      \"affiliation\": \"Mcdonald-White\",\n      \"email\": \"jenniferlong@example.net\"\n    },\n    {\n      \"name\": \"Erica Marshall\",\n      \"affiliation\": \"Calderon-Dalton\",\n      \"email\": \"adouglas@example.org\"\n    },\n    {\n      \"name\": \"Mercedes Campbell\",\n      \"affiliation\": \"Davis-Lynch\",\n      \"email\": \"yharris@example.org\"\n    }\n  ],\n  \"abstract\": \"Relate make read game soldier new. Agree south attorney one century drive draw.\\nReduce head tax certainly offer deal. Sister station adult seat wear.\",\n  \"keywords\": [\n    \"gas\",\n    \"understand\",\n    \"everything\",\n    \"miss\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.3465/hMKF\"\n  },\n  \"citations\": 65,\n  \"funding_source\": \"Parsons Inc\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"article_id\": \"ART-2188860\",\n  \"headline\": \"Advanced well-modulated service-desk\",\n  \"author\": \"Michael Logan\",\n  \"published\": \"2026-01-03T08:09:52.608144\",\n  \"section\": \"Politics\",\n  \"content\": \"Include start build no effort continue. Mention sister mention threat.\\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.\",\n  \"tags\": [\n    \"hear\",\n    \"civil\",\n    \"might\",\n    \"way\",\n    \"win\"\n  ],\n  \"views\": 35184,\n  \"shares\": 1092\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2188860,Michael Logan,\"Include start build no effort continue. Mention sister mention threat.\nChoose herself case writer qu\",Advanced well-modulated service-desk,2026-01-03T08:09:52.608144,Politics,1092,\"[\"\"hear\"\", \"\"civil\"\", \"\"might\"\", \"\"way\"\", \"\"win\"\"]\",35184\r\nART-8331327,Kenneth Price,Military explain especially bank no loss low. Face identify simple police politics executive. Fish a,Streamlined grid-enabled encoding,2026-01-02T15:29:07.783374,Sports,659,\"[\"\"data\"\", \"\"trade\"\", \"\"front\"\", \"\"wrong\"\", \"\"phone\"\"]\",7773\r\nART-3732564,Jonathon Hunter,Need final green cold activity thus. Stock artist price across. Discussion but another wide stock wa,Ergonomic foreground methodology,2026-01-02T16:06:09.986745,Politics,4217,\"[\"\"business\"\", \"\"society\"\", \"\"growth\"\"]\",30424\r\nART-4379135,Mark Pope,\"By campaign worker she parent. White see sort with grow pattern.\nWho benefit we lawyer arrive requir\",Compatible heuristic portal,2026-01-03T03:19:51.715732,Politics,425,\"[\"\"my\"\", \"\"main\"\", \"\"throughout\"\", \"\"scientist\"\"]\",5028\r\nART-2162694,Stephanie Harrison,\"Near fact live spring too. Road treat yard person.\nQuality lay apply character exactly. Mouth mainta\",De-engineered local process improvement,2026-01-03T15:34:28.887808,Politics,1909,\"[\"\"focus\"\", \"\"paper\"\", \"\"with\"\"]\",67820\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need course syllabus details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9342\ncode: BTJ202\ntitle: Mandatory fault-tolerant application 101\ninstructor: Nicole Cohen\ncredits: 3\nterm: Spring 2022\nschedule:\n- week: 1\n  topic: ready\n- week: 2\n  topic: happen\n- week: 3\n  topic: American\n- week: 4\n  topic: arm\n- week: 5\n  topic: us\n- week: 6\n  topic: home\n- week: 7\n  topic: professional\n- week: 8\n  topic: should\n- week: 9\n  topic: nation\n- week: 10\n  topic: fill\n- week: 11\n  topic: physical\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Networked system-worthy project API\"\nversion = \"1.0.0\"\n\n[paths.\"/somebody\".get]\nsummary = \"Threat common organization project.\"\n[[paths.\"/somebody\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/somebody\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/somebody\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/somebody\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</somebody>\n<get>\n<summary>Threat common organization project.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//somebody>\n</paths>\n<info>\n<title>Networked system-worthy project API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.66116</paper_id>\n<title>Quality-focused grid-enabled service-desk</title>\n<authors>\n<name>David Cohen</name>\n<affiliation>Lopez and Sons</affiliation>\n<email>mark98@example.com</email>\n</authors>\n<authors>\n<name>Ashley Spencer</name>\n<affiliation>Hood Ltd</affiliation>\n<email>pbailey@example.org</email>\n</authors>\n<authors>\n<name>Robin Lynch</name>\n<affiliation>Camacho, Nelson and Perez</affiliation>\n<email>samantha44@example.net</email>\n</authors>\n<abstract>Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.</abstract>\n<keywords>rather</keywords>\n<keywords>hair</keywords>\n<keywords>attorney</keywords>\n<keywords>chance</keywords>\n<keywords>bring</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2020</year>\n<doi>10.7468/EeJM</doi>\n</publication>\n<citations>174</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.66116\",\n  \"title\": \"Quality-focused grid-enabled service-desk\",\n  \"authors\": [\n    {\n      \"name\": \"David Cohen\",\n      \"affiliation\": \"Lopez and Sons\",\n      \"email\": \"mark98@example.com\"\n    },\n    {\n      \"name\": \"Ashley Spencer\",\n      \"affiliation\": \"Hood Ltd\",\n      \"email\": \"pbailey@example.org\"\n    },\n    {\n      \"name\": \"Robin Lynch\",\n      \"affiliation\": \"Camacho, Nelson and Perez\",\n      \"email\": \"samantha44@example.net\"\n    }\n  ],\n  \"abstract\": \"Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.\",\n  \"keywords\": [\n    \"rather\",\n    \"hair\",\n    \"attorney\",\n    \"chance\",\n    \"bring\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2020,\n    \"doi\": \"10.7468/EeJM\"\n  },\n  \"citations\": 174,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I32\"\"}]\",fever,2026-01-06,CN-4493327,62,F,MRN-934301,141/91,100,98.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I28\"\"}]\",chest pain,2026-01-06,CN-7363473,35,M,MRN-956112,163/72,102,100.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J22\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I60\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-02,CN-2016484,54,F,MRN-545642,147/94,119,100.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I60\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I71\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-04,CN-5987083,44,F,MRN-291192,167/80,98,101.9\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nCan drive next attention. Fly truth fire current least learn already. Wind job very cut particular b,,44,,,REV-5709441,,,\r\n\"Support well game government. Why minute pass environment tend word.\nCare participant couple any who\",2026-01-03,45,PROD-561789,5,REV-5992712,Or loss participant.,b8a0214c-097a-428c-b479-8639b78575a4,True\r\n\"Foreign similar health among type me.\nAmount argue those they us wear return. Through town mean figh\",2026-01-01,37,PROD-849449,4,REV-8264744,Pressure itself human until.,616ea72a-d2e3-44ba-b782-2212a14fc07b,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-2971879\nproduct_id: PROD-601177\nuser_id: 49ec79ac-cc63-409f-8812-a70c492b6835\nrating: 3\ntitle: Safe everything country understand subject.\ncontent: 'Explain among above role speech. Hear law enjoy. Lose building fall everything\n  million.\n\n  East choose however class dark test good contain. Indicate worker mean hot.'\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 67\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-475777\nstudent_id: STU-613124\ncourse_id: CRS-2241\ntype: assignment\ndate: '2026-01-06'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 6\n  points_possible: 10\n- question: 3\n  points_earned: 3\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 9\n  points_possible: 10\n- question: 6\n  points_earned: 7\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 9\n  points_possible: 10\n- question: 9\n  points_earned: 3\n  points_possible: 10\ntotal_score: 75\npercentage: 81.54\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-363161\nparties:\n- name: Turner, Lee and Lara\n  role: party_a\n- name: Howard, Grimes and Perez\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 29\nvalue: 464788\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-13058367\",\n  \"customer_id\": \"852e4544-1bd4-44f1-abf0-2ff01b4a4792\",\n  \"timestamp\": \"2026-01-07T13:51:26.835091\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-47822\",\n      \"qty\": 3,\n      \"price\": 237.72\n    },\n    {\n      \"sku\": \"SKU-38430\",\n      \"qty\": 4,\n      \"price\": 285.9\n    },\n    {\n      \"sku\": \"SKU-22327\",\n      \"qty\": 1,\n      \"price\": 141.71\n    }\n  ],\n  \"subtotal\": 408.33,\n  \"tax\": 11.32,\n  \"total\": 1142.29,\n  \"payment_method\": \"paypal\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-13058367</txn_id>\n<customer_id>852e4544-1bd4-44f1-abf0-2ff01b4a4792</customer_id>\n<timestamp>2026-01-07T13:51:26.835091</timestamp>\n<items>\n<sku>SKU-47822</sku>\n<qty>3</qty>\n<price>237.72</price>\n</items>\n<items>\n<sku>SKU-38430</sku>\n<qty>4</qty>\n<price>285.9</price>\n</items>\n<items>\n<sku>SKU-22327</sku>\n<qty>1</qty>\n<price>141.71</price>\n</items>\n<subtotal>408.33</subtotal>\n<tax>11.32</tax>\n<total>1142.29</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Devolved web-enabled methodology API\"\nversion = \"1.0.0\"\n\n[paths.\"/real\".get]\nsummary = \"Many summer call sister popular.\"\n[[paths.\"/real\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/real\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/real\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5980\"\ncode = \"WJP277\"\ntitle = \"Enterprise-wide real-time standardization 101\"\ninstructor = \"Michael Reyes\"\ncredits = 3\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"capital\"\n\n[[schedule]]\nweek = 2\ntopic = \"thousand\"\n\n[[schedule]]\nweek = 3\ntopic = \"final\"\n\n[[schedule]]\nweek = 4\ntopic = \"possible\"\n\n[[schedule]]\nweek = 5\ntopic = \"body\"\n\n[[schedule]]\nweek = 6\ntopic = \"chair\"\n\n[[schedule]]\nweek = 7\ntopic = \"protect\"\n\n[[schedule]]\nweek = 8\ntopic = \"small\"\n\n[[schedule]]\nweek = 9\ntopic = \"million\"\n\n[[schedule]]\nweek = 10\ntopic = \"property\"\n\n[[schedule]]\nweek = 11\ntopic = \"focus\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-485879</assessment_id>\n<student_id>STU-284737</student_id>\n<course_id>CRS-1053</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>64.04</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-485879\"\nstudent_id = \"STU-284737\"\ncourse_id = \"CRS-1053\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 89\npercentage = 64.04\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-524008\",\n  \"name\": \"Implemented multimedia focus group\",\n  \"category\": \"electronics\",\n  \"price\": 524.9,\n  \"currency\": \"USD\",\n  \"stock\": 714,\n  \"is_available\": true,\n  \"rating\": 2.56,\n  \"reviews\": 633,\n  \"specs\": {\n    \"weight_kg\": 40.1,\n    \"dimensions\": \"80x44x77cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-524008</product_id>\n<name>Implemented multimedia focus group</name>\n<category>electronics</category>\n<price>524.9</price>\n<currency>USD</currency>\n<stock>714</stock>\n<is_available>True</is_available>\n<rating>2.56</rating>\n<reviews>633</reviews>\n<specs>\n<weight_kg>40.1</weight_kg>\n<dimensions>80x44x77cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-766531\nstudent_id: STU-146206\ncourse_id: CRS-4639\ntype: exam\ndate: '2026-01-02'\nscores:\n- question: 1\n  points_earned: 7\n  points_possible: 10\n- question: 2\n  points_earned: 5\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 8\n  points_possible: 10\n- question: 6\n  points_earned: 8\n  points_possible: 10\n- question: 7\n  points_earned: 8\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 6\n  points_possible: 10\n- question: 10\n  points_earned: 9\n  points_possible: 10\n- question: 11\n  points_earned: 2\n  points_possible: 10\n- question: 12\n  points_earned: 5\n  points_possible: 10\ntotal_score: 80\npercentage: 72.02\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-2604144\npatient_mrn: MRN-906692\norder_date: '2026-01-01'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 180.3\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 97.8\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 88.1\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 65.1\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 95.1\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 86.1\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 152.8\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6873</course_id>\n<code>GDK183</code>\n<title>Grass-roots 24/7 emulation 101</title>\n<instructor>Melinda Thompson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>girl</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>explain</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>center</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>almost</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>property</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>call</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>bad</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>study</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>campaign</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>performance</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>sport</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-6873\",\n  \"code\": \"GDK183\",\n  \"title\": \"Grass-roots 24/7 emulation 101\",\n  \"instructor\": \"Melinda Thompson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"girl\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"explain\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"center\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"almost\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"property\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"call\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"bad\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"study\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"campaign\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"performance\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"sport\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,timestamp,title,total\r\n,,,87dd152b-08d8-41af-8efe-6b684c3bbc0c,,,,,,,2026-01-06T09:43:32.605547,,955.57\r\nHot another natural all nature approach. Region whom apply difficult pressure soon. Rest energy wind,\"[{\"\"name\"\": \"\"Daniel Evans\"\", \"\"affiliation\"\": \"\"Wiggins-Cook\"\", \"\"email\"\": \"\"deandavid@example.com\"\"}, {\"\"name\"\":\",110,,\"Watts, King and Walker\",\"[\"\"tend\"\", \"\"away\"\", \"\"little\"\", \"\"early\"\", \"\"interesting\"\"]\",arXiv:2020.79539,10.4742/Wkhz,Nature,2022,,Operative human-resource time-frame,\r\n\"Gun market real. Herself parent phone star report worry start.\nDirector investment while example sam\",\"[{\"\"name\"\": \"\"Melinda Le\"\", \"\"affiliation\"\": \"\"Ortiz-Palmer\"\", \"\"email\"\": \"\"john72@example.com\"\"}, {\"\"name\"\": \"\"Reb\",429,,\"Bailey, Lowe and Henry\",\"[\"\"red\"\", \"\"exist\"\", \"\"force\"\", \"\"benefit\"\", \"\"responsibility\"\"]\",arXiv:2020.95109,10.4146/yOYA,Cell,2023,,Quality-focused needs-based approach,\r\nManagement serve behind finally business step. Institution high compare let Mrs hard. Bad common art,\"[{\"\"name\"\": \"\"Morgan Bradley\"\", \"\"affiliation\"\": \"\"Bates, Garrett and Kaufman\"\", \"\"email\"\": \"\"allison41@example\",143,,None,\"[\"\"over\"\", \"\"listen\"\", \"\"style\"\"]\",arXiv:2024.27453,10.9130/Hxtg,Cell,2022,,Secured motivating contingency,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-791864\"\nname = \"Decentralized heuristic migration\"\ncategory = \"books\"\nprice = 124.58\ncurrency = \"USD\"\nstock = 601\nis_available = true\nrating = 3.59\nreviews = 538\n\n[specs]\nweight_kg = 9.83\ndimensions = \"30x16x25cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>042db0a1-c9b1-49a9-9d69-5247a8c47159</error_id>\n<timestamp>2026-01-07T13:51:27.377057</timestamp>\n<level>ERROR</level>\n<service>whomService</service>\n<message>Each reality trip red enough tough common.</message>\n<stack_trace>at note.py:398</stack_trace>\n<stack_trace>at purpose.py:452</stack_trace>\n<stack_trace>at onto.py:106</stack_trace>\n<stack_trace>at member.py:439</stack_trace>\n<context>\n<user_id>70c0c786-0e43-42b2-8ec7-e975f39a71f7</user_id>\n<request_id>95ca942a-a33a-413f-b1a1-a21e12fa0f30</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"042db0a1-c9b1-49a9-9d69-5247a8c47159\",\n  \"timestamp\": \"2026-01-07T13:51:27.377057\",\n  \"level\": \"ERROR\",\n  \"service\": \"whomService\",\n  \"message\": \"Each reality trip red enough tough common.\",\n  \"stack_trace\": [\n    \"at note.py:398\",\n    \"at purpose.py:452\",\n    \"at onto.py:106\",\n    \"at member.py:439\"\n  ],\n  \"context\": {\n    \"user_id\": \"70c0c786-0e43-42b2-8ec7-e975f39a71f7\",\n    \"request_id\": \"95ca942a-a33a-413f-b1a1-a21e12fa0f30\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-7122533\ncontent: Expert difficult hot radio mission. Throw southern he book way media particular.\nrating: 1\ndate: '2026-01-06'\nverified_purchase: false\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3684509</rx_id>\n<patient_mrn>MRN-644382</patient_mrn>\n<prescriber>Chelsea Henson</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</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>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3684509\",\n  \"patient_mrn\": \"MRN-644382\",\n  \"prescriber\": \"Chelsea Henson\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9065\"\ncode = \"OHM443\"\ntitle = \"Extended modular moratorium 101\"\ninstructor = \"Alexandra Blake\"\ncredits = 4\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"determine\"\n\n[[schedule]]\nweek = 2\ntopic = \"spring\"\n\n[[schedule]]\nweek = 3\ntopic = \"yes\"\n\n[[schedule]]\nweek = 4\ntopic = \"serve\"\n\n[[schedule]]\nweek = 5\ntopic = \"almost\"\n\n[[schedule]]\nweek = 6\ntopic = \"feeling\"\n\n[[schedule]]\nweek = 7\ntopic = \"must\"\n\n[[schedule]]\nweek = 8\ntopic = \"hotel\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-555026\nname: Visionary demand-driven capacity\ncategory: books\nprice: 804.97\ncurrency: USD\nstock: 819\nis_available: true\nrating: 2.69\nreviews: 648\nspecs:\n  weight_kg: 29.46\n  dimensions: 60x89x38cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-36809284\"\ncustomer_id = \"0c536a02-eec8-4bcd-8716-cb0564185d0f\"\ntimestamp = \"2026-01-06T09:43:34.532435\"\nsubtotal = 250.45\ntax = 127.96\ntotal = 1435.54\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-37486\"\nqty = 4\nprice = 223.93\n\n[[items]]\nsku = \"SKU-51518\"\nqty = 1\nprice = 246.34\n\n[[items]]\nsku = \"SKU-21777\"\nqty = 4\nprice = 496.92\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Rodriguez, Curry and Yates\nticker: KWAZ\nquarter: Q1 2020\nrevenue: 4863925\nexpenses: 55129980\nnet_income: 12179320\neps: 7.94\nmetrics:\n  profit_margin: 29.26\n  roe: 9.63\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Devolved web-enabled methodology API\n  version: 1.0.0\npaths:\n  /real:\n    get:\n      summary: Many summer call sister popular.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-98000345\"\ncustomer_id = \"681a59bc-1151-4d49-8e75-1af0878315cb\"\ntimestamp = \"2026-01-07T13:51:26.087659\"\nsubtotal = 948.16\ntax = 93.65\ntotal = 1389.7\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-50616\"\nqty = 3\nprice = 180.94\n\n[[items]]\nsku = \"SKU-82812\"\nqty = 5\nprice = 490.31\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K39\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K62\"\"}, {\"\"problem\",fever,,CN-8407015,,,,141/81,63,102.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I39\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J85\"\"}, {\"\"problem\",chest pain,2026-01-02,CN-2621687,79,F,MRN-812262,110/79,112,97.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J52\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J98\"\"}]\",chest pain,2026-01-05,CN-8605120,56,M,MRN-569588,104/84,60,101.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K88\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J52\"\"}, {\"\"problem\"\": \"\"diab\",fever,2026-01-04,CN-9227780,28,F,MRN-515430,150/70,61,99.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K84\"\"}]\",fever,2026-01-05,CN-5592440,74,F,MRN-972391,135/83,104,100.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/somebody\": {\n      \"get\": {\n        \"summary\": \"Threat common organization project.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Networked system-worthy project API\",\n    \"version\": \"1.0.0\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output course syllabus as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWQT213,CRS-9279,3,40,30,30,Mariah Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"together\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"statement\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"these\"\"},\",Fall 2020,Ameliorated 3rdgeneration groupware 101\r\nBBZ401,CRS-5888,3,40,30,30,Jacob Brady,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"about\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"push\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"above\"\"}, {\"\"week\"\"\",Spring 2024,Universal zero tolerance initiative 101\r\nPEC429,CRS-2614,3,40,30,30,Antonio Ritter,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"laugh\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ahead\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"dream\"\"}, {\"\"week\",Spring 2024,Proactive tangible knowledgebase 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: July 2024\ntotal_revenue: 7649423\nunits_sold: 50051\nchannels:\n- name: retail\n  revenue: 2956538\n  growth: 43.8\n- name: wholesale\n  revenue: 2917960\n  growth: -8.1\ntop_products:\n- sku: SKU-4952\n  sales: 253375\n- sku: SKU-9789\n  sales: 344474\n- sku: SKU-6905\n  sales: 201262\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-506156</experiment_id>\n<title>Effect of window on soldier</title>\n<methodology>\n<design>observational</design>\n<sample_size>884</sample_size>\n<duration_days>87</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>32.86</baseline>\n<endpoint>81.82</endpoint>\n<p_value>0.3265</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>88.84</baseline>\n<endpoint>10.2</endpoint>\n<p_value>0.448</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>27.68</baseline>\n<endpoint>60.55</endpoint>\n<p_value>0.1062</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>51.8</baseline>\n<endpoint>89.23</endpoint>\n<p_value>0.4543</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal_score: 97\nscores:\n- question: 1\n  points_earned: 0\n  points_possible: 10\n- question: 2\n  points_earned: 4\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 5\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\n- question: 8\n  points_earned: 5\n  points_possible: 10\n- question: 9\n  points_earned: 3\n  points_possible: 10\n- question: 10\n  points_earned: 9\n  points_possible: 10\n- question: 11\n  points_earned: 5\n  points_possible: 10\npercentage: 78.32\ncourse_id: CRS-4089\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: d03afc03-94bd-4dbb-bf49-9cda441c119b\ntimestamp: '2026-01-07T13:51:25.952127'\nlevel: CRITICAL\nservice: fromService\nmessage: Add perform politics some card score brother.\nstack_trace:\n- at send.py:152\n- at young.py:309\ncontext:\n  user_id: 2b3e5573-7b69-4807-a899-cbaa4adadf38\n  request_id: beac9c14-4ae5-407d-9aae-d7a56f6790f6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nRichardson-Gonzalez,6.0,,,,13953656,Q3 2020,,\r\nReed-Duncan,3.44,77600046,8.1,23.92,14931813,Q1 2023,47978642,FQJY\r\nNelson Inc,6.78,43300050,21.08,18.42,17789529,Q2 2020,68103050,LRQG\r\nKelly Inc,0.66,45167491,24.52,5.26,16072636,Q2 2023,80664579,RTQO\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.30712\"\ntitle = \"Automated 4thgeneration capability\"\nabstract = \"Five suffer nor during. Mother type cell popular everybody. Any sing money without future.\"\nkeywords = [ \"effect\", \"wish\", \"perform\", \"drug\",]\ncitations = 139\n[[authors]]\nname = \"Veronica Murray\"\naffiliation = \"Miller, Cain and Newton\"\nemail = \"johnsonmaxwell@example.net\"\n\n[[authors]]\nname = \"Sara Montoya\"\naffiliation = \"Hall, Tucker and Jordan\"\nemail = \"floresjay@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2021\ndoi = \"10.3170/JGZQ\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Multi-tiered directional knowledge user API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</require>\n<get>\n<summary>Suffer kid pull bed decision rest.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//require>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"info\": {\n    \"title\": \"Multi-tiered directional knowledge user API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/require\": {\n      \"get\": {\n        \"summary\": \"Suffer kid pull bed decision rest.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-4441974\npatient:\n  mrn: MRN-925906\n  age: 60\n  gender: F\nencounter_date: '2026-01-02'\nchief_complaint: headache\nvitals:\n  bp: 154/95\n  hr: 108\n  temp_f: 97.8\nassessment:\n- problem: diabetes\n  icd10: J60\n- problem: hypertension\n  icd10: I21\n- problem: diabetes\n  icd10: K16\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.95192\"\ntitle = \"Horizontal 24hour ability\"\nabstract = \"World others safe such industry. Debate soon fight stuff picture plan investment. Positive picture use every project.\"\nkeywords = [ \"south\", \"staff\", \"four\",]\ncitations = 191\n[[authors]]\nname = \"Brandon Harris\"\naffiliation = \"Adams-Novak\"\nemail = \"klang@example.net\"\n\n[[authors]]\nname = \"Jon Smith\"\naffiliation = \"Barajas-Maldonado\"\nemail = \"mccarthymegan@example.com\"\n\n[[authors]]\nname = \"Keith Acosta\"\naffiliation = \"Davis-Lewis\"\nemail = \"esilva@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2024\ndoi = \"10.9923/RFal\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"contract_id\": \"CTR-370819\",\n  \"parties\": [\n    {\n      \"name\": \"Stewart, Thompson and Rogers\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Jackson, Griffin and Flowers\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 13,\n  \"value\": 109351,\n  \"status\": \"active\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-370819</contract_id>\n<parties>\n<name>Stewart, Thompson and Rogers</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Jackson, Griffin and Flowers</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>13</term_months>\n<value>109351</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<schedule>\n<week>1</week>\n<topic>table</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>team</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>miss</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>face</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sort</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>effect</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>still</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>training</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>different</topic>\n</schedule>\n<code>GHC481</code>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<term>Spring 2020</term>\n<credits>4</credits>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"table\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"team\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"miss\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"face\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sort\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"effect\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"still\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"training\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"different\"\n    }\n  ],\n  \"code\": \"GHC481\",\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"term\": \"Spring 2020\",\n  \"credits\": 4\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>c6e14566-270a-4a5f-a250-5239ca9174ac</error_id>\n<timestamp>2026-01-07T13:51:26.338486</timestamp>\n<level>ERROR</level>\n<service>humanService</service>\n<message>Fear she east talk better central.</message>\n<stack_trace>at college.py:218</stack_trace>\n<stack_trace>at economy.py:209</stack_trace>\n<stack_trace>at let.py:252</stack_trace>\n<stack_trace>at whole.py:18</stack_trace>\n<context>\n<user_id>bda2bdb3-cc4e-4711-8927-aa42dc72d462</user_id>\n<request_id>c7d51186-07ee-4743-a193-c5688ac0d6c5</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Game open idea practice word theory. Face power cultural money.\nIndeed continue heart season. View a\",,2026-01-04,18,,,,PROD-472796,2,REV-4526244,,,,,Control account commercial small.,d6aaa9d3-89d1-4f04-afb6-0c81ca1eaf74,True\r\nelectronics,,USD,,,True,Seamless full-range initiative,812.78,PROD-340427,4.18,,674,95x69x55cm,34.36,472,,,\r\nbooks,,USD,,,True,Monitored 24hour strategy,873.99,PROD-151000,4.69,,596,96x70x48cm,12.12,160,,,\r\nclothing,,USD,,,True,Cross-group upward-trending contingency,821.61,PROD-626802,1.93,,28,72x15x71cm,17.08,811,,,\r\nclothing,,USD,,,True,Synergistic 3rdgeneration firmware,471.01,PROD-748143,4.18,,215,29x89x84cm,6.54,924,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Self-enabling clear-thinking help-desk,510.64,PROD-319304,2.22,791,12x58x39cm,30.42,595\r\nbooks,USD,True,Multi-layered high-level project,314.18,PROD-743488,2.62,391,64x23x70cm,48.09,718\r\nclothing,USD,True,Business-focused mobile support,714.16,PROD-454786,4.83,581,54x97x72cm,40.41,777\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-93814090\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\",\n  \"username\": \"tonyaguzman\",\n  \"content\": \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\",\n  \"timestamp\": \"2026-01-07T13:51:26.454281\",\n  \"hashtags\": [\n    \"#plan\",\n    \"#area\",\n    \"#foreign\"\n  ],\n  \"engagement\": {\n    \"likes\": 5322,\n    \"shares\": 327,\n    \"comments\": 152\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\npaper_id = \"arXiv:2020.57295\"\ntitle = \"Persevering global groupware\"\nabstract = \"Stand season mind indicate either. Buy gas keep skin.\"\nkeywords = [ \"stock\", \"member\", \"laugh\", \"language\", \"right\",]\ncitations = 204\n[[authors]]\nname = \"Edwin Moore\"\naffiliation = \"Smith-Jones\"\nemail = \"bowenzachary@example.net\"\n\n[[authors]]\nname = \"Anna Collins\"\naffiliation = \"Thomas, Rogers and Baldwin\"\nemail = \"thill@example.com\"\n\n[[authors]]\nname = \"Mrs. Mary Delacruz MD\"\naffiliation = \"French, Rodriguez and Johnson\"\nemail = \"amywest@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2022\ndoi = \"10.9461/HDZk\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2020.57295\ntitle: Persevering global groupware\nauthors:\n- name: Edwin Moore\n  affiliation: Smith-Jones\n  email: bowenzachary@example.net\n- name: Anna Collins\n  affiliation: Thomas, Rogers and Baldwin\n  email: thill@example.com\n- name: Mrs. Mary Delacruz MD\n  affiliation: French, Rodriguez and Johnson\n  email: amywest@example.org\nabstract: Stand season mind indicate either. Buy gas keep skin.\nkeywords:\n- stock\n- member\n- laugh\n- language\n- right\npublication:\n  venue: Cell\n  year: 2022\n  doi: 10.9461/HDZk\ncitations: 204\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4036732</note_id>\n<patient>\n<mrn>MRN-366942</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>102/96</bp>\n<hr>61</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K52</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4036732\",\n  \"patient\": {\n    \"mrn\": \"MRN-366942\",\n    \"age\": 79,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"102/96\",\n    \"hr\": 61,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K52\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-38439045\ncustomer_id: 39de4165-2950-403a-b7cf-252ec7bafdcc\ntimestamp: '2026-01-07T13:51:25.757679'\nitems:\n- sku: SKU-68017\n  qty: 5\n  price: 287.63\n- sku: SKU-13598\n  qty: 1\n  price: 397.9\n- sku: SKU-25253\n  qty: 4\n  price: 226.78\n- sku: SKU-92380\n  qty: 1\n  price: 318.47\nsubtotal: 964.6\ntax: 142.48\ntotal: 1270.74\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"title\": \"Stand-alone empowering functionalities 101\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"class\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"leave\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"develop\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"style\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"again\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"man\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"list\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2280\"\ncode = \"QNY416\"\ntitle = \"Synchronized discrete model 101\"\ninstructor = \"Shannon Peterson\"\ncredits = 4\nterm = \"Fall 2020\"\n[[schedule]]\nweek = 1\ntopic = \"light\"\n\n[[schedule]]\nweek = 2\ntopic = \"military\"\n\n[[schedule]]\nweek = 3\ntopic = \"create\"\n\n[[schedule]]\nweek = 4\ntopic = \"year\"\n\n[[schedule]]\nweek = 5\ntopic = \"wife\"\n\n[[schedule]]\nweek = 6\ntopic = \"share\"\n\n[[schedule]]\nweek = 7\ntopic = \"fill\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-9982202\"\nproduct_id = \"PROD-452864\"\nuser_id = \"015289de-7f3e-45e2-b1d0-7fe22aff92a9\"\nrating = 3\ntitle = \"Example center fill free.\"\ncontent = \"North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.\"\ndate = \"2026-01-04\"\nverified_purchase = false\nhelpful_votes = 34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output student assessment as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-482875</assessment_id>\n<student_id>STU-646713</student_id>\n<course_id>CRS-2679</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>62</total_score>\n<percentage>98.87</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nhelpful_votes: 39\ndate: '2026-01-04'\nrating: 5\nreview_id: REV-1864702\ntitle: State standard bad message use.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2388619</article_id>\n<headline>Switchable tertiary collaboration</headline>\n<author>Paula Martinez</author>\n<published>2026-01-07T02:15:35.006278</published>\n<section>Politics</section>\n<content>Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\nDoor president he always capital.\nBlack democratic heart read name. Professional billion prepare executive meeting sport.</content>\n<tags>hair</tags>\n<tags>democratic</tags>\n<tags>financial</tags>\n<tags>huge</tags>\n<tags>available</tags>\n<views>74003</views>\n<shares>1794</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nPoor pass into get. Check team pretty note must person letter. Sure imagine onto toward well section,\"[{\"\"name\"\": \"\"Amy Williams\"\", \"\"affiliation\"\": \"\"Gilbert PLC\"\", \"\"email\"\": \"\"browndanielle@example.com\"\"}, {\"\"nam\",152,None,\"[\"\"require\"\", \"\"seat\"\", \"\"data\"\"]\",arXiv:2020.26414,10.3829/LCKa,Nature,2022,Monitored mission-critical strategy\r\nHowever American per baby forward. Local enough production recent threat company. As rock chair perf,\"[{\"\"name\"\": \"\"Cindy Flores\"\", \"\"affiliation\"\": \"\"Rodriguez, Harrington and James\"\", \"\"email\"\": \"\"chadreeves@exa\",255,Alvarez-Rivas,\"[\"\"concern\"\", \"\"staff\"\", \"\"state\"\", \"\"husband\"\", \"\"big\"\"]\",arXiv:2024.74937,10.3692/ENwG,Nature,2024,Fundamental transitional firmware\r\nWeek onto interview.,\"[{\"\"name\"\": \"\"Michael Mooney\"\", \"\"affiliation\"\": \"\"Perez, Smith and Moore\"\", \"\"email\"\": \"\"myersmary@example.com\",378,None,\"[\"\"type\"\", \"\"daughter\"\", \"\"argue\"\"]\",arXiv:2020.24980,10.9354/xQLj,Nature,2020,Switchable hybrid structure\r\nMore sell plan meet black deep. Sea charge business early action soldier nor.,\"[{\"\"name\"\": \"\"Ricky Johnson\"\", \"\"affiliation\"\": \"\"Espinoza, Oneal and Walsh\"\", \"\"email\"\": \"\"veronicaandrews@exa\",34,None,\"[\"\"spring\"\", \"\"three\"\", \"\"south\"\", \"\"produce\"\"]\",arXiv:2022.72936,10.3656/tZoE,Cell,2023,Universal demand-driven framework\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output financial report as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-1132090\",\n  \"product_id\": \"PROD-380257\",\n  \"user_id\": \"251dc214-da1e-4fb5-8ea5-d107ad43f82c\",\n  \"rating\": 4,\n  \"title\": \"Young race true property less government.\",\n  \"content\": \"Brother agent radio might own development. Too strong minute building why. Cell so amount imagine simple.\\nCourt every deal change allow last practice. Western far thus.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 14\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1132090</review_id>\n<product_id>PROD-380257</product_id>\n<user_id>251dc214-da1e-4fb5-8ea5-d107ad43f82c</user_id>\n<rating>4</rating>\n<title>Young race true property less government.</title>\n<content>Brother agent radio might own development. Too strong minute building why. Cell so amount imagine simple.\nCourt every deal change allow last practice. Western far thus.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>14</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nStreet our allow enough. Collection street scene number away animal commercial. Republican down seni,84,8848,629,\"[\"\"#during\"\", \"\"#others\"\"]\",twitter,POST-53833800,2026-01-06T09:43:29.817322,260b115a-c655-4a4f-8454-24edfeb18782,nfox\r\nBad future without win probably line look. Catch open finish act.,48,6314,461,\"[\"\"#study\"\", \"\"#language\"\"]\",twitter,POST-43567114,2026-01-06T09:43:29.818810,4a67ff0a-ba65-46b0-b3ed-23cfd0bc2815,lharris\r\n\"Shoulder last animal development. Six fly head. Learn financial soon must pressure not.\nForget enjoy\",113,2286,452,\"[\"\"#wrong\"\", \"\"#hot\"\", \"\"#dog\"\", \"\"#card\"\"]\",twitter,POST-31550136,2026-01-06T09:43:29.819436,dfe2df20-900e-4dd9-bf9c-72f84936a6b7,bradfordsteven\r\nInto personal tell create condition hope. End face game smile trouble. Father require per modern sce,142,3490,565,\"[\"\"#daughter\"\", \"\"#move\"\", \"\"#majority\"\"]\",twitter,POST-56510988,2026-01-06T09:43:29.820118,698c562e-fefa-4744-9809-b363d5b4dc5f,wisemegan\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-859155\nstudent_id: STU-376269\ncourse_id: CRS-9574\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 0\n  points_possible: 10\n- question: 2\n  points_earned: 6\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 1\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 5\n  points_possible: 10\n- question: 8\n  points_earned: 8\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\n- question: 10\n  points_earned: 0\n  points_possible: 10\n- question: 11\n  points_earned: 6\n  points_possible: 10\n- question: 12\n  points_earned: 3\n  points_possible: 10\ntotal_score: 67\npercentage: 54.02\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Secured needs-based Local Area Network API\"\nversion = \"1.0.0\"\n\n[paths.\"/story\".get]\nsummary = \"Right around century next pretty.\"\n[[paths.\"/story\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/story\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/story\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-8246470\npatient_mrn: MRN-256913\nprescriber: Victor Valentine\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Lisinopril\n  dosage: 5mg\n  frequency: TID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"article_id\": \"ART-5646798\",\n  \"headline\": \"Switchable hybrid groupware\",\n  \"author\": \"Joshua Bell\",\n  \"published\": \"2026-01-05T05:31:42.088007\",\n  \"section\": \"Business\",\n  \"content\": \"List road lay not year. Congress gas full particular according. Prevent hear century game friend civil live.\\nPossible option especially woman. Ahead down suffer doctor six traditional. Prove ready American star impact operation just. Difficult yourself difficult base of four letter.\",\n  \"tags\": [\n    \"author\",\n    \"son\",\n    \"food\"\n  ],\n  \"views\": 74484,\n  \"shares\": 596\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5646798,Joshua Bell,List road lay not year. Congress gas full particular according. Prevent hear century game friend civ,Switchable hybrid groupware,2026-01-05T05:31:42.088007,Business,596,\"[\"\"author\"\", \"\"son\"\", \"\"food\"\"]\",74484\r\nART-6165396,Ellen Hamilton,\"Move yet fight lawyer him. Then size threat commercial month writer. Plan need mission.\nCertain conc\",Cross-platform secondary paradigm,2026-01-04T06:59:23.942438,Politics,3991,\"[\"\"attorney\"\", \"\"act\"\", \"\"movie\"\"]\",31541\r\nART-5224027,Sabrina Turner,\"Reveal find check. Indeed protect tell catch art ball buy.\nAgency development carry cultural forward\",Programmable encompassing database,2026-01-02T07:03:14.355228,Tech,4412,\"[\"\"face\"\", \"\"door\"\", \"\"near\"\", \"\"federal\"\", \"\"officer\"\"]\",68992\r\nART-6474915,Sarah Thompson,Leg management half little party. Also offer owner. Three window involve surface middle own budget t,Monitored mission-critical data-warehouse,2026-01-03T07:41:01.430013,Sports,1882,\"[\"\"image\"\", \"\"field\"\", \"\"must\"\"]\",96897\r\nART-5325044,Sean Riley,\"Tax never early year structure stop sport thing. Fish southern day president theory smile.\nPick sit \",Enhanced client-driven Graphical User Interface,2026-01-05T00:14:01.350446,Tech,2542,\"[\"\"reality\"\", \"\"civil\"\", \"\"sound\"\"]\",51972\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-11812117\"\ncustomer_id = \"4e79c070-6935-456a-b07c-e1f0e18641ae\"\ntimestamp = \"2026-01-06T09:43:30.130542\"\nsubtotal = 721.98\ntax = 169.32\ntotal = 333.86\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-52645\"\nqty = 3\nprice = 146.99\n\n[[items]]\nsku = \"SKU-49070\"\nqty = 4\nprice = 201.41\n\n[[items]]\nsku = \"SKU-26435\"\nqty = 5\nprice = 345.23\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>e01a43f8-d4eb-4ec7-a325-ad2b31726d0f</error_id>\n<timestamp>2026-01-07T13:51:25.462522</timestamp>\n<level>ERROR</level>\n<service>winService</service>\n<message>Western energy project push building.</message>\n<stack_trace>at could.py:42</stack_trace>\n<stack_trace>at seem.py:198</stack_trace>\n<context>\n<user_id>7197800d-0acd-4eee-b9ab-24b5158dfa0a</user_id>\n<request_id>00c4c00d-dc22-4013-8495-1ed2381fc937</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\",\n  \"timestamp\": \"2026-01-07T13:51:25.462522\",\n  \"level\": \"ERROR\",\n  \"service\": \"winService\",\n  \"message\": \"Western energy project push building.\",\n  \"stack_trace\": [\n    \"at could.py:42\",\n    \"at seem.py:198\"\n  ],\n  \"context\": {\n    \"user_id\": \"7197800d-0acd-4eee-b9ab-24b5158dfa0a\",\n    \"request_id\": \"00c4c00d-dc22-4013-8495-1ed2381fc937\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate customer review data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-8075236</review_id>\n<product_id>PROD-326180</product_id>\n<user_id>e70c9373-b1ad-41a5-8939-e3c28041d8f5</user_id>\n<rating>4</rating>\n<title>Most teacher Mrs system watch.</title>\n<content>Address music major. Magazine three about. Security ready result improve.\nHand other collection name wife remain. Speech perhaps newspaper. Talk place third about writer billion physical.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>50</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.79764\",\n  \"title\": \"Progressive exuding adapter\",\n  \"authors\": [\n    {\n      \"name\": \"Gary Johnson\",\n      \"affiliation\": \"Wolf Group\",\n      \"email\": \"jamie40@example.org\"\n    },\n    {\n      \"name\": \"Lisa Ortega\",\n      \"affiliation\": \"Wells, Flores and Cooper\",\n      \"email\": \"nicholas25@example.com\"\n    },\n    {\n      \"name\": \"Kimberly Alvarez\",\n      \"affiliation\": \"Lewis-Hunt\",\n      \"email\": \"bookersteven@example.com\"\n    }\n  ],\n  \"abstract\": \"Win both purpose hour professor table.\",\n  \"keywords\": [\n    \"office\",\n    \"during\",\n    \"more\",\n    \"apply\",\n    \"program\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1780/NyHo\"\n  },\n  \"citations\": 258,\n  \"funding_source\": \"Espinoza, Khan and Lowe\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-7491627\npatient_mrn: MRN-679961\norder_date: '2026-01-04'\npanel: CMP\nresults:\n- test: Glucose\n  value: 60.4\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 129.5\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 64.9\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 56.3\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 110.0\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 61.5\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Visionary eco-centric methodology API\n  version: 1.0.0\npaths:\n  /edge:\n    get:\n      summary: Simple really social range.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate financial report data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Thompson, Yang and Roberts</company>\n<ticker>ATOM</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>59725729</revenue>\n<expenses>36274579</expenses>\n<net_income>7802792</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>17.46</profit_margin>\n<roe>22.69</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 3840938, \"\"growth\"\": 18.52}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1512471, \",,,,,February 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-1744\"\", \"\"sales\"\": 276633}, {\"\"sku\"\": \"\"SKU-5145\"\", \"\"sales\"\": 26445}, {\"\"sku\"\": \"\"SKU-9218\"\", \"\"sal\",2337421,23839\r\nGreen seek short necessary pull. Approach appear least town think order for. Let culture live baby s,\"[{\"\"name\"\": \"\"Jessica Franco\"\", \"\"affiliation\"\": \"\"Thompson, Kennedy and Reyes\"\", \"\"email\"\": \"\"vegarobin@exampl\",,132,Kirk Inc,\"[\"\"adult\"\", \"\"heart\"\", \"\"begin\"\", \"\"exist\"\"]\",arXiv:2020.58288,,10.5262/envA,Cell,2022,Reactive optimal structure,,,\r\nEnd couple seat. Research within two mother. Live continue keep point rate quickly yeah.,\"[{\"\"name\"\": \"\"Brian Adams\"\", \"\"affiliation\"\": \"\"Collins LLC\"\", \"\"email\"\": \"\"smccall@example.net\"\"}, {\"\"name\"\": \"\"Ch\",,342,None,\"[\"\"avoid\"\", \"\"discuss\"\", \"\"use\"\"]\",arXiv:2020.95844,,10.3567/eSvp,Science,2020,Advanced secondary customer loyalty,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4545863\"\npatient_mrn = \"MRN-926833\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 170.7\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 57.6\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 58.3\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 126.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 133.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"paper_id\": \"arXiv:2020.69453\",\n  \"title\": \"Assimilated needs-based portal\",\n  \"authors\": [\n    {\n      \"name\": \"Evan Reed\",\n      \"affiliation\": \"Orr, Wheeler and Johnson\",\n      \"email\": \"cheryl05@example.net\"\n    },\n    {\n      \"name\": \"Amanda Mcmahon\",\n      \"affiliation\": \"Maxwell-Price\",\n      \"email\": \"mbowen@example.org\"\n    },\n    {\n      \"name\": \"Angel Vasquez\",\n      \"affiliation\": \"Melendez, Osborne and Harris\",\n      \"email\": \"timothysutton@example.com\"\n    }\n  ],\n  \"abstract\": \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\",\n  \"keywords\": [\n    \"power\",\n    \"main\",\n    \"light\",\n    \"form\",\n    \"system\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.9550/gbOm\"\n  },\n  \"citations\": 115,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2020.69453\ntitle: Assimilated needs-based portal\nauthors:\n- name: Evan Reed\n  affiliation: Orr, Wheeler and Johnson\n  email: cheryl05@example.net\n- name: Amanda Mcmahon\n  affiliation: Maxwell-Price\n  email: mbowen@example.org\n- name: Angel Vasquez\n  affiliation: Melendez, Osborne and Harris\n  email: timothysutton@example.com\nabstract: Economy instead thank kitchen. For pattern he purpose strong goal challenge.\nkeywords:\n- power\n- main\n- light\n- form\n- system\npublication:\n  venue: Cell\n  year: 2024\n  doi: 10.9550/gbOm\ncitations: 115\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-500587,cohort,332,806,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 59.15, \"\"endpoint\"\": 80.7, \"\"p_value\"\": 0.0751}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of seem on put\r\nnon-significant,EXP-866330,RCT,189,113,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 21.66, \"\"endpoint\"\": 72.95, \"\"p_value\"\": 0.4354}, {\"\"metric\"\": \"\"safety\"\",\",Effect of she on appear\r\nnon-significant,EXP-755861,cohort,72,554,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 32.87, \"\"endpoint\"\": 56.17, \"\"p_value\"\": 0.0583}, {\"\"metric\"\": \"\"safety\"\",\",Effect of hospital on agent\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-640570,2026-01-06,\"[{\"\"name\"\": \"\"Mitchell-Clark\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Simmons-Marquez\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,52,450714\r\nCTR-402606,2026-01-02,\"[{\"\"name\"\": \"\"King and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jones Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,12,876689\r\nCTR-668906,2026-01-05,\"[{\"\"name\"\": \"\"Adams-Hudson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Greene-Petty\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,15,365324\r\nCTR-421340,2026-01-02,\"[{\"\"name\"\": \"\"West-Phillips\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Roberts and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,23,129621\r\nCTR-556308,2026-01-01,\"[{\"\"name\"\": \"\"Johnson-Bautista\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lopez, King and Lynn\"\", \"\"role\"\": \"\"party_b\"\"\",pending,22,84944\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion = \"non-significant\"\ntitle = \"Effect of put on cultural\"\nexperiment_id = \"EXP-182591\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 31.81\nendpoint = 94.75\np_value = 0.1765\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 35.49\nendpoint = 75.78\np_value = 0.2807\n\n[methodology]\ndesign = \"observational\"\nsample_size = 932\nduration_days = 253\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.95038\"\ntitle = \"Public-key leadingedge projection\"\nabstract = \"Threat his trouble just into effect example. Value television some may street. Wind require offer threat car.\"\nkeywords = [ \"money\", \"office\", \"operation\",]\ncitations = 467\nfunding_source = \"Ross, Rios and Munoz\"\n[[authors]]\nname = \"Christopher Vang\"\naffiliation = \"Wilson-Rodriguez\"\nemail = \"joseph12@example.com\"\n\n[[authors]]\nname = \"Karen Thompson\"\naffiliation = \"Palmer PLC\"\nemail = \"ruizbrian@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2020\ndoi = \"10.6300/pLVq\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-2341842\",\n  \"patient\": {\n    \"mrn\": \"MRN-739833\",\n    \"age\": 85,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-01\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"174/60\",\n    \"hr\": 60,\n    \"temp_f\": 98.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I65\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J29\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Brother agent radio might own development. Too strong minute building why. Cell so amount imagine si,,2026-01-03,14,,,,PROD-380257,4,REV-1132090,,,,,Young race true property less government.,251dc214-da1e-4fb5-8ea5-d107ad43f82c,False\r\nelectronics,,USD,,,True,Grass-roots incremental utilization,959.71,PROD-324946,3.78,,14,60x96x69cm,42.4,575,,,\r\nbooks,,USD,,,True,Synergistic interactive Local Area Network,326.43,PROD-224633,2.79,,246,32x33x47cm,42.9,442,,,\r\nclothing,,USD,,,True,Progressive coherent adapter,387.29,PROD-912802,1.68,,31,23x13x93cm,47.74,150,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-1132090\nproduct_id: PROD-380257\nuser_id: 251dc214-da1e-4fb5-8ea5-d107ad43f82c\nrating: 4\ntitle: Young race true property less government.\ncontent: 'Brother agent radio might own development. Too strong minute building why.\n  Cell so amount imagine simple.\n\n  Court every deal change allow last practice. Western far thus.'\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 14\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\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", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>92d36993-19b1-4c19-9b64-8b4669c6636f</error_id>\n<timestamp>2026-01-07T13:51:27.222487</timestamp>\n<level>WARNING</level>\n<service>voiceService</service>\n<message>Analysis beautiful attack blue eye.</message>\n<stack_trace>at well.py:163</stack_trace>\n<stack_trace>at will.py:421</stack_trace>\n<stack_trace>at run.py:384</stack_trace>\n<stack_trace>at TV.py:103</stack_trace>\n<context>\n<user_id>c92bcb8f-c109-47f8-aa13-b43737a1fc38</user_id>\n<request_id>f4cb6737-30c9-41ef-814b-34c3ec971deb</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncredits = 4\ncourse_id = \"CRS-7759\"\ninstructor = \"Matthew Johnson\"\n[[schedule]]\nweek = 1\ntopic = \"meet\"\n\n[[schedule]]\nweek = 2\ntopic = \"around\"\n\n[[schedule]]\nweek = 3\ntopic = \"college\"\n\n[[schedule]]\nweek = 4\ntopic = \"fly\"\n\n[[schedule]]\nweek = 5\ntopic = \"summer\"\n\n[[schedule]]\nweek = 6\ntopic = \"painting\"\n\n[[schedule]]\nweek = 7\ntopic = \"size\"\n\n[[schedule]]\nweek = 8\ntopic = \"off\"\n\n[[schedule]]\nweek = 9\ntopic = \"point\"\n\n[[schedule]]\nweek = 10\ntopic = \"light\"\n\n[[schedule]]\nweek = 11\ntopic = \"nothing\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9141\"\ncode = \"ESH384\"\ntitle = \"Inverse real-time hardware 101\"\ninstructor = \"Matthew Boyd\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"western\"\n\n[[schedule]]\nweek = 2\ntopic = \"since\"\n\n[[schedule]]\nweek = 3\ntopic = \"later\"\n\n[[schedule]]\nweek = 4\ntopic = \"next\"\n\n[[schedule]]\nweek = 5\ntopic = \"tree\"\n\n[[schedule]]\nweek = 6\ntopic = \"until\"\n\n[[schedule]]\nweek = 7\ntopic = \"everything\"\n\n[[schedule]]\nweek = 8\ntopic = \"until\"\n\n[[schedule]]\nweek = 9\ntopic = \"how\"\n\n[[schedule]]\nweek = 10\ntopic = \"test\"\n\n[[schedule]]\nweek = 11\ntopic = \"half\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-3982215\nproduct_id: PROD-143836\nuser_id: 0dd51960-e54b-4127-90d4-b32b17839969\nrating: 2\ntitle: Fight and building toward office.\ncontent: Hear media safe I visit language. Difference part thousand. Society inside\n  describe decision.\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 16\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>ff91c212-6cce-4ac2-978d-0740381882de</error_id>\n<timestamp>2026-01-07T13:51:27.679071</timestamp>\n<level>WARNING</level>\n<service>drawService</service>\n<message>Support red list product forget cut speak.</message>\n<stack_trace>at girl.py:186</stack_trace>\n<stack_trace>at hold.py:186</stack_trace>\n<context>\n<user_id>473e683b-291e-461f-b848-d224b7dcbd8b</user_id>\n<request_id>454a35ad-23ee-42a8-9d57-dbf5cedbef74</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"ff91c212-6cce-4ac2-978d-0740381882de\",\n  \"timestamp\": \"2026-01-07T13:51:27.679071\",\n  \"level\": \"WARNING\",\n  \"service\": \"drawService\",\n  \"message\": \"Support red list product forget cut speak.\",\n  \"stack_trace\": [\n    \"at girl.py:186\",\n    \"at hold.py:186\"\n  ],\n  \"context\": {\n    \"user_id\": \"473e683b-291e-461f-b848-d224b7dcbd8b\",\n    \"request_id\": \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-859155\"\nstudent_id = \"STU-376269\"\ncourse_id = \"CRS-9574\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 67\npercentage = 54.02\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nperiod = \"August 2022\"\ntotal_revenue = 3730772\nunits_sold = 51963\n[[channels]]\nname = \"online\"\nrevenue = 2386198\ngrowth = 19.95\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1753499\ngrowth = -7.5\n\n[[top_products]]\nsku = \"SKU-9096\"\nsales = 346038\n\n[[top_products]]\nsku = \"SKU-7079\"\nsales = 24366\n\n[[top_products]]\nsku = \"SKU-9068\"\nsales = 77203\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-95106885\"\ncustomer_id = \"9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\"\ntimestamp = \"2026-01-07T13:51:27.692524\"\nsubtotal = 793.41\ntax = 85.16\ntotal = 1645.24\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-33525\"\nqty = 3\nprice = 130.6\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2024.40808\",\n  \"title\": \"Versatile systematic infrastructure\",\n  \"authors\": [\n    {\n      \"name\": \"Andres Compton\",\n      \"affiliation\": \"Knight, Wyatt and Mccarty\",\n      \"email\": \"lawsontammy@example.org\"\n    },\n    {\n      \"name\": \"Michael Mcgrath\",\n      \"affiliation\": \"Garcia, Davis and Caldwell\",\n      \"email\": \"madison05@example.net\"\n    }\n  ],\n  \"abstract\": \"Face direction whom party go follow. According meet pick hit environmental resource glass.\",\n  \"keywords\": [\n    \"service\",\n    \"walk\",\n    \"although\",\n    \"several\",\n    \"against\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1740/TuDe\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Bautista, Saunders and Delgado\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.40808</paper_id>\n<title>Versatile systematic infrastructure</title>\n<authors>\n<name>Andres Compton</name>\n<affiliation>Knight, Wyatt and Mccarty</affiliation>\n<email>lawsontammy@example.org</email>\n</authors>\n<authors>\n<name>Michael Mcgrath</name>\n<affiliation>Garcia, Davis and Caldwell</affiliation>\n<email>madison05@example.net</email>\n</authors>\n<abstract>Face direction whom party go follow. According meet pick hit environmental resource glass.</abstract>\n<keywords>service</keywords>\n<keywords>walk</keywords>\n<keywords>although</keywords>\n<keywords>several</keywords>\n<keywords>against</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1740/TuDe</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Bautista, Saunders and Delgado</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-948175\",\n  \"student_id\": \"STU-160858\",\n  \"course_id\": \"CRS-5368\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 96.29,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.69453\"\ntitle = \"Assimilated needs-based portal\"\nabstract = \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\"\nkeywords = [ \"power\", \"main\", \"light\", \"form\", \"system\",]\ncitations = 115\n[[authors]]\nname = \"Evan Reed\"\naffiliation = \"Orr, Wheeler and Johnson\"\nemail = \"cheryl05@example.net\"\n\n[[authors]]\nname = \"Amanda Mcmahon\"\naffiliation = \"Maxwell-Price\"\nemail = \"mbowen@example.org\"\n\n[[authors]]\nname = \"Angel Vasquez\"\naffiliation = \"Melendez, Osborne and Harris\"\nemail = \"timothysutton@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.9550/gbOm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHill-Marsh,8.71,77071880,28.84,14.06,4141173,Q3 2024,46703834,ZFVR\r\n\"Wheeler, Christensen and Stewart\",1.31,79135038,21.97,24.44,8165689,Q4 2020,4587381,OZHP\r\nBailey and Sons,0.5,10457405,21.15,15.2,3578521,Q1 2022,78381258,HKTN\r\nSmith LLC,6.94,11963849,26.51,18.87,4704703,Q4 2023,12325641,DWGJ\r\nWilson-Hughes,2.72,55363307,8.7,6.29,13925539,Q2 2020,37000853,FAPR\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"042db0a1-c9b1-49a9-9d69-5247a8c47159\",\n  \"timestamp\": \"2026-01-07T13:51:27.377057\",\n  \"level\": \"ERROR\",\n  \"service\": \"whomService\",\n  \"message\": \"Each reality trip red enough tough common.\",\n  \"stack_trace\": [\n    \"at note.py:398\",\n    \"at purpose.py:452\",\n    \"at onto.py:106\",\n    \"at member.py:439\"\n  ],\n  \"context\": {\n    \"user_id\": \"70c0c786-0e43-42b2-8ec7-e975f39a71f7\",\n    \"request_id\": \"95ca942a-a33a-413f-b1a1-a21e12fa0f30\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.54593\ntitle: Front-line web-enabled moderator\nauthors:\n- name: Alexandra Orr\n  affiliation: Douglas LLC\n  email: amandaesparza@example.net\n- name: Diana Jones\n  affiliation: Morse Ltd\n  email: omar00@example.org\nabstract: Local civil call hear information. Medical practice bank include.\nkeywords:\n- feel\n- question\n- each\n- near\npublication:\n  venue: Cell\n  year: 2021\n  doi: 10.1833/TUoS\ncitations: 278\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-1384784\",\n  \"product_id\": \"PROD-499626\",\n  \"user_id\": \"4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9\",\n  \"rating\": 1,\n  \"title\": \"Respond out five.\",\n  \"content\": \"I stay little Democrat money where stop. Than development activity.\\nAlong ahead their standard early nor reason. Fight with minute learn soldier understand.\",\n  \"date\": \"2026-01-05\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 94\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1384784</review_id>\n<product_id>PROD-499626</product_id>\n<user_id>4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9</user_id>\n<rating>1</rating>\n<title>Respond out five.</title>\n<content>I stay little Democrat money where stop. Than development activity.\nAlong ahead their standard early nor reason. Fight with minute learn soldier understand.</content>\n<date>2026-01-05</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>94</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from CSV to TOML:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Southern write three operation throw interest whether.\nDecade quality training employee. Financial o\",244,8106,850,\"[\"\"#report\"\", \"\"#newspaper\"\"]\",facebook,POST-52722833,2026-01-07T13:51:26.716888,d42576ea-a78d-4261-852d-cbcc2fd55da5,justin96\r\nClaim all process significant night. Trade successful day all protect key character reality. Wind I ,355,270,592,\"[\"\"#generation\"\", \"\"#experience\"\"]\",twitter,POST-44196678,2026-01-07T13:51:26.719177,8211148c-5ca6-4095-be33-9fa87434f33e,martinwatson\r\n\"Arrive drop lay friend owner time. Any drop guess I deal continue artist.\nOfficer million human test\",61,4148,200,\"[\"\"#certainly\"\", \"\"#push\"\", \"\"#production\"\"]\",twitter,POST-86367942,2026-01-07T13:51:26.719544,6961d01a-d590-4a78-b2b6-abbb8652c7e0,melissaruiz\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-52722833\"\nplatform = \"facebook\"\nuser_id = \"d42576ea-a78d-4261-852d-cbcc2fd55da5\"\nusername = \"justin96\"\ncontent = \"Southern write three operation throw interest whether.\\nDecade quality training employee. Financial out position catch finish author. Past over in create.\\nNice reduce try contain future back customer.\"\ntimestamp = \"2026-01-07T13:51:26.716888\"\nhashtags = [ \"#report\", \"#newspaper\",]\n\n[engagement]\nlikes = 8106\nshares = 850\ncomments = 244\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-6293\"\ncode = \"LNH236\"\ntitle = \"Compatible composite portal 101\"\ninstructor = \"Carl Callahan\"\ncredits = 3\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"because\"\n\n[[schedule]]\nweek = 2\ntopic = \"lead\"\n\n[[schedule]]\nweek = 3\ntopic = \"then\"\n\n[[schedule]]\nweek = 4\ntopic = \"community\"\n\n[[schedule]]\nweek = 5\ntopic = \"manager\"\n\n[[schedule]]\nweek = 6\ntopic = \"difference\"\n\n[[schedule]]\nweek = 7\ntopic = \"eye\"\n\n[[schedule]]\nweek = 8\ntopic = \"majority\"\n\n[[schedule]]\nweek = 9\ntopic = \"old\"\n\n[[schedule]]\nweek = 10\ntopic = \"another\"\n\n[[schedule]]\nweek = 11\ntopic = \"common\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-9546377\",\n  \"product_id\": \"PROD-108034\",\n  \"user_id\": \"d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77\",\n  \"rating\": 4,\n  \"title\": \"Appear speak sure list.\",\n  \"content\": \"Today offer none role certain reach. Second Mr official enjoy movement turn city. Name employee early much first sit.\",\n  \"date\": \"2026-01-01\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 43\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9546377</review_id>\n<product_id>PROD-108034</product_id>\n<user_id>d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77</user_id>\n<rating>4</rating>\n<title>Appear speak sure list.</title>\n<content>Today offer none role certain reach. Second Mr official enjoy movement turn city. Name employee early much first sit.</content>\n<date>2026-01-01</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>43</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1988\"\ncode = \"VNO257\"\ntitle = \"Fully-configurable tangible Local Area Network 101\"\ninstructor = \"Rebecca Watkins\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"financial\"\n\n[[schedule]]\nweek = 2\ntopic = \"wait\"\n\n[[schedule]]\nweek = 3\ntopic = \"economic\"\n\n[[schedule]]\nweek = 4\ntopic = \"physical\"\n\n[[schedule]]\nweek = 5\ntopic = \"talk\"\n\n[[schedule]]\nweek = 6\ntopic = \"early\"\n\n[[schedule]]\nweek = 7\ntopic = \"weight\"\n\n[[schedule]]\nweek = 8\ntopic = \"a\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninfo:\n  title: Integrated scalable function API\n  version: 1.0.0\npaths:\n  /market:\n    get:\n      summary: These time call.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\nopenapi: 3.0.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-942707\nname: Organic demand-driven installation\ncategory: books\nprice: 698.66\ncurrency: USD\nstock: 819\nis_available: true\nrating: 4.45\nreviews: 103\nspecs:\n  weight_kg: 32.63\n  dimensions: 66x30x83cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-2983714\npatient_mrn: MRN-369371\norder_date: '2026-01-04'\npanel: CMP\nresults:\n- test: Hemoglobin\n  value: 97.6\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 60.0\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 172.2\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 145.9\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 83.4\n  unit: mg/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>534039</total_revenue>\n<units_sold>34851</units_sold>\n<channels>\n<name>retail</name>\n<revenue>707158</revenue>\n<growth>43.16</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2548868</revenue>\n<growth>26.24</growth>\n</channels>\n<top_products>\n<sku>SKU-6020</sku>\n<sales>18280</sales>\n</top_products>\n<top_products>\n<sku>SKU-3349</sku>\n<sales>458703</sales>\n</top_products>\n<top_products>\n<sku>SKU-8781</sku>\n<sales>265385</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 534039,\n  \"units_sold\": 34851,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 707158,\n      \"growth\": 43.16\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2548868,\n      \"growth\": 26.24\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6020\",\n      \"sales\": 18280\n    },\n    {\n      \"sku\": \"SKU-3349\",\n      \"sales\": 458703\n    },\n    {\n      \"sku\": \"SKU-8781\",\n      \"sales\": 265385\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-324198\",\n  \"parties\": [\n    {\n      \"name\": \"Alvarado-Barnes\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Lopez, Price and Melendez\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 34,\n  \"value\": 725205,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nservice = \"approachService\"\nstack_trace = [ \"at level.py:451\", \"at science.py:176\", \"at art.py:498\", \"at success.py:287\",]\nlevel = \"WARNING\"\nerror_id = \"d3f1548e-3d70-475b-a25a-df504add1be1\"\n\n[context]\nuser_id = \"fe05329e-c851-4258-9b5b-a5822613303b\"\nrequest_id = \"7878bb2d-6319-4d97-8924-bd0357b0788d\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-9279\",\n  \"code\": \"WQT213\",\n  \"title\": \"Ameliorated 3rdgeneration groupware 101\",\n  \"instructor\": \"Mariah Wilson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"together\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"statement\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"these\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"American\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"read\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"age\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"course\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9279</course_id>\n<code>WQT213</code>\n<title>Ameliorated 3rdgeneration groupware 101</title>\n<instructor>Mariah Wilson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>together</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>statement</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>these</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>American</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>read</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>age</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>course</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Intuitive explicit functionalities API\"\nversion = \"1.0.0\"\n\n[paths.\"/American\".get]\nsummary = \"Trial coach size rather.\"\n[[paths.\"/American\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/American\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/American\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/American\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9036427\"\npatient_mrn = \"MRN-461250\"\nprescriber = \"Zachary Berry\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output course syllabus as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1797</course_id>\n<code>QAA477</code>\n<title>User-friendly composite interface 101</title>\n<instructor>Selena Walker</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>all</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>education</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>will</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>operation</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>plan</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>allow</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Hardy-Nguyen\nticker: ZAMS\nquarter: Q3 2024\nrevenue: 23201336\nexpenses: 30350118\nnet_income: 14673850\neps: 3.22\nmetrics:\n  profit_margin: 18.82\n  roe: 21.21\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this YAML data into XML format:\nresult_id: LAB-4911961\npatient_mrn: MRN-250544\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n  value: 121.1\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 77.4\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 107.3\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 172.8\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 166.2\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 140.6\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 120.4\n  unit: mg/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4911961</result_id>\n<patient_mrn>MRN-250544</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>121.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>77.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>166.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>140.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-7317178\nheadline: Sharable 5thgeneration framework\nauthor: Judy Garner\npublished: '2026-01-07T07:35:28.380949'\nsection: Politics\ncontent: 'Cover whole myself late last month authority. Make away choose difficult.\n\n  Shoulder so support like let increase improve movie. Gun career hair necessary improve\n  operation detail.'\ntags:\n- cover\n- people\n- available\n- above\n- service\nviews: 84087\nshares: 2480\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Side grow week event. Long city consider son series.\nWell suddenly cover suffer fly. Peace improve t\",\"[{\"\"name\"\": \"\"Martin Walsh\"\", \"\"affiliation\"\": \"\"Campbell-Mayo\"\", \"\"email\"\": \"\"xreid@example.org\"\"}, {\"\"name\"\": \"\"T\",251,None,\"[\"\"pretty\"\", \"\"option\"\", \"\"lose\"\"]\",arXiv:2024.51326,10.8879/kBOz,Nature,2022,Operative composite product\r\nMessage idea shoulder traditional not popular affect professional.,\"[{\"\"name\"\": \"\"Jessica Leon\"\", \"\"affiliation\"\": \"\"Jenkins-Nolan\"\", \"\"email\"\": \"\"scottskinner@example.net\"\"}, {\"\"na\",212,Lopez-Taylor,\"[\"\"board\"\", \"\"at\"\", \"\"buy\"\"]\",arXiv:2024.94892,10.8363/oJgd,Cell,2020,Synchronized non-volatile encryption\r\nKnowledge to energy. Smile pass magazine evening contain service.,\"[{\"\"name\"\": \"\"Patricia Wilson\"\", \"\"affiliation\"\": \"\"Miller LLC\"\", \"\"email\"\": \"\"rpotter@example.org\"\"}, {\"\"name\"\": \",244,\"Wilson, Bishop and Hayes\",\"[\"\"into\"\", \"\"team\"\", \"\"right\"\"]\",arXiv:2024.54470,10.9885/IQLP,Science,2023,Organized 24/7 framework\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-896633,2026-01-03,\"[{\"\"name\"\": \"\"Smith-Cross\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carrillo and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,21,926875\r\nCTR-121068,2026-01-01,\"[{\"\"name\"\": \"\"Choi Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Davenport-James\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,33,684225\r\nCTR-369398,2026-01-06,\"[{\"\"name\"\": \"\"Suarez PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Buck-Anderson\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,22,464177\r\nCTR-410542,2026-01-01,\"[{\"\"name\"\": \"\"Espinoza, Ross and Cook\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hill-Velazquez\"\", \"\"role\"\": \"\"party_b\",active,31,691283\r\nCTR-549723,2026-01-04,\"[{\"\"name\"\": \"\"Patterson LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Martin Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,42,624523\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-942707\"\nname = \"Organic demand-driven installation\"\ncategory = \"books\"\nprice = 698.66\ncurrency = \"USD\"\nstock = 819\nis_available = true\nrating = 4.45\nreviews = 103\n\n[specs]\nweight_kg = 32.63\ndimensions = \"66x30x83cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Richard Ltd</company>\n<ticker>XHCL</ticker>\n<quarter>Q4 2020</quarter>\n<revenue>71255223</revenue>\n<expenses>54916122</expenses>\n<net_income>1190834</net_income>\n<eps>4.63</eps>\n<metrics>\n<profit_margin>14.39</profit_margin>\n<roe>19.33</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"234c0781-6e40-4e46-8b0d-ad1b39309eb0\",\n  \"timestamp\": \"2026-01-07T13:51:25.659911\",\n  \"level\": \"WARNING\",\n  \"service\": \"beyondService\",\n  \"message\": \"Section material entire top community.\",\n  \"stack_trace\": [\n    \"at reason.py:320\",\n    \"at always.py:365\",\n    \"at red.py:27\"\n  ],\n  \"context\": {\n    \"user_id\": \"6765bd92-f82e-426f-a383-fa0a088a0752\",\n    \"request_id\": \"4ccfb0b5-8185-4d26-902a-0379b3534400\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"424897c8-d97d-4bfb-9c1a-7b6e63fd6096\"\ntimestamp = \"2026-01-07T13:51:27.529237\"\nlevel = \"ERROR\"\nservice = \"heartService\"\nmessage = \"How these anyone stop indeed.\"\nstack_trace = [ \"at manage.py:289\", \"at thing.py:107\", \"at guy.py:172\", \"at seat.py:479\",]\n\n[context]\nuser_id = \"082cc3eb-3997-4d99-990c-f696ca4ee534\"\nrequest_id = \"0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2007174,\n  \"units_sold\": 24558,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 235807,\n      \"growth\": 46.03\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4419318,\n      \"growth\": 24.35\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6554\",\n      \"sales\": 258652\n    },\n    {\n      \"sku\": \"SKU-8652\",\n      \"sales\": 200091\n    },\n    {\n      \"sku\": \"SKU-9581\",\n      \"sales\": 65110\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-6224145\",\n  \"patient\": {\n    \"mrn\": \"MRN-560569\",\n    \"age\": 88,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"119/73\",\n    \"hr\": 63,\n    \"temp_f\": 100.0\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6224145</note_id>\n<patient>\n<mrn>MRN-560569</mrn>\n<age>88</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>119/73</bp>\n<hr>63</hr>\n<temp_f>100.0</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Integrated scalable function API\"\nversion = \"1.0.0\"\n\n[paths.\"/market\".get]\nsummary = \"These time call.\"\n[[paths.\"/market\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/market\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/market\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/market\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/market\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Intuitive disintermediate website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reality\": {\n      \"get\": {\n        \"summary\": \"Activity public whole paper there relationship tas\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-2317847</rx_id>\n<patient_mrn>MRN-412331</patient_mrn>\n<prescriber>Tammy Adams</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-2317847\",\n  \"patient_mrn\": \"MRN-412331\",\n  \"prescriber\": \"Tammy Adams\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal_score = 97\npercentage = 78.32\ncourse_id = \"CRS-4089\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate prescription data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1995080</rx_id>\n<patient_mrn>MRN-674224</patient_mrn>\n<prescriber>Emily Herrera</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert social media post from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3982215</review_id>\n<product_id>PROD-143836</product_id>\n<user_id>0dd51960-e54b-4127-90d4-b32b17839969</user_id>\n<rating>2</rating>\n<title>Fight and building toward office.</title>\n<content>Hear media safe I visit language. Difference part thousand. Society inside describe decision.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>16</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.69453</paper_id>\n<title>Assimilated needs-based portal</title>\n<authors>\n<name>Evan Reed</name>\n<affiliation>Orr, Wheeler and Johnson</affiliation>\n<email>cheryl05@example.net</email>\n</authors>\n<authors>\n<name>Amanda Mcmahon</name>\n<affiliation>Maxwell-Price</affiliation>\n<email>mbowen@example.org</email>\n</authors>\n<authors>\n<name>Angel Vasquez</name>\n<affiliation>Melendez, Osborne and Harris</affiliation>\n<email>timothysutton@example.com</email>\n</authors>\n<abstract>Economy instead thank kitchen. For pattern he purpose strong goal challenge.</abstract>\n<keywords>power</keywords>\n<keywords>main</keywords>\n<keywords>light</keywords>\n<keywords>form</keywords>\n<keywords>system</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.9550/gbOm</doi>\n</publication>\n<citations>115</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.69453\",\n  \"title\": \"Assimilated needs-based portal\",\n  \"authors\": [\n    {\n      \"name\": \"Evan Reed\",\n      \"affiliation\": \"Orr, Wheeler and Johnson\",\n      \"email\": \"cheryl05@example.net\"\n    },\n    {\n      \"name\": \"Amanda Mcmahon\",\n      \"affiliation\": \"Maxwell-Price\",\n      \"email\": \"mbowen@example.org\"\n    },\n    {\n      \"name\": \"Angel Vasquez\",\n      \"affiliation\": \"Melendez, Osborne and Harris\",\n      \"email\": \"timothysutton@example.com\"\n    }\n  ],\n  \"abstract\": \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\",\n  \"keywords\": [\n    \"power\",\n    \"main\",\n    \"light\",\n    \"form\",\n    \"system\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.9550/gbOm\"\n  },\n  \"citations\": 115,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-6204\"\ncode = \"WOR378\"\ntitle = \"Multi-channeled bi-directional implementation 101\"\ninstructor = \"Charlene Houston\"\ncredits = 4\nterm = \"Spring 2023\"\n[[schedule]]\nweek = 1\ntopic = \"under\"\n\n[[schedule]]\nweek = 2\ntopic = \"trade\"\n\n[[schedule]]\nweek = 3\ntopic = \"good\"\n\n[[schedule]]\nweek = 4\ntopic = \"grow\"\n\n[[schedule]]\nweek = 5\ntopic = \"ability\"\n\n[[schedule]]\nweek = 6\ntopic = \"experience\"\n\n[[schedule]]\nweek = 7\ntopic = \"offer\"\n\n[[schedule]]\nweek = 8\ntopic = \"account\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4765</course_id>\n<code>VMZ479</code>\n<title>Exclusive grid-enabled software 101</title>\n<instructor>Amy Baker</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>show</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>cut</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>international</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>since</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-6812810\npatient_mrn: MRN-631747\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: WBC\n  value: 54.3\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 70.8\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 59.6\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 140.8\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Leon-Lewis</company>\n<ticker>FGCI</ticker>\n<quarter>Q4 2022</quarter>\n<revenue>56885685</revenue>\n<expenses>46362888</expenses>\n<net_income>14538939</net_income>\n<eps>7.9</eps>\n<metrics>\n<profit_margin>25.04</profit_margin>\n<roe>5.27</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>424897c8-d97d-4bfb-9c1a-7b6e63fd6096</error_id>\n<timestamp>2026-01-07T13:51:27.529237</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>How these anyone stop indeed.</message>\n<stack_trace>at manage.py:289</stack_trace>\n<stack_trace>at thing.py:107</stack_trace>\n<stack_trace>at guy.py:172</stack_trace>\n<stack_trace>at seat.py:479</stack_trace>\n<context>\n<user_id>082cc3eb-3997-4d99-990c-f696ca4ee534</user_id>\n<request_id>0f3326d0-3afd-48c1-9c4d-32cc8b0c5920</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"424897c8-d97d-4bfb-9c1a-7b6e63fd6096\"\ntimestamp = \"2026-01-07T13:51:27.529237\"\nlevel = \"ERROR\"\nservice = \"heartService\"\nmessage = \"How these anyone stop indeed.\"\nstack_trace = [ \"at manage.py:289\", \"at thing.py:107\", \"at guy.py:172\", \"at seat.py:479\",]\n\n[context]\nuser_id = \"082cc3eb-3997-4d99-990c-f696ca4ee534\"\nrequest_id = \"0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"items\": [\n    {\n      \"sku\": \"SKU-89816\",\n      \"qty\": 1,\n      \"price\": 437.44\n    },\n    {\n      \"sku\": \"SKU-65650\",\n      \"qty\": 1,\n      \"price\": 455.72\n    },\n    {\n      \"sku\": \"SKU-98183\",\n      \"qty\": 3,\n      \"price\": 337.62\n    }\n  ],\n  \"total\": 1900.4,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nerror_id = \"6b141850-4372-44c1-8cf7-fc47780a5017\"\ntimestamp = \"2026-01-07T13:51:26.727039\"\nlevel = \"WARNING\"\nservice = \"fullService\"\nmessage = \"Simply human maintain sport.\"\nstack_trace = [ \"at environmental.py:351\", \"at develop.py:28\", \"at send.py:431\",]\n\n[context]\nuser_id = \"fad7b695-3fb8-4313-ad8d-c2b1d4034196\"\nrequest_id = \"2ca5c81e-d6c8-42a4-9e09-9715e928fe91\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>6b141850-4372-44c1-8cf7-fc47780a5017</error_id>\n<timestamp>2026-01-07T13:51:26.727039</timestamp>\n<level>WARNING</level>\n<service>fullService</service>\n<message>Simply human maintain sport.</message>\n<stack_trace>at environmental.py:351</stack_trace>\n<stack_trace>at develop.py:28</stack_trace>\n<stack_trace>at send.py:431</stack_trace>\n<context>\n<user_id>fad7b695-3fb8-4313-ad8d-c2b1d4034196</user_id>\n<request_id>2ca5c81e-d6c8-42a4-9e09-9715e928fe91</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Particularly myself court bring vote business boy lawyer. Economy name wonder thank a charge. Succes,,2026-01-04,17,,,,PROD-561113,2,REV-1417017,,,,,Miss entire student source like impact.,58368812-841f-4b65-a63f-bf59f81a4b62,False\r\nelectronics,,USD,,,True,Progressive explicit firmware,282.24,PROD-630832,1.82,,321,62x27x93cm,14.9,610,,,\r\nclothing,,USD,,,True,Ergonomic intangible productivity,190.24,PROD-476742,4.2,,46,22x54x55cm,5.36,935,,,\r\nbooks,,USD,,,True,Ameliorated next generation middleware,576.11,PROD-236753,1.21,,763,78x75x29cm,28.35,900,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4911961</result_id>\n<patient_mrn>MRN-250544</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>121.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>77.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>166.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>140.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-4911961\",\n  \"patient_mrn\": \"MRN-250544\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 121.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 77.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 107.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 166.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 140.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 120.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Harris Inc\nticker: KXNS\nquarter: Q2 2023\nrevenue: 96096321\nexpenses: 36366080\nnet_income: 6859279\neps: 2.68\nmetrics:\n  profit_margin: 18.37\n  roe: 11.92\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.79764\"\ntitle = \"Progressive exuding adapter\"\nabstract = \"Win both purpose hour professor table.\"\nkeywords = [ \"office\", \"during\", \"more\", \"apply\", \"program\",]\ncitations = 258\nfunding_source = \"Espinoza, Khan and Lowe\"\n[[authors]]\nname = \"Gary Johnson\"\naffiliation = \"Wolf Group\"\nemail = \"jamie40@example.org\"\n\n[[authors]]\nname = \"Lisa Ortega\"\naffiliation = \"Wells, Flores and Cooper\"\nemail = \"nicholas25@example.com\"\n\n[[authors]]\nname = \"Kimberly Alvarez\"\naffiliation = \"Lewis-Hunt\"\nemail = \"bookersteven@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2023\ndoi = \"10.1780/NyHo\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-28879814\"\ncustomer_id = \"b13e97b5-e84b-41ec-9dea-05b4809cdd35\"\ntimestamp = \"2026-01-07T13:51:25.895711\"\nsubtotal = 994.66\ntax = 143.59\ntotal = 1762.36\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-36351\"\nqty = 1\nprice = 310.41\n\n[[items]]\nsku = \"SKU-26629\"\nqty = 2\nprice = 119.44\n\n[[items]]\nsku = \"SKU-75447\"\nqty = 3\nprice = 127.79\n\n[[items]]\nsku = \"SKU-81003\"\nqty = 3\nprice = 336.59\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-852879\"\nstudent_id = \"STU-517758\"\ncourse_id = \"CRS-9070\"\ntype = \"exam\"\ndate = \"2026-01-04\"\ntotal_score = 58\npercentage = 53.23\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nCard these member kid western growth. Staff draw say early town general. Large break interesting ten,294,464,699,\"[\"\"#deep\"\", \"\"#yes\"\", \"\"#long\"\", \"\"#including\"\"]\",instagram,POST-54622203,2026-01-07T13:51:25.504049,1456e108-0a50-4482-8f1a-b1cb2398a121,fullersteven\r\n\"Available same impact modern research high bring where. Crime art walk meet early kid detail.\nBoy ta\",406,1745,944,\"[\"\"#tonight\"\", \"\"#day\"\"]\",twitter,POST-63151603,2026-01-07T13:51:25.505558,8eab6869-cfb5-44f4-b22a-e766ef53cd85,lrobbins\r\n\"Camera either green phone type natural color. Wide positive report view list.\nWay important study ge\",412,5027,586,\"[\"\"#stop\"\", \"\"#impact\"\", \"\"#hot\"\"]\",twitter,POST-53467523,2026-01-07T13:51:25.505853,310c991c-0db8-40d4-9ac3-f76edf194e51,michael87\r\nRelationship late wide rest. Turn how by hold detail scientist war. Shake yourself forget floor try ,252,988,945,\"[\"\"#support\"\", \"\"#accept\"\", \"\"#policy\"\"]\",facebook,POST-83879779,2026-01-07T13:51:25.506108,c0658898-82a5-4ca8-829d-035bd723f496,donald76\r\nMany friend feeling worker hot listen I crime. Including help fine born tonight certainly suddenly. ,97,8792,910,\"[\"\"#side\"\", \"\"#billion\"\", \"\"#product\"\", \"\"#will\"\"]\",instagram,POST-39983849,2026-01-07T13:51:25.506459,72bd7eaa-0370-4c56-afb1-93f31cd2fa41,eddiedavis\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nperiod = \"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"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2022</period>\n<total_revenue>7456708</total_revenue>\n<units_sold>82349</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3622404</revenue>\n<growth>-8.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1893923</revenue>\n<growth>2.21</growth>\n</channels>\n<top_products>\n<sku>SKU-2073</sku>\n<sales>98550</sales>\n</top_products>\n<top_products>\n<sku>SKU-3707</sku>\n<sales>233488</sales>\n</top_products>\n<top_products>\n<sku>SKU-7843</sku>\n<sales>172526</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nEconomy instead thank kitchen. For pattern he purpose strong goal challenge.,\"[{\"\"name\"\": \"\"Evan Reed\"\", \"\"affiliation\"\": \"\"Orr, Wheeler and Johnson\"\", \"\"email\"\": \"\"cheryl05@example.net\"\"}, \",115,None,\"[\"\"power\"\", \"\"main\"\", \"\"light\"\", \"\"form\"\", \"\"system\"\"]\",arXiv:2020.69453,10.9550/gbOm,Cell,2024,Assimilated needs-based portal\r\n\"Machine property natural pay set.\nAttention system leg organization suddenly few rule. Catch blue me\",\"[{\"\"name\"\": \"\"Nancy Barr\"\", \"\"affiliation\"\": \"\"Perez-Garcia\"\", \"\"email\"\": \"\"fnguyen@example.org\"\"}, {\"\"name\"\": \"\"St\",357,Davis Group,\"[\"\"involve\"\", \"\"only\"\", \"\"minute\"\", \"\"behind\"\", \"\"just\"\"]\",arXiv:2024.93265,10.2252/kabX,Science,2020,Open-source 5thgeneration algorithm\r\nForward consumer term bed require experience. Understand game capital research speak officer. Whole ,\"[{\"\"name\"\": \"\"Kim Kelly\"\", \"\"affiliation\"\": \"\"Lewis Inc\"\", \"\"email\"\": \"\"andrewharding@example.net\"\"}, {\"\"name\"\": \"\"\",174,Smith-Garcia,\"[\"\"they\"\", \"\"I\"\", \"\"get\"\", \"\"more\"\"]\",arXiv:2021.79681,10.1750/SNwV,Cell,2020,Virtual static conglomeration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need clinical note details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K80\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K73\"\"}]\",fever,2026-01-03,CN-6662058,,,,172/75,74,98.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I82\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J35\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-04,CN-6937536,23,F,MRN-856253,112/82,64,100.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I74\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I68\"\"}]\",fever,2026-01-01,CN-9950924,69,M,MRN-709305,167/66,118,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J80\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J72\"\"}]\",fever,2026-01-03,CN-9439164,42,M,MRN-778868,180/109,69,97.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I22\"\"}]\",chest pain,2026-01-03,CN-2242707,20,F,MRN-127305,120/108,67,99.8\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-475777</assessment_id>\n<student_id>STU-613124</student_id>\n<course_id>CRS-2241</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>81.54</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1462829,Christopher Osborne,Hotel house drop enough. Grow yard goal happen inside social. How room guess light. Serious hard whe,Customizable solution-oriented complexity,2026-01-03T02:05:31.841201,Business,270,\"[\"\"important\"\", \"\"identify\"\", \"\"quickly\"\", \"\"theory\"\"]\",62723\r\nART-6321319,Scott Lamb,\"Enter point throw practice college note identify. Whom shake address leg central help.\nFly life toda\",Enterprise-wide interactive adapter,2026-01-02T07:46:13.027334,Tech,1689,\"[\"\"send\"\", \"\"part\"\", \"\"traditional\"\", \"\"room\"\"]\",57029\r\nART-3941922,Matthew Allen,Republican shoulder citizen yeah bank really cultural color. Instead dog city performance sense lawy,Multi-layered foreground conglomeration,2026-01-04T19:40:53.521052,Sports,2431,\"[\"\"set\"\", \"\"guess\"\", \"\"cost\"\"]\",91554\r\nART-4101881,Julia Torres,\"Increase wish standard he Congress.\nBit television little all easy. Sure population type different m\",Object-based bi-directional policy,2026-01-05T00:40:45.327397,Tech,1271,\"[\"\"quite\"\", \"\"ready\"\", \"\"character\"\", \"\"agreement\"\", \"\"lose\"\"]\",59590\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5523111\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-817642</assessment_id>\n<student_id>STU-222420</student_id>\n<course_id>CRS-8326</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>60</total_score>\n<percentage>56.31</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-817642\",\n  \"student_id\": \"STU-222420\",\n  \"course_id\": \"CRS-8326\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 60,\n  \"percentage\": 56.31,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-739435\"\nstudent_id = \"STU-362941\"\ncourse_id = \"CRS-9265\"\ntype = \"exam\"\ndate = \"2026-01-04\"\ntotal_score = 94\npercentage = 84.32\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Cloned 24hour system engine,392.99,PROD-268757,2.07,928,93x13x100cm,29.27,834\r\nbooks,USD,True,Progressive full-range conglomeration,433.36,PROD-716422,4.49,498,26x88x20cm,10.45,530\r\nclothing,USD,True,Devolved bi-directional open architecture,177.11,PROD-263253,3.17,990,66x29x72cm,3.38,634\r\nbooks,USD,True,Focused stable data-warehouse,111.94,PROD-515879,3.54,475,16x36x100cm,34.24,909\r\nbooks,USD,True,Multi-channeled 24hour function,234.61,PROD-171550,3.06,936,10x16x82cm,37.78,812\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J39\"\"}]\",fever,2026-01-05,CN-8293808,24,F,MRN-980604,150/98,93,102.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J48\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K24\"\"}, {\"\"problem\",headache,2026-01-02,CN-6513905,90,F,MRN-241562,140/81,119,103.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J44\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K52\"\"}]\",fever,2026-01-03,CN-4759765,84,M,MRN-475659,118/72,100,97.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K60\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J24\"\"}]\",chest pain,2026-01-02,CN-3596414,74,F,MRN-647661,136/93,95,97.6\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-20904368\",\n  \"customer_id\": \"3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\",\n  \"timestamp\": \"2026-01-07T13:51:27.778783\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-59380\",\n      \"qty\": 2,\n      \"price\": 447.63\n    },\n    {\n      \"sku\": \"SKU-56357\",\n      \"qty\": 4,\n      \"price\": 130.56\n    },\n    {\n      \"sku\": \"SKU-96740\",\n      \"qty\": 2,\n      \"price\": 230.78\n    },\n    {\n      \"sku\": \"SKU-55928\",\n      \"qty\": 1,\n      \"price\": 169.07\n    }\n  ],\n  \"subtotal\": 1853.52,\n  \"tax\": 74.51,\n  \"total\": 1419.49,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-20904368</txn_id>\n<customer_id>3fe35528-f72a-4e45-bcf8-f7cb059fe7e5</customer_id>\n<timestamp>2026-01-07T13:51:27.778783</timestamp>\n<items>\n<sku>SKU-59380</sku>\n<qty>2</qty>\n<price>447.63</price>\n</items>\n<items>\n<sku>SKU-56357</sku>\n<qty>4</qty>\n<price>130.56</price>\n</items>\n<items>\n<sku>SKU-96740</sku>\n<qty>2</qty>\n<price>230.78</price>\n</items>\n<items>\n<sku>SKU-55928</sku>\n<qty>1</qty>\n<price>169.07</price>\n</items>\n<subtotal>1853.52</subtotal>\n<tax>74.51</tax>\n<total>1419.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate research paper data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.40808</paper_id>\n<title>Versatile systematic infrastructure</title>\n<authors>\n<name>Andres Compton</name>\n<affiliation>Knight, Wyatt and Mccarty</affiliation>\n<email>lawsontammy@example.org</email>\n</authors>\n<authors>\n<name>Michael Mcgrath</name>\n<affiliation>Garcia, Davis and Caldwell</affiliation>\n<email>madison05@example.net</email>\n</authors>\n<abstract>Face direction whom party go follow. According meet pick hit environmental resource glass.</abstract>\n<keywords>service</keywords>\n<keywords>walk</keywords>\n<keywords>although</keywords>\n<keywords>several</keywords>\n<keywords>against</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1740/TuDe</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Bautista, Saunders and Delgado</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Fully-configurable analyzing instruction set API\"\nversion = \"1.0.0\"\n\n[paths.\"/he\".get]\nsummary = \"Student wind item media rather.\"\n[[paths.\"/he\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/he\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/he\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-942720,cohort,54,645,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 79.64, \"\"endpoint\"\": 26.86, \"\"p_value\"\": 0.2863}, {\"\"metric\"\": \"\"safety\"\",\",Effect of edge on when\r\nnon-significant,EXP-675903,RCT,91,295,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 67.47, \"\"endpoint\"\": 27.82, \"\"p_value\"\": 0.3043}, {\"\"metric\"\": \"\"efficacy\",Effect of state on parent\r\nnon-significant,EXP-554828,RCT,185,796,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 73.22, \"\"endpoint\"\": 12.15, \"\"p_value\"\": 0.241}, {\"\"metric\"\": \"\"efficac\",Effect of course on protect\r\nnon-significant,EXP-940975,RCT,81,638,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 96.66, \"\"endpoint\"\": 91.98, \"\"p_value\"\": 0.1953}, {\"\"metric\"\": \"\"safety\"\",\",Effect of sort on similar\r\nsignificant,EXP-586715,observational,173,534,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 93.08, \"\"endpoint\"\": 21.72, \"\"p_value\"\": 0.1735}, {\"\"metric\"\": \"\"efficacy\",Effect of grow on opportunity\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id: EXP-942720\ntitle: Effect of edge on when\nmethodology:\n  design: cohort\n  sample_size: 645\n  duration_days: 54\nresults:\n- metric: safety\n  baseline: 79.64\n  endpoint: 26.86\n  p_value: 0.2863\n- metric: safety\n  baseline: 55.57\n  endpoint: 59.78\n  p_value: 0.1705\n- metric: efficacy\n  baseline: 30.69\n  endpoint: 27.4\n  p_value: 0.1116\n- metric: efficacy\n  baseline: 32.07\n  endpoint: 35.79\n  p_value: 0.1946\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate clinical note data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8293808</note_id>\n<patient>\n<mrn>MRN-980604</mrn>\n<age>24</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>150/98</bp>\n<hr>93</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J39</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint = \"chest pain\"\nnote_id = \"CN-6154695\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K41\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J91\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J64\"\n\n[vitals]\nbp = \"97/107\"\nhr = 107\ntemp_f = 99.6\n\n[patient]\nmrn = \"MRN-705297\"\nage = 67\ngender = \"F\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-535894\"\nstudent_id = \"STU-934945\"\ncourse_id = \"CRS-4268\"\ntype = \"assignment\"\ndate = \"2026-01-05\"\ntotal_score = 92\npercentage = 97.33\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-482875\nstudent_id: STU-646713\ncourse_id: CRS-2679\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 7\n  points_possible: 10\n- question: 5\n  points_earned: 3\n  points_possible: 10\n- question: 6\n  points_earned: 8\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 9\n  points_possible: 10\n- question: 10\n  points_earned: 8\n  points_possible: 10\ntotal_score: 62\npercentage: 98.87\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate news article data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-6180455\"\nheadline = \"Grass-roots multi-tasking hub\"\nauthor = \"David Espinoza\"\npublished = \"2026-01-07T13:20:10.771283\"\nsection = \"Politics\"\ncontent = \"Either large lot east. Show everybody away city election happy my. Believe left sure mother.\\nWhom game determine road little. Sing this character. Agent fill kitchen themselves agreement.\\nWoman draw budget stage. Star cultural old president where national success.\"\ntags = [ \"size\", \"commercial\", \"president\", \"city\", \"expect\",]\nviews = 43396\nshares = 2564\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-324198\nparties:\n- name: Alvarado-Barnes\n  role: party_a\n- name: Lopez, Price and Melendez\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 34\nvalue: 725205\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 8086751\nunits_sold: 71190\nchannels:\n- name: wholesale\n  revenue: 1341728\n  growth: 39.05\n- name: online\n  revenue: 214429\n  growth: 32.35\ntop_products:\n- sku: SKU-2205\n  sales: 145682\n- sku: SKU-7005\n  sales: 280084\n- sku: SKU-4811\n  sales: 311170\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Configurable contextually-based knowledgebase API\"\nversion = \"1.0.0\"\n\n[paths.\"/truth\".get]\nsummary = \"Guess purpose top debate hear where.\"\n[[paths.\"/truth\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/truth\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/truth\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-59995807</txn_id>\n<customer_id>0d66cadd-c42f-4e9b-ae40-46d71f47623d</customer_id>\n<timestamp>2026-01-07T13:51:27.084892</timestamp>\n<items>\n<sku>SKU-83766</sku>\n<qty>4</qty>\n<price>55.35</price>\n</items>\n<items>\n<sku>SKU-77209</sku>\n<qty>2</qty>\n<price>217.97</price>\n</items>\n<items>\n<sku>SKU-11210</sku>\n<qty>5</qty>\n<price>436.04</price>\n</items>\n<subtotal>1600.85</subtotal>\n<tax>34.84</tax>\n<total>602.79</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-554535,,CRS-9992,,2026-01-03,B,,,,,63.99,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 9, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-693793,,,86,exam\r\n,TNY218,CRS-7794,4,,,40,30,30,Kara Bennett,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"present\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"arrive\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"school\"\"}, {\"\"\",,,Spring 2023,Monitored mobile analyzer 101,,\r\n,ZDW419,CRS-8967,3,,,40,30,30,Cheryl Downs,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"form\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"important\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"enter\"\"}, {\"\"w\",,,Spring 2022,Profit-focused intangible neural-net 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-554535\"\nstudent_id = \"STU-693793\"\ncourse_id = \"CRS-9992\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 86\npercentage = 63.99\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnet_income: 4233102\nmetrics:\n  profit_margin: 14.29\n  roe: 18.28\ncompany: Blackwell, Simpson and Pace\neps: 0.79\nexpenses: 41343491\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: White, Porter and Johnson\nticker: IARX\nquarter: Q3 2022\nrevenue: 73048332\nexpenses: 64714004\nnet_income: 11188781\neps: 7.68\nmetrics:\n  profit_margin: 18.04\n  roe: 24.88\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-449984,2026-01-04,\"[{\"\"name\"\": \"\"Garcia-Henson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Moore LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,49,694475\r\nCTR-397079,2026-01-06,\"[{\"\"name\"\": \"\"Johnson LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Powers Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,46,361849\r\nCTR-657773,2026-01-02,\"[{\"\"name\"\": \"\"Taylor, Harrison and Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Saunders-Hayes\"\", \"\"role\"\": \"\"part\",pending,30,143616\r\nCTR-615113,2026-01-01,\"[{\"\"name\"\": \"\"Brown, Walker and Walker\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Doyle, Padilla and Collins\"\", \"\"ro\",executed,22,439851\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1052\"\ncode = \"SYO247\"\ntitle = \"Open-source uniform portal 101\"\ninstructor = \"Wesley Johnson\"\ncredits = 4\nterm = \"Spring 2023\"\n[[schedule]]\nweek = 1\ntopic = \"either\"\n\n[[schedule]]\nweek = 2\ntopic = \"protect\"\n\n[[schedule]]\nweek = 3\ntopic = \"news\"\n\n[[schedule]]\nweek = 4\ntopic = \"positive\"\n\n[[schedule]]\nweek = 5\ntopic = \"book\"\n\n[[schedule]]\nweek = 6\ntopic = \"state\"\n\n[[schedule]]\nweek = 7\ntopic = \"upon\"\n\n[[schedule]]\nweek = 8\ntopic = \"reality\"\n\n[[schedule]]\nweek = 9\ntopic = \"toward\"\n\n[[schedule]]\nweek = 10\ntopic = \"minute\"\n\n[[schedule]]\nweek = 11\ntopic = \"short\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,term,title\r\nASMT-453812,,CRS-9368,,,,,,68.59,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",,\r\n,FVM153,CRS-6488,4,40,30,30,Amanda Klein,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"past\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bar\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"reveal\"\"}, {\"\"week\"\":\",,Fall 2023,Open-architected grid-enabled monitoring 101\r\n,WZR295,CRS-3107,3,40,30,30,Miss Kimberly Lynch,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"growth\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"research\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"relationshi\",,Fall 2024,Intuitive zero administration focus group 101\r\n,YIL391,CRS-1193,3,40,30,30,Evan Li,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"education\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"staff\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"tree\"\"}, {\"\"w\",,Spring 2020,Synergized incremental forecast 101\r\n,HXV292,CRS-6548,3,40,30,30,Richard Suarez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bad\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"marriage\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"worker\"\"}, {\"\"we\",,Fall 2021,Multi-tiered motivating throughput 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date = \"2026-01-04\"\npanel = \"CMP\"\nresult_id = \"LAB-8106223\"\npatient_mrn = \"MRN-969104\"\n[[results]]\ntest = \"WBC\"\nvalue = 136.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 60.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 81.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 106.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 184.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 155.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 148.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n681a59bc-1151-4d49-8e75-1af0878315cb,\"[{\"\"sku\"\": \"\"SKU-50616\"\", \"\"qty\"\": 3, \"\"price\"\": 180.94}, {\"\"sku\"\": \"\"SKU-82812\"\", \"\"qty\"\": 5, \"\"price\"\": 490.31}]\",credit_card,948.16,93.65,2026-01-07T13:51:26.087659,1389.7,TXN-98000345\r\ndc509191-62a7-44ae-a2ab-da6cec5f8979,\"[{\"\"sku\"\": \"\"SKU-22697\"\", \"\"qty\"\": 2, \"\"price\"\": 448.84}, {\"\"sku\"\": \"\"SKU-56792\"\", \"\"qty\"\": 5, \"\"price\"\": 381.22}]\",apple_pay,702.77,170.87,2026-01-07T13:51:26.088644,1080.03,TXN-11419070\r\n28deb733-3707-49e4-ba0a-6dd69946ff62,\"[{\"\"sku\"\": \"\"SKU-12511\"\", \"\"qty\"\": 3, \"\"price\"\": 86.7}, {\"\"sku\"\": \"\"SKU-20037\"\", \"\"qty\"\": 1, \"\"price\"\": 221.54}]\",paypal,1272.6,154.45,2026-01-07T13:51:26.088726,1509.73,TXN-59684037\r\ne0045088-d8a1-49df-9b9b-3f4b41c4c539,\"[{\"\"sku\"\": \"\"SKU-38820\"\", \"\"qty\"\": 5, \"\"price\"\": 229.12}, {\"\"sku\"\": \"\"SKU-78522\"\", \"\"qty\"\": 3, \"\"price\"\": 81.24}]\",paypal,1662.99,25.52,2026-01-07T13:51:26.088769,1317.08,TXN-28300223\r\n591fa43f-4fbe-456b-9faf-2ba197d3b76c,\"[{\"\"sku\"\": \"\"SKU-89088\"\", \"\"qty\"\": 2, \"\"price\"\": 198.99}, {\"\"sku\"\": \"\"SKU-45884\"\", \"\"qty\"\": 3, \"\"price\"\": 497.4}]\",paypal,1873.81,58.47,2026-01-07T13:51:26.088805,1465.25,TXN-31534749\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 906832, \"\"growth\"\": -8.93}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2437365, \"\"\",,,,,May 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-7032\"\", \"\"sales\"\": 420063}, {\"\"sku\"\": \"\"SKU-9360\"\", \"\"sales\"\": 149398}, {\"\"sku\"\": \"\"SKU-9440\"\", \"\"sa\",9864225,74086\r\nFood true outside draw. Relationship these by shake watch man. Ground recognize some which hot proba,\"[{\"\"name\"\": \"\"Andrew Smith\"\", \"\"affiliation\"\": \"\"Knapp PLC\"\", \"\"email\"\": \"\"henrymike@example.com\"\"}, {\"\"name\"\": \"\"J\",,370,None,\"[\"\"fill\"\", \"\"five\"\", \"\"better\"\"]\",arXiv:2023.17745,,10.4215/DDGD,Cell,2021,Upgradable well-modulated leverage,,,\r\nClaim garden recognize mind occur management prove area. Whose how letter give. Include nature budge,\"[{\"\"name\"\": \"\"Michael House\"\", \"\"affiliation\"\": \"\"Hancock, Clark and Franklin\"\", \"\"email\"\": \"\"makaylasmith@exam\",,3,None,\"[\"\"third\"\", \"\"market\"\", \"\"action\"\", \"\"I\"\", \"\"natural\"\"]\",arXiv:2024.21255,,10.3222/fqKt,Cell,2021,Distributed leadingedge complexity,,,\r\n\"Hospital you leave lawyer open affect. Hour such human open list grow.\nOn short off month political \",\"[{\"\"name\"\": \"\"Laurie Flynn\"\", \"\"affiliation\"\": \"\"Lyons PLC\"\", \"\"email\"\": \"\"wattspaige@example.net\"\"}, {\"\"name\"\": \"\"\",,487,\"Mclaughlin, Higgins and Fox\",\"[\"\"feeling\"\", \"\"author\"\", \"\"me\"\", \"\"then\"\", \"\"physical\"\"]\",arXiv:2021.29106,,10.9021/fLSB,Nature,2022,Realigned attitude-oriented workforce,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n59380938-357c-4ae5-aa88-2ceb1bc7b532,\"[{\"\"sku\"\": \"\"SKU-36180\"\", \"\"qty\"\": 2, \"\"price\"\": 233.08}, {\"\"sku\"\": \"\"SKU-30422\"\", \"\"qty\"\": 5, \"\"price\"\": 50.84}, {\"\"\",credit_card,1105.52,160.6,2026-01-06T09:43:32.112469,2044.99,TXN-41210216\r\n579e8653-8189-4a8a-9ff1-0849207cf028,\"[{\"\"sku\"\": \"\"SKU-66499\"\", \"\"qty\"\": 4, \"\"price\"\": 274.48}]\",paypal,390.1,28.39,2026-01-06T09:43:32.116765,1746.62,TXN-88623179\r\nff554fba-7c1d-4e19-9656-2f9e8adfba26,\"[{\"\"sku\"\": \"\"SKU-57025\"\", \"\"qty\"\": 1, \"\"price\"\": 179.81}, {\"\"sku\"\": \"\"SKU-12015\"\", \"\"qty\"\": 3, \"\"price\"\": 263.17}, {\",credit_card,1847.81,93.23,2026-01-06T09:43:32.116899,1653.66,TXN-16573114\r\n4965dcfa-ea60-4f8d-a53f-08600fcdf515,\"[{\"\"sku\"\": \"\"SKU-27441\"\", \"\"qty\"\": 4, \"\"price\"\": 314.52}]\",apple_pay,641.83,29.89,2026-01-06T09:43:32.117008,1595.92,TXN-98253764\r\n416b0218-eb31-4e0d-8810-fcfd7d53c2d7,\"[{\"\"sku\"\": \"\"SKU-47389\"\", \"\"qty\"\": 2, \"\"price\"\": 366.35}]\",credit_card,1763.75,7.39,2026-01-06T09:43:32.117111,1822.25,TXN-72496872\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"patient_mrn\": \"MRN-119365\",\n  \"order_date\": \"2026-01-05\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 134.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 69.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 85.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 69.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 79.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate clinical note data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7937835</note_id>\n<patient>\n<mrn>MRN-749785</mrn>\n<age>66</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>179/85</bp>\n<hr>81</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I52</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J76</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.76000\"\ntitle = \"Exclusive human-resource methodology\"\nabstract = \"Save member effort election science. Game star because history hospital those.\"\nkeywords = [ \"before\", \"reason\", \"team\", \"performance\",]\ncitations = 140\n[[authors]]\nname = \"Dustin Sweeney\"\naffiliation = \"Miller LLC\"\nemail = \"perezsarah@example.net\"\n\n[[authors]]\nname = \"Sarah King\"\naffiliation = \"Jenkins PLC\"\nemail = \"qcole@example.org\"\n\n[[authors]]\nname = \"Greg Roth\"\naffiliation = \"Dunn-Owens\"\nemail = \"stephanieshah@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2021\ndoi = \"10.8081/Wccn\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id = \"CRS-7645\"\ncode = \"OXE193\"\ntitle = \"Programmable grid-enabled service-desk 101\"\ninstructor = \"Nicole Blair\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"box\"\n\n[[schedule]]\nweek = 2\ntopic = \"success\"\n\n[[schedule]]\nweek = 3\ntopic = \"table\"\n\n[[schedule]]\nweek = 4\ntopic = \"north\"\n\n[[schedule]]\nweek = 5\ntopic = \"quite\"\n\n[[schedule]]\nweek = 6\ntopic = \"fine\"\n\n[[schedule]]\nweek = 7\ntopic = \"fall\"\n\n[[schedule]]\nweek = 8\ntopic = \"else\"\n\n[[schedule]]\nweek = 9\ntopic = \"wall\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-2341842\"\nencounter_date = \"2026-01-01\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I65\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J29\"\n\n[patient]\nmrn = \"MRN-739833\"\nage = 85\ngender = \"F\"\n\n[vitals]\nbp = \"174/60\"\nhr = 60\ntemp_f = 98.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-25055870\"\nplatform = \"twitter\"\nuser_id = \"28837af0-4898-41b2-8a38-faf0e2d7f431\"\nusername = \"khahn\"\ncontent = \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\"\ntimestamp = \"2026-01-07T13:51:27.403909\"\nhashtags = [ \"#conference\", \"#body\",]\n\n[engagement]\nlikes = 9394\nshares = 444\ncomments = 203\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-33796851\nplatform: instagram\nuser_id: aa32cdd3-72c6-4e38-bd5e-ff3918321d73\nusername: qtownsend\ncontent: List floor whatever fly. Play represent five my. Stuff area push other begin\n  team. Wind leg require represent.\ntimestamp: '2026-01-07T13:51:26.038556'\nhashtags:\n- '#study'\n- '#able'\n- '#week'\nengagement:\n  likes: 3006\n  shares: 53\n  comments: 61\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-32645861</post_id>\n<platform>facebook</platform>\n<user_id>b5521d05-1410-43ee-b828-2c240f95461c</user_id>\n<username>yanderson</username>\n<content>Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.</content>\n<timestamp>2026-01-07T13:51:27.526455</timestamp>\n<hashtags>#door</hashtags>\n<hashtags>#relate</hashtags>\n<engagement>\n<likes>5828</likes>\n<shares>957</shares>\n<comments>117</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-32645861\"\nplatform = \"facebook\"\nuser_id = \"b5521d05-1410-43ee-b828-2c240f95461c\"\nusername = \"yanderson\"\ncontent = \"Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.\"\ntimestamp = \"2026-01-07T13:51:27.526455\"\nhashtags = [ \"#door\", \"#relate\",]\n\n[engagement]\nlikes = 5828\nshares = 957\ncomments = 117\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Configurable optimizing Local Area Network API\n  version: 1.0.0\npaths:\n  /real:\n    get:\n      summary: Write my result movement capital manage.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2691236</review_id>\n<product_id>PROD-245093</product_id>\n<user_id>98b0ec97-f0e6-4eda-907b-c1488d5de2f5</user_id>\n<rating>1</rating>\n<title>Now new sell exist just.</title>\n<content>Issue suddenly such maybe. Military they second staff end agreement.\nClose that speech alone know wish matter. Finally adult statement method.</content>\n<date>2026-01-02</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-5278287\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K66\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I34\"\n\n[patient]\nmrn = \"MRN-468991\"\nage = 56\ngender = \"F\"\n\n[vitals]\nbp = \"131/60\"\nhr = 62\ntemp_f = 101.3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-469887\nis_available: true\nreviews: 612\nname: Networked executive capability\ncurrency: USD\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5383313\",\n  \"patient_mrn\": \"MRN-584871\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 194.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 67.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 195.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 146.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 119.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need clinical note details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J88\"\"}]\",headache,2026-01-02,CN-3210288,76,F,MRN-622975,158/77,64,98.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K27\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J30\"\"}, {\"\"problem\",headache,2026-01-03,CN-3103041,64,F,MRN-762273,133/89,61,100.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K93\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J25\"\"}, {\"\"problem\"\": \"\"hype\",chest pain,2026-01-03,CN-3741538,44,M,MRN-836602,136/109,91,100.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J54\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K50\"\"}]\",fever,2026-01-05,CN-2358109,60,F,MRN-466066,119/80,86,101.5\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-457828,2026-01-01,,,32,\r\nCTR-540672,2026-01-02,\"[{\"\"name\"\": \"\"Austin, Hicks and Hernandez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Berry PLC\"\", \"\"role\"\": \"\"party_b\"\"\",active,35,532999\r\nCTR-333953,2026-01-01,\"[{\"\"name\"\": \"\"Davidson-Mendez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Sullivan, Roman and Owens\"\", \"\"role\"\": \"\"part\",active,14,810125\r\nCTR-693038,2026-01-03,\"[{\"\"name\"\": \"\"Taylor-Mejia\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mack-Schneider\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,43,523686\r\nCTR-603667,2026-01-05,\"[{\"\"name\"\": \"\"Richardson-Baker\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jacobs-Macias\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,45,489773\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"name\"\": \"\"James Brown\"\", \"\"affiliation\"\": \"\"Ward-Davidson\"\", \"\"email\"\": \"\"wilsonkristin@example.org\"\"}, {\"\"na\",,Kramer Ltd,,,10.3653/hXNF,Cell,2021,Configurable bandwidth-monitored strategy\r\n\"Film anything reduce visit west task. Pattern point popular natural.\nDirector read indeed various. F\",\"[{\"\"name\"\": \"\"Kathryn Jones\"\", \"\"affiliation\"\": \"\"Hines-Murray\"\", \"\"email\"\": \"\"amanda12@example.com\"\"}, {\"\"name\"\":\",201,None,\"[\"\"recognize\"\", \"\"stay\"\", \"\"effect\"\"]\",arXiv:2022.71963,10.7387/LiLY,Nature,2020,Virtual dynamic parallelism\r\nRange article full nice trade next skill ground. Treat step resource son garden watch.,\"[{\"\"name\"\": \"\"Erica Wright\"\", \"\"affiliation\"\": \"\"Warren-Obrien\"\", \"\"email\"\": \"\"ivasquez@example.net\"\"}, {\"\"name\"\":\",275,Adams Ltd,\"[\"\"vote\"\", \"\"tough\"\", \"\"happen\"\", \"\"about\"\", \"\"about\"\"]\",arXiv:2021.89375,10.6727/NcXU,Nature,2021,Universal leadingedge intranet\r\nPartner deal sea type effect. Create arrive result sport big attention. Note city off oil.,\"[{\"\"name\"\": \"\"John Clay\"\", \"\"affiliation\"\": \"\"Morales-Gomez\"\", \"\"email\"\": \"\"zscott@example.org\"\"}, {\"\"name\"\": \"\"Mck\",184,None,\"[\"\"next\"\", \"\"hear\"\", \"\"strategy\"\", \"\"course\"\", \"\"traditional\"\"]\",arXiv:2024.22066,10.3123/EWJz,Nature,2020,Down-sized national complexity\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Face-to-face zero administration application API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/peace\": {\n      \"get\": {\n        \"summary\": \"Feel piece low way effort action bag.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.86983</paper_id>\n<title>Reverse-engineered national Graphical User Interface</title>\n<authors>\n<name>Wesley Murphy</name>\n<affiliation>Nunez, Meyer and Snow</affiliation>\n<email>nina74@example.net</email>\n</authors>\n<authors>\n<name>Richard Morgan</name>\n<affiliation>Hall-Jones</affiliation>\n<email>justin85@example.org</email>\n</authors>\n<authors>\n<name>Anthony Johnson</name>\n<affiliation>Kelley-Murphy</affiliation>\n<email>srichmond@example.com</email>\n</authors>\n<abstract>Sure finally site who truth. Close stop when low. Check news mother democratic.</abstract>\n<keywords>old</keywords>\n<keywords>indeed</keywords>\n<keywords>general</keywords>\n<keywords>claim</keywords>\n<keywords>every</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.2539/QMDE</doi>\n</publication>\n<citations>221</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.86983\",\n  \"title\": \"Reverse-engineered national Graphical User Interface\",\n  \"authors\": [\n    {\n      \"name\": \"Wesley Murphy\",\n      \"affiliation\": \"Nunez, Meyer and Snow\",\n      \"email\": \"nina74@example.net\"\n    },\n    {\n      \"name\": \"Richard Morgan\",\n      \"affiliation\": \"Hall-Jones\",\n      \"email\": \"justin85@example.org\"\n    },\n    {\n      \"name\": \"Anthony Johnson\",\n      \"affiliation\": \"Kelley-Murphy\",\n      \"email\": \"srichmond@example.com\"\n    }\n  ],\n  \"abstract\": \"Sure finally site who truth. Close stop when low. Check news mother democratic.\",\n  \"keywords\": [\n    \"old\",\n    \"indeed\",\n    \"general\",\n    \"claim\",\n    \"every\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.2539/QMDE\"\n  },\n  \"citations\": 221,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-64636774\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"180a1898-015f-483f-94a7-e771a6fb148e\",\n  \"username\": \"melissa16\",\n  \"content\": \"Use Mr only week. Crime form attention. Right world stand surface rate three.\",\n  \"timestamp\": \"2026-01-07T13:51:26.942814\",\n  \"hashtags\": [\n    \"#economic\",\n    \"#speak\"\n  ],\n  \"engagement\": {\n    \"likes\": 9998,\n    \"shares\": 653,\n    \"comments\": 4\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-831490\nname: Seamless optimal task-force\ncategory: electronics\nprice: 975.8\ncurrency: USD\nstock: 924\nis_available: true\nrating: 2.71\nreviews: 121\nspecs:\n  weight_kg: 17.77\n  dimensions: 52x27x46cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-926700\nparties:\n- name: Kelly-Jackson\n  role: party_a\n- name: Ramos, Hampton and Hartman\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 36\nvalue: 178791\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-36809284\ncustomer_id: 0c536a02-eec8-4bcd-8716-cb0564185d0f\ntimestamp: '2026-01-06T09:43:34.532435'\nitems:\n- sku: SKU-37486\n  qty: 4\n  price: 223.93\n- sku: SKU-51518\n  qty: 1\n  price: 246.34\n- sku: SKU-21777\n  qty: 4\n  price: 496.92\nsubtotal: 250.45\ntax: 127.96\ntotal: 1435.54\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\npost_id: POST-19357850\nplatform: twitter\nuser_id: 664b960b-1331-492f-addd-e9b37d21656f\nusername: mbaldwin\ncontent: Forward front agreement cover hour we remember ask. Read glass few word mother\n  deep TV.\ntimestamp: '2026-01-07T13:51:27.605837'\nhashtags:\n- '#cost'\n- '#he'\n- '#relationship'\nengagement:\n  likes: 304\n  shares: 796\n  comments: 124\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-19357850\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"664b960b-1331-492f-addd-e9b37d21656f\",\n  \"username\": \"mbaldwin\",\n  \"content\": \"Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.\",\n  \"timestamp\": \"2026-01-07T13:51:27.605837\",\n  \"hashtags\": [\n    \"#cost\",\n    \"#he\",\n    \"#relationship\"\n  ],\n  \"engagement\": {\n    \"likes\": 304,\n    \"shares\": 796,\n    \"comments\": 124\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-54622203</post_id>\n<platform>instagram</platform>\n<user_id>1456e108-0a50-4482-8f1a-b1cb2398a121</user_id>\n<username>fullersteven</username>\n<content>Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\nAny fine power truth. Big like investment simple whatever education.</content>\n<timestamp>2026-01-07T13:51:25.504049</timestamp>\n<hashtags>#deep</hashtags>\n<hashtags>#yes</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#including</hashtags>\n<engagement>\n<likes>464</likes>\n<shares>699</shares>\n<comments>294</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-54622203\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"1456e108-0a50-4482-8f1a-b1cb2398a121\",\n  \"username\": \"fullersteven\",\n  \"content\": \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\",\n  \"timestamp\": \"2026-01-07T13:51:25.504049\",\n  \"hashtags\": [\n    \"#deep\",\n    \"#yes\",\n    \"#long\",\n    \"#including\"\n  ],\n  \"engagement\": {\n    \"likes\": 464,\n    \"shares\": 699,\n    \"comments\": 294\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate student assessment data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-577861</assessment_id>\n<student_id>STU-664280</student_id>\n<course_id>CRS-8099</course_id>\n<type>exam</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>52</total_score>\n<percentage>81.98</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-475777,,CRS-2241,,2026-01-06,B,,,,,81.54,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-613124,,,75,assignment\r\n,TZG120,CRS-4715,4,,,40,30,30,Jesus White,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"add\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"protect\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"low\"\"}, {\"\"week\"\":\",,,Fall 2020,Total mission-critical architecture 101,,\r\n,MVH294,CRS-6858,3,,,40,30,30,Joseph Stewart,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"democratic\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"break\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"right\"\"}, {\",,,Spring 2023,De-engineered methodical time-frame 101,,\r\n,QJL265,CRS-8275,3,,,40,30,30,Melissa Kline,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"important\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"soldier\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"so\"\"}, {\"\"w\",,,Spring 2024,Function-based optimal portal 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"total_revenue\": 6798538,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 2139770,\n      \"growth\": -9.99\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1809716,\n      \"growth\": 7.01\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3049\",\n      \"sales\": 22854\n    },\n    {\n      \"sku\": \"SKU-5505\",\n      \"sales\": 203281\n    },\n    {\n      \"sku\": \"SKU-9853\",\n      \"sales\": 260538\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need transaction record details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\ne356879c-f937-4dc2-b10f-efded819a110,\"[{\"\"sku\"\": \"\"SKU-99661\"\", \"\"qty\"\": 4, \"\"price\"\": 457.18}, {\"\"sku\"\": \"\"SKU-21675\"\", \"\"qty\"\": 1, \"\"price\"\": 347.06}]\",credit_card,1867.87,14.9,2026-01-06T09:43:33.158562,1551.7,TXN-84792693\r\n0033e385-2fc0-44c0-ac06-3253e5020bcb,\"[{\"\"sku\"\": \"\"SKU-15195\"\", \"\"qty\"\": 5, \"\"price\"\": 472.91}]\",credit_card,493.5,153.51,2026-01-06T09:43:33.162163,102.02,TXN-45348703\r\nde1af47a-332a-4ce0-bd83-ed8feb38edc7,\"[{\"\"sku\"\": \"\"SKU-30972\"\", \"\"qty\"\": 4, \"\"price\"\": 338.48}, {\"\"sku\"\": \"\"SKU-14331\"\", \"\"qty\"\": 1, \"\"price\"\": 168.52}, {\",paypal,739.46,45.05,2026-01-06T09:43:33.162251,65.31,TXN-23681515\r\nfa682f33-e0ff-4cdf-bfb3-7a6c29ccb81a,\"[{\"\"sku\"\": \"\"SKU-35097\"\", \"\"qty\"\": 5, \"\"price\"\": 490.57}, {\"\"sku\"\": \"\"SKU-72914\"\", \"\"qty\"\": 2, \"\"price\"\": 174.83}, {\",credit_card,291.56,77.82,2026-01-06T09:43:33.162325,123.67,TXN-52953700\r\n9ce09e11-bdab-4971-b351-76a53b08c823,\"[{\"\"sku\"\": \"\"SKU-10154\"\", \"\"qty\"\": 2, \"\"price\"\": 479.11}, {\"\"sku\"\": \"\"SKU-41236\"\", \"\"qty\"\": 3, \"\"price\"\": 36.2}]\",apple_pay,641.48,14.47,2026-01-06T09:43:33.162394,556.95,TXN-53185301\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5490961</result_id>\n<patient_mrn>MRN-709917</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>146.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>73.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>166.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>98.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5490961\",\n  \"patient_mrn\": \"MRN-709917\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 146.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 73.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 166.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 98.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output transaction record as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-85338602\",\n  \"customer_id\": \"ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\",\n  \"timestamp\": \"2026-01-07T13:51:25.620781\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-22630\",\n      \"qty\": 3,\n      \"price\": 89.97\n    }\n  ],\n  \"subtotal\": 468.67,\n  \"tax\": 148.91,\n  \"total\": 792.01,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,User-centric tertiary contingency,998.51,PROD-239354,2.36,630,88x23x10cm,0.61,842\r\nclothing,USD,True,Realigned demand-driven monitoring,64.12,PROD-231372,1.52,841,27x31x36cm,29.04,668\r\nbooks,USD,True,Cross-group didactic website,741.33,PROD-867374,1.77,332,50x17x51cm,16.36,896\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Stand-alone dedicated complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/hear\": {\n      \"get\": {\n        \"summary\": \"Chance cultural sort including high.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nRamos-Wallace,,77578182,,,,,65816825,IQTA\r\n\"Tran, Harvey and Pearson\",8.74,16500516,20.12,18.5,18056562,Q2 2020,69167252,IEQC\r\n\"Morris, Mckenzie and Evans\",2.05,53009964,21.04,15.17,14598376,Q2 2023,43265955,MJDA\r\n\"Schneider, Benson and Gonzalez\",7.54,29832540,25.45,12.03,3701601,Q1 2021,34460683,JILZ\r\nHenson-Cooke,4.41,20152341,7.21,23.01,9658169,Q1 2021,54756904,SNYQ\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-946690</assessment_id>\n<student_id>STU-268675</student_id>\n<course_id>CRS-1216</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>81</total_score>\n<percentage>50.49</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-946690\",\n  \"student_id\": \"STU-268675\",\n  \"course_id\": \"CRS-1216\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 81,\n  \"percentage\": 50.49,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this JSON data into YAML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Assimilated neutral archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/sea\": {\n      \"get\": {\n        \"summary\": \"Team happen challenge address expert manage beyond\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Assimilated neutral archive API\n  version: 1.0.0\npaths:\n  /sea:\n    get:\n      summary: Team happen challenge address expert manage beyond\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nunits_sold = 45814\n[[channels]]\nname = \"retail\"\nrevenue = 3164793\ngrowth = -7.74\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2767719\ngrowth = 15.52\n\n[[top_products]]\nsku = \"SKU-4709\"\nsales = 451469\n\n[[top_products]]\nsku = \"SKU-4622\"\nsales = 128152\n\n[[top_products]]\nsku = \"SKU-5332\"\nsales = 491526\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-123472\"\neffective_date = \"2026-01-06\"\nterm_months = 59\nvalue = 388976\nstatus = \"pending\"\n[[parties]]\nname = \"Palmer-White\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Rodriguez-Moore\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4504067\"\npatient_mrn = \"MRN-266543\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 181.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 164.3\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 140.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 113.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3990665\"\npatient_mrn = \"MRN-508219\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 80.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 90.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 138.0\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 131.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 172.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 151.6\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 188.6\nunit = \"g/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-893180\",\n  \"student_id\": \"STU-881633\",\n  \"course_id\": \"CRS-6394\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 98,\n  \"percentage\": 73.06,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-94493547\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ebddd714-2a63-4fd6-985c-fb7fe32db0b4\",\n  \"username\": \"laura52\",\n  \"content\": \"Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\\nWhat ok that look past. Budget understand mouth during brother pull type spring.\",\n  \"timestamp\": \"2026-01-07T13:51:27.134920\",\n  \"hashtags\": [\n    \"#red\",\n    \"#hotel\",\n    \"#create\"\n  ],\n  \"engagement\": {\n    \"likes\": 8599,\n    \"shares\": 93,\n    \"comments\": 39\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-94493547</post_id>\n<platform>instagram</platform>\n<user_id>ebddd714-2a63-4fd6-985c-fb7fe32db0b4</user_id>\n<username>laura52</username>\n<content>Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\nWhat ok that look past. Budget understand mouth during brother pull type spring.</content>\n<timestamp>2026-01-07T13:51:27.134920</timestamp>\n<hashtags>#red</hashtags>\n<hashtags>#hotel</hashtags>\n<hashtags>#create</hashtags>\n<engagement>\n<likes>8599</likes>\n<shares>93</shares>\n<comments>39</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-574681\",\n  \"title\": \"Effect of anyone on society\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 560,\n    \"duration_days\": 320\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.77,\n      \"endpoint\": 70.83,\n      \"p_value\": 0.3046\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 96.52,\n      \"endpoint\": 82.25,\n      \"p_value\": 0.0326\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.38,\n      \"endpoint\": 72.88,\n      \"p_value\": 0.2787\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.71,\n      \"endpoint\": 95.37,\n      \"p_value\": 0.4542\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-574681</experiment_id>\n<title>Effect of anyone on society</title>\n<methodology>\n<design>cohort</design>\n<sample_size>560</sample_size>\n<duration_days>320</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>50.77</baseline>\n<endpoint>70.83</endpoint>\n<p_value>0.3046</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>96.52</baseline>\n<endpoint>82.25</endpoint>\n<p_value>0.0326</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.38</baseline>\n<endpoint>72.88</endpoint>\n<p_value>0.2787</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>17.71</baseline>\n<endpoint>95.37</endpoint>\n<p_value>0.4542</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-2575466\nproduct_id: PROD-346187\nuser_id: 320eb87e-12bd-44ab-bb47-6fec45bd5144\nrating: 1\ntitle: 'Possible modern last rate memory fight conference '\ncontent: 'Character walk loss rock me social gun.\n\n  Center choice either push. Push stop yourself.'\ndate: '2026-01-01'\nverified_purchase: false\nhelpful_votes: 26\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output financial report as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Snow, Shelton and Parsons</company>\n<ticker>LYEH</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>49988929</revenue>\n<expenses>3428077</expenses>\n<net_income>8543670</net_income>\n<eps>3.41</eps>\n<metrics>\n<profit_margin>11.21</profit_margin>\n<roe>5.99</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3941350</result_id>\n<patient_mrn>MRN-739958</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>134.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>188.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>117.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>159.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.5</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-3941350\",\n  \"patient_mrn\": \"MRN-739958\",\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 134.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 188.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 117.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 159.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need research paper details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.75151\"\ntitle = \"Right-sized exuding process improvement\"\nabstract = \"Start generation professional education help while party rule. Major already drop reduce. Health finish gas throughout.\"\nkeywords = [ \"listen\", \"generation\", \"level\", \"wrong\", \"guy\",]\ncitations = 352\nfunding_source = \"Miller-Anderson\"\n[[authors]]\nname = \"Sarah Campbell\"\naffiliation = \"Johnson PLC\"\nemail = \"wquinn@example.com\"\n\n[[authors]]\nname = \"Sue Ayala\"\naffiliation = \"Roy LLC\"\nemail = \"yfields@example.org\"\n\n[[authors]]\nname = \"David Salas\"\naffiliation = \"Sherman-Hernandez\"\nemail = \"holly62@example.net\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.4962/dRpb\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-9982202\",\n  \"product_id\": \"PROD-452864\",\n  \"user_id\": \"015289de-7f3e-45e2-b1d0-7fe22aff92a9\",\n  \"rating\": 3,\n  \"title\": \"Example center fill free.\",\n  \"content\": \"North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.\",\n  \"date\": \"2026-01-04\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 34\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9982202</review_id>\n<product_id>PROD-452864</product_id>\n<user_id>015289de-7f3e-45e2-b1d0-7fe22aff92a9</user_id>\n<rating>3</rating>\n<title>Example center fill free.</title>\n<content>North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-86945311</post_id>\n<platform>facebook</platform>\n<user_id>b9da037c-f6cd-4ced-8c95-ca7562cf6118</user_id>\n<username>martinsteven</username>\n<content>Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.</content>\n<timestamp>2026-01-07T13:51:26.810240</timestamp>\n<hashtags>#drop</hashtags>\n<hashtags>#consider</hashtags>\n<hashtags>#nature</hashtags>\n<hashtags>#all</hashtags>\n<engagement>\n<likes>3344</likes>\n<shares>900</shares>\n<comments>482</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-86945311\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b9da037c-f6cd-4ced-8c95-ca7562cf6118\",\n  \"username\": \"martinsteven\",\n  \"content\": \"Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.\",\n  \"timestamp\": \"2026-01-07T13:51:26.810240\",\n  \"hashtags\": [\n    \"#drop\",\n    \"#consider\",\n    \"#nature\",\n    \"#all\"\n  ],\n  \"engagement\": {\n    \"likes\": 3344,\n    \"shares\": 900,\n    \"comments\": 482\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Fundamental asymmetric strategy API\"\nversion = \"1.0.0\"\n\n[paths.\"/practice\".get]\nsummary = \"Grow material clear certainly.\"\n[[paths.\"/practice\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/practice\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/practice\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/practice\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need prescription details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-7484434\npatient_mrn: MRN-543750\nprescriber: Alexandra Klein\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Metformin\n  dosage: 5mg\n  frequency: BID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-59995807</txn_id>\n<customer_id>0d66cadd-c42f-4e9b-ae40-46d71f47623d</customer_id>\n<timestamp>2026-01-07T13:51:27.084892</timestamp>\n<items>\n<sku>SKU-83766</sku>\n<qty>4</qty>\n<price>55.35</price>\n</items>\n<items>\n<sku>SKU-77209</sku>\n<qty>2</qty>\n<price>217.97</price>\n</items>\n<items>\n<sku>SKU-11210</sku>\n<qty>5</qty>\n<price>436.04</price>\n</items>\n<subtotal>1600.85</subtotal>\n<tax>34.84</tax>\n<total>602.79</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-59995807\",\n  \"customer_id\": \"0d66cadd-c42f-4e9b-ae40-46d71f47623d\",\n  \"timestamp\": \"2026-01-07T13:51:27.084892\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-83766\",\n      \"qty\": 4,\n      \"price\": 55.35\n    },\n    {\n      \"sku\": \"SKU-77209\",\n      \"qty\": 2,\n      \"price\": 217.97\n    },\n    {\n      \"sku\": \"SKU-11210\",\n      \"qty\": 5,\n      \"price\": 436.04\n    }\n  ],\n  \"subtotal\": 1600.85,\n  \"tax\": 34.84,\n  \"total\": 602.79,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-760727\",\n  \"parties\": [\n    {\n      \"name\": \"King, Moore and Vazquez\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Brown, Henry and Craig\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 15,\n  \"value\": 170545,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate student assessment data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-817642</assessment_id>\n<student_id>STU-222420</student_id>\n<course_id>CRS-8326</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>60</total_score>\n<percentage>56.31</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-3836429\nproduct_id: PROD-852988\nuser_id: 39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0\nrating: 2\ntitle: Report thus get describe identify.\ncontent: 'Or dog never any center population. Program it they Republican over step.\n  Who television finish true game.\n\n  List catch candidate west research. Meeting many imagine.'\ndate: '2026-01-01'\nverified_purchase: false\nhelpful_votes: 23\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-480886\"\nname = \"Operative optimizing monitoring\"\ncategory = \"books\"\nprice = 967.35\ncurrency = \"USD\"\nstock = 887\nis_available = true\nrating = 2.99\nreviews = 465\n\n[specs]\nweight_kg = 39.19\ndimensions = \"82x84x37cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\ntimestamp: '2026-01-07T13:51:25.462522'\nlevel: ERROR\nservice: winService\nmessage: Western energy project push building.\nstack_trace:\n- at could.py:42\n- at seem.py:198\ncontext:\n  user_id: 7197800d-0acd-4eee-b9ab-24b5158dfa0a\n  request_id: 00c4c00d-dc22-4013-8495-1ed2381fc937\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7937835</note_id>\n<patient>\n<mrn>MRN-749785</mrn>\n<age>66</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>179/85</bp>\n<hr>81</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I52</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J76</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-7937835\",\n  \"patient\": {\n    \"mrn\": \"MRN-749785\",\n    \"age\": 66,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"179/85\",\n    \"hr\": 81,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I52\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J76\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Smith-Glover</company>\n<ticker>JROI</ticker>\n<quarter>Q3 2023</quarter>\n<revenue>95238846</revenue>\n<expenses>30652579</expenses>\n<net_income>5856951</net_income>\n<eps>7.31</eps>\n<metrics>\n<profit_margin>9.94</profit_margin>\n<roe>10.91</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9279</course_id>\n<code>WQT213</code>\n<title>Ameliorated 3rdgeneration groupware 101</title>\n<instructor>Mariah Wilson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>together</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>statement</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>these</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>American</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>read</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>age</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>course</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-9279\",\n  \"code\": \"WQT213\",\n  \"title\": \"Ameliorated 3rdgeneration groupware 101\",\n  \"instructor\": \"Mariah Wilson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"together\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"statement\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"these\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"American\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"read\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"age\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"course\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"September 2023\",\n  \"total_revenue\": 9732569,\n  \"units_sold\": 38507,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4979277,\n      \"growth\": 36.06\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4800863,\n      \"growth\": 8.87\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5649\",\n      \"sales\": 311811\n    },\n    {\n      \"sku\": \"SKU-1879\",\n      \"sales\": 391924\n    },\n    {\n      \"sku\": \"SKU-4665\",\n      \"sales\": 317392\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-760727,2026-01-04,\"[{\"\"name\"\": \"\"King, Moore and Vazquez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Brown, Henry and Craig\"\", \"\"role\"\": \",active,15,170545\r\nCTR-596416,2026-01-05,\"[{\"\"name\"\": \"\"Calderon-Bailey\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Peterson, Booth and Powell\"\", \"\"role\"\": \"\"par\",pending,39,812307\r\nCTR-642040,2026-01-06,\"[{\"\"name\"\": \"\"Lara-Cook\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carter, Wilson and Woods\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,12,241013\r\nCTR-879048,2026-01-04,\"[{\"\"name\"\": \"\"Ross-Carney\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jackson, Khan and Peterson\"\", \"\"role\"\": \"\"party_b\",pending,27,306753\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<patient_mrn>MRN-119365</patient_mrn>\n<order_date>2026-01-05</order_date>\n<results>\n<test>Glucose</test>\n<value>134.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>69.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>85.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>69.6</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>79.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,order_date,paper_id,patient_mrn,publication_doi,publication_venue,publication_year,results,title\r\n,,,,,2026-01-05,,MRN-119365,,,,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 134.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\",\r\nMust without hear trouble. Source keep leader face.,\"[{\"\"name\"\": \"\"Alexander Owen\"\", \"\"affiliation\"\": \"\"Edwards, Wu and Gray\"\", \"\"email\"\": \"\"kristen20@example.net\"\"}\",182,\"Knapp, Garcia and Mason\",\"[\"\"admit\"\", \"\"pattern\"\", \"\"even\"\", \"\"two\"\"]\",,arXiv:2021.41704,,10.3254/BAYi,Nature,2024,,Object-based tangible success\r\nLate stock news deep read it. Which anything hundred interview medical learn officer hear. Eat event,\"[{\"\"name\"\": \"\"Daniel Woods\"\", \"\"affiliation\"\": \"\"Woodward Inc\"\", \"\"email\"\": \"\"dayala@example.com\"\"}, {\"\"name\"\": \"\"M\",401,Andrews-Jefferson,\"[\"\"PM\"\", \"\"life\"\", \"\"media\"\", \"\"page\"\", \"\"vote\"\"]\",,arXiv:2023.72311,,10.9582/QgPG,Science,2021,,Distributed demand-driven system engine\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    }\n  ],\n  \"grade\": \"C\",\n  \"date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\nabstract,authors,citations,funding_source,keywords,order_date,panel,paper_id,publication_doi,publication_venue,publication_year,results,title\r\n,,,,,2026-01-05,Lipid,,,,,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 95.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\",\r\nStory at idea minute under boy enough. Information decision Democrat approach rather north computer.,\"[{\"\"name\"\": \"\"Miss Courtney Howard\"\", \"\"affiliation\"\": \"\"Graham Ltd\"\", \"\"email\"\": \"\"alan83@example.com\"\"}, {\"\"nam\",203,None,\"[\"\"attack\"\", \"\"power\"\", \"\"especially\"\"]\",,,arXiv:2022.74336,10.1216/made,Science,2024,,Balanced high-level function\r\nKnow sing black matter husband low fall. Worker fire explain step although manage. Truth sport somet,\"[{\"\"name\"\": \"\"Margaret Shaw\"\", \"\"affiliation\"\": \"\"Bartlett LLC\"\", \"\"email\"\": \"\"rtaylor@example.org\"\"}, {\"\"name\"\": \",174,Cole PLC,\"[\"\"Congress\"\", \"\"board\"\", \"\"air\"\", \"\"account\"\", \"\"recently\"\"]\",,,arXiv:2024.51320,10.9291/hfYq,Nature,2024,,Inverse radical protocol\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from CSV to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 95.5\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 52.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 142.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 146.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nTaylor Ltd,1.63,52626087,23.4,21.22,18580243,Q1 2024,69752271,AOED\r\n\"Berg, Edwards and Washington\",2.64,21304251,24.59,21.54,15746169,Q4 2022,1384082,IKVG\r\nLopez Group,9.45,39741607,22.5,19.87,16715861,Q3 2024,12652451,YMDT\r\nSantana Group,1.95,7640424,11.86,13.46,5440388,Q4 2023,6451824,POVS\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?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", "content": "Approach:\n1. Task: Convert sales analytics from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: September 2024\ntotal_revenue: 6726526\nunits_sold: 45392\nchannels:\n- name: retail\n  revenue: 2051641\n  growth: 15.93\n- name: wholesale\n  revenue: 4340607\n  growth: -6.59\ntop_products:\n- sku: SKU-7798\n  sales: 367269\n- sku: SKU-2105\n  sales: 291023\n- sku: SKU-5730\n  sales: 275348\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8221745,Maria Johnson,Would movement white military what them cup. Available remember control staff. None mean hundred PM.,Polarized zero administration support,2026-01-03T08:37:58.870132,Business,763,\"[\"\"environment\"\", \"\"name\"\", \"\"receive\"\", \"\"happen\"\", \"\"join\"\"]\",46852\r\nART-3448509,Alyssa Ortega,Air major trouble resource hospital. Record cost fight tree scene will push baby. Dream market rich ,Down-sized 5thgeneration migration,2026-01-01T00:47:44.456793,Sports,4739,\"[\"\"take\"\", \"\"structure\"\", \"\"southern\"\", \"\"wait\"\"]\",48443\r\nART-6873329,Michael Allen,Lose blue accept prevent floor. Sign few material image back skill picture. Management explain howev,User-friendly system-worthy strategy,2026-01-07T11:59:31.831052,Business,1245,\"[\"\"office\"\", \"\"money\"\", \"\"bit\"\", \"\"difficult\"\", \"\"improve\"\"]\",49445\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Martinez, Patterson and Hunter\nticker: PPOB\nquarter: Q1 2023\nrevenue: 66694743\nexpenses: 21448775\nnet_income: 421192\neps: 2.32\nmetrics:\n  profit_margin: 7.89\n  roe: 9.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate research paper data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.79764</paper_id>\n<title>Progressive exuding adapter</title>\n<authors>\n<name>Gary Johnson</name>\n<affiliation>Wolf Group</affiliation>\n<email>jamie40@example.org</email>\n</authors>\n<authors>\n<name>Lisa Ortega</name>\n<affiliation>Wells, Flores and Cooper</affiliation>\n<email>nicholas25@example.com</email>\n</authors>\n<authors>\n<name>Kimberly Alvarez</name>\n<affiliation>Lewis-Hunt</affiliation>\n<email>bookersteven@example.com</email>\n</authors>\n<abstract>Win both purpose hour professor table.</abstract>\n<keywords>office</keywords>\n<keywords>during</keywords>\n<keywords>more</keywords>\n<keywords>apply</keywords>\n<keywords>program</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1780/NyHo</doi>\n</publication>\n<citations>258</citations>\n<funding_source>Espinoza, Khan and Lowe</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Williams Ltd</company>\n<ticker>IHFM</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>93368790</revenue>\n<expenses>48847964</expenses>\n<net_income>12028281</net_income>\n<eps>9.18</eps>\n<metrics>\n<profit_margin>7.56</profit_margin>\n<roe>13.89</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2117136\npatient:\n  mrn: MRN-453205\n  age: 71\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 179/77\n  hr: 79\n  temp_f: 99.9\nassessment:\n- problem: diabetes\n  icd10: J25\n- problem: hypertension\n  icd10: K35\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>0ea30289-ce13-425f-910d-da970e03d0fa</error_id>\n<timestamp>2026-01-07T13:51:25.772316</timestamp>\n<level>WARNING</level>\n<service>theService</service>\n<message>Country specific information follow daughter dark.</message>\n<stack_trace>at enjoy.py:340</stack_trace>\n<stack_trace>at current.py:45</stack_trace>\n<stack_trace>at hand.py:478</stack_trace>\n<context>\n<user_id>91a6b883-2593-4790-8a1e-5acd27aad31b</user_id>\n<request_id>1b22b6e6-0879-45de-9655-0fac03142f9b</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>July 2021</period>\n<total_revenue>5979422</total_revenue>\n<units_sold>82076</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3460112</revenue>\n<growth>36.85</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3983364</revenue>\n<growth>5.55</growth>\n</channels>\n<top_products>\n<sku>SKU-1065</sku>\n<sales>105510</sales>\n</top_products>\n<top_products>\n<sku>SKU-4043</sku>\n<sales>281142</sales>\n</top_products>\n<top_products>\n<sku>SKU-1338</sku>\n<sales>43006</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\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\"Information choose writer economy. Report other dog her crime reason push.\nBehind feeling seven fact\",247,1153,820,\"[\"\"#computer\"\", \"\"#maintain\"\"]\",facebook,POST-11960767,2026-01-07T13:51:27.339440,2573bbe9-e8b7-4c21-a471-166b2c3c8e5a,jeffcain\r\n\"Police product way. Notice child them make both system.\nCompare break growth end among family organi\",29,1132,819,\"[\"\"#American\"\", \"\"#she\"\", \"\"#myself\"\", \"\"#religious\"\"]\",facebook,POST-28656326,2026-01-07T13:51:27.339819,405784ac-08a4-4b8d-9adf-4364834692b1,lopezpamela\r\n\"Play science buy note listen condition. Score agreement material.\nEntire pay create pressure oil tea\",464,2314,306,\"[\"\"#since\"\", \"\"#factor\"\"]\",instagram,POST-78157261,2026-01-07T13:51:27.340202,6d070911-d46f-4504-b9ea-6de223788ebe,gomezjulia\r\nFirm any until couple open possible team. Impact sister action important difference south believe. W,14,1169,393,\"[\"\"#summer\"\", \"\"#government\"\", \"\"#down\"\", \"\"#choose\"\"]\",facebook,POST-37501606,2026-01-07T13:51:27.340462,adfcad1d-6147-4e41-8873-93f8018f4c24,shawn54\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8855\"\ncode = \"DBP130\"\ntitle = \"Team-oriented 3rdgeneration implementation 101\"\ninstructor = \"Carl Davis\"\ncredits = 3\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"manage\"\n\n[[schedule]]\nweek = 2\ntopic = \"someone\"\n\n[[schedule]]\nweek = 3\ntopic = \"bring\"\n\n[[schedule]]\nweek = 4\ntopic = \"board\"\n\n[[schedule]]\nweek = 5\ntopic = \"important\"\n\n[[schedule]]\nweek = 6\ntopic = \"he\"\n\n[[schedule]]\nweek = 7\ntopic = \"possible\"\n\n[[schedule]]\nweek = 8\ntopic = \"office\"\n\n[[schedule]]\nweek = 9\ntopic = \"board\"\n\n[[schedule]]\nweek = 10\ntopic = \"drive\"\n\n[[schedule]]\nweek = 11\ntopic = \"Mrs\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4504067\npatient_mrn: MRN-266543\norder_date: '2026-01-05'\npanel: Lipid\nresults:\n- test: Glucose\n  value: 181.1\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 164.3\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 140.0\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 113.0\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5650887</review_id>\n<product_id>PROD-601157</product_id>\n<user_id>ac7725ae-2567-44d1-8d40-a64432b9801b</user_id>\n<rating>3</rating>\n<title>Personal order single check off but my.</title>\n<content>Key Mrs say because walk old certainly. Product figure event choice.\nSkill cut plan per side same. Between common join partner kid enter page discover.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>66</helpful_votes>\n</customer_review>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-5650887\nproduct_id: PROD-601157\nuser_id: ac7725ae-2567-44d1-8d40-a64432b9801b\nrating: 3\ntitle: Personal order single check off but my.\ncontent: 'Key Mrs say because walk old certainly. Product figure event choice.\n\n  Skill cut plan per side same. Between common join partner kid enter page discover.'\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 66\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output experiment result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle: 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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-1129442\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J46\"\n\n[patient]\nmrn = \"MRN-895859\"\nage = 79\ngender = \"M\"\n\n[vitals]\nbp = \"127/81\"\nhr = 117\ntemp_f = 102.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-458464\nstudent_id: STU-453066\ncourse_id: CRS-7675\ntype: assignment\ndate: '2026-01-06'\nscores:\n- question: 1\n  points_earned: 0\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 4\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 0\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 8\n  points_possible: 10\ntotal_score: 67\npercentage: 65.79\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1384784\nproduct_id: PROD-499626\nuser_id: 4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9\nrating: 1\ntitle: Respond out five.\ncontent: 'I stay little Democrat money where stop. Than development activity.\n\n  Along ahead their standard early nor reason. Fight with minute learn soldier understand.'\ndate: '2026-01-05'\nverified_purchase: false\nhelpful_votes: 94\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Today offer none role certain reach. Second Mr official enjoy movement turn city. Name employee earl,,2026-01-01,43,,,,PROD-108034,4,REV-9546377,,,,,Appear speak sure list.,d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77,True\r\nbooks,,USD,,,True,Re-contextualized executive implementation,266.1,PROD-482189,1.07,,21,24x60x94cm,41.45,868,,,\r\nclothing,,USD,,,True,Proactive full-range framework,80.19,PROD-142533,3.04,,543,22x50x27cm,27.75,190,,,\r\nelectronics,,USD,,,True,Progressive disintermediate pricing structure,582.78,PROD-819363,2.25,,593,86x67x66cm,2.76,328,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Horizontal interactive project API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</base>\n<get>\n<summary>Management send father actually special image.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//base>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Horizontal interactive project API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/base\": {\n      \"get\": {\n        \"summary\": \"Management send father actually special image.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\n,2026-01-04,39,,5,REV-1864702,State standard bad message use.,,\r\nClearly scientist main debate guy. Lose population partner behavior hospital wrong. Work how some ta,2026-01-05,63,PROD-787796,2,REV-6301422,Tree allow senior wrong color answer.,223c8b02-3540-4b24-927b-7773696f93d9,True\r\nSimply care manager fire write detail behind relationship. Wife about this. Today at available coupl,2026-01-01,24,PROD-452988,3,REV-7695509,See save cultural.,f82823d8-c49e-49bb-8e36-710b092a6062,True\r\n\"Total growth model room. Certainly unit dream article century attorney radio stage.\nBlack despite la\",2026-01-03,13,PROD-630086,1,REV-9930959,Capital above pretty almost.,1cecce83-eb6b-4a24-af9c-e7068b056f4e,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-313579\",\n  \"parties\": [\n    {\n      \"name\": \"Roberts, Newton and Ortiz\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Garcia PLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 55,\n  \"value\": 108642,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"company\": \"Harris Inc\",\n  \"ticker\": \"KXNS\",\n  \"quarter\": \"Q2 2023\",\n  \"revenue\": 96096321,\n  \"expenses\": 36366080,\n  \"net_income\": 6859279,\n  \"eps\": 2.68,\n  \"metrics\": {\n    \"profit_margin\": 18.37,\n    \"roe\": 11.92\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Harris Inc\nticker: KXNS\nquarter: Q2 2023\nrevenue: 96096321\nexpenses: 36366080\nnet_income: 6859279\neps: 2.68\nmetrics:\n  profit_margin: 18.37\n  roe: 11.92\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-480589\"\nstudent_id = \"STU-294027\"\ncourse_id = \"CRS-4574\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 82\npercentage = 76.47\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\n,2026-01-01,41,,,REV-9837300,Support sign wife.,,True\r\nSpecific radio discover series involve city. Office any decade enough produce. Deep society differen,2026-01-04,30,PROD-579429,4,REV-9560747,Hope admit dog inside cut.,2acc6b7a-cbae-407d-915e-c2ebc3a71ff6,True\r\n\"Hot situation together strategy on campaign. Republican size management sport.\nDraw take agreement w\",2026-01-01,72,PROD-591614,2,REV-7102139,Else street fish no difference.,55f0d016-abe7-432b-a1e0-f5e744687f59,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,CBC,MRN-739958,LAB-3941350,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 134.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 188.\"\r\n2026-01-03,CMP,MRN-842970,LAB-1750909,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 162.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 66.6, \"\"un\"\r\n2026-01-05,Lipid,MRN-377003,LAB-4868937,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 93.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 50.6, \"\r\n2026-01-03,CMP,MRN-103937,LAB-1964785,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 92.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5956795</result_id>\n<patient_mrn>MRN-953048</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>138.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>69.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>89.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>169.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>187.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5956795\",\n  \"patient_mrn\": \"MRN-953048\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 69.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 89.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 169.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 187.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 120.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this XML data into YAML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>6503980</total_revenue>\n<units_sold>7670</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3279241</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1469640</revenue>\n<growth>16.07</growth>\n</channels>\n<top_products>\n<sku>SKU-8081</sku>\n<sales>71747</sales>\n</top_products>\n<top_products>\n<sku>SKU-8211</sku>\n<sales>475825</sales>\n</top_products>\n<top_products>\n<sku>SKU-4565</sku>\n<sales>485553</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: March 2022\ntotal_revenue: 6503980\nunits_sold: 7670\nchannels:\n- name: retail\n  revenue: 3279241\n  growth: 22.76\n- name: wholesale\n  revenue: 1469640\n  growth: 16.07\ntop_products:\n- sku: SKU-8081\n  sales: 71747\n- sku: SKU-8211\n  sales: 475825\n- sku: SKU-4565\n  sales: 485553\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<course_id>CRS-9368</course_id>\n<percentage>68.59</percentage>\n<assessment_id>ASMT-453812</assessment_id>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-9368\",\n  \"percentage\": 68.59,\n  \"assessment_id\": \"ASMT-453812\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Rodriguez, Sanchez and French\",\n  \"ticker\": \"TOPI\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 30596216,\n  \"expenses\": 79425858,\n  \"net_income\": 10739155,\n  \"eps\": 9.27,\n  \"metrics\": {\n    \"profit_margin\": 21.79,\n    \"roe\": 22.32\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Sanchez and French</company>\n<ticker>TOPI</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>30596216</revenue>\n<expenses>79425858</expenses>\n<net_income>10739155</net_income>\n<eps>9.27</eps>\n<metrics>\n<profit_margin>21.79</profit_margin>\n<roe>22.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nFAH301,CRS-2063,4,40,30,30,Aaron Bailey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"health\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"buy\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"conference\"\"}, {\"\"\",Fall 2023,Ameliorated zero administration productivity 101\r\nZZJ232,CRS-4657,4,40,30,30,Jordan Aguirre,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"buy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"today\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"trouble\"\"}, {\"\"week\",Spring 2020,Seamless methodical database 101\r\nMAI413,CRS-1801,3,40,30,30,Steven Massey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"that\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ask\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"detail\"\"}, {\"\"week\"\":\",Spring 2022,Programmable analyzing instruction set 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3440</course_id>\n<code>KLD251</code>\n<title>Reverse-engineered foreground infrastructure 101</title>\n<instructor>Courtney Escobar</instructor>\n<credits>4</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>despite</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>action</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>big</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>music</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-3440\",\n  \"code\": \"KLD251\",\n  \"title\": \"Reverse-engineered foreground infrastructure 101\",\n  \"instructor\": \"Courtney Escobar\",\n  \"credits\": 4,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"despite\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"action\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"big\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"music\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3484562\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I82\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K89\"\n\n[patient]\nmrn = \"MRN-557288\"\nage = 19\ngender = \"F\"\n\n[vitals]\nbp = \"94/91\"\nhr = 63\ntemp_f = 98.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-9595817</note_id>\n<patient>\n<mrn>MRN-972408</mrn>\n<age>32</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>102/103</bp>\n<hr>113</hr>\n<temp_f>102.5</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K99</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-168652\ntitle: Effect of green on from\nmethodology:\n  design: cohort\n  sample_size: 797\n  duration_days: 186\nresults:\n- metric: safety\n  baseline: 24.16\n  endpoint: 44.82\n  p_value: 0.0559\n- metric: efficacy\n  baseline: 16.54\n  endpoint: 28.48\n  p_value: 0.2997\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Pre-emptive interactive encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</air>\n<get>\n<summary>Final democratic whatever event director guy.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//air>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Pre-emptive interactive encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/air\": {\n      \"get\": {\n        \"summary\": \"Final democratic whatever event director guy.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>4317671</total_revenue>\n<units_sold>11582</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2780960</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>4140341</revenue>\n<growth>-9.84</growth>\n</channels>\n<top_products>\n<sku>SKU-8636</sku>\n<sales>261407</sales>\n</top_products>\n<top_products>\n<sku>SKU-9950</sku>\n<sales>107242</sales>\n</top_products>\n<top_products>\n<sku>SKU-8311</sku>\n<sales>494004</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 4317671,\n  \"units_sold\": 11582,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2780960,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4140341,\n      \"growth\": -9.84\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8636\",\n      \"sales\": 261407\n    },\n    {\n      \"sku\": \"SKU-9950\",\n      \"sales\": 107242\n    },\n    {\n      \"sku\": \"SKU-8311\",\n      \"sales\": 494004\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<title>Stand-alone empowering functionalities 101</title>\n<schedule>\n<week>1</week>\n<topic>class</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>leave</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>develop</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>style</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>again</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>man</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>list</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"title\": \"Stand-alone empowering functionalities 101\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"class\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"leave\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"develop\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"style\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"again\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"man\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"list\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-7200303\"\nencounter_date = \"2026-01-01\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K27\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J62\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J71\"\n\n[patient]\nmrn = \"MRN-928161\"\nage = 83\ngender = \"M\"\n\n[vitals]\nbp = \"93/72\"\nhr = 85\ntemp_f = 100.8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Fundamental asymmetric strategy API\n  version: 1.0.0\npaths:\n  /practice:\n    get:\n      summary: Grow material clear certainly.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Eaton, Mccarty and Lopez</company>\n<ticker>OWKB</ticker>\n<quarter>Q3 2021</quarter>\n<revenue>46227283</revenue>\n<expenses>75330506</expenses>\n<net_income>13309525</net_income>\n<eps>4.82</eps>\n<metrics>\n<profit_margin>29.61</profit_margin>\n<roe>8.93</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Eaton, Mccarty and Lopez\",4.82,75330506,29.61,8.93,13309525,Q3 2021,46227283,OWKB\r\nSanchez Inc,4.74,58441411,29.83,5.08,65126,Q3 2021,37226250,PRWM\r\nLewis Group,6.85,73441672,21.63,10.87,3637568,Q1 2020,69694011,MCOL\r\nSanders PLC,4.65,44335230,16.26,24.04,11730886,Q1 2020,9836497,MUVK\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-421885\"\nname = \"Diverse 6thgeneration solution\"\ncategory = \"books\"\nprice = 48.12\ncurrency = \"USD\"\nstock = 460\nis_available = true\nrating = 3.7\nreviews = 717\n\n[specs]\nweight_kg = 20.82\ndimensions = \"87x57x81cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3684509</rx_id>\n<patient_mrn>MRN-644382</patient_mrn>\n<prescriber>Chelsea Henson</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</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>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 0ea30289-ce13-425f-910d-da970e03d0fa\ntimestamp: '2026-01-07T13:51:25.772316'\nlevel: WARNING\nservice: theService\nmessage: Country specific information follow daughter dark.\nstack_trace:\n- at enjoy.py:340\n- at current.py:45\n- at hand.py:478\ncontext:\n  user_id: 91a6b883-2593-4790-8a1e-5acd27aad31b\n  request_id: 1b22b6e6-0879-45de-9655-0fac03142f9b\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Profound logistical array,299.46,PROD-852387,2.95,519,16x47x36cm,6.22,505\r\nbooks,USD,True,Monitored methodical software,307.65,PROD-881491,5.0,377,46x45x31cm,2.59,45\r\nclothing,USD,True,Distributed regional function,294.8,PROD-724042,1.03,967,17x90x55cm,3.53,666\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.21424\ntitle: Cross-platform fault-tolerant circuit\nauthors:\n- name: Charlotte Sellers\n  affiliation: Armstrong-Marks\n  email: weaverelizabeth@example.com\n- name: Cynthia Johnston MD\n  affiliation: Rogers Inc\n  email: ccastaneda@example.org\n- name: Robert Velasquez\n  affiliation: Alvarado LLC\n  email: psullivan@example.net\nabstract: Truth himself long country car environment. Free design relate hope admit\n  learn identify.\nkeywords:\n- share\n- feeling\n- environmental\npublication:\n  venue: Science\n  year: 2022\n  doi: 10.6091/Sfwn\ncitations: 477\nfunding_source: Barker-Wise\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id = \"CRS-7729\"\ncredits = 4\ntitle = \"Pre-emptive didactic success 101\"\n[[schedule]]\nweek = 1\ntopic = \"ok\"\n\n[[schedule]]\nweek = 2\ntopic = \"student\"\n\n[[schedule]]\nweek = 3\ntopic = \"method\"\n\n[[schedule]]\nweek = 4\ntopic = \"response\"\n\n[[schedule]]\nweek = 5\ntopic = \"Republican\"\n\n[[schedule]]\nweek = 6\ntopic = \"player\"\n\n[[schedule]]\nweek = 7\ntopic = \"report\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-1565761\",\n  \"patient_mrn\": \"MRN-226686\",\n  \"prescriber\": \"Regina Martin\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1565761</rx_id>\n<patient_mrn>MRN-226686</patient_mrn>\n<prescriber>Regina Martin</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9141</course_id>\n<code>ESH384</code>\n<title>Inverse real-time hardware 101</title>\n<instructor>Matthew Boyd</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>since</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>tree</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>how</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>test</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>half</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-9141\",\n  \"code\": \"ESH384\",\n  \"title\": \"Inverse real-time hardware 101\",\n  \"instructor\": \"Matthew Boyd\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"since\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"tree\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"how\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"test\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"half\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"December 2023\"\ntotal_revenue = 5338205\nunits_sold = 90572\n[[channels]]\nname = \"wholesale\"\nrevenue = 2316482\ngrowth = -1.07\n\n[[channels]]\nname = \"online\"\nrevenue = 3744469\ngrowth = -0.81\n\n[[top_products]]\nsku = \"SKU-4601\"\nsales = 454934\n\n[[top_products]]\nsku = \"SKU-9892\"\nsales = 55264\n\n[[top_products]]\nsku = \"SKU-8319\"\nsales = 254442\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2022\ntotal_revenue: 2472943\nunits_sold: 2053\nchannels:\n- name: wholesale\n  revenue: 3703587\n  growth: 38.49\n- name: retail\n  revenue: 3200920\n  growth: -8.82\ntop_products:\n- sku: SKU-8959\n  sales: 220308\n- sku: SKU-7189\n  sales: 206126\n- sku: SKU-5359\n  sales: 225947\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nac364ac2-d92b-4834-a49c-47c2d399ec87,\"[{\"\"sku\"\": \"\"SKU-74302\"\", \"\"qty\"\": 4, \"\"price\"\": 452.91}, {\"\"sku\"\": \"\"SKU-52720\"\", \"\"qty\"\": 2, \"\"price\"\": 224.23}, {\",paypal,1835.64,146.65,2026-01-06T09:43:31.108755,1321.62,TXN-98954474\r\n1590f751-a484-4b91-b45e-36b6752147ae,\"[{\"\"sku\"\": \"\"SKU-52422\"\", \"\"qty\"\": 1, \"\"price\"\": 48.01}]\",credit_card,1514.78,111.66,2026-01-06T09:43:31.115297,807.32,TXN-96728415\r\n3e074eb1-b4d2-45f9-9a80-97f885c23cd8,\"[{\"\"sku\"\": \"\"SKU-95070\"\", \"\"qty\"\": 5, \"\"price\"\": 75.68}, {\"\"sku\"\": \"\"SKU-23809\"\", \"\"qty\"\": 4, \"\"price\"\": 443.52}]\",paypal,321.18,81.05,2026-01-06T09:43:31.115398,407.88,TXN-21846270\r\n1cfd1cad-03ab-4bb8-a453-8c41881d2dd1,\"[{\"\"sku\"\": \"\"SKU-91747\"\", \"\"qty\"\": 1, \"\"price\"\": 136.83}]\",credit_card,807.36,98.13,2026-01-06T09:43:31.115466,1642.06,TXN-65666658\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-7169946</review_id>\n<product_id>PROD-908355</product_id>\n<user_id>109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0</user_id>\n<rating>3</rating>\n<title>Suffer kid daughter race still baby.</title>\n<content>Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\nRun rich marriage parent discover kitchen. Positive person baby list positive really range.</content>\n<date>2026-01-05</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>3</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-909141,Heather Stephens,RX-9719971\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-159791,Benjamin Hampton,RX-8081993\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-520777,Tommy Marshall,RX-4460819\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopri\",MRN-183404,Kayla Rice,RX-3413963\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-996269</assessment_id>\n<student_id>STU-878254</student_id>\n<course_id>CRS-8988</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>71</total_score>\n<percentage>94.86</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6204</course_id>\n<code>WOR378</code>\n<title>Multi-channeled bi-directional implementation 101</title>\n<instructor>Charlene Houston</instructor>\n<credits>4</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>under</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>good</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>grow</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>experience</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>offer</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>account</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-6204\",\n  \"code\": \"WOR378\",\n  \"title\": \"Multi-channeled bi-directional implementation 101\",\n  \"instructor\": \"Charlene Houston\",\n  \"credits\": 4,\n  \"term\": \"Spring 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"under\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"good\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"grow\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"experience\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"offer\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"account\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvas\",MRN-934255,Danielle Brown,RX-7665793\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-496122,Sean Brown,RX-4083533\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-441351,Matthew Watson,RX-8477428\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-768997,Thomas Gonzalez,RX-1067293\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn = \"MRN-119365\"\norder_date = \"2026-01-05\"\n[[results]]\ntest = \"Glucose\"\nvalue = 134.6\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 69.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 85.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 69.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 79.1\nunit = \"g/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-506156,observational,87,884,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 32.86, \"\"endpoint\"\": 81.82, \"\"p_value\"\": 0.3265}, {\"\"metric\"\": \"\"efficacy\",Effect of window on soldier\r\nsignificant,EXP-770920,cohort,50,829,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 26.74, \"\"endpoint\"\": 34.66, \"\"p_value\"\": 0.3504}, {\"\"metric\"\": \"\"effica\",Effect of important on responsibility\r\nsignificant,EXP-507814,observational,193,187,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 20.79, \"\"endpoint\"\": 87.66, \"\"p_value\"\": 0.0658}, {\"\"metric\"\": \"\"effica\",Effect of success on memory\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<value>911148</value>\n<contract_id>CTR-919818</contract_id>\n<parties>\n<name>Riggs, Carey and Rojas</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Mcdowell-Koch</name>\n<role>party_b</role>\n</parties>\n<status>active</status>\n<term_months>18</term_months>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"value\": 911148,\n  \"contract_id\": \"CTR-919818\",\n  \"parties\": [\n    {\n      \"name\": \"Riggs, Carey and Rojas\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Mcdowell-Koch\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"status\": \"active\",\n  \"term_months\": 18\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-8075236\"\nproduct_id = \"PROD-326180\"\nuser_id = \"e70c9373-b1ad-41a5-8939-e3c28041d8f5\"\nrating = 4\ntitle = \"Most teacher Mrs system watch.\"\ncontent = \"Address music major. Magazine three about. Security ready result improve.\\nHand other collection name wife remain. Speech perhaps newspaper. Talk place third about writer billion physical.\"\ndate = \"2026-01-03\"\nverified_purchase = false\nhelpful_votes = 50\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-225883\"\nstudent_id = \"STU-314827\"\ncourse_id = \"CRS-2408\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 99\npercentage = 82.0\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"424897c8-d97d-4bfb-9c1a-7b6e63fd6096\",\n  \"timestamp\": \"2026-01-07T13:51:27.529237\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"How these anyone stop indeed.\",\n  \"stack_trace\": [\n    \"at manage.py:289\",\n    \"at thing.py:107\",\n    \"at guy.py:172\",\n    \"at seat.py:479\"\n  ],\n  \"context\": {\n    \"user_id\": \"082cc3eb-3997-4d99-990c-f696ca4ee534\",\n    \"request_id\": \"0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.97232\ntitle: Enhanced background strategy\nauthors:\n- name: Sarah Odonnell\n  affiliation: Butler PLC\n  email: mistyreese@example.org\n- name: Lori Bishop\n  affiliation: Hansen and Sons\n  email: nmcguire@example.net\nabstract: Himself trial finish sister anyone. Where between test must large common\n  world. Find necessary outside.\nkeywords:\n- activity\n- face\n- enter\n- paper\npublication:\n  venue: Nature\n  year: 2024\n  doi: 10.9637/hhrK\ncitations: 73\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-931598\nname: Re-engineered non-volatile help-desk\ncategory: electronics\nprice: 197.4\ncurrency: USD\nstock: 351\nis_available: true\nrating: 3.22\nreviews: 172\nspecs:\n  weight_kg: 15.28\n  dimensions: 26x54x91cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-20150897\nplatform: instagram\nuser_id: ace3958f-4578-4576-9236-9cbfc1f62953\nusername: spatrick\ncontent: 'About industry woman size. Available box return camera public time. Establish\n  outside ability sport describe air who.\n\n  Certain miss girl different both wife. Blood relationship if model.'\ntimestamp: '2026-01-07T13:51:25.995017'\nhashtags:\n- '#share'\n- '#prevent'\n- '#entire'\n- '#owner'\nengagement:\n  likes: 3129\n  shares: 891\n  comments: 28\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-766800</assessment_id>\n<student_id>STU-927295</student_id>\n<course_id>CRS-8819</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>99</total_score>\n<percentage>71.71</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-766800\",\n  \"student_id\": \"STU-927295\",\n  \"course_id\": \"CRS-8819\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 99,\n  \"percentage\": 71.71,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-13058367</txn_id>\n<customer_id>852e4544-1bd4-44f1-abf0-2ff01b4a4792</customer_id>\n<timestamp>2026-01-07T13:51:26.835091</timestamp>\n<items>\n<sku>SKU-47822</sku>\n<qty>3</qty>\n<price>237.72</price>\n</items>\n<items>\n<sku>SKU-38430</sku>\n<qty>4</qty>\n<price>285.9</price>\n</items>\n<items>\n<sku>SKU-22327</sku>\n<qty>1</qty>\n<price>141.71</price>\n</items>\n<subtotal>408.33</subtotal>\n<tax>11.32</tax>\n<total>1142.29</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-13058367\",\n  \"customer_id\": \"852e4544-1bd4-44f1-abf0-2ff01b4a4792\",\n  \"timestamp\": \"2026-01-07T13:51:26.835091\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-47822\",\n      \"qty\": 3,\n      \"price\": 237.72\n    },\n    {\n      \"sku\": \"SKU-38430\",\n      \"qty\": 4,\n      \"price\": 285.9\n    },\n    {\n      \"sku\": \"SKU-22327\",\n      \"qty\": 1,\n      \"price\": 141.71\n    }\n  ],\n  \"subtotal\": 408.33,\n  \"tax\": 11.32,\n  \"total\": 1142.29,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWOR378,CRS-6204,4,40,30,30,Charlene Houston,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"under\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"trade\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"good\"\"}, {\"\"week\"\"\",Spring 2023,Multi-channeled bi-directional implementation 101\r\nIBK281,CRS-6337,4,40,30,30,Annette Reynolds,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"change\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"food\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"church\"\"}, {\"\"wee\",Spring 2020,Synchronized human-resource secured line 101\r\nFPA489,CRS-9603,3,40,30,30,Christopher Small,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"billion\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"perhaps\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"part\"\"}, {\"\"w\",Spring 2022,User-friendly coherent database 101\r\nYOF278,CRS-2034,4,40,30,30,Jennifer Salazar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"prepare\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"true\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"family\"\"}, {\"\"we\",Spring 2023,Configurable holistic website 101\r\nMTJ262,CRS-4594,3,40,30,30,Zachary Williams,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"consider\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"product\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"face\"\"}, {\"\"\",Fall 2023,Devolved mobile concept 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Nichols, Ferguson and Butler\",\n  \"ticker\": \"NDVN\",\n  \"quarter\": \"Q1 2022\",\n  \"revenue\": 39470251,\n  \"expenses\": 26562838,\n  \"net_income\": 16784469,\n  \"eps\": 3.2,\n  \"metrics\": {\n    \"profit_margin\": 27.93,\n    \"roe\": 5.96\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Nichols, Ferguson and Butler</company>\n<ticker>NDVN</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>39470251</revenue>\n<expenses>26562838</expenses>\n<net_income>16784469</net_income>\n<eps>3.2</eps>\n<metrics>\n<profit_margin>27.93</profit_margin>\n<roe>5.96</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate social media post data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78635818</post_id>\n<platform>facebook</platform>\n<user_id>a739269a-9642-463c-9c88-cb97c795c8d8</user_id>\n<username>kevin10</username>\n<content>Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.</content>\n<timestamp>2026-01-07T13:51:25.965362</timestamp>\n<hashtags>#model</hashtags>\n<hashtags>#firm</hashtags>\n<engagement>\n<likes>3831</likes>\n<shares>379</shares>\n<comments>204</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-428311\nname: Object-based value-added workforce\ncategory: books\nprice: 802.3\ncurrency: USD\nstock: 719\nis_available: true\nrating: 1.5\nreviews: 81\nspecs:\n  weight_kg: 27.85\n  dimensions: 99x87x32cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 235807, \"\"growth\"\": 46.03}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4419318, \"\"\",,,,,February 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-6554\"\", \"\"sales\"\": 258652}, {\"\"sku\"\": \"\"SKU-8652\"\", \"\"sales\"\": 200091}, {\"\"sku\"\": \"\"SKU-9581\"\", \"\"sa\",2007174,24558\r\n\"Without assume market. Middle style sound professor.\nCapital suddenly defense eight watch soon. Gard\",\"[{\"\"name\"\": \"\"Jessica Bishop\"\", \"\"affiliation\"\": \"\"Padilla PLC\"\", \"\"email\"\": \"\"johnperkins@example.net\"\"}, {\"\"nam\",,122,\"Brown, Edwards and Anderson\",\"[\"\"morning\"\", \"\"gas\"\", \"\"those\"\"]\",arXiv:2021.92662,,10.6655/mbuo,Science,2024,Configurable radical concept,,,\r\nTrouble detail paper already social. Free word performance suffer really. Woman often laugh hear who,\"[{\"\"name\"\": \"\"Jennifer Bradley\"\", \"\"affiliation\"\": \"\"Tapia, Frost and Mitchell\"\", \"\"email\"\": \"\"ellisheidi@examp\",,1,None,\"[\"\"behavior\"\", \"\"benefit\"\", \"\"realize\"\"]\",arXiv:2024.62231,,10.8481/ngag,Cell,2023,Diverse 24/7 moderator,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<units_sold>11543</units_sold>\n<period>June 2021</period>\n<channels>\n<name>online</name>\n<revenue>1417680</revenue>\n<growth>41.94</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3176166</revenue>\n<growth>26.78</growth>\n</channels>\n<total_revenue>8223229</total_revenue>\n<top_products>\n<sku>SKU-9002</sku>\n<sales>412560</sales>\n</top_products>\n<top_products>\n<sku>SKU-3918</sku>\n<sales>426996</sales>\n</top_products>\n<top_products>\n<sku>SKU-1618</sku>\n<sales>496165</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"units_sold\": 11543,\n  \"period\": \"June 2021\",\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1417680,\n      \"growth\": 41.94\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3176166,\n      \"growth\": 26.78\n    }\n  ],\n  \"total_revenue\": 8223229,\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9002\",\n      \"sales\": 412560\n    },\n    {\n      \"sku\": \"SKU-3918\",\n      \"sales\": 426996\n    },\n    {\n      \"sku\": \"SKU-1618\",\n      \"sales\": 496165\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.53732\",\n  \"title\": \"De-engineered exuding monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Joseph Johnson\",\n      \"affiliation\": \"Mccann, Romero and Ortiz\",\n      \"email\": \"wcook@example.org\"\n    },\n    {\n      \"name\": \"Mr. Henry Thomas\",\n      \"affiliation\": \"Clarke-Williams\",\n      \"email\": \"mlittle@example.com\"\n    }\n  ],\n  \"abstract\": \"Cut happen you after talk trial accept she. Country church development card. Learn support son service.\",\n  \"keywords\": [\n    \"positive\",\n    \"American\",\n    \"hand\",\n    \"sure\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2024,\n    \"doi\": \"10.3815/gTFt\"\n  },\n  \"citations\": 88,\n  \"funding_source\": \"Kim LLC\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2020\"\ntotal_revenue = 2337421\nunits_sold = 23839\n[[channels]]\nname = \"retail\"\nrevenue = 3840938\ngrowth = 18.52\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1512471\ngrowth = 13.02\n\n[[top_products]]\nsku = \"SKU-1744\"\nsales = 276633\n\n[[top_products]]\nsku = \"SKU-5145\"\nsales = 26445\n\n[[top_products]]\nsku = \"SKU-9218\"\nsales = 412054\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-6204\ncode: WOR378\ntitle: Multi-channeled bi-directional implementation 101\ninstructor: Charlene Houston\ncredits: 4\nterm: Spring 2023\nschedule:\n- week: 1\n  topic: under\n- week: 2\n  topic: trade\n- week: 3\n  topic: good\n- week: 4\n  topic: grow\n- week: 5\n  topic: ability\n- week: 6\n  topic: experience\n- week: 7\n  topic: offer\n- week: 8\n  topic: account\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"name\"\": \"\"Caroline Barnes\"\", \"\"affiliation\"\": \"\"Parker Ltd\"\", \"\"email\"\": \"\"angelajackson@example.net\"\"}, {\"\"n\",,None,,,,,,Polarized methodical algorithm\r\nWhite society church break ready address thought hour. Agent national low win despite staff. Foreign,\"[{\"\"name\"\": \"\"Melanie Combs\"\", \"\"affiliation\"\": \"\"Boone-Patel\"\", \"\"email\"\": \"\"hannah03@example.com\"\"}, {\"\"name\"\": \",177,\"Parker, White and Dunlap\",\"[\"\"again\"\", \"\"study\"\", \"\"impact\"\"]\",arXiv:2024.46227,10.2940/McCw,Cell,2023,Versatile multi-state workforce\r\nInformation find establish note these tough so. Brother big first. Cell government section contain b,\"[{\"\"name\"\": \"\"Jennifer Williams\"\", \"\"affiliation\"\": \"\"Williams and Sons\"\", \"\"email\"\": \"\"wtucker@example.com\"\"}, \",372,Stewart-Martin,\"[\"\"movement\"\", \"\"red\"\", \"\"also\"\", \"\"phone\"\", \"\"international\"\"]\",arXiv:2020.72457,10.4229/qult,Cell,2024,Inverse reciprocal hub\r\nAction good could campaign. Keep similar office beyond late. Truth similar life well down condition ,\"[{\"\"name\"\": \"\"Barbara Johnson\"\", \"\"affiliation\"\": \"\"Fuller-Davies\"\", \"\"email\"\": \"\"grayjoanna@example.net\"\"}, {\"\"n\",382,None,\"[\"\"growth\"\", \"\"small\"\", \"\"indicate\"\", \"\"rate\"\", \"\"since\"\"]\",arXiv:2021.34255,10.5216/HFKy,Science,2024,Enterprise-wide dedicated groupware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"385c5830-2f90-42e3-ae2f-53faace4448a\",\n  \"timestamp\": \"2026-01-07T13:51:26.292009\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"almostService\",\n  \"message\": \"People party agreement mother that investment approach.\",\n  \"stack_trace\": [\n    \"at fight.py:491\",\n    \"at city.py:369\",\n    \"at statement.py:378\"\n  ],\n  \"context\": {\n    \"user_id\": \"264dfcb4-39aa-45b1-999f-d115795470f4\",\n    \"request_id\": \"4c579c9e-314d-44f6-9e5a-9c3c95ea5e82\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>385c5830-2f90-42e3-ae2f-53faace4448a</error_id>\n<timestamp>2026-01-07T13:51:26.292009</timestamp>\n<level>CRITICAL</level>\n<service>almostService</service>\n<message>People party agreement mother that investment approach.</message>\n<stack_trace>at fight.py:491</stack_trace>\n<stack_trace>at city.py:369</stack_trace>\n<stack_trace>at statement.py:378</stack_trace>\n<context>\n<user_id>264dfcb4-39aa-45b1-999f-d115795470f4</user_id>\n<request_id>4c579c9e-314d-44f6-9e5a-9c3c95ea5e82</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Synchronized holistic archive API\"\nversion = \"1.0.0\"\n\n[paths.\"/policy\".get]\nsummary = \"Red reason present loss yeah run.\"\n[[paths.\"/policy\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/policy\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/policy\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\",\n  \"timestamp\": \"2026-01-07T13:51:26.554266\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"Attack candidate in give wish tree.\",\n  \"stack_trace\": [\n    \"at thousand.py:354\",\n    \"at forget.py:20\",\n    \"at consider.py:392\"\n  ],\n  \"context\": {\n    \"user_id\": \"d753ac0c-8931-4c37-8bd5-01413aaaba41\",\n    \"request_id\": \"b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>fd278ff8-fdfc-4b1d-81ec-31cf5ce70502</error_id>\n<timestamp>2026-01-07T13:51:26.554266</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>Attack candidate in give wish tree.</message>\n<stack_trace>at thousand.py:354</stack_trace>\n<stack_trace>at forget.py:20</stack_trace>\n<stack_trace>at consider.py:392</stack_trace>\n<context>\n<user_id>d753ac0c-8931-4c37-8bd5-01413aaaba41</user_id>\n<request_id>b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2022\"\ntotal_revenue = 7287772\nunits_sold = 8566\n[[channels]]\nname = \"retail\"\nrevenue = 931216\ngrowth = 10.96\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1224016\ngrowth = 31.92\n\n[[top_products]]\nsku = \"SKU-1474\"\nsales = 19268\n\n[[top_products]]\nsku = \"SKU-3289\"\nsales = 31397\n\n[[top_products]]\nsku = \"SKU-4950\"\nsales = 322920\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Business-focused zero administration encryption API\"\nversion = \"1.0.0\"\n\n[paths.\"/teach\".get]\nsummary = \"Government trade direction personal reason hundred\"\n[[paths.\"/teach\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/teach\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/teach\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/teach\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output contract as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-784600\"\neffective_date = \"2026-01-06\"\nterm_months = 16\nvalue = 53888\nstatus = \"active\"\n[[parties]]\nname = \"Snyder-Thornton\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Oliver Group\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.54834\"\ntitle = \"Profit-focused radical throughput\"\nabstract = \"Read deal buy final thus. Sure home game rest lose.\\nThose any reality if teach.\\nMain never still little study clearly today.\"\nkeywords = [ \"measure\", \"stage\", \"scene\", \"reason\",]\ncitations = 388\nfunding_source = \"Reese-Perez\"\n[[authors]]\nname = \"Scott Dunlap\"\naffiliation = \"Daniels PLC\"\nemail = \"williamssheri@example.com\"\n\n[[authors]]\nname = \"Shawn Payne\"\naffiliation = \"Dorsey, Price and Burns\"\nemail = \"smoyer@example.net\"\n\n[[authors]]\nname = \"Chase Lee\"\naffiliation = \"Garcia Inc\"\nemail = \"burgesssarah@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2020\ndoi = \"10.8776/UhOT\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output lab result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2188860,Michael Logan,\"Include start build no effort continue. Mention sister mention threat.\nChoose herself case writer qu\",Advanced well-modulated service-desk,2026-01-03T08:09:52.608144,Politics,1092,\"[\"\"hear\"\", \"\"civil\"\", \"\"might\"\", \"\"way\"\", \"\"win\"\"]\",35184\r\nART-5279021,Kyle Gross,\"Century seven pattern source third direction.\nDecide term play arm society book middle civil. Read c\",Triple-buffered national framework,2026-01-01T19:32:05.732344,Politics,3800,\"[\"\"memory\"\", \"\"own\"\", \"\"practice\"\", \"\"might\"\"]\",21505\r\nART-8637940,Lindsey Anderson,Away third sit understand provide. Perform thus management science eye arrive. Cut door stay letter.,Phased empowering flexibility,2026-01-04T05:38:14.171487,Sports,2145,\"[\"\"she\"\", \"\"animal\"\", \"\"history\"\"]\",53299\r\nART-9980906,Matthew Avila MD,\"Each hand kitchen require any tax right. Dream themselves seven. Thank process defense.\nKnowledge ca\",Switchable attitude-oriented model,2026-01-02T12:21:09.133361,Politics,212,\"[\"\"source\"\", \"\"west\"\", \"\"prevent\"\"]\",20058\r\nART-4267125,Dustin Carr,Need well lose others. Truth main wait according vote enter system. Against common conference skill ,Diverse neutral parallelism,2026-01-04T05:56:49.453140,Tech,4281,\"[\"\"available\"\", \"\"certainly\"\", \"\"require\"\", \"\"task\"\", \"\"section\"\"]\",74972\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9047593\npatient_mrn: MRN-478989\norder_date: '2026-01-06'\npanel: CMP\nresults:\n- test: Hemoglobin\n  value: 171.8\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 58.0\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 78.7\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 138.7\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 51.5\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 141.9\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 191.7\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-996269,,CRS-8988,,2026-01-03,B,,,,,94.86,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-878254,,,71,exam\r\n,GFN193,CRS-3494,4,,,40,30,30,Kelsey Gonzales,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"class\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"eat\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"thought\"\"}, {\"\"week\",,,Fall 2021,Secured motivating framework 101,,\r\n,RSA346,CRS-3718,4,,,40,30,30,Jacob Hodges,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"national\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"debate\"\"}, {\"\"wee\",,,Fall 2020,Virtual composite conglomeration 101,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id: ASMT-996269\nstudent_id: STU-878254\ncourse_id: CRS-8988\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 3\n  points_possible: 10\n- question: 7\n  points_earned: 9\n  points_possible: 10\n- question: 8\n  points_earned: 7\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: 71\npercentage: 94.86\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title\r\nASMT-449365,,CRS-7384,,,,,,93.41,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 3, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-272846,,\r\n,DSN379,CRS-8647,4,40,30,30,Darlene Kaufman,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"full\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"future\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"international\"\"}\",,,Fall 2023,Advanced scalable open system 101\r\n,XVH245,CRS-6325,3,40,30,30,Diana Morgan,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"record\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"drug\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"pick\"\"}, {\"\"week\"\"\",,,Fall 2021,Re-contextualized tangible methodology 101\r\n,XXU298,CRS-6606,4,40,30,30,Monica Clark,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"his\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"almost\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"rule\"\"}, {\"\"week\"\":\",,,Spring 2022,Multi-lateral tangible definition 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"txn_id\": \"TXN-95106885\",\n  \"customer_id\": \"9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\",\n  \"timestamp\": \"2026-01-07T13:51:27.692524\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-33525\",\n      \"qty\": 3,\n      \"price\": 130.6\n    }\n  ],\n  \"subtotal\": 793.41,\n  \"tax\": 85.16,\n  \"total\": 1645.24,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-95106885</txn_id>\n<customer_id>9090a0a6-3421-4a93-9d6e-78b6a1f8fed7</customer_id>\n<timestamp>2026-01-07T13:51:27.692524</timestamp>\n<items>\n<sku>SKU-33525</sku>\n<qty>3</qty>\n<price>130.6</price>\n</items>\n<subtotal>793.41</subtotal>\n<tax>85.16</tax>\n<total>1645.24</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3472932\"\npanel = \"CBC\"\npatient_mrn = \"MRN-325515\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 124.8\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 176.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 198.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 69.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 139.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 71.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 167.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"February 2024\",\n  \"total_revenue\": 3108970,\n  \"units_sold\": 70292,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1867975,\n      \"growth\": -2.95\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1947932,\n      \"growth\": 22.54\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5409\",\n      \"sales\": 492017\n    },\n    {\n      \"sku\": \"SKU-4816\",\n      \"sales\": 486050\n    },\n    {\n      \"sku\": \"SKU-9957\",\n      \"sales\": 44038\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2024</period>\n<total_revenue>3108970</total_revenue>\n<units_sold>70292</units_sold>\n<channels>\n<name>online</name>\n<revenue>1867975</revenue>\n<growth>-2.95</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1947932</revenue>\n<growth>22.54</growth>\n</channels>\n<top_products>\n<sku>SKU-5409</sku>\n<sales>492017</sales>\n</top_products>\n<top_products>\n<sku>SKU-4816</sku>\n<sales>486050</sales>\n</top_products>\n<top_products>\n<sku>SKU-9957</sku>\n<sales>44038</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-818679</experiment_id>\n<title>Effect of begin on task</title>\n<methodology>\n<design>RCT</design>\n<sample_size>180</sample_size>\n<duration_days>157</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>17.77</baseline>\n<endpoint>32.37</endpoint>\n<p_value>0.477</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>20.98</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.2984</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id = \"EXP-818679\"\ntitle = \"Effect of begin on task\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 17.77\nendpoint = 32.37\np_value = 0.477\n\n[[results]]\nmetric = \"safety\"\nbaseline = 20.98\nendpoint = 13.84\np_value = 0.2984\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 180\nduration_days = 157\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Hardy-Nguyen\"\nticker = \"ZAMS\"\nquarter = \"Q3 2024\"\nrevenue = 23201336\nexpenses = 30350118\nnet_income = 14673850\neps = 3.22\n\n[metrics]\nprofit_margin = 18.82\nroe = 21.21\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"September 2024\",\n  \"total_revenue\": 6726526,\n  \"units_sold\": 45392,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2051641,\n      \"growth\": 15.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4340607,\n      \"growth\": -6.59\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7798\",\n      \"sales\": 367269\n    },\n    {\n      \"sku\": \"SKU-2105\",\n      \"sales\": 291023\n    },\n    {\n      \"sku\": \"SKU-5730\",\n      \"sales\": 275348\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-554535\"\nstudent_id = \"STU-693793\"\ncourse_id = \"CRS-9992\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 86\npercentage = 63.99\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6952117</note_id>\n<patient>\n<mrn>MRN-227055</mrn>\n<age>50</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>146/78</bp>\n<hr>63</hr>\n<temp_f>97.9</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J35</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I58</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-6952117\",\n  \"patient\": {\n    \"mrn\": \"MRN-227055\",\n    \"age\": 50,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"146/78\",\n    \"hr\": 63,\n    \"temp_f\": 97.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J35\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I58\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Bank commercial moment hit message wear. Seat spend teacher medical PM face value prepare. It room w,,2026-01-02,51,,,,PROD-123240,1,REV-9665927,,,,,Next several he.,d2c836c7-2932-4a10-8e93-80f628cd9453,False\r\nclothing,,USD,,,True,Mandatory systemic circuit,423.65,PROD-580697,2.48,,171,64x66x82cm,20.46,440,,,\r\nclothing,,USD,,,True,Public-key dynamic parallelism,706.35,PROD-641856,2.33,,766,91x69x47cm,7.08,162,,,\r\nbooks,,USD,,,True,Triple-buffered high-level support,268.17,PROD-723098,4.75,,885,95x11x74cm,23.01,478,,,\r\nclothing,,USD,,,True,Persevering next generation open system,881.27,PROD-707771,4.21,,780,40x83x21cm,12.2,438,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need student assessment details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,course_id,date,grade,percentage,scores,student_id,total_score,type\r\nASMT-295763,,2026-01-01,,,,,78,assignment\r\nASMT-385704,CRS-9208,2026-01-05,B,76.32,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 6, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-733171,87,quiz\r\nASMT-807971,CRS-9675,2026-01-01,A,69.35,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 7, \"\"po\",STU-768983,92,assignment\r\nASMT-526564,CRS-4629,2026-01-03,C,71.61,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 7, \"\"po\",STU-638781,97,quiz\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,subtotal,title,total\r\n,,,,,,apple_pay,,,,205.31,,1732.06\r\nAbility budget west experience. Article thing their statement guy. Very life skill fear executive tr,\"[{\"\"name\"\": \"\"Karen Olson\"\", \"\"affiliation\"\": \"\"Bryant, Harris and Baker\"\", \"\"email\"\": \"\"tinagraves@example.com\",246,None,\"[\"\"give\"\", \"\"brother\"\", \"\"federal\"\", \"\"some\"\", \"\"senior\"\"]\",arXiv:2021.85268,,10.2921/PETm,Nature,2020,,Integrated analyzing knowledgebase,\r\nOnly drive happen size stay run many. Generation down national check strategy.,\"[{\"\"name\"\": \"\"Olivia Clark\"\", \"\"affiliation\"\": \"\"Hawkins-Kelley\"\", \"\"email\"\": \"\"vgarcia@example.net\"\"}, {\"\"name\"\":\",206,\"Boone, Bell and Keller\",\"[\"\"campaign\"\", \"\"nothing\"\", \"\"often\"\"]\",arXiv:2022.65815,,10.7165/uJjY,Nature,2023,,Quality-focused full-range definition,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-4036732\",\n  \"patient\": {\n    \"mrn\": \"MRN-366942\",\n    \"age\": 79,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"102/96\",\n    \"hr\": 61,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K52\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4036732</note_id>\n<patient>\n<mrn>MRN-366942</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>102/96</bp>\n<hr>61</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K52</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-66277640\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"7e83a029-16e2-49ad-a855-906c882abe46\",\n  \"username\": \"reynoldstaylor\",\n  \"content\": \"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.\",\n  \"timestamp\": \"2026-01-07T13:51:26.676406\",\n  \"hashtags\": [\n    \"#case\",\n    \"#along\",\n    \"#only\",\n    \"#have\"\n  ],\n  \"engagement\": {\n    \"likes\": 9942,\n    \"shares\": 119,\n    \"comments\": 368\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-66277640</post_id>\n<platform>instagram</platform>\n<user_id>7e83a029-16e2-49ad-a855-906c882abe46</user_id>\n<username>reynoldstaylor</username>\n<content>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.</content>\n<timestamp>2026-01-07T13:51:26.676406</timestamp>\n<hashtags>#case</hashtags>\n<hashtags>#along</hashtags>\n<hashtags>#only</hashtags>\n<hashtags>#have</hashtags>\n<engagement>\n<likes>9942</likes>\n<shares>119</shares>\n<comments>368</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-971888\nparties:\n- name: Young Ltd\n  role: party_a\n- name: Grant Inc\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 21\nvalue: 932511\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-2575466\",\n  \"product_id\": \"PROD-346187\",\n  \"user_id\": \"320eb87e-12bd-44ab-bb47-6fec45bd5144\",\n  \"rating\": 1,\n  \"title\": \"Possible modern last rate memory fight conference \",\n  \"content\": \"Character walk loss rock me social gun.\\nCenter choice either push. Push stop yourself.\",\n  \"date\": \"2026-01-01\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 26\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2575466</review_id>\n<product_id>PROD-346187</product_id>\n<user_id>320eb87e-12bd-44ab-bb47-6fec45bd5144</user_id>\n<rating>1</rating>\n<title>Possible modern last rate memory fight conference </title>\n<content>Character walk loss rock me social gun.\nCenter choice either push. Push stop yourself.</content>\n<date>2026-01-01</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>26</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8332f894-7969-41dc-b41e-1d31b796cba0</error_id>\n<timestamp>2026-01-07T13:51:27.125156</timestamp>\n<level>CRITICAL</level>\n<service>imageService</service>\n<message>Bad prepare able heavy morning.</message>\n<stack_trace>at property.py:50</stack_trace>\n<stack_trace>at short.py:272</stack_trace>\n<context>\n<user_id>a3de195f-baae-4936-bd72-230b1e266327</user_id>\n<request_id>35eb846c-1e2f-4451-a60f-b8ee42943a10</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"8332f894-7969-41dc-b41e-1d31b796cba0\",\n  \"timestamp\": \"2026-01-07T13:51:27.125156\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"imageService\",\n  \"message\": \"Bad prepare able heavy morning.\",\n  \"stack_trace\": [\n    \"at property.py:50\",\n    \"at short.py:272\"\n  ],\n  \"context\": {\n    \"user_id\": \"a3de195f-baae-4936-bd72-230b1e266327\",\n    \"request_id\": \"35eb846c-1e2f-4451-a60f-b8ee42943a10\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2969434\"\npatient_mrn = \"MRN-921030\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 90.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 139.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 100.3\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 114.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 167.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 173.6\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,medications,paper_id,prescriber,publication_doi,publication_venue,publication_year,title\r\n,,,2026-01-03,,,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",,Isaac Howard,,,,\r\n\"Owner threat quite because kid force. Already minute fine effort.\nCell thing wife.\",\"[{\"\"name\"\": \"\"Ashley Leon\"\", \"\"affiliation\"\": \"\"Moore Group\"\", \"\"email\"\": \"\"zsmith@example.com\"\"}, {\"\"name\"\": \"\"Apr\",343,,None,\"[\"\"system\"\", \"\"shake\"\", \"\"human\"\", \"\"without\"\", \"\"anyone\"\"]\",,arXiv:2021.63755,,10.4751/DMfb,Nature,2022,Inverse bifurcated solution\r\nReturn mission friend. Beautiful buy certainly body effort claim. Prevent land national military off,\"[{\"\"name\"\": \"\"Vickie Lara\"\", \"\"affiliation\"\": \"\"Fuller Inc\"\", \"\"email\"\": \"\"uperry@example.net\"\"}, {\"\"name\"\": \"\"Thom\",306,,Lynn-James,\"[\"\"government\"\", \"\"ready\"\", \"\"conference\"\", \"\"more\"\", \"\"Republican\"\"]\",,arXiv:2021.91225,,10.8838/APmf,Cell,2022,Open-source solution-oriented open system\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6817528\"\npatient_mrn = \"MRN-230360\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 173.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 159.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 184.3\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 157.8\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 71.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 53.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7309915</rx_id>\n<patient_mrn>MRN-389849</patient_mrn>\n<prescriber>Briana Dickerson</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-228148,LAB-2441646,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 81.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 107.7,\"\r\n2026-01-03,CMP,MRN-599615,LAB-7856825,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 105.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-03,CBC,MRN-222759,LAB-4252182,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 198.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 68.9,\"\r\n2026-01-06,CBC,MRN-277447,LAB-4109705,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 107.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-04,CBC,MRN-971157,LAB-5165897,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 174.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1192\ncode: ZNH157\ntitle: Extended didactic policy 101\ninstructor: Mario Gonzalez\ncredits: 3\nterm: Spring 2020\nschedule:\n- week: 1\n  topic: base\n- week: 2\n  topic: of\n- week: 3\n  topic: think\n- week: 4\n  topic: other\n- week: 5\n  topic: you\n- week: 6\n  topic: boy\n- week: 7\n  topic: after\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"ff91c212-6cce-4ac2-978d-0740381882de\",\n  \"timestamp\": \"2026-01-07T13:51:27.679071\",\n  \"level\": \"WARNING\",\n  \"service\": \"drawService\",\n  \"message\": \"Support red list product forget cut speak.\",\n  \"stack_trace\": [\n    \"at girl.py:186\",\n    \"at hold.py:186\"\n  ],\n  \"context\": {\n    \"user_id\": \"473e683b-291e-461f-b848-d224b7dcbd8b\",\n    \"request_id\": \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>ff91c212-6cce-4ac2-978d-0740381882de</error_id>\n<timestamp>2026-01-07T13:51:27.679071</timestamp>\n<level>WARNING</level>\n<service>drawService</service>\n<message>Support red list product forget cut speak.</message>\n<stack_trace>at girl.py:186</stack_trace>\n<stack_trace>at hold.py:186</stack_trace>\n<context>\n<user_id>473e683b-291e-461f-b848-d224b7dcbd8b</user_id>\n<request_id>454a35ad-23ee-42a8-9d57-dbf5cedbef74</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-458464\"\nstudent_id = \"STU-453066\"\ncourse_id = \"CRS-7675\"\ntype = \"assignment\"\ndate = \"2026-01-06\"\ntotal_score = 67\npercentage = 65.79\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9529513</review_id>\n<product_id>PROD-542599</product_id>\n<user_id>67bb80c4-7c72-4c1b-886f-8186f18f45e3</user_id>\n<rating>3</rating>\n<title>Money face statement talk day.</title>\n<content>Candidate stuff mission end nature hundred. Recently game stage agreement. Seem central blood add environment several.\nSet less job reveal protect. Similar second staff owner international major.</content>\n<date>2026-01-01</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>8</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-30876983\",\n  \"customer_id\": \"b5aca191-66fe-49e0-85ce-2d363d5ef454\",\n  \"timestamp\": \"2026-01-07T13:51:26.163076\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-56664\",\n      \"qty\": 2,\n      \"price\": 285.83\n    },\n    {\n      \"sku\": \"SKU-25305\",\n      \"qty\": 1,\n      \"price\": 45.15\n    },\n    {\n      \"sku\": \"SKU-78820\",\n      \"qty\": 4,\n      \"price\": 47.49\n    }\n  ],\n  \"subtotal\": 199.93,\n  \"tax\": 118.13,\n  \"total\": 913.78,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-30876983</txn_id>\n<customer_id>b5aca191-66fe-49e0-85ce-2d363d5ef454</customer_id>\n<timestamp>2026-01-07T13:51:26.163076</timestamp>\n<items>\n<sku>SKU-56664</sku>\n<qty>2</qty>\n<price>285.83</price>\n</items>\n<items>\n<sku>SKU-25305</sku>\n<qty>1</qty>\n<price>45.15</price>\n</items>\n<items>\n<sku>SKU-78820</sku>\n<qty>4</qty>\n<price>47.49</price>\n</items>\n<subtotal>199.93</subtotal>\n<tax>118.13</tax>\n<total>913.78</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9346457\"\npatient_mrn = \"MRN-685856\"\nprescriber = \"Thomas Archer\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-4278484</rx_id>\n<patient_mrn>MRN-990980</patient_mrn>\n<prescriber>Andrew Kelly</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"result_id\": \"LAB-3941350\",\n  \"patient_mrn\": \"MRN-739958\",\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 134.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 188.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 117.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 159.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3941350</result_id>\n<patient_mrn>MRN-739958</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>134.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>188.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>117.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>159.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.5</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9719971\npatient_mrn: MRN-909141\nprescriber: Heather Stephens\ndate: '2026-01-05'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-956799</experiment_id>\n<title>Effect of town on start</title>\n<methodology>\n<design>RCT</design>\n<sample_size>962</sample_size>\n<duration_days>355</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>84.98</baseline>\n<endpoint>18.54</endpoint>\n<p_value>0.3765</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>50.71</baseline>\n<endpoint>79.49</endpoint>\n<p_value>0.1783</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.25</baseline>\n<endpoint>81.5</endpoint>\n<p_value>0.0959</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>53.32</baseline>\n<endpoint>58.41</endpoint>\n<p_value>0.1807</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-956799\",\n  \"title\": \"Effect of town on start\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 962,\n    \"duration_days\": 355\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 84.98,\n      \"endpoint\": 18.54,\n      \"p_value\": 0.3765\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 50.71,\n      \"endpoint\": 79.49,\n      \"p_value\": 0.1783\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.25,\n      \"endpoint\": 81.5,\n      \"p_value\": 0.0959\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 53.32,\n      \"endpoint\": 58.41,\n      \"p_value\": 0.1807\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>October 2022</period>\n<total_revenue>4790876</total_revenue>\n<units_sold>72609</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1112533</revenue>\n<growth>2.85</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3150615</revenue>\n<growth>-3.34</growth>\n</channels>\n<top_products>\n<sku>SKU-7795</sku>\n<sales>492045</sales>\n</top_products>\n<top_products>\n<sku>SKU-5231</sku>\n<sales>195976</sales>\n</top_products>\n<top_products>\n<sku>SKU-5539</sku>\n<sales>335045</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4315709</note_id>\n<patient>\n<mrn>MRN-534874</mrn>\n<age>89</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>165/61</bp>\n<hr>112</hr>\n<temp_f>99.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I12</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K62</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3793814\"\npatient_mrn = \"MRN-247204\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 188.2\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 197.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 196.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 193.9\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 197.2\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 109.5\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-9529513\nproduct_id: PROD-542599\nuser_id: 67bb80c4-7c72-4c1b-886f-8186f18f45e3\nrating: 3\ntitle: Money face statement talk day.\ncontent: 'Candidate stuff mission end nature hundred. Recently game stage agreement.\n  Seem central blood add environment several.\n\n  Set less job reveal protect. Similar second staff owner international major.'\ndate: '2026-01-01'\nverified_purchase: true\nhelpful_votes: 8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"company\": \"Scott-Campbell\",\n  \"ticker\": \"SZQB\",\n  \"quarter\": \"Q2 2021\",\n  \"revenue\": 15063505,\n  \"expenses\": 40738667,\n  \"net_income\": 16626814,\n  \"eps\": 6.47,\n  \"metrics\": {\n    \"profit_margin\": 15.92,\n    \"roe\": 8.35\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"Scott-Campbell\"\nticker = \"SZQB\"\nquarter = \"Q2 2021\"\nrevenue = 15063505\nexpenses = 40738667\nnet_income = 16626814\neps = 6.47\n\n[metrics]\nprofit_margin = 15.92\nroe = 8.35\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-20904368</txn_id>\n<customer_id>3fe35528-f72a-4e45-bcf8-f7cb059fe7e5</customer_id>\n<timestamp>2026-01-07T13:51:27.778783</timestamp>\n<items>\n<sku>SKU-59380</sku>\n<qty>2</qty>\n<price>447.63</price>\n</items>\n<items>\n<sku>SKU-56357</sku>\n<qty>4</qty>\n<price>130.56</price>\n</items>\n<items>\n<sku>SKU-96740</sku>\n<qty>2</qty>\n<price>230.78</price>\n</items>\n<items>\n<sku>SKU-55928</sku>\n<qty>1</qty>\n<price>169.07</price>\n</items>\n<subtotal>1853.52</subtotal>\n<tax>74.51</tax>\n<total>1419.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-20904368\",\n  \"customer_id\": \"3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\",\n  \"timestamp\": \"2026-01-07T13:51:27.778783\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-59380\",\n      \"qty\": 2,\n      \"price\": 447.63\n    },\n    {\n      \"sku\": \"SKU-56357\",\n      \"qty\": 4,\n      \"price\": 130.56\n    },\n    {\n      \"sku\": \"SKU-96740\",\n      \"qty\": 2,\n      \"price\": 230.78\n    },\n    {\n      \"sku\": \"SKU-55928\",\n      \"qty\": 1,\n      \"price\": 169.07\n    }\n  ],\n  \"subtotal\": 1853.52,\n  \"tax\": 74.51,\n  \"total\": 1419.49,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Base focus floor identify this rock.\nMajor deep every right claim. Miss war respond development chan\",272,4451,394,\"[\"\"#free\"\", \"\"#radio\"\", \"\"#simply\"\"]\",facebook,POST-68652586,2026-01-06T09:43:33.643140,ecff25b9-c834-4842-9322-d5a0f998dcf3,brittanyfranklin\r\nBenefit song yeah marriage thank. Likely need three show blood consider already. Maybe strategy indu,112,2130,13,\"[\"\"#experience\"\", \"\"#road\"\"]\",twitter,POST-12399336,2026-01-06T09:43:33.647989,687a36e7-e7d8-444a-8049-f082d83b0b1f,bennetthector\r\n\"Who poor dream see think hope statement.\nAway type at whole popular. Anyone operation room wear go.\",460,1658,559,\"[\"\"#relate\"\", \"\"#small\"\", \"\"#call\"\", \"\"#agreement\"\"]\",instagram,POST-86423890,2026-01-06T09:43:33.648747,7a8a1a58-a928-4770-82d6-9961c642a284,steeledavid\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-66277640</post_id>\n<platform>instagram</platform>\n<user_id>7e83a029-16e2-49ad-a855-906c882abe46</user_id>\n<username>reynoldstaylor</username>\n<content>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.</content>\n<timestamp>2026-01-07T13:51:26.676406</timestamp>\n<hashtags>#case</hashtags>\n<hashtags>#along</hashtags>\n<hashtags>#only</hashtags>\n<hashtags>#have</hashtags>\n<engagement>\n<likes>9942</likes>\n<shares>119</shares>\n<comments>368</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Thousand book animal myself wear beautiful. Room rock couple reality her.\nJoin town travel agency va\",368,9942,119,\"[\"\"#case\"\", \"\"#along\"\", \"\"#only\"\", \"\"#have\"\"]\",instagram,POST-66277640,2026-01-07T13:51:26.676406,7e83a029-16e2-49ad-a855-906c882abe46,reynoldstaylor\r\n\"Decade car we. Itself friend nearly institution treatment manager me manage.\nEver join beyond memory\",145,5531,910,\"[\"\"#bar\"\", \"\"#cut\"\"]\",instagram,POST-29156504,2026-01-07T13:51:26.679633,9e44d498-dfe3-4171-a438-6baec2ea2fe6,kelly61\r\n\"Chance design future apply space stand. Piece get up budget sure environment paper.\nHear manager art\",309,63,974,\"[\"\"#represent\"\", \"\"#concern\"\"]\",twitter,POST-89836963,2026-01-07T13:51:26.679972,c3a6156e-fecb-48d6-bb23-0aac8213dada,sellison\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-6885629\"\nprescriber = \"John Cook\"\ndate = \"2026-01-02\"\npatient_mrn = \"MRN-741538\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Guy generation provide economy test bit. Page cost and.\nArm test ok green. Likely card reality schoo\",,2026-01-06,22,,,,PROD-108019,4,REV-8549692,,,,,Development know write believe teacher ability.,a4c4fbe3-7a0e-49f5-b14b-2ab1ca2d6ed5,True\r\nclothing,,USD,,,True,Polarized user-facing architecture,414.88,PROD-678583,4.52,,226,47x93x39cm,3.38,297,,,\r\nelectronics,,USD,,,True,Customer-focused object-oriented forecast,120.22,PROD-271762,4.99,,555,83x89x17cm,28.94,608,,,\r\nclothing,,USD,,,True,Switchable leadingedge intranet,618.55,PROD-615699,1.28,,86,74x74x55cm,20.88,549,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nRVR286,CRS-4164,3,40,30,30,Shannon Miller,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"stuff\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"professional\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"hard\"\"}, \",Fall 2023,Team-oriented incremental info-mediaries 101\r\nSFZ181,CRS-2568,3,40,30,30,Susan Morgan,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"government\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"certain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"consider\",Fall 2024,Quality-focused user-facing migration 101\r\nEUK344,CRS-5941,4,40,30,30,Connie Williams,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"some\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"site\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"list\"\"}, {\"\"week\"\": \",Spring 2023,Fundamental human-resource throughput 101\r\nGSN319,CRS-4019,3,40,30,30,Melissa Neal,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"nice\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"however\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"field\"\"}, {\"\"wee\",Spring 2021,Switchable clear-thinking solution 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Reactive exuding frame API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</second>\n<get>\n<summary>Life century work throughout however miss another.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//second>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Reactive exuding frame API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/second\": {\n      \"get\": {\n        \"summary\": \"Life century work throughout however miss another.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Serious degree upon late.\nPainting throughout direction indicate night. Political business voice str\",24,6808,9,\"[\"\"#easy\"\", \"\"#miss\"\"]\",instagram,POST-46905875,2026-01-07T13:51:26.735117,2079b341-d50b-4860-ba15-aa28bbe0f5b3,xhernandez\r\nLearn like establish certain turn about gun. Sort order focus fact customer. Exist red past could ho,418,7288,502,\"[\"\"#put\"\", \"\"#message\"\", \"\"#character\"\", \"\"#front\"\"]\",instagram,POST-68293530,2026-01-07T13:51:26.736476,e6b28473-38f7-465a-881a-c079be7c8984,jennasoto\r\nWhose fly anyone great clearly age sea. Sell film identify bill public improve example.,184,6340,507,\"[\"\"#young\"\", \"\"#him\"\"]\",instagram,POST-97674049,2026-01-07T13:51:26.736877,96807a0a-9c9a-41e6-8920-68a6381b252f,rasmussenjasmine\r\n\"Future doctor note though choice recognize Mr. Hundred himself during entire world north big.\nTotal \",0,8200,805,\"[\"\"#bring\"\", \"\"#foreign\"\", \"\"#seven\"\", \"\"#kitchen\"\"]\",twitter,POST-18467112,2026-01-07T13:51:26.737178,a63f95a3-f080-4617-841b-83d6c917f3eb,tgomez\r\nWeight capital data toward arm two break. Order enough magazine father simple as.,352,7200,221,\"[\"\"#as\"\", \"\"#within\"\", \"\"#human\"\", \"\"#create\"\"]\",instagram,POST-47720347,2026-01-07T13:51:26.737502,0b1357b5-c7d3-4201-bf58-2b5b36fccb87,wmora\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-852879\nstudent_id: STU-517758\ncourse_id: CRS-9070\ntype: exam\ndate: '2026-01-04'\nscores:\n- question: 1\n  points_earned: 4\n  points_possible: 10\n- question: 2\n  points_earned: 10\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 4\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 10\n  points_possible: 10\n- question: 9\n  points_earned: 7\n  points_possible: 10\n- question: 10\n  points_earned: 9\n  points_possible: 10\n- question: 11\n  points_earned: 6\n  points_possible: 10\n- question: 12\n  points_earned: 8\n  points_possible: 10\ntotal_score: 58\npercentage: 53.23\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8547948\"\npatient_mrn = \"MRN-375584\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"WBC\"\nvalue = 136.4\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 110.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 77.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 164.2\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 53.3\nunit = \"g/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"result_id\": \"LAB-8547948\",\n  \"patient_mrn\": \"MRN-375584\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 136.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 110.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 77.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 164.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 53.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-8547948</result_id>\n<patient_mrn>MRN-375584</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>136.4</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>110.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>77.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>164.2</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>53.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-1129442\npatient:\n  mrn: MRN-895859\n  age: 79\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: headache\nvitals:\n  bp: 127/81\n  hr: 117\n  temp_f: 102.4\nassessment:\n- problem: hypertension\n  icd10: J46\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2316482, \"\"growth\"\": -1.07}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 3744469, \",,,,,December 2023,,,,,\"[{\"\"sku\"\": \"\"SKU-4601\"\", \"\"sales\"\": 454934}, {\"\"sku\"\": \"\"SKU-9892\"\", \"\"sales\"\": 55264}, {\"\"sku\"\": \"\"SKU-8319\"\", \"\"sal\",5338205,90572\r\nNecessary ground him entire behind thing spend. Decide there against general newspaper popular. Soci,\"[{\"\"name\"\": \"\"Michael Schmidt\"\", \"\"affiliation\"\": \"\"Saunders, Lopez and Todd\"\", \"\"email\"\": \"\"wthompson@example.\",,248,Powers-Bird,\"[\"\"drive\"\", \"\"stand\"\", \"\"white\"\"]\",arXiv:2023.61228,,10.6053/oPeS,Nature,2023,Enhanced 24/7 knowledgebase,,,\r\n\"Result several give will court.\nSeason today level its. Window soon already myself.\",\"[{\"\"name\"\": \"\"Bridget Fisher\"\", \"\"affiliation\"\": \"\"Cole-Gibson\"\", \"\"email\"\": \"\"jessica24@example.com\"\"}, {\"\"name\"\"\",,276,\"Chapman, Smith and Sanchez\",\"[\"\"move\"\", \"\"full\"\", \"\"game\"\", \"\"challenge\"\"]\",arXiv:2020.27018,,10.1331/ipgf,Cell,2022,Reactive bandwidth-monitored software,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 2007174\nunits_sold: 24558\nchannels:\n- name: online\n  revenue: 235807\n  growth: 46.03\n- name: wholesale\n  revenue: 4419318\n  growth: 24.35\ntop_products:\n- sku: SKU-6554\n  sales: 258652\n- sku: SKU-8652\n  sales: 200091\n- sku: SKU-9581\n  sales: 65110\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-624670\nstudent_id: STU-934013\ncourse_id: CRS-7089\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 10\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 4\n  points_possible: 10\n- question: 4\n  points_earned: 4\n  points_possible: 10\n- question: 5\n  points_earned: 10\n  points_possible: 10\n- question: 6\n  points_earned: 4\n  points_possible: 10\n- question: 7\n  points_earned: 6\n  points_possible: 10\ntotal_score: 71\npercentage: 89.45\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<vitals>\n<bp>97/107</bp>\n<hr>107</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<patient>\n<mrn>MRN-705297</mrn>\n<age>67</age>\n<gender>F</gender>\n</patient>\n<chief_complaint>chest pain</chief_complaint>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K41</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J91</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J64</icd10>\n</assessment>\n<note_id>CN-6154695</note_id>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nchief_complaint = \"chest pain\"\nnote_id = \"CN-6154695\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K41\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J91\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J64\"\n\n[vitals]\nbp = \"97/107\"\nhr = 107\ntemp_f = 99.6\n\n[patient]\nmrn = \"MRN-705297\"\nage = 67\ngender = \"F\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.31964\ntitle: Optimized solution-oriented success\nauthors:\n- name: Meagan Sutton\n  affiliation: Williamson, Mitchell and Smith\n  email: davilabridget@example.com\n- name: William Gross\n  affiliation: Miller and Sons\n  email: linda03@example.net\nabstract: Price while never. Night great must well remain. Share less reveal often.\nkeywords:\n- less\n- radio\n- spend\n- which\npublication:\n  venue: Science\n  year: 2023\n  doi: 10.4651/vEqE\ncitations: 155\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-93814090\"\nplatform = \"facebook\"\nuser_id = \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\"\nusername = \"tonyaguzman\"\ncontent = \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\"\ntimestamp = \"2026-01-07T13:51:26.454281\"\nhashtags = [ \"#plan\", \"#area\", \"#foreign\",]\n\n[engagement]\nlikes = 5322\nshares = 327\ncomments = 152\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-926700</contract_id>\n<parties>\n<name>Kelly-Jackson</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Ramos, Hampton and Hartman</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-04</effective_date>\n<term_months>36</term_months>\n<value>178791</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-926700\",\n  \"parties\": [\n    {\n      \"name\": \"Kelly-Jackson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Ramos, Hampton and Hartman\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 36,\n  \"value\": 178791,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-883806\",\n  \"title\": \"Effect of there on wife\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 200,\n    \"duration_days\": 32\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 15.64,\n      \"endpoint\": 83.3,\n      \"p_value\": 0.4248\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 36.36,\n      \"endpoint\": 63.05,\n      \"p_value\": 0.0775\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.87629</paper_id>\n<title>Decentralized zero tolerance knowledgebase</title>\n<authors>\n<name>Jonathan Murphy</name>\n<affiliation>Long and Sons</affiliation>\n<email>loconnell@example.org</email>\n</authors>\n<authors>\n<name>Patrick Skinner</name>\n<affiliation>Williams and Sons</affiliation>\n<email>chentimothy@example.org</email>\n</authors>\n<authors>\n<name>Todd Smith</name>\n<affiliation>Lewis LLC</affiliation>\n<email>nedwards@example.org</email>\n</authors>\n<abstract>System many view vote. Into challenge wind result new good.</abstract>\n<keywords>modern</keywords>\n<keywords>over</keywords>\n<keywords>during</keywords>\n<keywords>affect</keywords>\n<keywords>sport</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.5354/mlMa</doi>\n</publication>\n<citations>187</citations>\n<funding_source>Fischer and Sons</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.87629\",\n  \"title\": \"Decentralized zero tolerance knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Jonathan Murphy\",\n      \"affiliation\": \"Long and Sons\",\n      \"email\": \"loconnell@example.org\"\n    },\n    {\n      \"name\": \"Patrick Skinner\",\n      \"affiliation\": \"Williams and Sons\",\n      \"email\": \"chentimothy@example.org\"\n    },\n    {\n      \"name\": \"Todd Smith\",\n      \"affiliation\": \"Lewis LLC\",\n      \"email\": \"nedwards@example.org\"\n    }\n  ],\n  \"abstract\": \"System many view vote. Into challenge wind result new good.\",\n  \"keywords\": [\n    \"modern\",\n    \"over\",\n    \"during\",\n    \"affect\",\n    \"sport\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.5354/mlMa\"\n  },\n  \"citations\": 187,\n  \"funding_source\": \"Fischer and Sons\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4441974</note_id>\n<patient>\n<mrn>MRN-925906</mrn>\n<age>60</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>154/95</bp>\n<hr>108</hr>\n<temp_f>97.8</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I21</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K16</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4441974\",\n  \"patient\": {\n    \"mrn\": \"MRN-925906\",\n    \"age\": 60,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"154/95\",\n    \"hr\": 108,\n    \"temp_f\": 97.8\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I21\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K16\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,content,funding_source,headline,keywords,paper_id,publication_doi,publication_venue,publication_year,shares,tags,title,views\r\n,,,\"Couple and teacher radio compare consumer. Pass thing much rather light.\nFoot four country subject f\",,Re-engineered composite Local Area Network,,,,,,213,\"[\"\"couple\"\", \"\"this\"\", \"\"themselves\"\", \"\"whom\"\"]\",,92789\r\nSeem available window there she despite station. Activity team any thousand culture full. Owner woul,\"[{\"\"name\"\": \"\"Alexis Levy\"\", \"\"affiliation\"\": \"\"Thomas, Chaney and Adkins\"\", \"\"email\"\": \"\"igarcia@example.net\"\"}\",48,,None,,\"[\"\"ask\"\", \"\"since\"\", \"\"white\"\", \"\"traditional\"\", \"\"such\"\"]\",arXiv:2024.94890,10.1389/Zmko,Science,2024,,,Open-architected mobile approach,\r\nMaterial billion marriage. While me front environmental.,\"[{\"\"name\"\": \"\"Mitchell Taylor\"\", \"\"affiliation\"\": \"\"Wright-Davis\"\", \"\"email\"\": \"\"fzhang@example.net\"\"}, {\"\"name\"\":\",444,,Fisher-Ho,,\"[\"\"enter\"\", \"\"cause\"\", \"\"control\"\", \"\"study\"\"]\",arXiv:2021.59252,10.9346/ldOs,Cell,2023,,,Multi-layered radical database,\r\nBuy suggest bit ready mission which. Meet analysis clearly safe rest who. Baby full throw remember s,\"[{\"\"name\"\": \"\"Mrs. Tina Nguyen\"\", \"\"affiliation\"\": \"\"Johnston Inc\"\", \"\"email\"\": \"\"jeromediaz@example.com\"\"}, {\"\"n\",338,,Decker and Sons,,\"[\"\"seem\"\", \"\"behind\"\", \"\"option\"\", \"\"place\"\", \"\"at\"\"]\",arXiv:2021.92182,10.4586/Rdel,Nature,2023,,,Persevering value-added solution,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-299234\"\neffective_date = \"2026-01-06\"\nterm_months = 46\nvalue = 506357\nstatus = \"pending\"\n[[parties]]\nname = \"Murphy, Hawkins and Mckenzie\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Collins-Miller\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Synchronized holistic archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/policy\": {\n      \"get\": {\n        \"summary\": \"Red reason present loss yeah run.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Synchronized holistic archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</policy>\n<get>\n<summary>Red reason present loss yeah run.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//policy>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,currency,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,specs_dimensions,specs_weight_kg,stock,title\r\n,,,USD,,,,,,,4.54,61x86x65cm,34.7,843,\r\nMeeting popular something research officer. Officer prove dark pull sit significant. Suffer special ,\"[{\"\"name\"\": \"\"Laura Bennett\"\", \"\"affiliation\"\": \"\"Powell Ltd\"\", \"\"email\"\": \"\"dmurillo@example.net\"\"}, {\"\"name\"\": \"\"\",227,,None,\"[\"\"authority\"\", \"\"apply\"\", \"\"note\"\"]\",arXiv:2021.11729,10.7787/cniH,Science,2021,,,,,Organic contextually-based policy\r\n\"Soldier hot in play road economy democratic.\nGive group off suddenly mission. Understand care attack\",\"[{\"\"name\"\": \"\"Willie Romero\"\", \"\"affiliation\"\": \"\"Smith, Mccann and Patel\"\", \"\"email\"\": \"\"bryantsamantha@exampl\",257,,None,\"[\"\"determine\"\", \"\"enter\"\", \"\"have\"\", \"\"push\"\", \"\"oil\"\"]\",arXiv:2023.13528,10.3796/yQTO,Nature,2023,,,,,Synergistic clear-thinking strategy\r\nDemocratic couple lot responsibility tree.,\"[{\"\"name\"\": \"\"Alexis Lane\"\", \"\"affiliation\"\": \"\"Weeks-Schultz\"\", \"\"email\"\": \"\"wilsonmark@example.org\"\"}, {\"\"name\"\"\",403,,Knox-Diaz,\"[\"\"customer\"\", \"\"would\"\", \"\"high\"\", \"\"learn\"\", \"\"professional\"\"]\",arXiv:2021.34669,10.4085/adaM,Science,2023,,,,,Universal holistic core\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate api specification data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/reveal_get_parameters,paths_/reveal_get_responses_200_description,paths_/reveal_get_responses_400_description,paths_/reveal_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Implemented leadingedge groupware API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Parent dark five.,,,,\r\nAcross family start music help. Great thing he building time such. Hope really memory.,\"[{\"\"name\"\": \"\"Tyler Jackson\"\", \"\"affiliation\"\": \"\"Cooper-Gentry\"\", \"\"email\"\": \"\"cartersarah@example.org\"\"}, {\"\"na\",144,None,,,\"[\"\"artist\"\", \"\"entire\"\", \"\"anything\"\", \"\"explain\"\", \"\"race\"\"]\",,arXiv:2024.74875,,,,,10.2173/Eqbh,Nature,2024,Assimilated 24/7 workforce\r\nOption sport participant direction. Easy book out east should realize consumer base.,\"[{\"\"name\"\": \"\"Christopher Shelton\"\", \"\"affiliation\"\": \"\"Brown, Baker and Ramos\"\", \"\"email\"\": \"\"wmercado@example\",47,Cole-Irwin,,,\"[\"\"within\"\", \"\"several\"\", \"\"military\"\", \"\"garden\"\"]\",,arXiv:2021.55682,,,,,10.7490/Jfef,Science,2024,Reverse-engineered content-based challenge\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Re-engineered mobile superstructure API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</benefit>\n<get>\n<summary>Chair media space recognize doctor would second me</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//benefit>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Re-engineered mobile superstructure API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/benefit\": {\n      \"get\": {\n        \"summary\": \"Chair media space recognize doctor would second me\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-3022361\",\n  \"patient_mrn\": \"MRN-726192\",\n  \"prescriber\": \"Jessica Warner\",\n  \"date\": \"2026-01-02\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/sense\": {\n      \"get\": {\n        \"summary\": \"Pay yes agree executive year ahead program.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Customer-focused zero-defect array API\",\n    \"version\": \"1.0.0\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-8188721\"\npatient_mrn = \"MRN-396621\"\nprescriber = \"Nicholas Armstrong\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"How often should.\nSenior college half. Push scientist better save. Sing few compare pressure she exa\",,2026-01-05,50,,,,PROD-986026,1,REV-7066881,,,,,Within certainly interesting discuss sometimes sho,00e6332f-394c-45b1-8526-32f0830523b7,True\r\nbooks,,USD,,,True,Cloned upward-trending project,269.12,PROD-939411,3.77,,446,85x47x75cm,22.7,175,,,\r\nbooks,,USD,,,True,User-friendly 6thgeneration parallelism,719.97,PROD-563871,1.77,,588,12x62x14cm,46.06,25,,,\r\nclothing,,USD,,,True,Exclusive systemic functionalities,103.63,PROD-730289,1.44,,376,90x97x34cm,36.22,40,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,items,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,timestamp,title\r\n,,,e8f33eae-8d14-40de-9e0e-24f591ec9d8d,,\"[{\"\"sku\"\": \"\"SKU-87262\"\", \"\"qty\"\": 1, \"\"price\"\": 465.8}]\",,,credit_card,,,,2026-01-06T09:43:31.873487,\r\n\"Stay miss family it data. Surface mention month painting detail rate.\nThing evening final computer. \",\"[{\"\"name\"\": \"\"Rebecca Fox\"\", \"\"affiliation\"\": \"\"Soto, Allen and Wall\"\", \"\"email\"\": \"\"wilsonteresa@example.org\"\"}\",422,,None,,\"[\"\"amount\"\", \"\"wait\"\", \"\"floor\"\"]\",arXiv:2024.37917,,10.3027/EIlR,Science,2022,,Inverse coherent Internet solution\r\nHelp example history heavy her billion. Manager wall everybody much he. Church you car play we.,\"[{\"\"name\"\": \"\"David Cook\"\", \"\"affiliation\"\": \"\"Bridges-Horn\"\", \"\"email\"\": \"\"alexa45@example.org\"\"}, {\"\"name\"\": \"\"Br\",106,,None,,\"[\"\"yes\"\", \"\"wear\"\", \"\"visit\"\"]\",arXiv:2022.75495,,10.4143/jaiq,Nature,2024,,Enhanced responsive migration\r\nPm itself send leave project itself. Poor add trouble recently provide hit approach. Cost PM seven e,\"[{\"\"name\"\": \"\"Jeffrey Gould\"\", \"\"affiliation\"\": \"\"Martinez, Liu and Martinez\"\", \"\"email\"\": \"\"garzajessica@examp\",171,,None,,\"[\"\"thing\"\", \"\"writer\"\", \"\"himself\"\", \"\"enjoy\"\", \"\"focus\"\"]\",arXiv:2024.64405,,10.1041/fpDA,Science,2020,,Reverse-engineered bi-directional attitude\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output error log as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"e78ff1cc-d984-499d-9fcf-126ccada9355\"\ntimestamp = \"2026-01-07T13:51:26.607679\"\nlevel = \"WARNING\"\nservice = \"generationService\"\nmessage = \"Bag difference growth have leader yeah him.\"\nstack_trace = [ \"at teach.py:30\", \"at poor.py:409\",]\n\n[context]\nuser_id = \"e8daac99-0bad-4fb0-ae26-78525528db85\"\nrequest_id = \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1990822\nheadline: Right-sized solution-oriented open system\nauthor: Dorothy Hart\npublished: '2026-01-04T02:13:16.691724'\nsection: Politics\ncontent: 'Within have collection little huge several seek. Fly clear indeed clear.\n\n  Role available probably adult know company system.\n\n  Piece some poor hot night writer seven. Reality right attorney thought. Within next\n  loss result customer seven.\n\n  The first require lose police. Project letter listen baby.'\ntags:\n- opportunity\n- prove\n- spring\n- cut\nviews: 95500\nshares: 4621\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-533467\"\ntitle = \"Effect of nothing on move\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 15.4\nendpoint = 65.75\np_value = 0.0207\n\n[[results]]\nmetric = \"safety\"\nbaseline = 20.29\nendpoint = 98.18\np_value = 0.0159\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 19.63\nendpoint = 73.93\np_value = 0.358\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 131\nduration_days = 116\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate contract data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-818113\nparties:\n- name: Lambert-Farmer\n  role: party_a\n- name: Avery, Vance and Brown\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 39\nvalue: 532794\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,term,title,total_score\r\n,CRS-4089,,,,,,78.32,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 0, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 4, \"\"po\",,,97\r\nYGF139,CRS-9177,4,40,30,30,Deborah Reid,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"head\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"really\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"tend\"\"}, {\"\"week\"\"\",,Spring 2023,Triple-buffered multi-tasking algorithm 101,\r\nVBD303,CRS-5538,3,40,30,30,Ashley Taylor,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"career\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"represent\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"future\"\"}, \",,Fall 2021,Operative logistical knowledgebase 101,\r\nAHN155,CRS-6045,3,40,30,30,Daniel Young,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"property\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"vote\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"near\"\"}, {\"\"wee\",,Fall 2021,Balanced client-driven adapter 101,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-5754690\",\n  \"patient\": {\n    \"mrn\": \"MRN-521303\",\n    \"age\": 32,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"101/104\",\n    \"hr\": 85,\n    \"temp_f\": 99.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K80\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5754690</note_id>\n<patient>\n<mrn>MRN-521303</mrn>\n<age>32</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>101/104</bp>\n<hr>85</hr>\n<temp_f>99.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K80</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-49469407\nplatform: instagram\nuser_id: c776cd7c-2538-4c81-83c8-03afd724bed1\nusername: donald18\ncontent: Knowledge between friend wife property kid out. Trouble recent member sort\n  arrive foot space good.\ntimestamp: '2026-01-07T13:51:26.031233'\nhashtags:\n- '#daughter'\n- '#after'\n- '#affect'\n- '#goal'\nengagement:\n  likes: 2564\n  shares: 187\n  comments: 95\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7357\"\ncode = \"CBM121\"\ntitle = \"Synchronized disintermediate customer loyalty 101\"\ninstructor = \"Karina Bradford\"\ncredits = 4\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"those\"\n\n[[schedule]]\nweek = 2\ntopic = \"impact\"\n\n[[schedule]]\nweek = 3\ntopic = \"operation\"\n\n[[schedule]]\nweek = 4\ntopic = \"read\"\n\n[[schedule]]\nweek = 5\ntopic = \"herself\"\n\n[[schedule]]\nweek = 6\ntopic = \"there\"\n\n[[schedule]]\nweek = 7\ntopic = \"growth\"\n\n[[schedule]]\nweek = 8\ntopic = \"strategy\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CBC,MRN-357903,LAB-5790382,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 56.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-01,CBC,MRN-122641,LAB-3615713,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 67.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-05,CMP,MRN-382292,LAB-7044015,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 57.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 162\"\r\n2026-01-05,CMP,MRN-248964,LAB-9974854,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 164.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.21424\"\ntitle = \"Cross-platform fault-tolerant circuit\"\nabstract = \"Truth himself long country car environment. Free design relate hope admit learn identify.\"\nkeywords = [ \"share\", \"feeling\", \"environmental\",]\ncitations = 477\nfunding_source = \"Barker-Wise\"\n[[authors]]\nname = \"Charlotte Sellers\"\naffiliation = \"Armstrong-Marks\"\nemail = \"weaverelizabeth@example.com\"\n\n[[authors]]\nname = \"Cynthia Johnston MD\"\naffiliation = \"Rogers Inc\"\nemail = \"ccastaneda@example.org\"\n\n[[authors]]\nname = \"Robert Velasquez\"\naffiliation = \"Alvarado LLC\"\nemail = \"psullivan@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.6091/Sfwn\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate error log data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,4c579c9e-314d-44f6-9e5a-9c3c95ea5e82,264dfcb4-39aa-45b1-999f-d115795470f4,385c5830-2f90-42e3-ae2f-53faace4448a,,,CRITICAL,People party agreement mother that investment approach.,,,,,almostService,\"[\"\"at fight.py:491\"\", \"\"at city.py:369\"\", \"\"at statement.py:378\"\"]\",2026-01-07T13:51:26.292009,\r\nDemocratic age whom its situation. That central bank none her. Produce lose member thousand.,\"[{\"\"name\"\": \"\"Donna Keller\"\", \"\"affiliation\"\": \"\"Greer, Ramirez and Carter\"\", \"\"email\"\": \"\"michelle76@example.n\",72,,,,Beard-Roy,\"[\"\"if\"\", \"\"magazine\"\", \"\"health\"\"]\",,,arXiv:2022.49845,10.7432/PqzG,Nature,2020,,,,Profound logistical customer loyalty\r\nCharacter interesting morning finish sense. Consider camera these risk. Memory others evidence relat,\"[{\"\"name\"\": \"\"Robert Wilkinson\"\", \"\"affiliation\"\": \"\"Santos, Clark and Patel\"\", \"\"email\"\": \"\"samuelbell@example\",189,,,,Barnes LLC,\"[\"\"skin\"\", \"\"positive\"\", \"\"fight\"\", \"\"sister\"\", \"\"decide\"\"]\",,,arXiv:2022.79149,10.4023/PYtJ,Science,2023,,,,Customizable mission-critical middleware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-972429,Matthew Bennett,RX-3472120\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-890041,Mr. Mark King,RX-2242464\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-840995,Susan Oneill,RX-6955336\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-252329,Michele Hines,RX-7123019\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,a05e806a-f592-4611-8d80-dbe2773bec40,162209b9-e3ae-4c7a-af39-f96af44cdcaa,8ef553f5-74fa-47eb-bfcb-571b6fa73c35,,,WARNING,Professional pull soon.,,,,,radioService,\"[\"\"at eye.py:220\"\", \"\"at short.py:148\"\", \"\"at the.py:448\"\"]\",2026-01-07T13:51:27.105544,\r\nSister anyone want family she present fund laugh. This its suddenly fear. Ready us argue body.,\"[{\"\"name\"\": \"\"Stacy Weaver\"\", \"\"affiliation\"\": \"\"Torres-Johnson\"\", \"\"email\"\": \"\"vnelson@example.com\"\"}, {\"\"name\"\":\",305,,,,Williams Inc,\"[\"\"brother\"\", \"\"item\"\", \"\"record\"\"]\",,,arXiv:2021.81740,10.5245/MfqF,Science,2022,,,,Open-architected systematic Graphic Interface\r\nEnter herself defense consider. Finish yes matter action management. Fish plant remain radio wear th,\"[{\"\"name\"\": \"\"Tammy Anthony\"\", \"\"affiliation\"\": \"\"Summers-Bright\"\", \"\"email\"\": \"\"amanda26@example.net\"\"}, {\"\"name\",411,,,,None,\"[\"\"population\"\", \"\"report\"\", \"\"someone\"\", \"\"color\"\", \"\"value\"\"]\",,,arXiv:2022.23294,10.8940/PGcG,Cell,2022,,,,Realigned leadingedge knowledge user\r\nRather across leave owner.,\"[{\"\"name\"\": \"\"Jeanne Banks\"\", \"\"affiliation\"\": \"\"Scott-Padilla\"\", \"\"email\"\": \"\"nhanson@example.net\"\"}, {\"\"name\"\": \",328,,,,None,\"[\"\"president\"\", \"\"future\"\", \"\"cut\"\"]\",,,arXiv:2020.69254,10.5444/KjKz,Nature,2021,,,,Stand-alone 24/7 functionalities\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate error log data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"2d978d26-6fd7-4641-b202-43ebc0760711\",\n  \"timestamp\": \"2026-01-07T13:51:26.663970\",\n  \"level\": \"WARNING\",\n  \"service\": \"someoneService\",\n  \"message\": \"Inside live none value unit Republican black.\",\n  \"stack_trace\": [\n    \"at role.py:276\",\n    \"at loss.py:371\"\n  ],\n  \"context\": {\n    \"user_id\": \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\",\n    \"request_id\": \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-107775,2026-01-05,\"[{\"\"name\"\": \"\"Stuart Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kim Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,20,290266\r\nCTR-875051,2026-01-01,\"[{\"\"name\"\": \"\"Benson Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jones, Ramirez and Nguyen\"\", \"\"role\"\": \"\"party_b\"\"}\",pending,44,664874\r\nCTR-608887,2026-01-01,\"[{\"\"name\"\": \"\"Mccoy-Lee\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carter-Anderson\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,13,517675\r\nCTR-351044,2026-01-01,\"[{\"\"name\"\": \"\"Lopez-Martinez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Zimmerman-Sampson\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,57,171368\r\nCTR-778043,2026-01-02,\"[{\"\"name\"\": \"\"Lopez Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Bradley-Molina\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,32,422832\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-2650245\",\n  \"headline\": \"Enhanced multimedia hub\",\n  \"author\": \"Jennifer Davis\",\n  \"published\": \"2026-01-02T17:44:08.333575\",\n  \"section\": \"Tech\",\n  \"content\": \"Late situation both data share market. These foot health box.\\nPay me together western ever story cup. Game production million happy reveal. Attorney bill shake crime eat finally drive.\\nChoice four concern cold test. Road executive policy official season increase.\",\n  \"tags\": [\n    \"future\",\n    \"here\",\n    \"new\"\n  ],\n  \"views\": 46115,\n  \"shares\": 2819\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2650245</article_id>\n<headline>Enhanced multimedia hub</headline>\n<author>Jennifer Davis</author>\n<published>2026-01-02T17:44:08.333575</published>\n<section>Tech</section>\n<content>Late situation both data share market. These foot health box.\nPay me together western ever story cup. Game production million happy reveal. Attorney bill shake crime eat finally drive.\nChoice four concern cold test. Road executive policy official season increase.</content>\n<tags>future</tags>\n<tags>here</tags>\n<tags>new</tags>\n<views>46115</views>\n<shares>2819</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nerror_id = \"92d36993-19b1-4c19-9b64-8b4669c6636f\"\ntimestamp = \"2026-01-07T13:51:27.222487\"\nlevel = \"WARNING\"\nservice = \"voiceService\"\nmessage = \"Analysis beautiful attack blue eye.\"\nstack_trace = [ \"at well.py:163\", \"at will.py:421\", \"at run.py:384\", \"at TV.py:103\",]\n\n[context]\nuser_id = \"c92bcb8f-c109-47f8-aa13-b43737a1fc38\"\nrequest_id = \"f4cb6737-30c9-41ef-814b-34c3ec971deb\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 92d36993-19b1-4c19-9b64-8b4669c6636f\ntimestamp: '2026-01-07T13:51:27.222487'\nlevel: WARNING\nservice: voiceService\nmessage: Analysis beautiful attack blue eye.\nstack_trace:\n- at well.py:163\n- at will.py:421\n- at run.py:384\n- at TV.py:103\ncontext:\n  user_id: c92bcb8f-c109-47f8-aa13-b43737a1fc38\n  request_id: f4cb6737-30c9-41ef-814b-34c3ec971deb\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-107958\nname: Adaptive asynchronous synergy\ncategory: electronics\nprice: 349.45\ncurrency: USD\nstock: 717\nis_available: true\nrating: 1.62\nreviews: 33\nspecs:\n  weight_kg: 15.32\n  dimensions: 74x31x68cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-946690\",\n  \"student_id\": \"STU-268675\",\n  \"course_id\": \"CRS-1216\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 81,\n  \"percentage\": 50.49,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-4067367,Kristin Larson,\"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\n\",Polarized human-resource adapter,2026-01-07T00:05:34.405255,Business,3986,\"[\"\"program\"\", \"\"final\"\", \"\"computer\"\", \"\"live\"\"]\",74807\r\nART-6110292,Amber Yu,Seem letter Republican onto game agree industry. Food ask unit they situation pay student. Business ,Decentralized hybrid migration,2026-01-02T19:52:11.838709,Tech,2541,\"[\"\"partner\"\", \"\"Republican\"\", \"\"himself\"\", \"\"debate\"\"]\",66671\r\nART-5126730,Jessica Thomas,\"Short south whole reduce foot. Power finally security today administration list man.\nLaugh bed so. W\",Sharable full-range access,2026-01-03T22:30:49.386500,Business,3603,\"[\"\"report\"\", \"\"world\"\", \"\"dream\"\", \"\"mouth\"\", \"\"ok\"\"]\",33961\r\nART-8883929,Darlene Taylor,\"Court perform right later eat history. Rise me detail decade son dog. Role gas base college her.\nMis\",Upgradable secondary knowledge user,2026-01-07T04:02:20.823848,Business,3621,\"[\"\"professor\"\", \"\"prevent\"\", \"\"address\"\", \"\"less\"\"]\",58233\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9955595\"\npatient_mrn = \"MRN-741098\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 97.0\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 149.4\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 51.8\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 195.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 183.7\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 189.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 101.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"January 2024\",\n  \"total_revenue\": 3091656,\n  \"units_sold\": 63856,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2739604,\n      \"growth\": -0.52\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 247982,\n      \"growth\": 14.46\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7268\",\n      \"sales\": 409348\n    },\n    {\n      \"sku\": \"SKU-4030\",\n      \"sales\": 70087\n    },\n    {\n      \"sku\": \"SKU-4380\",\n      \"sales\": 298376\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2024</period>\n<total_revenue>3091656</total_revenue>\n<units_sold>63856</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2739604</revenue>\n<growth>-0.52</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>247982</revenue>\n<growth>14.46</growth>\n</channels>\n<top_products>\n<sku>SKU-7268</sku>\n<sales>409348</sales>\n</top_products>\n<top_products>\n<sku>SKU-4030</sku>\n<sales>70087</sales>\n</top_products>\n<top_products>\n<sku>SKU-4380</sku>\n<sales>298376</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-76523958\ncustomer_id: a4dfcf89-9a9a-4a39-9523-3d9ee6b05068\ntimestamp: '2026-01-06T09:43:31.014749'\nitems:\n- sku: SKU-43231\n  qty: 3\n  price: 238.11\nsubtotal: 1087.49\ntax: 58.08\ntotal: 1116.53\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Business-focused zero administration encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</teach>\n<get>\n<summary>Government trade direction personal reason hundred</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//teach>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2022</period>\n<total_revenue>7456708</total_revenue>\n<units_sold>82349</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3622404</revenue>\n<growth>-8.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1893923</revenue>\n<growth>2.21</growth>\n</channels>\n<top_products>\n<sku>SKU-2073</sku>\n<sales>98550</sales>\n</top_products>\n<top_products>\n<sku>SKU-3707</sku>\n<sales>233488</sales>\n</top_products>\n<top_products>\n<sku>SKU-7843</sku>\n<sales>172526</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 534039,\n  \"units_sold\": 34851,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 707158,\n      \"growth\": 43.16\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2548868,\n      \"growth\": 26.24\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6020\",\n      \"sales\": 18280\n    },\n    {\n      \"sku\": \"SKU-3349\",\n      \"sales\": 458703\n    },\n    {\n      \"sku\": \"SKU-8781\",\n      \"sales\": 265385\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\",\n  \"timestamp\": \"2026-01-07T13:51:27.797574\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"letService\",\n  \"message\": \"Story quite another important.\",\n  \"stack_trace\": [\n    \"at decision.py:100\",\n    \"at sing.py:289\",\n    \"at long.py:325\",\n    \"at special.py:174\"\n  ],\n  \"context\": {\n    \"user_id\": \"8c36ba55-183c-4481-9cd9-dc049447888c\",\n    \"request_id\": \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Cloned multi-state conglomeration API\n  version: 1.0.0\npaths:\n  /thought:\n    get:\n      summary: Structure play summer activity.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"By remember reason rate. Coach listen fact practice great end as.\nCouple back choice city. Property \",140,3676,73,\"[\"\"#reason\"\", \"\"#focus\"\"]\",facebook,POST-75290319,2026-01-06T09:43:32.959565,2442d35a-6266-4693-b42c-db20e1dea1fe,ronald95\r\n\"Actually land stuff size. Question until behind really stage speak. Boy small rate stage.\nDream focu\",446,132,946,\"[\"\"#sense\"\", \"\"#statement\"\", \"\"#occur\"\", \"\"#whether\"\"]\",twitter,POST-36950326,2026-01-06T09:43:32.963279,e933b615-7ba5-484e-829e-12942a4e1a4b,riverarachael\r\nSafe big yet officer tend she. Kind time science generation wide table current. Serious feeling than,87,9078,297,\"[\"\"#page\"\", \"\"#dinner\"\"]\",twitter,POST-84832542,2026-01-06T09:43:32.965957,26ad4ccc-daa1-474a-a84c-a5a609dee590,randall39\r\n\"Enjoy idea cell task behavior tend toward. Radio cup eight tell.\nPay top collection painting. Key ni\",39,7576,457,\"[\"\"#reflect\"\", \"\"#blood\"\"]\",facebook,POST-30127827,2026-01-06T09:43:32.968116,c1cb1f69-71c0-4f15-8656-a4c4e63798d2,liuhayley\r\n\"Hit great machine color where station. Crime especially special interesting place.\nLikely center oth\",265,5445,494,\"[\"\"#identify\"\", \"\"#everyone\"\", \"\"#race\"\", \"\"#detail\"\"]\",instagram,POST-80613156,2026-01-06T09:43:32.968691,c012cd12-f71d-4ea9-b133-71650a34b08b,anthony43\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.59386\",\n  \"title\": \"Self-enabling demand-driven application\",\n  \"authors\": [\n    {\n      \"name\": \"Keith Wilcox\",\n      \"affiliation\": \"Ruiz-Torres\",\n      \"email\": \"martinstephanie@example.org\"\n    },\n    {\n      \"name\": \"Jennifer Mccoy\",\n      \"affiliation\": \"Thompson-Marshall\",\n      \"email\": \"brianvelasquez@example.org\"\n    }\n  ],\n  \"abstract\": \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\",\n  \"keywords\": [\n    \"song\",\n    \"TV\",\n    \"southern\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.1369/MikD\"\n  },\n  \"citations\": 274,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-116167,2026-01-05,\"[{\"\"name\"\": \"\"Bush, Murray and Palmer\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Melendez LLC\"\", \"\"role\"\": \"\"party_b\"\"}\",executed,57,221550\r\nCTR-556033,2026-01-05,\"[{\"\"name\"\": \"\"Greene and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Watson PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,34,609627\r\nCTR-674198,2026-01-01,\"[{\"\"name\"\": \"\"Arnold-Young\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,16,664798\r\nCTR-636382,2026-01-04,\"[{\"\"name\"\": \"\"Irwin, Williams and Gibson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Simmons Inc\"\", \"\"role\"\": \"\"party_b\",active,48,620481\r\nCTR-282700,2026-01-04,\"[{\"\"name\"\": \"\"Adams, Harris and Jones\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Wilson and Sons\"\", \"\"role\"\": \"\"party_\",active,38,175524\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-9723622\nproduct_id: PROD-853148\nuser_id: 44919496-69de-498e-922c-5ea4230c00fa\nrating: 3\ntitle: Risk tell team series house.\ncontent: Official police serve past already. Number down similar senior head amount.\n  Focus reality really hold lose.\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 99\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5490961\",\n  \"patient_mrn\": \"MRN-709917\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 146.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 73.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 166.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 98.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Streamlined logistical help-desk API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/grow\": {\n      \"get\": {\n        \"summary\": \"Will entire deep source history.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Streamlined logistical help-desk API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</grow>\n<get>\n<summary>Will entire deep source history.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//grow>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-79156891</txn_id>\n<customer_id>5450ecc9-30b8-498f-a527-04ec3de16dd8</customer_id>\n<timestamp>2026-01-07T13:51:26.258900</timestamp>\n<items>\n<sku>SKU-81880</sku>\n<qty>4</qty>\n<price>401.7</price>\n</items>\n<items>\n<sku>SKU-99718</sku>\n<qty>5</qty>\n<price>334.37</price>\n</items>\n<items>\n<sku>SKU-65882</sku>\n<qty>3</qty>\n<price>292.8</price>\n</items>\n<items>\n<sku>SKU-88201</sku>\n<qty>2</qty>\n<price>114.91</price>\n</items>\n<subtotal>258.62</subtotal>\n<tax>22.79</tax>\n<total>1713.37</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,published,section,tags,title,views\r\n,,,,,,,,,2026-01-05T17:58:55.100855,Politics,\"[\"\"machine\"\", \"\"fund\"\", \"\"station\"\", \"\"our\"\"]\",,86295\r\n\"Summer eye keep public time. Away table style investment today individual pick shoulder.\nHer quality\",\"[{\"\"name\"\": \"\"Alicia Castaneda\"\", \"\"affiliation\"\": \"\"Barton, Fletcher and Hunt\"\", \"\"email\"\": \"\"john25@example.o\",337,Johnson-Wood,\"[\"\"TV\"\", \"\"kid\"\", \"\"president\"\"]\",arXiv:2021.66689,10.9749/uHPt,Science,2022,,,,Monitored next generation implementation,\r\nExample official meeting certainly mention popular. Especially thought government civil throw simple,\"[{\"\"name\"\": \"\"Peter Young\"\", \"\"affiliation\"\": \"\"Gomez, Green and Ellis\"\", \"\"email\"\": \"\"stephanie82@example.com\"\"\",142,None,\"[\"\"ask\"\", \"\"some\"\", \"\"company\"\", \"\"eat\"\"]\",arXiv:2021.55515,10.4628/lCqb,Cell,2021,,,,Automated asymmetric circuit,\r\nFund strong consider natural risk before push. Movie conference than among history successful.,\"[{\"\"name\"\": \"\"Ann Price\"\", \"\"affiliation\"\": \"\"Wheeler-Sanders\"\", \"\"email\"\": \"\"yevans@example.org\"\"}, {\"\"name\"\": \"\"J\",492,Wallace Inc,\"[\"\"last\"\", \"\"draw\"\", \"\"even\"\", \"\"respond\"\"]\",arXiv:2021.11141,10.5191/dOoX,Science,2023,,,,Digitized real-time conglomeration,\r\nCall but to ask almost. Trouble measure myself minute.,\"[{\"\"name\"\": \"\"Michael Wright\"\", \"\"affiliation\"\": \"\"Clayton, Hayes and Hayden\"\", \"\"email\"\": \"\"omarshall@example.\",426,None,\"[\"\"store\"\", \"\"can\"\", \"\"class\"\"]\",arXiv:2024.89047,10.3938/roGa,Nature,2024,,,,Innovative fault-tolerant function,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 385c5830-2f90-42e3-ae2f-53faace4448a\ntimestamp: '2026-01-07T13:51:26.292009'\nlevel: CRITICAL\nservice: almostService\nmessage: People party agreement mother that investment approach.\nstack_trace:\n- at fight.py:491\n- at city.py:369\n- at statement.py:378\ncontext:\n  user_id: 264dfcb4-39aa-45b1-999f-d115795470f4\n  request_id: 4c579c9e-314d-44f6-9e5a-9c3c95ea5e82\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output social media post as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-46905875\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"2079b341-d50b-4860-ba15-aa28bbe0f5b3\",\n  \"username\": \"xhernandez\",\n  \"content\": \"Serious degree upon late.\\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.\",\n  \"timestamp\": \"2026-01-07T13:51:26.735117\",\n  \"hashtags\": [\n    \"#easy\",\n    \"#miss\"\n  ],\n  \"engagement\": {\n    \"likes\": 6808,\n    \"shares\": 9,\n    \"comments\": 24\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9030\ncode: GLL470\ntitle: Streamlined human-resource standardization 101\ninstructor: Christopher Wilson\ncredits: 4\nterm: Fall 2024\nschedule:\n- week: 1\n  topic: 'yes'\n- week: 2\n  topic: read\n- week: 3\n  topic: sign\n- week: 4\n  topic: week\n- week: 5\n  topic: such\n- week: 6\n  topic: man\n- week: 7\n  topic: job\n- week: 8\n  topic: argue\n- week: 9\n  topic: so\n- week: 10\n  topic: age\n- week: 11\n  topic: civil\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-879460\",\n  \"student_id\": \"STU-948921\",\n  \"course_id\": \"CRS-8763\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 83,\n  \"percentage\": 96.07,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-529942\nstudent_id: STU-519361\ncourse_id: CRS-8076\ntype: exam\ndate: '2026-01-04'\nscores:\n- question: 1\n  points_earned: 2\n  points_possible: 10\n- question: 2\n  points_earned: 5\n  points_possible: 10\n- question: 3\n  points_earned: 3\n  points_possible: 10\n- question: 4\n  points_earned: 0\n  points_possible: 10\n- question: 5\n  points_earned: 6\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\n- question: 8\n  points_earned: 9\n  points_possible: 10\ntotal_score: 90\npercentage: 85.91\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-350362,,CRS-1231,,2026-01-01,A,,,,,80.6,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-421536,,,51,exam\r\n,XCO265,CRS-6957,3,,,40,30,30,Crystal Rivers,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"begin\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"production\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"collection\",,,Fall 2020,Pre-emptive value-added application 101,,\r\n,RFX369,CRS-1237,4,,,40,30,30,Kyle Huynh,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"town\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"floor\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"side\"\"}, {\"\"week\"\":\",,,Spring 2020,Distributed value-added Local Area Network 101,,\r\n,ALT197,CRS-9340,3,,,40,30,30,Paul Hicks,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"term\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"think\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"individual\"\"}, {\"\"\",,,Spring 2020,Face-to-face transitional artificial intelligence 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-4067367</article_id>\n<headline>Polarized human-resource adapter</headline>\n<author>Kristin Larson</author>\n<published>2026-01-07T00:05:34.405255</published>\n<section>Business</section>\n<content>Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.</content>\n<tags>program</tags>\n<tags>final</tags>\n<tags>computer</tags>\n<tags>live</tags>\n<views>74807</views>\n<shares>3986</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5796495\"\npatient_mrn = \"MRN-496025\"\norder_date = \"2026-01-06\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 74.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 68.3\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 121.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 142.6\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-672485\"\nstudent_id = \"STU-183204\"\ncourse_id = \"CRS-8704\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 82\npercentage = 72.48\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.31964\",\n  \"title\": \"Optimized solution-oriented success\",\n  \"authors\": [\n    {\n      \"name\": \"Meagan Sutton\",\n      \"affiliation\": \"Williamson, Mitchell and Smith\",\n      \"email\": \"davilabridget@example.com\"\n    },\n    {\n      \"name\": \"William Gross\",\n      \"affiliation\": \"Miller and Sons\",\n      \"email\": \"linda03@example.net\"\n    }\n  ],\n  \"abstract\": \"Price while never. Night great must well remain. Share less reveal often.\",\n  \"keywords\": [\n    \"less\",\n    \"radio\",\n    \"spend\",\n    \"which\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2023,\n    \"doi\": \"10.4651/vEqE\"\n  },\n  \"citations\": 155,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2022</period>\n<total_revenue>4880286</total_revenue>\n<units_sold>74173</units_sold>\n<channels>\n<name>retail</name>\n<revenue>2000312</revenue>\n<growth>0.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3751658</revenue>\n<growth>-3.19</growth>\n</channels>\n<top_products>\n<sku>SKU-6977</sku>\n<sales>264067</sales>\n</top_products>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>443161</sales>\n</top_products>\n<top_products>\n<sku>SKU-1793</sku>\n<sales>209512</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"September 2022\",\n  \"total_revenue\": 4880286,\n  \"units_sold\": 74173,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2000312,\n      \"growth\": 0.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3751658,\n      \"growth\": -3.19\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6977\",\n      \"sales\": 264067\n    },\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 443161\n    },\n    {\n      \"sku\": \"SKU-1793\",\n      \"sales\": 209512\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Seamless disintermediate flexibility API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/significant\": {\n      \"get\": {\n        \"summary\": \"Box project skin day catch.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Seamless disintermediate flexibility API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</significant>\n<get>\n<summary>Box project skin day catch.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//significant>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output course syllabus as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,instructor,keywords,paper_id,publication_doi,publication_venue,publication_year,term,title\r\n,,,,Melissa Herrera,,,,,,Spring 2022,Robust composite attitude 101\r\n\"Several look member your mother remember style. Heart control red kind include decide mouth.\nLanguag\",\"[{\"\"name\"\": \"\"Sheila Marshall\"\", \"\"affiliation\"\": \"\"Bradford, Wilson and Dixon\"\", \"\"email\"\": \"\"travishouse@exam\",160,None,,\"[\"\"science\"\", \"\"us\"\", \"\"service\"\", \"\"use\"\"]\",arXiv:2024.41652,10.4369/uRRY,Nature,2021,,Universal multi-tasking data-warehouse\r\nOf employee though top. Under would every media. Price to case memory rich money.,\"[{\"\"name\"\": \"\"Heather Burton\"\", \"\"affiliation\"\": \"\"Miller-Cantu\"\", \"\"email\"\": \"\"drewmontgomery@example.org\"\"}, {\",304,None,,\"[\"\"industry\"\", \"\"senior\"\", \"\"floor\"\", \"\"kitchen\"\"]\",arXiv:2022.95347,10.5099/XQmF,Nature,2021,,Reduced regional neural-net\r\nNatural former material. Cost camera discuss force. That specific education surface meeting end budg,\"[{\"\"name\"\": \"\"William Turner\"\", \"\"affiliation\"\": \"\"Smith, May and Henson\"\", \"\"email\"\": \"\"david45@example.net\"\"},\",209,Huber-Jackson,,\"[\"\"benefit\"\", \"\"prepare\"\", \"\"room\"\", \"\"finally\"\"]\",arXiv:2024.43083,10.8850/bCwO,Science,2022,,Mandatory user-facing customer loyalty\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-830951\",\n  \"name\": \"Multi-layered tangible superstructure\",\n  \"category\": \"clothing\",\n  \"price\": 269.31,\n  \"currency\": \"USD\",\n  \"stock\": 322,\n  \"is_available\": true,\n  \"rating\": 2.21,\n  \"reviews\": 733,\n  \"specs\": {\n    \"weight_kg\": 46.04,\n    \"dimensions\": \"75x77x31cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-734376\",\n  \"title\": \"Effect of probably on skin\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 800,\n    \"duration_days\": 273\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.92,\n      \"endpoint\": 99.12,\n      \"p_value\": 0.3163\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.8,\n      \"endpoint\": 81.58,\n      \"p_value\": 0.1627\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 31.59,\n      \"endpoint\": 36.02,\n      \"p_value\": 0.4619\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.54,\n      \"endpoint\": 59.85,\n      \"p_value\": 0.3654\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-734376</experiment_id>\n<title>Effect of probably on skin</title>\n<methodology>\n<design>cohort</design>\n<sample_size>800</sample_size>\n<duration_days>273</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>94.92</baseline>\n<endpoint>99.12</endpoint>\n<p_value>0.3163</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.8</baseline>\n<endpoint>81.58</endpoint>\n<p_value>0.1627</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>31.59</baseline>\n<endpoint>36.02</endpoint>\n<p_value>0.4619</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>82.54</baseline>\n<endpoint>59.85</endpoint>\n<p_value>0.3654</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate lab result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4911961</result_id>\n<patient_mrn>MRN-250544</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>121.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>77.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>166.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>140.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-29576154\"\nplatform = \"instagram\"\nuser_id = \"b3774d2a-dced-4164-bd7b-7d043d7ec920\"\nusername = \"boydkaren\"\ncontent = \"Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.\"\ntimestamp = \"2026-01-07T13:51:27.160344\"\nhashtags = [ \"#involve\", \"#fact\", \"#rest\",]\n\n[engagement]\nlikes = 923\nshares = 56\ncomments = 396\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-325945</product_id>\n<name>Universal bottom-line system engine</name>\n<category>electronics</category>\n<price>225.75</price>\n<currency>USD</currency>\n<stock>955</stock>\n<is_available>True</is_available>\n<rating>3.31</rating>\n<reviews>802</reviews>\n<specs>\n<weight_kg>22.25</weight_kg>\n<dimensions>77x29x32cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,author,authors,citations,funding_source,headline,keywords,paper_id,publication_doi,publication_venue,publication_year,published,title,views\r\n,Bonnie Nelson,,,,Programmable uniform throughput,,,,,,2026-01-02T01:56:10.695646,,63819\r\nMedia tonight foreign seek available hair. Specific parent leader fish.,,\"[{\"\"name\"\": \"\"Jennifer Carlson\"\", \"\"affiliation\"\": \"\"Phelps Ltd\"\", \"\"email\"\": \"\"jonathanstewart@example.com\"\"}, \",460,None,,\"[\"\"free\"\", \"\"write\"\", \"\"partner\"\"]\",arXiv:2024.70660,10.5735/PRkL,Nature,2023,,Adaptive motivating definition,\r\nShort impact measure fast citizen manage.,,\"[{\"\"name\"\": \"\"Stacy Cox\"\", \"\"affiliation\"\": \"\"Alexander-Matthews\"\", \"\"email\"\": \"\"gwillis@example.org\"\"}, {\"\"name\"\"\",15,None,,\"[\"\"executive\"\", \"\"threat\"\", \"\"water\"\", \"\"admit\"\"]\",arXiv:2020.61393,10.9071/pNuS,Cell,2021,,Persistent multi-state capacity,\r\n\"Relationship beautiful capital. Nor measure should.\nGoal wrong someone everyone stop. It explain adm\",,\"[{\"\"name\"\": \"\"Tammy Rodriguez\"\", \"\"affiliation\"\": \"\"Harris-Estrada\"\", \"\"email\"\": \"\"hgomez@example.net\"\"}, {\"\"name\",79,Russell-White,,\"[\"\"certain\"\", \"\"service\"\", \"\"local\"\"]\",arXiv:2023.48042,10.9151/XTgk,Cell,2020,,Open-architected grid-enabled superstructure,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"product_id\": \"PROD-651261\",\n  \"name\": \"Cross-platform scalable protocol\",\n  \"category\": \"clothing\",\n  \"price\": 855.77,\n  \"currency\": \"USD\",\n  \"stock\": 343,\n  \"is_available\": true,\n  \"rating\": 3.23,\n  \"reviews\": 830,\n  \"specs\": {\n    \"weight_kg\": 21.29,\n    \"dimensions\": \"84x20x91cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Cross-platform scalable protocol,855.77,PROD-651261,3.23,830,84x20x91cm,21.29,343\r\nbooks,USD,True,Self-enabling directional support,309.79,PROD-823306,4.01,945,64x69x14cm,12.01,784\r\nelectronics,USD,True,Face-to-face composite Graphical User Interface,986.21,PROD-772057,3.76,265,95x63x34cm,21.26,233\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvasta\",MRN-685856,Thomas Archer,RX-9346457\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-827599,Antonio Manning,RX-2412957\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-613102,William Stevens,RX-8531863\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Adaptive asynchronous synergy,349.45,PROD-107958,1.62,33,74x31x68cm,15.32,717\r\nbooks,USD,True,Grass-roots multimedia hardware,144.8,PROD-897744,1.14,798,26x62x24cm,42.39,830\r\nclothing,USD,True,Open-architected multi-state hardware,291.6,PROD-174305,4.69,682,52x36x81cm,37.66,909\r\nbooks,USD,True,Inverse static project,103.38,PROD-141689,3.94,594,44x62x43cm,39.17,202\r\nelectronics,USD,True,Customizable 24/7 emulation,921.05,PROD-193463,1.03,212,84x20x71cm,28.93,86\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<term_months>33</term_months>\n<parties>\n<name>Hart-Villanueva</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Roberts Ltd</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-05</effective_date>\n<value>95653</value>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"term_months\": 33,\n  \"parties\": [\n    {\n      \"name\": \"Hart-Villanueva\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Roberts Ltd\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-05\",\n  \"value\": 95653\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7514\"\ncode = \"NOO384\"\ntitle = \"Fundamental encompassing database 101\"\ninstructor = \"Lori Martinez\"\ncredits = 4\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"bar\"\n\n[[schedule]]\nweek = 2\ntopic = \"population\"\n\n[[schedule]]\nweek = 3\ntopic = \"thus\"\n\n[[schedule]]\nweek = 4\ntopic = \"manage\"\n\n[[schedule]]\nweek = 5\ntopic = \"purpose\"\n\n[[schedule]]\nweek = 6\ntopic = \"look\"\n\n[[schedule]]\nweek = 7\ntopic = \"nothing\"\n\n[[schedule]]\nweek = 8\ntopic = \"remember\"\n\n[[schedule]]\nweek = 9\ntopic = \"song\"\n\n[[schedule]]\nweek = 10\ntopic = \"ahead\"\n\n[[schedule]]\nweek = 11\ntopic = \"pass\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>fd278ff8-fdfc-4b1d-81ec-31cf5ce70502</error_id>\n<timestamp>2026-01-07T13:51:26.554266</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>Attack candidate in give wish tree.</message>\n<stack_trace>at thousand.py:354</stack_trace>\n<stack_trace>at forget.py:20</stack_trace>\n<stack_trace>at consider.py:392</stack_trace>\n<context>\n<user_id>d753ac0c-8931-4c37-8bd5-01413aaaba41</user_id>\n<request_id>b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-59995807\ncustomer_id: 0d66cadd-c42f-4e9b-ae40-46d71f47623d\ntimestamp: '2026-01-07T13:51:27.084892'\nitems:\n- sku: SKU-83766\n  qty: 4\n  price: 55.35\n- sku: SKU-77209\n  qty: 2\n  price: 217.97\n- sku: SKU-11210\n  qty: 5\n  price: 436.04\nsubtotal: 1600.85\ntax: 34.84\ntotal: 602.79\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<units_sold>11543</units_sold>\n<period>June 2021</period>\n<channels>\n<name>online</name>\n<revenue>1417680</revenue>\n<growth>41.94</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3176166</revenue>\n<growth>26.78</growth>\n</channels>\n<total_revenue>8223229</total_revenue>\n<top_products>\n<sku>SKU-9002</sku>\n<sales>412560</sales>\n</top_products>\n<top_products>\n<sku>SKU-3918</sku>\n<sales>426996</sales>\n</top_products>\n<top_products>\n<sku>SKU-1618</sku>\n<sales>496165</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>21bf982e-3e24-486f-a8ed-fe9e0227df3b</error_id>\n<timestamp>2026-01-07T13:51:27.797574</timestamp>\n<level>CRITICAL</level>\n<service>letService</service>\n<message>Story quite another important.</message>\n<stack_trace>at decision.py:100</stack_trace>\n<stack_trace>at sing.py:289</stack_trace>\n<stack_trace>at long.py:325</stack_trace>\n<stack_trace>at special.py:174</stack_trace>\n<context>\n<user_id>8c36ba55-183c-4481-9cd9-dc049447888c</user_id>\n<request_id>089e0eaa-71d8-4f30-a2f1-bac42a6b74a3</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\",\n  \"timestamp\": \"2026-01-07T13:51:27.797574\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"letService\",\n  \"message\": \"Story quite another important.\",\n  \"stack_trace\": [\n    \"at decision.py:100\",\n    \"at sing.py:289\",\n    \"at long.py:325\",\n    \"at special.py:174\"\n  ],\n  \"context\": {\n    \"user_id\": \"8c36ba55-183c-4481-9cd9-dc049447888c\",\n    \"request_id\": \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Cross-platform scalable protocol,855.77,PROD-651261,3.23,830,84x20x91cm,21.29,343\r\nbooks,USD,True,Decentralized clear-thinking system engine,763.23,PROD-386832,4.72,39,22x47x26cm,42.64,939\r\nclothing,USD,True,Synchronized well-modulated circuit,415.95,PROD-411911,1.72,984,97x26x95cm,17.25,282\r\nclothing,USD,True,Stand-alone zero administration adapter,51.0,PROD-569235,1.37,67,51x15x96cm,45.54,955\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from CSV to XML:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CBC,MRN-824701,LAB-1120026,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 168.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 9\"\r\n2026-01-03,Lipid,MRN-532214,LAB-7160960,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 119.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-06,CBC,MRN-279055,LAB-9580462,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 113.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1120026</result_id>\n<patient_mrn>MRN-824701</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>168.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>98.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>137.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprice = 743.81\nis_available = true\nrating = 2.69\nstock = 485\n\n[specs]\nweight_kg = 41.33\ndimensions = \"19x24x69cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"experiment_id\": \"EXP-734376\",\n  \"title\": \"Effect of probably on skin\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 800,\n    \"duration_days\": 273\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.92,\n      \"endpoint\": 99.12,\n      \"p_value\": 0.3163\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.8,\n      \"endpoint\": 81.58,\n      \"p_value\": 0.1627\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 31.59,\n      \"endpoint\": 36.02,\n      \"p_value\": 0.4619\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.54,\n      \"endpoint\": 59.85,\n      \"p_value\": 0.3654\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion,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\nnon-significant,EXP-539462,observational,237,957,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 46.98, \"\"endpoint\"\": 39.47, \"\"p_value\"\": 0.2224}, {\"\"metric\"\": \"\"effica\",Effect of effort on yard\r\nsignificant,EXP-908907,RCT,329,394,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 75.24, \"\"endpoint\"\": 94.39, \"\"p_value\"\": 0.339}, {\"\"metric\"\": \"\"safety\"\"\",Effect of executive on some\r\nnon-significant,EXP-455139,observational,74,641,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 20.99, \"\"endpoint\"\": 72.4, \"\"p_value\"\": 0.0336}, {\"\"metric\"\": \"\"safety\"\"\",Effect of degree on soldier\r\nnon-significant,EXP-723791,cohort,93,783,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 15.0, \"\"endpoint\"\": 56.88, \"\"p_value\"\": 0.1147}, {\"\"metric\"\": \"\"safety\"\"\",Effect of force on movement\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<helpful_votes>39</helpful_votes>\n<date>2026-01-04</date>\n<rating>5</rating>\n<review_id>REV-1864702</review_id>\n<title>State standard bad message use.</title>\n</customer_review>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nhelpful_votes = 39\ndate = \"2026-01-04\"\nrating = 5\nreview_id = \"REV-1864702\"\ntitle = \"State standard bad message use.\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Upgradable 4thgeneration middleware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/pass\": {\n      \"get\": {\n        \"summary\": \"Story amount nor bed night get message.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Upgradable 4thgeneration middleware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</pass>\n<get>\n<summary>Story amount nor bed night get message.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//pass>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate: '2026-01-06'\npatient_mrn: MRN-259808\nrx_id: RX-8539167\nprescriber: Joseph Griffin\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Lisinopril\n  dosage: 10mg\n  frequency: TID\n  quantity: 30\n- name: Metformin\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4493327</note_id>\n<patient>\n<mrn>MRN-934301</mrn>\n<age>62</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>141/91</bp>\n<hr>100</hr>\n<temp_f>98.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4493327\",\n  \"patient\": {\n    \"mrn\": \"MRN-934301\",\n    \"age\": 62,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"141/91\",\n    \"hr\": 100,\n    \"temp_f\": 98.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/air_get_parameters,paths_/air_get_responses_200_description,paths_/air_get_responses_400_description,paths_/air_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Pre-emptive interactive encryption API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Final democratic whatever event director guy.,,,,\r\nNearly many care lead police field seat. Customer store personal be best everything family.,\"[{\"\"name\"\": \"\"Angel Schroeder\"\", \"\"affiliation\"\": \"\"Davis Ltd\"\", \"\"email\"\": \"\"michaeldean@example.net\"\"}, {\"\"name\",205,None,,,\"[\"\"wonder\"\", \"\"feel\"\", \"\"plan\"\", \"\"federal\"\"]\",,arXiv:2023.17978,,,,,10.6326/cwoW,Science,2022,Expanded bi-directional firmware\r\nHow process natural relationship still friend court. Have herself both cover page. Music full of you,\"[{\"\"name\"\": \"\"Juan Nguyen\"\", \"\"affiliation\"\": \"\"Gonzalez-Gonzalez\"\", \"\"email\"\": \"\"tamara52@example.net\"\"}, {\"\"nam\",468,Clark Group,,,\"[\"\"deal\"\", \"\"concern\"\", \"\"challenge\"\"]\",,arXiv:2024.29034,,,,,10.1598/cNqA,Nature,2020,Robust non-volatile emulation\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Pre-emptive interactive encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/air\": {\n      \"get\": {\n        \"summary\": \"Final democratic whatever event director guy.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-4067367\"\nheadline = \"Polarized human-resource adapter\"\nauthor = \"Kristin Larson\"\npublished = \"2026-01-07T00:05:34.405255\"\nsection = \"Business\"\ncontent = \"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.\"\ntags = [ \"program\", \"final\", \"computer\", \"live\",]\nviews = 74807\nshares = 3986\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 4317671,\n  \"units_sold\": 11582,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2780960,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4140341,\n      \"growth\": -9.84\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8636\",\n      \"sales\": 261407\n    },\n    {\n      \"sku\": \"SKU-9950\",\n      \"sales\": 107242\n    },\n    {\n      \"sku\": \"SKU-8311\",\n      \"sales\": 494004\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-766800,,CRS-8819,,2026-01-03,A,,,,,71.71,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",STU-927295,,,99,assignment\r\n,RAW376,CRS-7280,4,,,40,30,30,Tracy Mills,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"send\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"measure\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"feel\"\"}, {\"\"week\",,,Fall 2020,Self-enabling encompassing collaboration 101,,\r\n,ZUC178,CRS-5973,3,,,40,30,30,Jamie Walker,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"crime\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"mission\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"cold\"\"}, {\"\"wee\",,,Spring 2024,Profit-focused intermediate service-desk 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2007174</total_revenue>\n<units_sold>24558</units_sold>\n<channels>\n<name>online</name>\n<revenue>235807</revenue>\n<growth>46.03</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4419318</revenue>\n<growth>24.35</growth>\n</channels>\n<top_products>\n<sku>SKU-6554</sku>\n<sales>258652</sales>\n</top_products>\n<top_products>\n<sku>SKU-8652</sku>\n<sales>200091</sales>\n</top_products>\n<top_products>\n<sku>SKU-9581</sku>\n<sales>65110</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9801838</article_id>\n<headline>Multi-lateral didactic encryption</headline>\n<author>Jeffrey Gordon</author>\n<published>2026-01-04T05:36:27.140251</published>\n<section>Business</section>\n<content>Partner energy whose simply half because long. Pattern include thousand care four against.\nScene center certainly letter already rate among. Do amount account court term same.\nStep usually ground onto study myself.</content>\n<tags>word</tags>\n<tags>public</tags>\n<tags>near</tags>\n<views>26731</views>\n<shares>4423</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date: '2026-01-01'\npanel: Lipid\npatient_mrn: MRN-952425\nresult_id: LAB-8958063\nresults:\n- test: Glucose\n  value: 142.4\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 196.3\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 74.4\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 119.9\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 99.2\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 51.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 186.5\n  unit: mg/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: November 2021\ntotal_revenue: 8992427\nunits_sold: 30636\nchannels:\n- name: wholesale\n  revenue: 3169564\n  growth: 42.35\n- name: retail\n  revenue: 2683860\n  growth: 36.55\ntop_products:\n- sku: SKU-9614\n  sales: 412171\n- sku: SKU-7573\n  sales: 203488\n- sku: SKU-4372\n  sales: 55896\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Nichols, Ferguson and Butler</company>\n<ticker>NDVN</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>39470251</revenue>\n<expenses>26562838</expenses>\n<net_income>16784469</net_income>\n<eps>3.2</eps>\n<metrics>\n<profit_margin>27.93</profit_margin>\n<roe>5.96</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Nichols, Ferguson and Butler\",\n  \"ticker\": \"NDVN\",\n  \"quarter\": \"Q1 2022\",\n  \"revenue\": 39470251,\n  \"expenses\": 26562838,\n  \"net_income\": 16784469,\n  \"eps\": 3.2,\n  \"metrics\": {\n    \"profit_margin\": 27.93,\n    \"roe\": 5.96\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-613322\nstudent_id: STU-814570\ncourse_id: CRS-3548\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 10\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 7\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\ntotal_score: 64\npercentage: 69.35\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,089e0eaa-71d8-4f30-a2f1-bac42a6b74a3,8c36ba55-183c-4481-9cd9-dc049447888c,21bf982e-3e24-486f-a8ed-fe9e0227df3b,,,CRITICAL,Story quite another important.,,,,,letService,\"[\"\"at decision.py:100\"\", \"\"at sing.py:289\"\", \"\"at long.py:325\"\", \"\"at special.py:174\"\"]\",2026-01-07T13:51:27.797574,\r\nDetermine story prove central. Family after right growth probably. Necessary good center note.,\"[{\"\"name\"\": \"\"Joseph Sanchez\"\", \"\"affiliation\"\": \"\"Moore Ltd\"\", \"\"email\"\": \"\"sarahesparza@example.com\"\"}, {\"\"name\",46,,,,None,\"[\"\"story\"\", \"\"prove\"\", \"\"skill\"\"]\",,,arXiv:2022.62801,10.7977/oXlN,Cell,2023,,,,Secured logistical application\r\nOffice inside son role big degree cause. Avoid anything join reality play.,\"[{\"\"name\"\": \"\"Marie Welch\"\", \"\"affiliation\"\": \"\"Gamble Inc\"\", \"\"email\"\": \"\"weaverryan@example.net\"\"}, {\"\"name\"\": \"\"\",288,,,,None,\"[\"\"itself\"\", \"\"maintain\"\", \"\"high\"\"]\",,,arXiv:2020.44648,10.5898/yoNc,Cell,2020,,,,Multi-layered asymmetric info-mediaries\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n5450ecc9-30b8-498f-a527-04ec3de16dd8,\"[{\"\"sku\"\": \"\"SKU-81880\"\", \"\"qty\"\": 4, \"\"price\"\": 401.7}, {\"\"sku\"\": \"\"SKU-99718\"\", \"\"qty\"\": 5, \"\"price\"\": 334.37}, {\"\"\",paypal,258.62,22.79,2026-01-07T13:51:26.258900,1713.37,TXN-79156891\r\n10132979-4691-4152-af15-80222662bea3,\"[{\"\"sku\"\": \"\"SKU-88079\"\", \"\"qty\"\": 2, \"\"price\"\": 438.31}, {\"\"sku\"\": \"\"SKU-23721\"\", \"\"qty\"\": 3, \"\"price\"\": 92.13}, {\"\"\",paypal,1522.29,107.25,2026-01-07T13:51:26.260098,388.72,TXN-23270878\r\n90604ff5-922b-46bf-bd13-e89ee81db4ba,\"[{\"\"sku\"\": \"\"SKU-31475\"\", \"\"qty\"\": 4, \"\"price\"\": 24.63}, {\"\"sku\"\": \"\"SKU-63789\"\", \"\"qty\"\": 3, \"\"price\"\": 362.95}, {\"\"\",apple_pay,371.77,48.24,2026-01-07T13:51:26.260159,1565.55,TXN-95810056\r\n6a33d550-2780-485c-9bc0-045a5b7ae95d,\"[{\"\"sku\"\": \"\"SKU-68333\"\", \"\"qty\"\": 1, \"\"price\"\": 89.84}, {\"\"sku\"\": \"\"SKU-87706\"\", \"\"qty\"\": 1, \"\"price\"\": 430.12}, {\"\"\",apple_pay,825.06,10.18,2026-01-07T13:51:26.260204,675.97,TXN-22647853\r\nc248c988-777d-4910-9055-b69fe393e78f,\"[{\"\"sku\"\": \"\"SKU-28998\"\", \"\"qty\"\": 5, \"\"price\"\": 368.6}, {\"\"sku\"\": \"\"SKU-18339\"\", \"\"qty\"\": 4, \"\"price\"\": 201.89}]\",apple_pay,1315.22,108.49,2026-01-07T13:51:26.260246,2062.65,TXN-55860247\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-49469407\"\nplatform = \"instagram\"\nuser_id = \"c776cd7c-2538-4c81-83c8-03afd724bed1\"\nusername = \"donald18\"\ncontent = \"Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.\"\ntimestamp = \"2026-01-07T13:51:26.031233\"\nhashtags = [ \"#daughter\", \"#after\", \"#affect\", \"#goal\",]\n\n[engagement]\nlikes = 2564\nshares = 187\ncomments = 95\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-940168,,CRS-2098,,2026-01-04,B,,,,,74.54,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 10, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"p\",STU-537461,,,93,quiz\r\n,ERD435,CRS-5711,3,,,40,30,30,Joshua Medina,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"commercial\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"end\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"involve\"\"}, {\",,,Spring 2024,Persistent attitude-oriented leverage 101,,\r\n,HOS268,CRS-4559,3,,,40,30,30,Rhonda Bailey,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"drop\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"race\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"style\"\"}, {\"\"week\"\":\",,,Spring 2020,Down-sized client-driven productivity 101,,\r\n,ORX286,CRS-5424,3,,,40,30,30,Sharon Shea,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"always\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"idea\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"serious\"\"}, {\"\"we\",,,Fall 2021,Implemented 5thgeneration knowledge user 101,,\r\n,JSH489,CRS-8626,3,,,40,30,30,Alicia Carter,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"list\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"yard\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"simply\"\"}, {\"\"week\"\"\",,,Fall 2024,Business-focused context-sensitive hierarchy 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need sales analytics details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"August 2023\"\ntotal_revenue = 1437544\nunits_sold = 6218\n[[channels]]\nname = \"retail\"\nrevenue = 599531\ngrowth = 9.12\n\n[[channels]]\nname = \"online\"\nrevenue = 1243930\ngrowth = 39.17\n\n[[top_products]]\nsku = \"SKU-6325\"\nsales = 360707\n\n[[top_products]]\nsku = \"SKU-9614\"\nsales = 232030\n\n[[top_products]]\nsku = \"SKU-6787\"\nsales = 91726\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2309770</result_id>\n<patient_mrn>MRN-380513</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>62.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>75.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>170.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id = \"LAB-2309770\"\npatient_mrn = \"MRN-380513\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 62.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 141.2\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 75.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 174.6\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 170.1\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"info\": {\n    \"title\": \"Multi-tiered directional knowledge user API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/require\": {\n      \"get\": {\n        \"summary\": \"Suffer kid pull bed decision rest.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Multi-tiered directional knowledge user API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</require>\n<get>\n<summary>Suffer kid pull bed decision rest.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//require>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-956799</experiment_id>\n<title>Effect of town on start</title>\n<methodology>\n<design>RCT</design>\n<sample_size>962</sample_size>\n<duration_days>355</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>84.98</baseline>\n<endpoint>18.54</endpoint>\n<p_value>0.3765</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>50.71</baseline>\n<endpoint>79.49</endpoint>\n<p_value>0.1783</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.25</baseline>\n<endpoint>81.5</endpoint>\n<p_value>0.0959</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>53.32</baseline>\n<endpoint>58.41</endpoint>\n<p_value>0.1807</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-830951\nname: Multi-layered tangible superstructure\ncategory: clothing\nprice: 269.31\ncurrency: USD\nstock: 322\nis_available: true\nrating: 2.21\nreviews: 733\nspecs:\n  weight_kg: 46.04\n  dimensions: 75x77x31cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate error log data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"a016c8d2-6aba-435a-ab46-60ac8aacf0a5\"\ntimestamp = \"2026-01-07T13:51:26.006823\"\nlevel = \"CRITICAL\"\nservice = \"currentService\"\nmessage = \"Well nation stay number now but.\"\nstack_trace = [ \"at daughter.py:364\", \"at same.py:66\",]\n\n[context]\nuser_id = \"432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5\"\nrequest_id = \"4ed63374-fc09-4101-b987-4a8ee575fee3\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-313579</contract_id>\n<parties>\n<name>Roberts, Newton and Ortiz</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Garcia PLC</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>55</term_months>\n<value>108642</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-313579\",\n  \"parties\": [\n    {\n      \"name\": \"Roberts, Newton and Ortiz\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Garcia PLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 55,\n  \"value\": 108642,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"69ef512f-ddd4-415a-b99a-51e8f50d151c\"\ntimestamp = \"2026-01-07T13:51:25.644182\"\nlevel = \"WARNING\"\nservice = \"fillService\"\nmessage = \"Minute heart focus arrive.\"\nstack_trace = [ \"at administration.py:211\", \"at lawyer.py:276\", \"at discussion.py:115\",]\n\n[context]\nuser_id = \"29c6c678-1224-4e33-8bc1-e94776cd4eb2\"\nrequest_id = \"42e054d1-48f9-4a1c-ad7b-82ed505d6250\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I24</icd10>\n</assessment>\n<encounter_date>2026-01-06</encounter_date>\n<patient>\n<mrn>MRN-470382</mrn>\n<age>61</age>\n<gender>F</gender>\n</patient>\n<note_id>CN-3244099</note_id>\n<vitals>\n<bp>158/77</bp>\n<hr>112</hr>\n<temp_f>99.5</temp_f>\n</vitals>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.87801\"\ntitle = \"Cross-group 24/7 methodology\"\nabstract = \"Reality maybe court material response cell. Middle instead husband win thousand collection.\"\nkeywords = [ \"girl\", \"face\", \"protect\",]\ncitations = 193\nfunding_source = \"Williams Ltd\"\n[[authors]]\nname = \"Scott Webb\"\naffiliation = \"Chapman LLC\"\nemail = \"juanbooth@example.com\"\n\n[[authors]]\nname = \"Robert Mullins\"\naffiliation = \"Robbins, Adkins and Rogers\"\nemail = \"michaeldunn@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.4960/byWV\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need course syllabus details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1869\ncode: TST452\ntitle: Automated asymmetric function 101\ninstructor: Stephanie Hernandez\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: including\n- week: 2\n  topic: national\n- week: 3\n  topic: compare\n- week: 4\n  topic: run\n- week: 5\n  topic: plan\n- week: 6\n  topic: maybe\n- week: 7\n  topic: traditional\n- week: 8\n  topic: security\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-54622203\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"1456e108-0a50-4482-8f1a-b1cb2398a121\",\n  \"username\": \"fullersteven\",\n  \"content\": \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\",\n  \"timestamp\": \"2026-01-07T13:51:25.504049\",\n  \"hashtags\": [\n    \"#deep\",\n    \"#yes\",\n    \"#long\",\n    \"#including\"\n  ],\n  \"engagement\": {\n    \"likes\": 464,\n    \"shares\": 699,\n    \"comments\": 294\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-54622203</post_id>\n<platform>instagram</platform>\n<user_id>1456e108-0a50-4482-8f1a-b1cb2398a121</user_id>\n<username>fullersteven</username>\n<content>Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\nAny fine power truth. Big like investment simple whatever education.</content>\n<timestamp>2026-01-07T13:51:25.504049</timestamp>\n<hashtags>#deep</hashtags>\n<hashtags>#yes</hashtags>\n<hashtags>#long</hashtags>\n<hashtags>#including</hashtags>\n<engagement>\n<likes>464</likes>\n<shares>699</shares>\n<comments>294</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-485879\nstudent_id: STU-284737\ncourse_id: CRS-1053\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 0\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: 9\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 9\n  points_possible: 10\n- question: 7\n  points_earned: 2\n  points_possible: 10\ntotal_score: 89\npercentage: 64.04\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\",\n  \"timestamp\": \"2026-01-07T13:51:27.288021\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"reasonService\",\n  \"message\": \"Recent security meet three Congress find seat.\",\n  \"stack_trace\": [\n    \"at current.py:236\",\n    \"at your.py:146\",\n    \"at without.py:194\"\n  ],\n  \"context\": {\n    \"user_id\": \"fc408ea4-9df4-4d81-87da-9d63d4bc8744\",\n    \"request_id\": \"d8c95012-b6bb-42d7-8cb4-e57e77353a5b\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d</error_id>\n<timestamp>2026-01-07T13:51:27.288021</timestamp>\n<level>CRITICAL</level>\n<service>reasonService</service>\n<message>Recent security meet three Congress find seat.</message>\n<stack_trace>at current.py:236</stack_trace>\n<stack_trace>at your.py:146</stack_trace>\n<stack_trace>at without.py:194</stack_trace>\n<context>\n<user_id>fc408ea4-9df4-4d81-87da-9d63d4bc8744</user_id>\n<request_id>d8c95012-b6bb-42d7-8cb4-e57e77353a5b</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,author,authors,citations,funding_source,headline,keywords,paper_id,publication_doi,publication_venue,publication_year,published,tags,title\r\n,Jenna Bryant,,,,Secured composite leverage,,,,,,2026-01-04T22:19:16.750289,\"[\"\"most\"\", \"\"off\"\", \"\"shoulder\"\"]\",\r\nFind send compare professor now too site. Feeling order training keep enough wife.,,\"[{\"\"name\"\": \"\"Melvin Chavez\"\", \"\"affiliation\"\": \"\"Davis, Rodriguez and Strong\"\", \"\"email\"\": \"\"nancy81@example.n\",159,Smith-Reynolds,,\"[\"\"choice\"\", \"\"name\"\", \"\"agent\"\"]\",arXiv:2022.34035,10.1840/qQXX,Science,2023,,,Managed maximized circuit\r\nTax ever pressure peace to cold. Position clear share even impact. Small collection artist military.,,\"[{\"\"name\"\": \"\"Nicole Choi\"\", \"\"affiliation\"\": \"\"Cross Inc\"\", \"\"email\"\": \"\"travisromero@example.org\"\"}, {\"\"name\"\": \",236,None,,\"[\"\"number\"\", \"\"class\"\", \"\"son\"\", \"\"water\"\", \"\"whom\"\"]\",arXiv:2023.14920,10.6351/SatP,Nature,2022,,,Monitored next generation throughput\r\nOrganization especially watch participant play rule world. Life worry relationship sit security can.,,\"[{\"\"name\"\": \"\"Kimberly Howard\"\", \"\"affiliation\"\": \"\"Carr, Bailey and Kerr\"\", \"\"email\"\": \"\"nlamb@example.com\"\"}, \",132,None,,\"[\"\"fine\"\", \"\"growth\"\", \"\"meet\"\", \"\"example\"\"]\",arXiv:2024.81719,10.8535/nopw,Cell,2020,,,Multi-layered homogeneous moratorium\r\nOn laugh order ahead. Without against among hope discuss. Summer none community charge.,,\"[{\"\"name\"\": \"\"Joshua Cunningham\"\", \"\"affiliation\"\": \"\"Carrillo and Sons\"\", \"\"email\"\": \"\"zibarra@example.net\"\"}, \",89,None,,\"[\"\"recently\"\", \"\"right\"\", \"\"poor\"\"]\",arXiv:2020.53133,10.6671/pBFP,Science,2023,,,Cross-platform bifurcated encoding\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-893180</assessment_id>\n<student_id>STU-881633</student_id>\n<course_id>CRS-6394</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>98</total_score>\n<percentage>73.06</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-893180\",\n  \"student_id\": \"STU-881633\",\n  \"course_id\": \"CRS-6394\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 98,\n  \"percentage\": 73.06,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Balanced real-time array,113.38,PROD-895519,3.45,770,63x20x37cm,23.6,485\r\nbooks,USD,True,Managed bifurcated archive,28.96,PROD-361460,1.13,107,96x65x34cm,8.55,589\r\nclothing,USD,True,Future-proofed incremental Local Area Network,152.63,PROD-779333,3.69,807,51x19x89cm,39.38,116\r\nelectronics,USD,True,Extended interactive moderator,294.21,PROD-687884,4.67,651,32x28x71cm,35.32,84\r\nelectronics,USD,True,Horizontal directional initiative,604.19,PROD-814620,2.6,407,21x16x33cm,34.28,802\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-6180455,David Espinoza,\"Either large lot east. Show everybody away city election happy my. Believe left sure mother.\nWhom ga\",Grass-roots multi-tasking hub,2026-01-07T13:20:10.771283,Politics,2564,\"[\"\"size\"\", \"\"commercial\"\", \"\"president\"\", \"\"city\"\", \"\"expect\"\"]\",43396\r\nART-2182419,Robert Marshall,Occur activity camera reach management fall. Early machine direction mouth girl condition challenge.,Public-key motivating methodology,2026-01-01T04:17:08.457393,Politics,4721,\"[\"\"feel\"\", \"\"stay\"\", \"\"do\"\", \"\"student\"\", \"\"music\"\"]\",77224\r\nART-5298594,Theodore Brady,There professor party cover fly study radio. Process those all word hotel at perhaps. Strategy ask t,Future-proofed bifurcated standardization,2026-01-05T16:49:21.984657,Sports,967,\"[\"\"maintain\"\", \"\"human\"\", \"\"but\"\"]\",91827\r\nART-9171860,Stephanie Valenzuela,Main whatever it field. Pull himself trouble themselves officer Republican. Everybody address guy fi,Quality-focused scalable protocol,2026-01-01T09:23:05.902795,Tech,2188,\"[\"\"anything\"\", \"\"year\"\", \"\"since\"\"]\",92753\r\nART-4473583,Daniel Thomas,\"Improve four position natural. Thought medical camera. Prevent although happen.\nDifference six avail\",Innovative transitional instruction set,2026-01-04T12:02:18.215147,Business,1990,\"[\"\"standard\"\", \"\"reach\"\", \"\"no\"\", \"\"glass\"\", \"\"outside\"\"]\",55011\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-842353\",\n  \"name\": \"Synergistic bottom-line conglomeration\",\n  \"category\": \"books\",\n  \"price\": 609.49,\n  \"currency\": \"USD\",\n  \"stock\": 399,\n  \"is_available\": true,\n  \"rating\": 1.05,\n  \"reviews\": 570,\n  \"specs\": {\n    \"weight_kg\": 25.04,\n    \"dimensions\": \"30x19x82cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-842353</product_id>\n<name>Synergistic bottom-line conglomeration</name>\n<category>books</category>\n<price>609.49</price>\n<currency>USD</currency>\n<stock>399</stock>\n<is_available>True</is_available>\n<rating>1.05</rating>\n<reviews>570</reviews>\n<specs>\n<weight_kg>25.04</weight_kg>\n<dimensions>30x19x82cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-5490961\",\n  \"patient_mrn\": \"MRN-709917\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 146.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 73.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 166.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 98.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5490961</result_id>\n<patient_mrn>MRN-709917</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>146.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>73.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>166.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>98.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/hope_get_parameters,paths_/hope_get_responses_200_description,paths_/hope_get_responses_400_description,paths_/hope_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Realigned grid-enabled definition API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Clearly anyone stop single.,,,,\r\n\"Option best natural. Him store even positive type while.\nManagement certain drug purpose nothing. Pa\",\"[{\"\"name\"\": \"\"Holly Weaver\"\", \"\"affiliation\"\": \"\"Villegas-Sanchez\"\", \"\"email\"\": \"\"smithjohn@example.org\"\"}, {\"\"na\",324,Molina PLC,,,\"[\"\"run\"\", \"\"law\"\", \"\"break\"\", \"\"performance\"\", \"\"clearly\"\"]\",,arXiv:2022.35448,,,,,10.3412/VntS,Science,2023,Synergistic discrete analyzer\r\nBusiness thing improve science possible watch. Decision American into rest task.,\"[{\"\"name\"\": \"\"David Haney\"\", \"\"affiliation\"\": \"\"Nixon-Cruz\"\", \"\"email\"\": \"\"bakersandra@example.net\"\"}, {\"\"name\"\": \",228,None,,,\"[\"\"together\"\", \"\"remember\"\", \"\"good\"\", \"\"agree\"\"]\",,arXiv:2023.89493,,,,,10.1957/Eexe,Cell,2023,User-centric dynamic data-warehouse\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-182591,observational,253,932,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 31.81, \"\"endpoint\"\": 94.75, \"\"p_value\"\": 0.1765}, {\"\"metric\"\": \"\"effica\",Effect of put on cultural\r\nsignificant,EXP-857561,RCT,343,261,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 63.24, \"\"endpoint\"\": 99.07, \"\"p_value\"\": 0.2696}, {\"\"metric\"\": \"\"safety\",Effect of same on before\r\nsignificant,EXP-687189,RCT,64,736,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 75.57, \"\"endpoint\"\": 57.62, \"\"p_value\"\": 0.4131}, {\"\"metric\"\": \"\"effica\",Effect of hair on lay\r\nnon-significant,EXP-185833,cohort,310,595,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 48.52, \"\"endpoint\"\": 28.25, \"\"p_value\"\": 0.3985}, {\"\"metric\"\": \"\"efficacy\",Effect of million on price\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nproduct_id = \"PROD-421885\"\nname = \"Diverse 6thgeneration solution\"\ncategory = \"books\"\nprice = 48.12\ncurrency = \"USD\"\nstock = 460\nis_available = true\nrating = 3.7\nreviews = 717\n\n[specs]\nweight_kg = 20.82\ndimensions = \"87x57x81cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"March 2022\"\ntotal_revenue = 2472943\nunits_sold = 2053\n[[channels]]\nname = \"wholesale\"\nrevenue = 3703587\ngrowth = 38.49\n\n[[channels]]\nname = \"retail\"\nrevenue = 3200920\ngrowth = -8.82\n\n[[top_products]]\nsku = \"SKU-8959\"\nsales = 220308\n\n[[top_products]]\nsku = \"SKU-7189\"\nsales = 206126\n\n[[top_products]]\nsku = \"SKU-5359\"\nsales = 225947\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-308726</product_id>\n<name>Cross-platform client-server attitude</name>\n<category>electronics</category>\n<price>875.12</price>\n<currency>USD</currency>\n<stock>161</stock>\n<is_available>True</is_available>\n<rating>1.18</rating>\n<reviews>705</reviews>\n<specs>\n<weight_kg>37.34</weight_kg>\n<dimensions>78x81x41cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\npost_id: POST-54622203\nplatform: instagram\nuser_id: 1456e108-0a50-4482-8f1a-b1cb2398a121\nusername: fullersteven\ncontent: 'Card these member kid western growth. Staff draw say early town general.\n  Large break interesting ten against open.\n\n  Any fine power truth. Big like investment simple whatever education.'\ntimestamp: '2026-01-07T13:51:25.504049'\nhashtags:\n- '#deep'\n- '#yes'\n- '#long'\n- '#including'\nengagement:\n  likes: 464\n  shares: 699\n  comments: 294\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-54622203\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"1456e108-0a50-4482-8f1a-b1cb2398a121\",\n  \"username\": \"fullersteven\",\n  \"content\": \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\",\n  \"timestamp\": \"2026-01-07T13:51:25.504049\",\n  \"hashtags\": [\n    \"#deep\",\n    \"#yes\",\n    \"#long\",\n    \"#including\"\n  ],\n  \"engagement\": {\n    \"likes\": 464,\n    \"shares\": 699,\n    \"comments\": 294\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Face-to-face zero administration application API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</peace>\n<get>\n<summary>Feel piece low way effort action bag.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//peace>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Face-to-face zero administration application API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/peace\": {\n      \"get\": {\n        \"summary\": \"Feel piece low way effort action bag.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: e9863bf2-1156-4ee5-936b-cb846c109979\ntimestamp: '2026-01-06T09:43:30.292641'\nlevel: ERROR\nservice: costService\nmessage: Usually south space like.\nstack_trace:\n- at hand.py:400\n- at turn.py:462\n- at economy.py:282\ncontext:\n  user_id: d90b4db0-f54c-4172-8632-50621e65f6a0\n  request_id: 0d6e60e7-88b3-4be5-b67b-5ef5e668afd7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-9178511\nheadline: Fully-configurable secondary access\nauthor: Gabrielle Daugherty\npublished: '2026-01-05T07:34:40.744934'\nsection: Tech\ncontent: 'Lawyer might home mouth end so science. Hope attention strong public teach\n  person beautiful though. Really decision land evening year.\n\n  Just role ground discover. Five stand writer floor.'\ntags:\n- maybe\n- glass\n- election\n- moment\nviews: 24250\nshares: 778\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-30576570\ncustomer_id: a2e7ec78-185c-4070-bf03-47bec515c226\ntimestamp: '2026-01-06T09:43:31.891069'\nitems:\n- sku: SKU-84721\n  qty: 3\n  price: 247.68\n- sku: SKU-13319\n  qty: 2\n  price: 77.91\n- sku: SKU-82094\n  qty: 4\n  price: 431.56\n- sku: SKU-56817\n  qty: 1\n  price: 471.82\nsubtotal: 903.74\ntax: 26.77\ntotal: 481.79\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-6036951</rx_id>\n<patient_mrn>MRN-440463</patient_mrn>\n<prescriber>Lisa Mathews</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-6036951\",\n  \"patient_mrn\": \"MRN-440463\",\n  \"prescriber\": \"Lisa Mathews\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nHGI435,CRS-3744,3,40,30,30,Pamela Rose,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"answer\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"very\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"center\"\"}, {\"\"wee\",Spring 2024,Organized context-sensitive budgetary management 101\r\nTHK259,CRS-5785,4,40,30,30,Linda Young,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"player\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"similar\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"likely\"\"}, {\"\"\",Spring 2021,Diverse maximized extranet 101\r\nASU356,CRS-3379,3,40,30,30,Ian Campbell,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"do\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"concern\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"according\"\"}, {\"\"w\",Fall 2022,Sharable regional budgetary management 101\r\nGFC336,CRS-7008,3,40,30,30,Dan Wheeler,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"size\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"price\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ready\"\"}, {\"\"week\"\"\",Spring 2023,Public-key interactive algorithm 101\r\nXMD375,CRS-7742,3,40,30,30,John Charles,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"easy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"computer\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"his\"\"}, {\"\"week\",Spring 2021,Enterprise-wide directional collaboration 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-3305496\",\n  \"patient_mrn\": \"MRN-551064\",\n  \"prescriber\": \"Eric Jackson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2007174,\n  \"units_sold\": 24558,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 235807,\n      \"growth\": 46.03\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4419318,\n      \"growth\": 24.35\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6554\",\n      \"sales\": 258652\n    },\n    {\n      \"sku\": \"SKU-8652\",\n      \"sales\": 200091\n    },\n    {\n      \"sku\": \"SKU-9581\",\n      \"sales\": 65110\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2007174</total_revenue>\n<units_sold>24558</units_sold>\n<channels>\n<name>online</name>\n<revenue>235807</revenue>\n<growth>46.03</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4419318</revenue>\n<growth>24.35</growth>\n</channels>\n<top_products>\n<sku>SKU-6554</sku>\n<sales>258652</sales>\n</top_products>\n<top_products>\n<sku>SKU-8652</sku>\n<sales>200091</sales>\n</top_products>\n<top_products>\n<sku>SKU-9581</sku>\n<sales>65110</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,effective_date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,status,term_months,title,value\r\n,,,2026-01-03,,,,,,,executed,24,,837359\r\nCreate author deep beat break them concern. Mother not hit road. Develop trade eight lay camera.,\"[{\"\"name\"\": \"\"Cameron Combs\"\", \"\"affiliation\"\": \"\"Roberts Group\"\", \"\"email\"\": \"\"stewartdavid@example.org\"\"}, {\"\"n\",1,,None,\"[\"\"instead\"\", \"\"without\"\", \"\"pass\"\", \"\"work\"\"]\",arXiv:2024.54008,10.2217/fDwl,Nature,2022,,,Polarized didactic implementation,\r\nMillion position statement appear seem difference capital. Somebody network call movie office month.,\"[{\"\"name\"\": \"\"Brian Brown\"\", \"\"affiliation\"\": \"\"Wolfe-Ochoa\"\", \"\"email\"\": \"\"cpeters@example.net\"\"}, {\"\"name\"\": \"\"Sa\",359,,Bishop-Barnes,\"[\"\"teacher\"\", \"\"fund\"\", \"\"oil\"\", \"\"fact\"\", \"\"include\"\"]\",arXiv:2024.35432,10.8620/aDnX,Science,2024,,,Decentralized intermediate challenge,\r\nBudget improve huge character. We money bag executive name great. Actually record drug record.,\"[{\"\"name\"\": \"\"Hannah Brooks\"\", \"\"affiliation\"\": \"\"Brown, Nguyen and Martin\"\", \"\"email\"\": \"\"roger22@example.com\"\"\",221,,\"Valencia, Myers and Miller\",\"[\"\"white\"\", \"\"by\"\", \"\"safe\"\", \"\"professional\"\"]\",arXiv:2021.56267,10.1547/YAIw,Nature,2020,,,Optional high-level extranet,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.49729</paper_id>\n<title>Optimized fault-tolerant monitoring</title>\n<authors>\n<name>Ashley Hubbard</name>\n<affiliation>Mcdonald-White</affiliation>\n<email>jenniferlong@example.net</email>\n</authors>\n<authors>\n<name>Erica Marshall</name>\n<affiliation>Calderon-Dalton</affiliation>\n<email>adouglas@example.org</email>\n</authors>\n<authors>\n<name>Mercedes Campbell</name>\n<affiliation>Davis-Lynch</affiliation>\n<email>yharris@example.org</email>\n</authors>\n<abstract>Relate make read game soldier new. Agree south attorney one century drive draw.\nReduce head tax certainly offer deal. Sister station adult seat wear.</abstract>\n<keywords>gas</keywords>\n<keywords>understand</keywords>\n<keywords>everything</keywords>\n<keywords>miss</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.3465/hMKF</doi>\n</publication>\n<citations>65</citations>\n<funding_source>Parsons Inc</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.49729\",\n  \"title\": \"Optimized fault-tolerant monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Ashley Hubbard\",\n      \"affiliation\": \"Mcdonald-White\",\n      \"email\": \"jenniferlong@example.net\"\n    },\n    {\n      \"name\": \"Erica Marshall\",\n      \"affiliation\": \"Calderon-Dalton\",\n      \"email\": \"adouglas@example.org\"\n    },\n    {\n      \"name\": \"Mercedes Campbell\",\n      \"affiliation\": \"Davis-Lynch\",\n      \"email\": \"yharris@example.org\"\n    }\n  ],\n  \"abstract\": \"Relate make read game soldier new. Agree south attorney one century drive draw.\\nReduce head tax certainly offer deal. Sister station adult seat wear.\",\n  \"keywords\": [\n    \"gas\",\n    \"understand\",\n    \"everything\",\n    \"miss\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.3465/hMKF\"\n  },\n  \"citations\": 65,\n  \"funding_source\": \"Parsons Inc\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Snow, Shelton and Parsons</company>\n<ticker>LYEH</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>49988929</revenue>\n<expenses>3428077</expenses>\n<net_income>8543670</net_income>\n<eps>3.41</eps>\n<metrics>\n<profit_margin>11.21</profit_margin>\n<roe>5.99</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Snow, Shelton and Parsons\",\n  \"ticker\": \"LYEH\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 49988929,\n  \"expenses\": 3428077,\n  \"net_income\": 8543670,\n  \"eps\": 3.41,\n  \"metrics\": {\n    \"profit_margin\": 11.21,\n    \"roe\": 5.99\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-723618\"\ntitle = \"Effect of gas on morning\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 74.84\nendpoint = 20.8\np_value = 0.0634\n\n[[results]]\nmetric = \"safety\"\nbaseline = 40.97\nendpoint = 78.35\np_value = 0.0795\n\n[[results]]\nmetric = \"safety\"\nbaseline = 27.38\nendpoint = 18.23\np_value = 0.1555\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 152\nduration_days = 66\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5383313</result_id>\n<patient_mrn>MRN-584871</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>194.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>67.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>195.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>146.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>119.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5383313\",\n  \"patient_mrn\": \"MRN-584871\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 194.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 67.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 195.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 146.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 119.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-2983714\",\n  \"patient_mrn\": \"MRN-369371\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 60.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 172.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 145.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 83.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Cross-group bottom-line algorithm API\"\nversion = \"1.0.0\"\n\n[paths.\"/rule\".get]\nsummary = \"Center available level environment per away author\"\n[[paths.\"/rule\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/rule\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/rule\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/rule\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Cross-group bottom-line algorithm API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</rule>\n<get>\n<summary>Center available level environment per away author</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//rule>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn: MRN-968637\nprescriber: Linda Howell\ndate: '2026-01-04'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: TID\n  quantity: 30\n- name: Metformin\n  dosage: 10mg\n  frequency: TID\n  quantity: 90\nrx_id: RX-6124964\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3766387</note_id>\n<patient>\n<mrn>MRN-378219</mrn>\n<age>48</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>145/101</bp>\n<hr>106</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J94</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-23186111\nplatform: twitter\nuser_id: 85951ac5-a9b8-4154-8edc-693bcde245cf\nusername: srodriguez\ncontent: 'Stand leave decade year collection. Republican point edge yet business.\n\n  Suffer accept central against. Cup theory mouth side message.\n\n  Concern magazine exactly maybe oil difficult.'\ntimestamp: '2026-01-07T13:51:25.750515'\nhashtags:\n- '#community'\n- '#whatever'\nengagement:\n  likes: 4745\n  shares: 251\n  comments: 51\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npanel = \"Lipid\"\nresult_id = \"LAB-2052546\"\norder_date = \"2026-01-02\"\npatient_mrn = \"MRN-874630\"\n[[results]]\ntest = \"Glucose\"\nvalue = 97.8\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 72.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 78.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 133.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 117.2\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 80.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 186.4\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-953318\nparties:\n- name: Lozano-Barrera\n  role: party_a\n- name: Thompson-Erickson\n  role: party_b\neffective_date: '2026-01-02'\nterm_months: 51\nvalue: 860753\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-4787173\nproduct_id: PROD-746934\nuser_id: a1638e54-91af-4e5f-be10-465327f3fbf6\nrating: 4\ntitle: Rock company surface either million.\ncontent: Suddenly plant stay thank project hand me. Commercial his road carry training\n  trip.\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"e78ff1cc-d984-499d-9fcf-126ccada9355\",\n  \"timestamp\": \"2026-01-07T13:51:26.607679\",\n  \"level\": \"WARNING\",\n  \"service\": \"generationService\",\n  \"message\": \"Bag difference growth have leader yeah him.\",\n  \"stack_trace\": [\n    \"at teach.py:30\",\n    \"at poor.py:409\"\n  ],\n  \"context\": {\n    \"user_id\": \"e8daac99-0bad-4fb0-ae26-78525528db85\",\n    \"request_id\": \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nitems:\n- sku: SKU-89816\n  qty: 1\n  price: 437.44\n- sku: SKU-65650\n  qty: 1\n  price: 455.72\n- sku: SKU-98183\n  qty: 3\n  price: 337.62\ntotal: 1900.4\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Because field plan wait happy painting. Yet among teach if.\nRise matter degree blue.\nPage already ca\",8,4780,81,\"[\"\"#wonder\"\", \"\"#until\"\", \"\"#every\"\", \"\"#remember\"\"]\",instagram,POST-61211479,2026-01-06T09:43:29.728373,47e055dc-48f8-4fb2-917c-a08294c0facb,paulmason\r\nHalf alone among great health myself account. Article strong political site. Enter teacher lay drug ,170,5130,708,\"[\"\"#their\"\", \"\"#morning\"\", \"\"#program\"\"]\",facebook,POST-61503597,2026-01-06T09:43:29.729795,c14b897a-9d07-41f6-991b-071c90450757,kanenathan\r\nPerhaps foot operation energy. Build everyone her baby whether important give. Evidence option manag,402,8515,784,\"[\"\"#use\"\", \"\"#responsibility\"\"]\",facebook,POST-19544906,2026-01-06T09:43:29.730197,16991c4c-1c0f-409c-a540-4e6ec6a0275f,clarktara\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n681a59bc-1151-4d49-8e75-1af0878315cb,\"[{\"\"sku\"\": \"\"SKU-50616\"\", \"\"qty\"\": 3, \"\"price\"\": 180.94}, {\"\"sku\"\": \"\"SKU-82812\"\", \"\"qty\"\": 5, \"\"price\"\": 490.31}]\",credit_card,948.16,93.65,2026-01-07T13:51:26.087659,1389.7,TXN-98000345\r\n922f5254-ad59-4f90-9740-bf684634228a,\"[{\"\"sku\"\": \"\"SKU-70076\"\", \"\"qty\"\": 5, \"\"price\"\": 386.96}, {\"\"sku\"\": \"\"SKU-80036\"\", \"\"qty\"\": 5, \"\"price\"\": 147.45}, {\",apple_pay,777.16,74.29,2026-01-07T13:51:26.089112,790.22,TXN-90251692\r\n1f5c625d-d023-43eb-b0b2-50b07f77babc,\"[{\"\"sku\"\": \"\"SKU-98932\"\", \"\"qty\"\": 5, \"\"price\"\": 478.63}, {\"\"sku\"\": \"\"SKU-88322\"\", \"\"qty\"\": 2, \"\"price\"\": 65.75}, {\"\"\",paypal,447.17,89.13,2026-01-07T13:51:26.089166,617.67,TXN-28934087\r\na032b831-c97a-46b1-ada1-cd8ecce91588,\"[{\"\"sku\"\": \"\"SKU-84448\"\", \"\"qty\"\": 2, \"\"price\"\": 482.26}]\",paypal,462.51,149.82,2026-01-07T13:51:26.089207,1349.47,TXN-18349812\r\n0a381195-52e2-43bb-a027-9135179b0bc7,\"[{\"\"sku\"\": \"\"SKU-96887\"\", \"\"qty\"\": 3, \"\"price\"\": 65.06}, {\"\"sku\"\": \"\"SKU-57777\"\", \"\"qty\"\": 5, \"\"price\"\": 45.11}, {\"\"s\",paypal,532.84,55.09,2026-01-07T13:51:26.089237,877.51,TXN-83459278\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntxn_id = \"TXN-98000345\"\ncustomer_id = \"681a59bc-1151-4d49-8e75-1af0878315cb\"\ntimestamp = \"2026-01-07T13:51:26.087659\"\nsubtotal = 948.16\ntax = 93.65\ntotal = 1389.7\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-50616\"\nqty = 3\nprice = 180.94\n\n[[items]]\nsku = \"SKU-82812\"\nqty = 5\nprice = 490.31\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-1797\",\n  \"code\": \"QAA477\",\n  \"title\": \"User-friendly composite interface 101\",\n  \"instructor\": \"Selena Walker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"all\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"education\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"will\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"operation\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"plan\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"allow\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1797</course_id>\n<code>QAA477</code>\n<title>User-friendly composite interface 101</title>\n<instructor>Selena Walker</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>all</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>education</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>will</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>operation</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>plan</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>allow</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-817642,,CRS-8326,,2026-01-03,A,,,,,56.31,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 9, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-222420,,,60,assignment\r\n,GAN425,CRS-3268,4,,,40,30,30,Regina Villegas,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"yeah\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"political\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"sister\"\"}, {\"\"\",,,Spring 2022,Decentralized multi-tasking synergy 101,,\r\n,HIL464,CRS-1266,3,,,40,30,30,Shannon Salas,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"those\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"nature\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"send\"\"}, {\"\"week\",,,Spring 2020,Digitized solution-oriented encryption 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"paper_id\": \"arXiv:2023.67735\",\n  \"title\": \"Optimized even-keeled conglomeration\",\n  \"authors\": [\n    {\n      \"name\": \"Garrett Contreras\",\n      \"affiliation\": \"Drake-Dunn\",\n      \"email\": \"sandrapineda@example.net\"\n    },\n    {\n      \"name\": \"Ryan Bell\",\n      \"affiliation\": \"Ramos, Gates and Reed\",\n      \"email\": \"kdavis@example.net\"\n    },\n    {\n      \"name\": \"Cindy Silva\",\n      \"affiliation\": \"Bryant, Pratt and Henderson\",\n      \"email\": \"fmiller@example.net\"\n    }\n  ],\n  \"abstract\": \"Sort suffer stand purpose six resource. Forward hard officer film the word human first.\",\n  \"keywords\": [\n    \"attack\",\n    \"not\",\n    \"describe\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.7544/lKSL\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Wood, Baldwin and Cain\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67735</paper_id>\n<title>Optimized even-keeled conglomeration</title>\n<authors>\n<name>Garrett Contreras</name>\n<affiliation>Drake-Dunn</affiliation>\n<email>sandrapineda@example.net</email>\n</authors>\n<authors>\n<name>Ryan Bell</name>\n<affiliation>Ramos, Gates and Reed</affiliation>\n<email>kdavis@example.net</email>\n</authors>\n<authors>\n<name>Cindy Silva</name>\n<affiliation>Bryant, Pratt and Henderson</affiliation>\n<email>fmiller@example.net</email>\n</authors>\n<abstract>Sort suffer stand purpose six resource. Forward hard officer film the word human first.</abstract>\n<keywords>attack</keywords>\n<keywords>not</keywords>\n<keywords>describe</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.7544/lKSL</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Wood, Baldwin and Cain</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nTreat second sing development scientist particularly their. Like question recently line top. Resourc,194,4027,604,\"[\"\"#box\"\", \"\"#speak\"\", \"\"#reason\"\"]\",instagram,POST-61935008,2026-01-07T13:51:25.597395,ecd9585e-2adb-45f4-adda-e91c5f4f7ebe,halezachary\r\n\"Happy indeed whole day. Nor brother type. Cell recently method boy ability.\nHuman much push travel l\",264,9516,995,\"[\"\"#central\"\", \"\"#step\"\", \"\"#instead\"\"]\",twitter,POST-22399127,2026-01-07T13:51:25.598790,6fce34a9-fae5-4e99-9fc0-2d124b25aa8d,ecole\r\nSing hospital marriage travel. Tend course sort single. Soon teacher almost north day environmental ,307,4702,221,\"[\"\"#watch\"\", \"\"#institution\"\", \"\"#piece\"\", \"\"#that\"\"]\",facebook,POST-79060770,2026-01-07T13:51:25.599113,01f7b26f-f630-4ba3-b553-d8bb7e426f3e,rallen\r\nImportant build nature reveal guy within these. Factor give act after trial live. Degree camera both,105,6399,218,\"[\"\"#test\"\", \"\"#matter\"\", \"\"#feel\"\"]\",twitter,POST-50100929,2026-01-07T13:51:25.599491,54e59b76-fd44-4594-80ea-79833b703591,wilsonpatricia\r\n\"Certainly third year property rise world but. Operation throw law current.\nBring realize believe him\",231,8474,906,\"[\"\"#save\"\", \"\"#economy\"\"]\",instagram,POST-60695938,2026-01-07T13:51:25.599822,e583fff0-b790-400b-9f04-7c3448c1ff2b,obrewer\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output financial report as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Thompson, Yang and Roberts\"\nticker = \"ATOM\"\nquarter = \"Q1 2022\"\nrevenue = 59725729\nexpenses = 36274579\nnet_income = 7802792\neps = 8.84\n\n[metrics]\nprofit_margin = 17.46\nroe = 22.69\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-7759123\npatient_mrn: MRN-145458\nprescriber: Larry Diaz\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n- name: Lisinopril\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.54593\"\ntitle = \"Front-line web-enabled moderator\"\nabstract = \"Local civil call hear information. Medical practice bank include.\"\nkeywords = [ \"feel\", \"question\", \"each\", \"near\",]\ncitations = 278\n[[authors]]\nname = \"Alexandra Orr\"\naffiliation = \"Douglas LLC\"\nemail = \"amandaesparza@example.net\"\n\n[[authors]]\nname = \"Diana Jones\"\naffiliation = \"Morse Ltd\"\nemail = \"omar00@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.1833/TUoS\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"a016c8d2-6aba-435a-ab46-60ac8aacf0a5\",\n  \"timestamp\": \"2026-01-07T13:51:26.006823\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"currentService\",\n  \"message\": \"Well nation stay number now but.\",\n  \"stack_trace\": [\n    \"at daughter.py:364\",\n    \"at same.py:66\"\n  ],\n  \"context\": {\n    \"user_id\": \"432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5\",\n    \"request_id\": \"4ed63374-fc09-4101-b987-4a8ee575fee3\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/improve_get_parameters,paths_/improve_get_responses_200_description,paths_/improve_get_responses_400_description,paths_/improve_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Centralized web-enabled hardware API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Act attention yes herself significant recent.,,,,\r\nLeft order purpose modern good. Part bit either work magazine draw.,\"[{\"\"name\"\": \"\"Courtney Stone\"\", \"\"affiliation\"\": \"\"Rojas-Hoffman\"\", \"\"email\"\": \"\"pcunningham@example.com\"\"}, {\"\"n\",29,None,,,\"[\"\"hour\"\", \"\"issue\"\", \"\"environment\"\", \"\"drug\"\", \"\"relate\"\"]\",,arXiv:2023.70277,,,,,10.8906/jrxw,Science,2024,Enterprise-wide systematic product\r\nThough official tree term space. Development almost feeling.,\"[{\"\"name\"\": \"\"David Weaver\"\", \"\"affiliation\"\": \"\"Dunlap-Gordon\"\", \"\"email\"\": \"\"williamsonkarina@example.com\"\"}, \",341,None,,,\"[\"\"example\"\", \"\"everyone\"\", \"\"local\"\"]\",,arXiv:2024.59034,,,,,10.3725/mRXU,Nature,2023,Focused scalable encoding\r\nTry check body structure begin bit traditional executive. East beautiful bit able. Pass wind if into,\"[{\"\"name\"\": \"\"Robert Stanley\"\", \"\"affiliation\"\": \"\"Wagner-Powell\"\", \"\"email\"\": \"\"strongmadison@example.net\"\"}, {\",274,Jacobs PLC,,,\"[\"\"six\"\", \"\"great\"\", \"\"new\"\"]\",,arXiv:2024.11837,,,,,10.8256/lPXo,Cell,2021,Exclusive radical orchestration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmessage: Baby inside high our should character study quickly.\nstack_trace:\n- at standard.py:486\n- at memory.py:53\n- at team.py:342\ncontext:\n  user_id: b89e754b-fd03-47c7-9600-09a7cb6d3517\n  request_id: 0aea7b7e-f431-4209-a4db-008320d27043\ntimestamp: '2026-01-07T13:51:25.507604'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-1748125\",\n  \"headline\": \"Customizable leadingedge structure\",\n  \"author\": \"Sandra Bennett\",\n  \"published\": \"2026-01-03T22:52:42.741679\",\n  \"section\": \"Sports\",\n  \"content\": \"Majority meeting sound have week public pass. Major food relate spend seven.\\nIndeed run fund.\\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.\",\n  \"tags\": [\n    \"subject\",\n    \"attention\",\n    \"class\",\n    \"campaign\",\n    \"second\"\n  ],\n  \"views\": 63827,\n  \"shares\": 2505\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output experiment result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-956799\ntitle: Effect of town on start\nmethodology:\n  design: RCT\n  sample_size: 962\n  duration_days: 355\nresults:\n- metric: efficacy\n  baseline: 84.98\n  endpoint: 18.54\n  p_value: 0.3765\n- metric: safety\n  baseline: 50.71\n  endpoint: 79.49\n  p_value: 0.1783\n- metric: safety\n  baseline: 22.25\n  endpoint: 81.5\n  p_value: 0.0959\n- metric: efficacy\n  baseline: 53.32\n  endpoint: 58.41\n  p_value: 0.1807\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nrx_id = \"RX-4278484\"\npatient_mrn = \"MRN-990980\"\nprescriber = \"Andrew Kelly\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-4278484\npatient_mrn: MRN-990980\nprescriber: Andrew Kelly\ndate: '2026-01-06'\nmedications:\n- name: Metformin\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>234c0781-6e40-4e46-8b0d-ad1b39309eb0</error_id>\n<timestamp>2026-01-07T13:51:25.659911</timestamp>\n<level>WARNING</level>\n<service>beyondService</service>\n<message>Section material entire top community.</message>\n<stack_trace>at reason.py:320</stack_trace>\n<stack_trace>at always.py:365</stack_trace>\n<stack_trace>at red.py:27</stack_trace>\n<context>\n<user_id>6765bd92-f82e-426f-a383-fa0a088a0752</user_id>\n<request_id>4ccfb0b5-8185-4d26-902a-0379b3534400</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nperiod = \"May 2020\"\ntotal_revenue = 534039\nunits_sold = 34851\n[[channels]]\nname = \"retail\"\nrevenue = 707158\ngrowth = 43.16\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2548868\ngrowth = 26.24\n\n[[top_products]]\nsku = \"SKU-6020\"\nsales = 18280\n\n[[top_products]]\nsku = \"SKU-3349\"\nsales = 458703\n\n[[top_products]]\nsku = \"SKU-8781\"\nsales = 265385\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 707158, \"\"growth\"\": 43.16}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2548868, \"\"\",,,,,May 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-6020\"\", \"\"sales\"\": 18280}, {\"\"sku\"\": \"\"SKU-3349\"\", \"\"sales\"\": 458703}, {\"\"sku\"\": \"\"SKU-8781\"\", \"\"sal\",534039,34851\r\nAccording film TV answer religious weight. Drug very provide too work so admit. Word common trade es,\"[{\"\"name\"\": \"\"Kelly Lowe\"\", \"\"affiliation\"\": \"\"Mckenzie, Martin and Neal\"\", \"\"email\"\": \"\"jasminestevenson@examp\",,233,Osborne Ltd,\"[\"\"current\"\", \"\"program\"\", \"\"well\"\", \"\"could\"\"]\",arXiv:2024.19244,,10.2728/EPaQ,Nature,2020,Adaptive high-level matrix,,,\r\nMain father interest. Team risk whether relationship act. Site professor writer side.,\"[{\"\"name\"\": \"\"Jessica Cooper\"\", \"\"affiliation\"\": \"\"Perkins, Hughes and Carpenter\"\", \"\"email\"\": \"\"huntjohn@examp\",,403,Adams Inc,\"[\"\"agree\"\", \"\"serious\"\", \"\"phone\"\", \"\"performance\"\", \"\"last\"\"]\",arXiv:2020.96015,,10.8764/DyLh,Cell,2024,Streamlined impactful info-mediaries,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-723394\"\nname = \"Streamlined full-range ability\"\ncategory = \"clothing\"\nprice = 959.9\ncurrency = \"USD\"\nstock = 28\nis_available = true\nrating = 3.7\nreviews = 332\n\n[specs]\nweight_kg = 9.93\ndimensions = \"53x67x45cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-1812594\npatient_mrn: MRN-755137\norder_date: '2026-01-06'\npanel: CMP\nresults:\n- test: Glucose\n  value: 131.9\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 183.7\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 130.1\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 178.3\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-725280\"\ntitle = \"Effect of city on expert\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 43.19\nendpoint = 64.81\np_value = 0.4813\n\n[[results]]\nmetric = \"safety\"\nbaseline = 71.73\nendpoint = 68.14\np_value = 0.0851\n\n[[results]]\nmetric = \"safety\"\nbaseline = 77.12\nendpoint = 63.9\np_value = 0.1154\n\n[methodology]\ndesign = \"observational\"\nsample_size = 907\nduration_days = 166\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Blackwell, Simpson and Pace\",0.79,41343491,14.29,18.28,4233102,,,\r\nRoach LLC,0.85,19926582,19.64,10.37,17919974,Q1 2021,5188452,RTYA\r\nSanchez-Doyle,3.49,46313556,9.78,21.05,10999840,Q1 2022,82022215,OETN\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate: '2026-01-04'\nuser_id: d6e6e646-61a4-4af9-a9a1-d03d234244eb\ncontent: 'It herself scene five side support onto. Shake fear western believe. Say\n  fact shoulder investment television pretty suffer.\n\n  Ground listen official hand at indeed. Effort thus wife control.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-231933\nstudent_id: STU-520595\ncourse_id: CRS-9397\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 4\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 5\n  points_possible: 10\n- question: 7\n  points_earned: 4\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\n- question: 10\n  points_earned: 0\n  points_possible: 10\n- question: 11\n  points_earned: 8\n  points_possible: 10\n- question: 12\n  points_earned: 2\n  points_possible: 10\n- question: 13\n  points_earned: 4\n  points_possible: 10\n- question: 14\n  points_earned: 9\n  points_possible: 10\ntotal_score: 79\npercentage: 67.77\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"product_id\": \"PROD-308726\",\n  \"name\": \"Cross-platform client-server attitude\",\n  \"category\": \"electronics\",\n  \"price\": 875.12,\n  \"currency\": \"USD\",\n  \"stock\": 161,\n  \"is_available\": true,\n  \"rating\": 1.18,\n  \"reviews\": 705,\n  \"specs\": {\n    \"weight_kg\": 37.34,\n    \"dimensions\": \"78x81x41cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Cross-platform client-server attitude,875.12,PROD-308726,1.18,705,78x81x41cm,37.34,161\r\nclothing,USD,True,Front-line responsive access,180.26,PROD-328602,4.6,235,26x49x54cm,22.71,166\r\nelectronics,USD,True,Upgradable methodical framework,715.27,PROD-742433,3.77,956,67x98x22cm,2.65,380\r\nclothing,USD,True,Focused object-oriented monitoring,284.93,PROD-399576,4.3,858,63x31x39cm,24.02,950\r\nelectronics,USD,True,Devolved 24/7 circuit,803.8,PROD-188320,3.15,515,51x38x55cm,41.73,998\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"385c5830-2f90-42e3-ae2f-53faace4448a\",\n  \"timestamp\": \"2026-01-07T13:51:26.292009\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"almostService\",\n  \"message\": \"People party agreement mother that investment approach.\",\n  \"stack_trace\": [\n    \"at fight.py:491\",\n    \"at city.py:369\",\n    \"at statement.py:378\"\n  ],\n  \"context\": {\n    \"user_id\": \"264dfcb4-39aa-45b1-999f-d115795470f4\",\n    \"request_id\": \"4c579c9e-314d-44f6-9e5a-9c3c95ea5e82\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nproduct_id = \"PROD-524008\"\nname = \"Implemented multimedia focus group\"\ncategory = \"electronics\"\nprice = 524.9\ncurrency = \"USD\"\nstock = 714\nis_available = true\nrating = 2.56\nreviews = 633\n\n[specs]\nweight_kg = 40.1\ndimensions = \"80x44x77cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-524008\nname: Implemented multimedia focus group\ncategory: electronics\nprice: 524.9\ncurrency: USD\nstock: 714\nis_available: true\nrating: 2.56\nreviews: 633\nspecs:\n  weight_kg: 40.1\n  dimensions: 80x44x77cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-485879</assessment_id>\n<student_id>STU-284737</student_id>\n<course_id>CRS-1053</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>64.04</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-619223</contract_id>\n<parties>\n<name>Mcdaniel LLC</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Hunt-Bowman</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>21</term_months>\n<value>87478</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-619223\",\n  \"parties\": [\n    {\n      \"name\": \"Mcdaniel LLC\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Hunt-Bowman\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-03\",\n  \"term_months\": 21,\n  \"value\": 87478,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8274371\"\npatient_mrn = \"MRN-123534\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"WBC\"\nvalue = 188.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 124.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 54.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 155.2\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 111.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 108.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 194.4\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2021\ntotal_revenue: 1467254\nunits_sold: 63744\nchannels:\n- name: wholesale\n  revenue: 2975287\n  growth: -1.88\n- name: online\n  revenue: 2665464\n  growth: 14.77\ntop_products:\n- sku: SKU-1172\n  sales: 348860\n- sku: SKU-4431\n  sales: 479568\n- sku: SKU-6244\n  sales: 245719\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-2804449\",\n  \"patient\": {\n    \"mrn\": \"MRN-394213\",\n    \"age\": 73,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"162/64\",\n    \"hr\": 70,\n    \"temp_f\": 102.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2804449</note_id>\n<patient>\n<mrn>MRN-394213</mrn>\n<age>73</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>162/64</bp>\n<hr>70</hr>\n<temp_f>102.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-503362,,CRS-9952,,2026-01-01,C,,,,,94.35,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-235214,,,52,assignment\r\n,JLD273,CRS-6723,4,,,40,30,30,John Holt,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"carry\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"when\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ask\"\"}, {\"\"week\"\": \",,,Spring 2022,Devolved holistic product 101,,\r\n,ANZ278,CRS-1576,4,,,40,30,30,Kaitlyn Brown,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"cover\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"success\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"compare\"\"}, {\"\"\",,,Fall 2021,Organic even-keeled hub 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output course syllabus as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-2063\",\n  \"code\": \"FAH301\",\n  \"title\": \"Ameliorated zero administration productivity 101\",\n  \"instructor\": \"Aaron Bailey\",\n  \"credits\": 4,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"health\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"buy\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"conference\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"late\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"fear\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"ability\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"control\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"social\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.54834\",\n  \"title\": \"Profit-focused radical throughput\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Dunlap\",\n      \"affiliation\": \"Daniels PLC\",\n      \"email\": \"williamssheri@example.com\"\n    },\n    {\n      \"name\": \"Shawn Payne\",\n      \"affiliation\": \"Dorsey, Price and Burns\",\n      \"email\": \"smoyer@example.net\"\n    },\n    {\n      \"name\": \"Chase Lee\",\n      \"affiliation\": \"Garcia Inc\",\n      \"email\": \"burgesssarah@example.org\"\n    }\n  ],\n  \"abstract\": \"Read deal buy final thus. Sure home game rest lose.\\nThose any reality if teach.\\nMain never still little study clearly today.\",\n  \"keywords\": [\n    \"measure\",\n    \"stage\",\n    \"scene\",\n    \"reason\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2020,\n    \"doi\": \"10.8776/UhOT\"\n  },\n  \"citations\": 388,\n  \"funding_source\": \"Reese-Perez\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Eaton, Mccarty and Lopez\",\n  \"ticker\": \"OWKB\",\n  \"quarter\": \"Q3 2021\",\n  \"revenue\": 46227283,\n  \"expenses\": 75330506,\n  \"net_income\": 13309525,\n  \"eps\": 4.82,\n  \"metrics\": {\n    \"profit_margin\": 29.61,\n    \"roe\": 8.93\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Eaton, Mccarty and Lopez</company>\n<ticker>OWKB</ticker>\n<quarter>Q3 2021</quarter>\n<revenue>46227283</revenue>\n<expenses>75330506</expenses>\n<net_income>13309525</net_income>\n<eps>4.82</eps>\n<metrics>\n<profit_margin>29.61</profit_margin>\n<roe>8.93</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/peace_get_parameters,paths_/peace_get_responses_200_description,paths_/peace_get_responses_400_description,paths_/peace_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Face-to-face zero administration application API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Feel piece low way effort action bag.,,,,\r\nLast truth number. Most attorney training little should radio.,\"[{\"\"name\"\": \"\"Lisa Ellis\"\", \"\"affiliation\"\": \"\"Castillo LLC\"\", \"\"email\"\": \"\"andrewsexton@example.net\"\"}, {\"\"name\"\"\",158,None,,,\"[\"\"forget\"\", \"\"ten\"\", \"\"entire\"\", \"\"fire\"\", \"\"music\"\"]\",,arXiv:2020.71057,,,,,10.1090/ndVl,Science,2024,Customer-focused non-volatile firmware\r\n\"Break choose face management piece prevent season.\nThroughout truth part fire. Give door any result \",\"[{\"\"name\"\": \"\"Jose Smith\"\", \"\"affiliation\"\": \"\"Martinez Inc\"\", \"\"email\"\": \"\"anna77@example.com\"\"}, {\"\"name\"\": \"\"Mat\",410,None,,,\"[\"\"ball\"\", \"\"head\"\", \"\"amount\"\"]\",,arXiv:2024.37958,,,,,10.7834/fcGJ,Cell,2024,User-friendly multimedia approach\r\nBuild adult sport morning question because either. Work hear teacher share hand relationship.,\"[{\"\"name\"\": \"\"Sherri Cruz\"\", \"\"affiliation\"\": \"\"Taylor PLC\"\", \"\"email\"\": \"\"jesusandrews@example.net\"\"}, {\"\"name\"\":\",85,Schneider-Parker,,,\"[\"\"husband\"\", \"\"national\"\", \"\"nation\"\", \"\"cost\"\"]\",,arXiv:2024.77366,,,,,10.6708/WThK,Science,2022,Innovative 4thgeneration neural-net\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nterm_months: 34\nparties:\n- name: Garza-Henson\n  role: party_a\n- name: Griffin-Weaver\n  role: party_b\nstatus: executed\neffective_date: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.99214\ntitle: Integrated mobile database\nauthors:\n- name: Clayton Martinez\n  affiliation: Flores, Levy and Farmer\n  email: kathy80@example.org\n- name: Susan Bennett\n  affiliation: Collins, Daniel and Lyons\n  email: shawnjefferson@example.org\nabstract: Full with spend role first drive. Want man instead today bed hand character.\nkeywords:\n- bed\n- very\n- population\npublication:\n  venue: Nature\n  year: 2023\n  doi: 10.4640/CkqB\ncitations: 395\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Organic analyzing strategy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/similar\": {\n      \"get\": {\n        \"summary\": \"Natural see lot recently.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Streamlined full-range ability,959.9,PROD-723394,3.7,332,53x67x45cm,9.93,28\r\nelectronics,USD,True,Expanded bottom-line model,840.7,PROD-698040,4.22,190,74x95x57cm,3.34,783\r\nbooks,USD,True,De-engineered 5thgeneration complexity,615.54,PROD-690887,3.16,360,17x21x44cm,25.36,224\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nLeon-Lewis,7.9,46362888,25.04,5.27,14538939,Q4 2022,56885685,FGCI\r\n\"Acevedo, Robinson and Moreno\",9.4,4293889,17.95,16.33,19555518,Q1 2022,38744580,QCJP\r\n\"Hernandez, Ellis and Glover\",6.4,72656211,21.06,22.29,19183103,Q4 2021,55207114,TJLJ\r\nGonzalez Group,2.8,58785763,11.64,10.65,5236675,Q4 2022,44394829,YPUD\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-85338602</txn_id>\n<customer_id>ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3</customer_id>\n<timestamp>2026-01-07T13:51:25.620781</timestamp>\n<items>\n<sku>SKU-22630</sku>\n<qty>3</qty>\n<price>89.97</price>\n</items>\n<subtotal>468.67</subtotal>\n<tax>148.91</tax>\n<total>792.01</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-85338602\",\n  \"customer_id\": \"ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\",\n  \"timestamp\": \"2026-01-07T13:51:25.620781\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-22630\",\n      \"qty\": 3,\n      \"price\": 89.97\n    }\n  ],\n  \"subtotal\": 468.67,\n  \"tax\": 148.91,\n  \"total\": 792.01,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Becker-Martinez\"\nticker = \"QZXR\"\nquarter = \"Q4 2021\"\nrevenue = 48919598\nexpenses = 50274851\nnet_income = 7284021\neps = 2.39\n\n[metrics]\nprofit_margin = 17.0\nroe = 10.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-554535</assessment_id>\n<student_id>STU-693793</student_id>\n<course_id>CRS-9992</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>86</total_score>\n<percentage>63.99</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from CSV to XML:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKDS432,CRS-9456,3,40,30,30,Kenneth Rogers,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"activity\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"foot\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"reason\"\"}, {\"\"w\",Fall 2020,Multi-channeled local complexity 101\r\nKXW117,CRS-6421,3,40,30,30,Shelley Scott,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"specific\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"well\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"wrong\"\"}, {\"\"we\",Fall 2020,Enterprise-wide 5thgeneration strategy 101\r\nNFV230,CRS-2609,3,40,30,30,Ashley Mccullough,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"such\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"bar\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"task\"\"}, {\"\"week\"\": 4\",Fall 2022,Cross-group non-volatile conglomeration 101\r\nSEY107,CRS-7967,3,40,30,30,Shane Smith,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"eight\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"material\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"site\"\"}, {\"\"we\",Fall 2023,Managed executive project 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9456</course_id>\n<code>KDS432</code>\n<title>Multi-channeled local complexity 101</title>\n<instructor>Kenneth Rogers</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>activity</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>foot</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>reason</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rule</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>paper</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>current</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>scene</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>choice</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>box</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67735</paper_id>\n<title>Optimized even-keeled conglomeration</title>\n<authors>\n<name>Garrett Contreras</name>\n<affiliation>Drake-Dunn</affiliation>\n<email>sandrapineda@example.net</email>\n</authors>\n<authors>\n<name>Ryan Bell</name>\n<affiliation>Ramos, Gates and Reed</affiliation>\n<email>kdavis@example.net</email>\n</authors>\n<authors>\n<name>Cindy Silva</name>\n<affiliation>Bryant, Pratt and Henderson</affiliation>\n<email>fmiller@example.net</email>\n</authors>\n<abstract>Sort suffer stand purpose six resource. Forward hard officer film the word human first.</abstract>\n<keywords>attack</keywords>\n<keywords>not</keywords>\n<keywords>describe</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.7544/lKSL</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Wood, Baldwin and Cain</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.67735\",\n  \"title\": \"Optimized even-keeled conglomeration\",\n  \"authors\": [\n    {\n      \"name\": \"Garrett Contreras\",\n      \"affiliation\": \"Drake-Dunn\",\n      \"email\": \"sandrapineda@example.net\"\n    },\n    {\n      \"name\": \"Ryan Bell\",\n      \"affiliation\": \"Ramos, Gates and Reed\",\n      \"email\": \"kdavis@example.net\"\n    },\n    {\n      \"name\": \"Cindy Silva\",\n      \"affiliation\": \"Bryant, Pratt and Henderson\",\n      \"email\": \"fmiller@example.net\"\n    }\n  ],\n  \"abstract\": \"Sort suffer stand purpose six resource. Forward hard officer film the word human first.\",\n  \"keywords\": [\n    \"attack\",\n    \"not\",\n    \"describe\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.7544/lKSL\"\n  },\n  \"citations\": 172,\n  \"funding_source\": \"Wood, Baldwin and Cain\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-173345,RCT,264,849,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 88.4, \"\"endpoint\"\": 29.84, \"\"p_value\"\": 0.0809}, {\"\"metric\"\": \"\"efficac\",Effect of state on or\r\nsignificant,EXP-921035,observational,239,934,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 10.72, \"\"endpoint\"\": 31.85, \"\"p_value\"\": 0.2087}, {\"\"metric\"\": \"\"efficacy\",Effect of since on former\r\nsignificant,EXP-327498,RCT,100,461,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 55.07, \"\"endpoint\"\": 42.09, \"\"p_value\"\": 0.2597}, {\"\"metric\"\": \"\"safety\"\",\",Effect of young on nice\r\nnon-significant,EXP-628330,RCT,162,183,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 72.42, \"\"endpoint\"\": 92.17, \"\"p_value\"\": 0.1224}, {\"\"metric\"\": \"\"safety\"\",\",Effect of store on course\r\nsignificant,EXP-321187,observational,169,332,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 54.85, \"\"endpoint\"\": 76.21, \"\"p_value\"\": 0.1253}, {\"\"metric\"\": \"\"effica\",Effect of threat on thank\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-8221745\"\nheadline = \"Polarized zero administration support\"\nauthor = \"Maria Johnson\"\npublished = \"2026-01-03T08:37:58.870132\"\nsection = \"Business\"\ncontent = \"Would movement white military what them cup. Available remember control staff. None mean hundred PM.\\nImprove wear produce price according. He method market computer TV strategy.\\nBody into language. Which other hear they look some option.\"\ntags = [ \"environment\", \"name\", \"receive\", \"happen\", \"join\",]\nviews = 46852\nshares = 763\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2023.54834\",\n  \"title\": \"Profit-focused radical throughput\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Dunlap\",\n      \"affiliation\": \"Daniels PLC\",\n      \"email\": \"williamssheri@example.com\"\n    },\n    {\n      \"name\": \"Shawn Payne\",\n      \"affiliation\": \"Dorsey, Price and Burns\",\n      \"email\": \"smoyer@example.net\"\n    },\n    {\n      \"name\": \"Chase Lee\",\n      \"affiliation\": \"Garcia Inc\",\n      \"email\": \"burgesssarah@example.org\"\n    }\n  ],\n  \"abstract\": \"Read deal buy final thus. Sure home game rest lose.\\nThose any reality if teach.\\nMain never still little study clearly today.\",\n  \"keywords\": [\n    \"measure\",\n    \"stage\",\n    \"scene\",\n    \"reason\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2020,\n    \"doi\": \"10.8776/UhOT\"\n  },\n  \"citations\": 388,\n  \"funding_source\": \"Reese-Perez\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.54834</paper_id>\n<title>Profit-focused radical throughput</title>\n<authors>\n<name>Scott Dunlap</name>\n<affiliation>Daniels PLC</affiliation>\n<email>williamssheri@example.com</email>\n</authors>\n<authors>\n<name>Shawn Payne</name>\n<affiliation>Dorsey, Price and Burns</affiliation>\n<email>smoyer@example.net</email>\n</authors>\n<authors>\n<name>Chase Lee</name>\n<affiliation>Garcia Inc</affiliation>\n<email>burgesssarah@example.org</email>\n</authors>\n<abstract>Read deal buy final thus. Sure home game rest lose.\nThose any reality if teach.\nMain never still little study clearly today.</abstract>\n<keywords>measure</keywords>\n<keywords>stage</keywords>\n<keywords>scene</keywords>\n<keywords>reason</keywords>\n<publication>\n<venue>Science</venue>\n<year>2020</year>\n<doi>10.8776/UhOT</doi>\n</publication>\n<citations>388</citations>\n<funding_source>Reese-Perez</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"April 2020\",\n  \"total_revenue\": 1914989,\n  \"units_sold\": 47758,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3617590,\n      \"growth\": 20.48\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 654207,\n      \"growth\": 24.4\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4328\",\n      \"sales\": 466200\n    },\n    {\n      \"sku\": \"SKU-2589\",\n      \"sales\": 244105\n    },\n    {\n      \"sku\": \"SKU-7725\",\n      \"sales\": 25778\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,category,citations,funding_source,is_available,keywords,paper_id,publication_doi,publication_venue,publication_year,reviews,specs_dimensions,specs_weight_kg,stock,title\r\n,,books,,,True,,,,,,730,46x21x76cm,7.36,824,\r\nSeek nearly give such rate surface. Difficult some although gun remain share should.,\"[{\"\"name\"\": \"\"Andrew Phillips\"\", \"\"affiliation\"\": \"\"Marquez-Smith\"\", \"\"email\"\": \"\"acarter@example.com\"\"}, {\"\"name\",,262,None,,\"[\"\"really\"\", \"\"remain\"\", \"\"represent\"\"]\",arXiv:2023.43790,10.9209/jvGr,Science,2021,,,,,Cross-group grid-enabled methodology\r\nArt garden weight summer future could watch. Prove strategy according above throw. Ahead black house,\"[{\"\"name\"\": \"\"John Riley\"\", \"\"affiliation\"\": \"\"Scott and Sons\"\", \"\"email\"\": \"\"jamieweber@example.org\"\"}, {\"\"name\"\"\",,43,\"Hopkins, Arnold and Williams\",,\"[\"\"happy\"\", \"\"model\"\", \"\"like\"\", \"\"front\"\"]\",arXiv:2022.44682,10.9524/rtBk,Cell,2020,,,,,Front-line human-resource paradigm\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3617590, \"\"growth\"\": 20.48}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 654207, \"\"\",,,,,April 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-4328\"\", \"\"sales\"\": 466200}, {\"\"sku\"\": \"\"SKU-2589\"\", \"\"sales\"\": 244105}, {\"\"sku\"\": \"\"SKU-7725\"\", \"\"sa\",1914989,47758\r\nMemory card policy each cell song anyone. When thousand service step require wonder.,\"[{\"\"name\"\": \"\"Krystal Dunn\"\", \"\"affiliation\"\": \"\"Howard-Hall\"\", \"\"email\"\": \"\"hooversarah@example.net\"\"}, {\"\"name\"\"\",,52,None,\"[\"\"rock\"\", \"\"movement\"\", \"\"health\"\", \"\"language\"\"]\",arXiv:2021.96547,,10.8169/sVCB,Cell,2023,Devolved incremental initiative,,,\r\n\"Item process seven politics rate. Ever sign many.\nPainting let own reduce. Least call or city. Rule \",\"[{\"\"name\"\": \"\"Richard Moss\"\", \"\"affiliation\"\": \"\"Martin-Smith\"\", \"\"email\"\": \"\"amberthomas@example.org\"\"}, {\"\"name\",,283,None,\"[\"\"her\"\", \"\"edge\"\", \"\"away\"\"]\",arXiv:2020.78162,,10.4210/Zwmx,Cell,2022,Inverse background encoding,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"March 2024\"\ntotal_revenue = 2433324\nunits_sold = 8686\n[[channels]]\nname = \"online\"\nrevenue = 3952303\ngrowth = 2.75\n\n[[channels]]\nname = \"retail\"\nrevenue = 3970412\ngrowth = 12.57\n\n[[top_products]]\nsku = \"SKU-2514\"\nsales = 485558\n\n[[top_products]]\nsku = \"SKU-5241\"\nsales = 142515\n\n[[top_products]]\nsku = \"SKU-4600\"\nsales = 420300\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 40.85\nendpoint = 40.08\np_value = 0.4196\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 82.87\nendpoint = 28.4\np_value = 0.208\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 74.0\nendpoint = 18.43\np_value = 0.3638\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 50.48\nendpoint = 15.59\np_value = 0.1146\n\n[methodology]\ndesign = \"observational\"\nsample_size = 351\nduration_days = 339\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Suffer modern real water yard discover. Tonight artist this letter last.\nLawyer resource forward art\",,2026-01-02,2,,,,PROD-798159,4,REV-8399257,,,,,Social serve give learn they quality.,18b14e7b-57a6-4bdf-a123-3649fd07c96e,False\r\nclothing,,USD,,,True,Organic interactive moderator,672.62,PROD-891839,3.19,,720,14x88x39cm,14.41,528,,,\r\nclothing,,USD,,,True,Realigned user-facing forecast,320.52,PROD-611425,2.64,,352,39x32x21cm,45.9,233,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninfo:\n  title: Object-based multimedia secured line API\n  version: 1.0.0\nopenapi: 3.0.0\npaths:\n  /party:\n    get:\n      summary: Discussion partner stay wear again.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<term_months>34</term_months>\n<parties>\n<name>Garza-Henson</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Griffin-Weaver</name>\n<role>party_b</role>\n</parties>\n<status>executed</status>\n<effective_date>2026-01-01</effective_date>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"term_months\": 34,\n  \"parties\": [\n    {\n      \"name\": \"Garza-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Griffin-Weaver\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"status\": \"executed\",\n  \"effective_date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d</error_id>\n<timestamp>2026-01-07T13:51:27.288021</timestamp>\n<level>CRITICAL</level>\n<service>reasonService</service>\n<message>Recent security meet three Congress find seat.</message>\n<stack_trace>at current.py:236</stack_trace>\n<stack_trace>at your.py:146</stack_trace>\n<stack_trace>at without.py:194</stack_trace>\n<context>\n<user_id>fc408ea4-9df4-4d81-87da-9d63d4bc8744</user_id>\n<request_id>d8c95012-b6bb-42d7-8cb4-e57e77353a5b</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Sharable solution-oriented migration API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</anything>\n<get>\n<summary>Those all evidence respond she listen.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//anything>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Sharable solution-oriented migration API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/anything\": {\n      \"get\": {\n        \"summary\": \"Those all evidence respond she listen.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-313579,2026-01-01,\"[{\"\"name\"\": \"\"Roberts, Newton and Ortiz\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Garcia PLC\"\", \"\"role\"\": \"\"party_b\"\"}\",active,55,108642\r\nCTR-855888,2026-01-01,\"[{\"\"name\"\": \"\"Ross Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Yoder Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,14,586632\r\nCTR-347172,2026-01-03,\"[{\"\"name\"\": \"\"Smith-Odom\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mathews Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,50,144378\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-313579</contract_id>\n<parties>\n<name>Roberts, Newton and Ortiz</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Garcia PLC</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>55</term_months>\n<value>108642</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need experiment result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-401481\"\ntitle = \"Effect of area on general\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 32.8\nendpoint = 78.56\np_value = 0.2947\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 98.07\nendpoint = 94.73\np_value = 0.4856\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 923\nduration_days = 303\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.31964\"\ntitle = \"Optimized solution-oriented success\"\nabstract = \"Price while never. Night great must well remain. Share less reveal often.\"\nkeywords = [ \"less\", \"radio\", \"spend\", \"which\",]\ncitations = 155\n[[authors]]\nname = \"Meagan Sutton\"\naffiliation = \"Williamson, Mitchell and Smith\"\nemail = \"davilabridget@example.com\"\n\n[[authors]]\nname = \"William Gross\"\naffiliation = \"Miller and Sons\"\nemail = \"linda03@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2023\ndoi = \"10.4651/vEqE\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-458464</assessment_id>\n<student_id>STU-453066</student_id>\n<course_id>CRS-7675</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>67</total_score>\n<percentage>65.79</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-458464\",\n  \"student_id\": \"STU-453066\",\n  \"course_id\": \"CRS-7675\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 67,\n  \"percentage\": 65.79,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-59995807\"\ncustomer_id = \"0d66cadd-c42f-4e9b-ae40-46d71f47623d\"\ntimestamp = \"2026-01-07T13:51:27.084892\"\nsubtotal = 1600.85\ntax = 34.84\ntotal = 602.79\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-83766\"\nqty = 4\nprice = 55.35\n\n[[items]]\nsku = \"SKU-77209\"\nqty = 2\nprice = 217.97\n\n[[items]]\nsku = \"SKU-11210\"\nqty = 5\nprice = 436.04\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nSubject watch side owner new. Quality million clear hand clearly environmental. Forget face machine ,152,5322,327,\"[\"\"#plan\"\", \"\"#area\"\", \"\"#foreign\"\"]\",facebook,POST-93814090,2026-01-07T13:51:26.454281,6a4446e9-5537-4ba1-bf03-5db2d36e07b9,tonyaguzman\r\n\"Should skill and raise never. Figure region that.\nImpact necessary throughout wide. Make level custo\",416,5986,378,\"[\"\"#trade\"\", \"\"#defense\"\", \"\"#process\"\", \"\"#PM\"\"]\",facebook,POST-98792445,2026-01-07T13:51:26.455878,c13956c2-5a2b-4dc6-bf5b-d03a07afb919,joshuabarton\r\nKitchen opportunity end such best camera. Whatever produce moment toward attack. High pattern indivi,115,8204,391,\"[\"\"#service\"\", \"\"#simply\"\"]\",instagram,POST-93506543,2026-01-07T13:51:26.456284,eca0fb16-e50c-4b56-93e4-64009a08f621,johnsonclaudia\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-4067367\nheadline: Polarized human-resource adapter\nauthor: Kristin Larson\npublished: '2026-01-07T00:05:34.405255'\nsection: Business\ncontent: 'Ahead effort author use. Unit together series provide arrive country off.\n  Whether let thought down.\n\n  Eight audience power analysis. Age hope leader yeah without. Experience kitchen\n  heart city.'\ntags:\n- program\n- final\n- computer\n- live\nviews: 74807\nshares: 3986\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-18209344</post_id>\n<platform>facebook</platform>\n<user_id>8880ae5d-22ce-466e-ac5d-224201417b5e</user_id>\n<username>xmcbride</username>\n<content>Determine live compare center as direction. Eye experience low wear. If south level.\nWorry expect style camera. Scene majority pay voice television professor.</content>\n<timestamp>2026-01-07T13:51:27.602464</timestamp>\n<hashtags>#culture</hashtags>\n<hashtags>#whole</hashtags>\n<hashtags>#central</hashtags>\n<engagement>\n<likes>2214</likes>\n<shares>878</shares>\n<comments>146</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-18209344\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"8880ae5d-22ce-466e-ac5d-224201417b5e\",\n  \"username\": \"xmcbride\",\n  \"content\": \"Determine live compare center as direction. Eye experience low wear. If south level.\\nWorry expect style camera. Scene majority pay voice television professor.\",\n  \"timestamp\": \"2026-01-07T13:51:27.602464\",\n  \"hashtags\": [\n    \"#culture\",\n    \"#whole\",\n    \"#central\"\n  ],\n  \"engagement\": {\n    \"likes\": 2214,\n    \"shares\": 878,\n    \"comments\": 146\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-5347545\"\nheadline = \"Triple-buffered zero administration algorithm\"\nauthor = \"Martha Brown\"\npublished = \"2026-01-05T16:28:34.342789\"\nsection = \"Sports\"\ncontent = \"Have fall sing then fast research break. Bar ready eye medical school might recognize. Nice sometimes impact point white.\\nTake many this never ever trip. Specific call according. We argue person federal central each.\"\ntags = [ \"line\", \"true\", \"compare\", \"for\",]\nviews = 96946\nshares = 1479\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-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.\n\n  Culture kitchen run first would. Agency media particularly past office every.\n\n  Bag water address admit. Skin tend Mr significant dark pretty. Painting water campaign.'\ntags:\n- involve\n- service\n- along\n- stand\nviews: 7987\nshares: 4175\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4164</course_id>\n<code>RVR286</code>\n<title>Team-oriented incremental info-mediaries 101</title>\n<instructor>Shannon Miller</instructor>\n<credits>3</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>stuff</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>professional</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>hard</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>lawyer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>camera</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>focus</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>spend</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>quickly</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-4164\ncode: RVR286\ntitle: Team-oriented incremental info-mediaries 101\ninstructor: Shannon Miller\ncredits: 3\nterm: Fall 2023\nschedule:\n- week: 1\n  topic: stuff\n- week: 2\n  topic: professional\n- week: 3\n  topic: hard\n- week: 4\n  topic: rather\n- week: 5\n  topic: lawyer\n- week: 6\n  topic: camera\n- week: 7\n  topic: focus\n- week: 8\n  topic: spend\n- week: 9\n  topic: couple\n- week: 10\n  topic: quickly\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-324198</contract_id>\n<parties>\n<name>Alvarado-Barnes</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Lopez, Price and Melendez</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>34</term_months>\n<value>725205</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-324198\",\n  \"parties\": [\n    {\n      \"name\": \"Alvarado-Barnes\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Lopez, Price and Melendez\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 34,\n  \"value\": 725205,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nreview_id: REV-4787173\nproduct_id: PROD-746934\nuser_id: a1638e54-91af-4e5f-be10-465327f3fbf6\nrating: 4\ntitle: Rock company surface either million.\ncontent: Suddenly plant stay thank project hand me. Commercial his road carry training\n  trip.\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 3\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Suddenly plant stay thank project hand me. Commercial his road carry training trip.,,2026-01-02,3,,,,PROD-746934,4,REV-4787173,,,,,Rock company surface either million.,a1638e54-91af-4e5f-be10-465327f3fbf6,True\r\nelectronics,,USD,,,True,Reverse-engineered heuristic Graphic Interface,402.12,PROD-773869,1.81,,452,55x82x22cm,47.84,119,,,\r\nbooks,,USD,,,True,Pre-emptive context-sensitive capability,996.67,PROD-767618,4.94,,641,31x72x14cm,49.43,912,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-49469407</post_id>\n<platform>instagram</platform>\n<user_id>c776cd7c-2538-4c81-83c8-03afd724bed1</user_id>\n<username>donald18</username>\n<content>Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.</content>\n<timestamp>2026-01-07T13:51:26.031233</timestamp>\n<hashtags>#daughter</hashtags>\n<hashtags>#after</hashtags>\n<hashtags>#affect</hashtags>\n<hashtags>#goal</hashtags>\n<engagement>\n<likes>2564</likes>\n<shares>187</shares>\n<comments>95</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-49469407\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"c776cd7c-2538-4c81-83c8-03afd724bed1\",\n  \"username\": \"donald18\",\n  \"content\": \"Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.\",\n  \"timestamp\": \"2026-01-07T13:51:26.031233\",\n  \"hashtags\": [\n    \"#daughter\",\n    \"#after\",\n    \"#affect\",\n    \"#goal\"\n  ],\n  \"engagement\": {\n    \"likes\": 2564,\n    \"shares\": 187,\n    \"comments\": 95\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\ntimestamp: '2026-01-07T13:51:26.554266'\nlevel: ERROR\nservice: heartService\nmessage: Attack candidate in give wish tree.\nstack_trace:\n- at thousand.py:354\n- at forget.py:20\n- at consider.py:392\ncontext:\n  user_id: d753ac0c-8931-4c37-8bd5-01413aaaba41\n  request_id: b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following TOML to JSON:\nnote_id = \"CN-4441974\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J60\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I21\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K16\"\n\n[patient]\nmrn = \"MRN-925906\"\nage = 60\ngender = \"F\"\n\n[vitals]\nbp = \"154/95\"\nhr = 108\ntemp_f = 97.8\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4441974\",\n  \"patient\": {\n    \"mrn\": \"MRN-925906\",\n    \"age\": 60,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"154/95\",\n    \"hr\": 108,\n    \"temp_f\": 97.8\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I21\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K16\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2516539\"\npatient_mrn = \"MRN-808236\"\norder_date = \"2026-01-01\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 81.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 91.0\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 121.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 111.2\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 88.2\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-948175</assessment_id>\n<student_id>STU-160858</student_id>\n<course_id>CRS-5368</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>96.29</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-948175\"\nstudent_id = \"STU-160858\"\ncourse_id = \"CRS-5368\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 89\npercentage = 96.29\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"91d16731-5e7b-4a47-8285-7a54d79d3b76\",\n  \"timestamp\": \"2026-01-07T13:51:25.635487\",\n  \"level\": \"WARNING\",\n  \"service\": \"AmericanService\",\n  \"message\": \"Drug sell certainly major total.\",\n  \"stack_trace\": [\n    \"at although.py:151\",\n    \"at mission.py:443\"\n  ],\n  \"context\": {\n    \"user_id\": \"11d85442-7276-4e30-9249-06df8089bd39\",\n    \"request_id\": \"f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntotal_revenue = 6798538\n[[channels]]\nname = \"online\"\nrevenue = 2139770\ngrowth = -9.99\n\n[[channels]]\nname = \"retail\"\nrevenue = 1809716\ngrowth = 7.01\n\n[[top_products]]\nsku = \"SKU-3049\"\nsales = 22854\n\n[[top_products]]\nsku = \"SKU-5505\"\nsales = 203281\n\n[[top_products]]\nsku = \"SKU-9853\"\nsales = 260538\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-3305496\npatient_mrn: MRN-551064\nprescriber: Eric Jackson\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nassessment_id = \"ASMT-946690\"\nstudent_id = \"STU-268675\"\ncourse_id = \"CRS-1216\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 81\npercentage = 50.49\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 2\npoints_possible = 10\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-946690,,CRS-1216,,2026-01-01,B,,,,,50.49,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 10, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"p\",STU-268675,,,81,assignment\r\n,UNR189,CRS-6658,4,,,40,30,30,Mr. Tyler Roach,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"pass\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"road\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"if\"\"}, {\"\"week\"\": 4,\",,,Spring 2022,Phased high-level throughput 101,,\r\n,OOA488,CRS-9526,4,,,40,30,30,Eric Robinson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"side\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"final\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"others\"\"}, {\"\"week\",,,Spring 2024,Secured system-worthy software 101,,\r\n,BAA477,CRS-8756,4,,,40,30,30,Theresa Farrell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"politics\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"be\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"security\"\"}, {\"\"w\",,,Spring 2020,Reduced client-server algorithm 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-4278484</rx_id>\n<patient_mrn>MRN-990980</patient_mrn>\n<prescriber>Andrew Kelly</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-4278484\",\n  \"patient_mrn\": \"MRN-990980\",\n  \"prescriber\": \"Andrew Kelly\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\npost_id: POST-33796851\nplatform: instagram\nuser_id: aa32cdd3-72c6-4e38-bd5e-ff3918321d73\nusername: qtownsend\ncontent: List floor whatever fly. Play represent five my. Stuff area push other begin\n  team. Wind leg require represent.\ntimestamp: '2026-01-07T13:51:26.038556'\nhashtags:\n- '#study'\n- '#able'\n- '#week'\nengagement:\n  likes: 3006\n  shares: 53\n  comments: 61\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-33796851\"\nplatform = \"instagram\"\nuser_id = \"aa32cdd3-72c6-4e38-bd5e-ff3918321d73\"\nusername = \"qtownsend\"\ncontent = \"List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.\"\ntimestamp = \"2026-01-07T13:51:26.038556\"\nhashtags = [ \"#study\", \"#able\", \"#week\",]\n\n[engagement]\nlikes = 3006\nshares = 53\ncomments = 61\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3622404, \"\"growth\"\": -8.05}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1893923, \",,,,,January 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-2073\"\", \"\"sales\"\": 98550}, {\"\"sku\"\": \"\"SKU-3707\"\", \"\"sales\"\": 233488}, {\"\"sku\"\": \"\"SKU-7843\"\", \"\"sal\",7456708,82349\r\nOur large outside guess American fill leave. Nation cost who fish message road. Share learn our choo,\"[{\"\"name\"\": \"\"Steven Mccall\"\", \"\"affiliation\"\": \"\"Miller-Hart\"\", \"\"email\"\": \"\"xbeck@example.org\"\"}, {\"\"name\"\": \"\"Jo\",,80,Lane-Cooper,\"[\"\"allow\"\", \"\"agent\"\", \"\"industry\"\", \"\"not\"\", \"\"agency\"\"]\",arXiv:2021.21546,,10.8747/ADMz,Nature,2021,Pre-emptive responsive strategy,,,\r\n\"Such save oil strong town. Response hand since industry agree type job.\nEnjoy program per like may. \",\"[{\"\"name\"\": \"\"Andrew Krueger\"\", \"\"affiliation\"\": \"\"Doyle-Horton\"\", \"\"email\"\": \"\"zcole@example.com\"\"}, {\"\"name\"\": \"\"\",,116,None,\"[\"\"six\"\", \"\"positive\"\", \"\"cup\"\", \"\"might\"\"]\",arXiv:2023.52285,,10.5257/sCTQ,Science,2021,Team-oriented foreground access,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-66277640\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"7e83a029-16e2-49ad-a855-906c882abe46\",\n  \"username\": \"reynoldstaylor\",\n  \"content\": \"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.\",\n  \"timestamp\": \"2026-01-07T13:51:26.676406\",\n  \"hashtags\": [\n    \"#case\",\n    \"#along\",\n    \"#only\",\n    \"#have\"\n  ],\n  \"engagement\": {\n    \"likes\": 9942,\n    \"shares\": 119,\n    \"comments\": 368\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3990665</result_id>\n<patient_mrn>MRN-508219</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>80.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>90.9</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>138.0</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>151.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>188.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-5973418\npatient_mrn: MRN-615844\nprescriber: Brian Erickson\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate error log data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"3ee04eb7-6a96-4708-8070-7816402d081f\",\n  \"timestamp\": \"2026-01-07T13:51:26.236854\",\n  \"level\": \"ERROR\",\n  \"service\": \"checkService\",\n  \"message\": \"Base information cell production decade back.\",\n  \"stack_trace\": [\n    \"at quality.py:463\",\n    \"at but.py:317\"\n  ],\n  \"context\": {\n    \"user_id\": \"9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\",\n    \"request_id\": \"f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-4911961\"\npatient_mrn = \"MRN-250544\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 121.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 77.4\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 107.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 172.8\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 166.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 140.6\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 120.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-301169\ntitle: Effect of walk on positive\nmethodology:\n  design: RCT\n  sample_size: 435\n  duration_days: 183\nresults:\n- metric: safety\n  baseline: 26.1\n  endpoint: 96.19\n  p_value: 0.495\n- metric: efficacy\n  baseline: 64.91\n  endpoint: 99.15\n  p_value: 0.2035\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,ca5ac3bd-9fe7-4112-a928-203e522e958f,4ac8ea49-fb7c-44f9-bb01-ced755fa7cf8,0340ba39-8675-4ce7-a26c-314daf9a59fe,,,ERROR,Purpose remain usually report.,,,,,goodService,\"[\"\"at discuss.py:192\"\", \"\"at artist.py:381\"\", \"\"at safe.py:391\"\", \"\"at course.py:266\"\"]\",2026-01-06T09:43:32.633543,\r\nYard available yeah agreement. Surface about paper if little agree serve. Same cost dinner.,\"[{\"\"name\"\": \"\"Stephanie Gardner\"\", \"\"affiliation\"\": \"\"Beasley-Smith\"\", \"\"email\"\": \"\"murphymark@example.net\"\"}, {\",117,,,,None,\"[\"\"run\"\", \"\"issue\"\", \"\"least\"\"]\",,,arXiv:2024.54088,10.7124/uSVq,Cell,2020,,,,Organic stable intranet\r\n\"Against thank share.\nStudent a market tell realize clear. Vote son throw whatever.\",\"[{\"\"name\"\": \"\"Sean Martin\"\", \"\"affiliation\"\": \"\"Lara-Atkinson\"\", \"\"email\"\": \"\"bethanyhaley@example.com\"\"}, {\"\"nam\",117,,,,None,\"[\"\"company\"\", \"\"spring\"\", \"\"who\"\", \"\"over\"\"]\",,,arXiv:2023.45991,10.5713/UZFi,Cell,2023,,,,Total content-based Local Area Network\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-125540\nname: Universal eco-centric approach\ncategory: books\nprice: 208.68\ncurrency: USD\nstock: 879\nis_available: true\nrating: 4.53\nreviews: 925\nspecs:\n  weight_kg: 20.35\n  dimensions: 45x91x83cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.47681</paper_id>\n<title>Devolved bi-directional info-mediaries</title>\n<authors>\n<name>Christian Randolph</name>\n<affiliation>Hunt-Haynes</affiliation>\n<email>patrickmaddox@example.net</email>\n</authors>\n<authors>\n<name>Allen Lewis</name>\n<affiliation>Owen PLC</affiliation>\n<email>alexanderhenry@example.net</email>\n</authors>\n<authors>\n<name>Cody Martin</name>\n<affiliation>Mcknight PLC</affiliation>\n<email>michael00@example.org</email>\n</authors>\n<abstract>Help field ten it. Pick eight last star pull. Act politics discuss.</abstract>\n<keywords>hard</keywords>\n<keywords>open</keywords>\n<keywords>right</keywords>\n<keywords>could</keywords>\n<keywords>sea</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.8057/cNYF</doi>\n</publication>\n<citations>411</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3041313\npatient:\n  mrn: MRN-164256\n  age: 45\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: fever\nvitals:\n  bp: 153/76\n  hr: 98\n  temp_f: 102.6\nassessment:\n- problem: hypertension\n  icd10: I84\n- problem: hypertension\n  icd10: J93\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,Lipid,MRN-874630,LAB-2052546,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 97.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 7\"\r\n2026-01-01,CBC,MRN-753160,LAB-3343338,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 155.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-01,Lipid,MRN-884528,LAB-3299449,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 170.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-04,Lipid,MRN-620175,LAB-5636792,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 108.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 13\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.48279</paper_id>\n<title>Operative systemic definition</title>\n<authors>\n<name>Patricia Owens</name>\n<affiliation>Pearson, Quinn and Owens</affiliation>\n<email>christopher41@example.net</email>\n</authors>\n<authors>\n<name>Wayne Boyd</name>\n<affiliation>Delacruz-Weaver</affiliation>\n<email>powens@example.net</email>\n</authors>\n<authors>\n<name>Christopher Castillo</name>\n<affiliation>Lawrence-Caldwell</affiliation>\n<email>amandacarey@example.com</email>\n</authors>\n<abstract>Tv wear teacher under doctor. Eight mention month argue amount how voice.</abstract>\n<keywords>month</keywords>\n<keywords>southern</keywords>\n<keywords>administration</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1648/XIrv</doi>\n</publication>\n<citations>167</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-852387\",\n  \"name\": \"Profound logistical array\",\n  \"category\": \"electronics\",\n  \"price\": 299.46,\n  \"currency\": \"USD\",\n  \"stock\": 505,\n  \"is_available\": true,\n  \"rating\": 2.95,\n  \"reviews\": 519,\n  \"specs\": {\n    \"weight_kg\": 6.22,\n    \"dimensions\": \"16x47x36cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\npaper_id: arXiv:2023.87771\ntitle: User-centric stable ability\nauthors:\n- name: Todd Hall MD\n  affiliation: Nunez-Nguyen\n  email: grhodes@example.net\n- name: Makayla Long\n  affiliation: Stanley, Sellers and Jones\n  email: johnsontammy@example.net\nabstract: Behavior skin nation pay behind remain. Then put again. Process participant\n  current all.\nkeywords:\n- design\n- him\n- blue\n- less\n- fine\npublication:\n  venue: Nature\n  year: 2020\n  doi: 10.6248/yEgY\ncitations: 194\nfunding_source: null\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.87771\",\n  \"title\": \"User-centric stable ability\",\n  \"authors\": [\n    {\n      \"name\": \"Todd Hall MD\",\n      \"affiliation\": \"Nunez-Nguyen\",\n      \"email\": \"grhodes@example.net\"\n    },\n    {\n      \"name\": \"Makayla Long\",\n      \"affiliation\": \"Stanley, Sellers and Jones\",\n      \"email\": \"johnsontammy@example.net\"\n    }\n  ],\n  \"abstract\": \"Behavior skin nation pay behind remain. Then put again. Process participant current all.\",\n  \"keywords\": [\n    \"design\",\n    \"him\",\n    \"blue\",\n    \"less\",\n    \"fine\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.6248/yEgY\"\n  },\n  \"citations\": 194,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-79156891</txn_id>\n<customer_id>5450ecc9-30b8-498f-a527-04ec3de16dd8</customer_id>\n<timestamp>2026-01-07T13:51:26.258900</timestamp>\n<items>\n<sku>SKU-81880</sku>\n<qty>4</qty>\n<price>401.7</price>\n</items>\n<items>\n<sku>SKU-99718</sku>\n<qty>5</qty>\n<price>334.37</price>\n</items>\n<items>\n<sku>SKU-65882</sku>\n<qty>3</qty>\n<price>292.8</price>\n</items>\n<items>\n<sku>SKU-88201</sku>\n<qty>2</qty>\n<price>114.91</price>\n</items>\n<subtotal>258.62</subtotal>\n<tax>22.79</tax>\n<total>1713.37</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-79156891\",\n  \"customer_id\": \"5450ecc9-30b8-498f-a527-04ec3de16dd8\",\n  \"timestamp\": \"2026-01-07T13:51:26.258900\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-81880\",\n      \"qty\": 4,\n      \"price\": 401.7\n    },\n    {\n      \"sku\": \"SKU-99718\",\n      \"qty\": 5,\n      \"price\": 334.37\n    },\n    {\n      \"sku\": \"SKU-65882\",\n      \"qty\": 3,\n      \"price\": 292.8\n    },\n    {\n      \"sku\": \"SKU-88201\",\n      \"qty\": 2,\n      \"price\": 114.91\n    }\n  ],\n  \"subtotal\": 258.62,\n  \"tax\": 22.79,\n  \"total\": 1713.37,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Seamless disintermediate flexibility API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/significant\": {\n      \"get\": {\n        \"summary\": \"Box project skin day catch.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-738287\"\nname = \"Function-based dedicated installation\"\ncategory = \"electronics\"\nprice = 364.53\ncurrency = \"USD\"\nstock = 956\nis_available = true\nrating = 1.64\nreviews = 854\n\n[specs]\nweight_kg = 19.72\ndimensions = \"48x33x88cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-29576154\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"b3774d2a-dced-4164-bd7b-7d043d7ec920\",\n  \"username\": \"boydkaren\",\n  \"content\": \"Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.\",\n  \"timestamp\": \"2026-01-07T13:51:27.160344\",\n  \"hashtags\": [\n    \"#involve\",\n    \"#fact\",\n    \"#rest\"\n  ],\n  \"engagement\": {\n    \"likes\": 923,\n    \"shares\": 56,\n    \"comments\": 396\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-3281345\nheadline: Streamlined object-oriented toolset\nauthor: James Dunn\npublished: '2026-01-03T08:23:33.060508'\nsection: Politics\ncontent: 'Win take among professor. Glass reflect black similar future. Risk than\n  tree.\n\n  Economic sit plan. Available then already skill up reason back. Course his threat\n  growth physical parent truth.\n\n  Laugh article pull goal. Believe those few.'\ntags:\n- hit\n- summer\n- official\n- rather\nviews: 75669\nshares: 293\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-3766387\",\n  \"patient\": {\n    \"mrn\": \"MRN-378219\",\n    \"age\": 48,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"145/101\",\n    \"hr\": 106,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J94\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Candidate stuff mission end nature hundred. Recently game stage agreement. Seem central blood add en,,2026-01-01,8,,,,PROD-542599,3,REV-9529513,,,,,Money face statement talk day.,67bb80c4-7c72-4c1b-886f-8186f18f45e3,True\r\nbooks,,USD,,,True,Synergized object-oriented data-warehouse,270.97,PROD-646408,3.59,,582,89x91x51cm,47.2,728,,,\r\nclothing,,USD,,,True,Customizable multi-tasking parallelism,863.93,PROD-630531,4.12,,745,56x31x27cm,37.68,837,,,\r\nelectronics,,USD,,,True,Grass-roots systematic frame,61.72,PROD-395121,2.85,,38,20x99x57cm,48.82,910,,,\r\nelectronics,,USD,,,True,Fundamental logistical success,756.33,PROD-973596,2.97,,766,36x57x61cm,43.96,230,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from CSV to XML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-740510,William Hebert,RX-7328466\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-142901,Brian Chan,RX-8471203\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-443940,Mary Jordan,RX-5172927\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-575818,James Jacobs,RX-7236451\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-671786,Jesse Carr,RX-6487072\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7328466</rx_id>\n<patient_mrn>MRN-740510</patient_mrn>\n<prescriber>William Hebert</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-485879\"\nstudent_id = \"STU-284737\"\ncourse_id = \"CRS-1053\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 89\npercentage = 64.04\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-160417</experiment_id>\n<title>Effect of agree on both</title>\n<methodology>\n<design>cohort</design>\n<sample_size>663</sample_size>\n<duration_days>354</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>13.92</baseline>\n<endpoint>49.07</endpoint>\n<p_value>0.4102</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>15.99</baseline>\n<endpoint>65.81</endpoint>\n<p_value>0.3043</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>46.51</baseline>\n<endpoint>82.23</endpoint>\n<p_value>0.4775</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-160417\",\n  \"title\": \"Effect of agree on both\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 663,\n    \"duration_days\": 354\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 13.92,\n      \"endpoint\": 49.07,\n      \"p_value\": 0.4102\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 15.99,\n      \"endpoint\": 65.81,\n      \"p_value\": 0.3043\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 46.51,\n      \"endpoint\": 82.23,\n      \"p_value\": 0.4775\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nResponsibility this statement area thing imagine free. Under quickly treatment ever end social milit,396,923,56,\"[\"\"#involve\"\", \"\"#fact\"\", \"\"#rest\"\"]\",instagram,POST-29576154,2026-01-07T13:51:27.160344,b3774d2a-dced-4164-bd7b-7d043d7ec920,boydkaren\r\n\"Wait civil PM letter. Method there citizen investment stuff center.\nThought east government maintain\",347,5506,165,\"[\"\"#during\"\", \"\"#piece\"\", \"\"#visit\"\"]\",instagram,POST-67986368,2026-01-07T13:51:27.162092,4804510c-f070-4cd2-9f0d-2029729aa8ee,scottmurphy\r\nWonder budget during wish seek state quickly. Another group ability certainly model hand. Plan quali,257,5617,828,\"[\"\"#want\"\", \"\"#deal\"\"]\",instagram,POST-69963067,2026-01-07T13:51:27.162412,b5e89c6c-57e4-43bf-a7f4-958b580026e5,marcus55\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-379547\"\nstudent_id = \"STU-377615\"\ncourse_id = \"CRS-1180\"\ntype = \"exam\"\ndate = \"2026-01-02\"\ntotal_score = 98\npercentage = 79.66\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-318732,observational,155,303,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 20.77, \"\"endpoint\"\": 67.03, \"\"p_value\"\": 0.1826}, {\"\"metric\"\": \"\"safety\"\",\",Effect of produce on stock\r\nsignificant,EXP-322249,RCT,33,531,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 79.17, \"\"endpoint\"\": 95.39, \"\"p_value\"\": 0.1249}, {\"\"metric\"\": \"\"safety\"\",\",Effect of fall on expect\r\nnon-significant,EXP-560396,observational,289,973,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 41.39, \"\"endpoint\"\": 66.0, \"\"p_value\"\": 0.2089}, {\"\"metric\"\": \"\"efficac\",Effect of building on number\r\nsignificant,EXP-368172,observational,275,57,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 99.77, \"\"endpoint\"\": 49.05, \"\"p_value\"\": 0.0553}, {\"\"metric\"\": \"\"safety\"\",\",Effect of human on either\r\nsignificant,EXP-943936,observational,316,245,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 97.63, \"\"endpoint\"\": 51.5, \"\"p_value\"\": 0.4471}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of see on trade\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: July 2021\ntotal_revenue: 5979422\nunits_sold: 82076\nchannels:\n- name: retail\n  revenue: 3460112\n  growth: 36.85\n- name: online\n  revenue: 3983364\n  growth: 5.55\ntop_products:\n- sku: SKU-1065\n  sales: 105510\n- sku: SKU-4043\n  sales: 281142\n- sku: SKU-1338\n  sales: 43006\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-504304</contract_id>\n<parties>\n<name>Waters-Vega</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Petty, Thompson and Dillon</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>50</term_months>\n<value>407863</value>\n<status>executed</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-504304\",\n  \"parties\": [\n    {\n      \"name\": \"Waters-Vega\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Petty, Thompson and Dillon\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 50,\n  \"value\": 407863,\n  \"status\": \"executed\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9801838</article_id>\n<headline>Multi-lateral didactic encryption</headline>\n<author>Jeffrey Gordon</author>\n<published>2026-01-04T05:36:27.140251</published>\n<section>Business</section>\n<content>Partner energy whose simply half because long. Pattern include thousand care four against.\nScene center certainly letter already rate among. Do amount account court term same.\nStep usually ground onto study myself.</content>\n<tags>word</tags>\n<tags>public</tags>\n<tags>near</tags>\n<views>26731</views>\n<shares>4423</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-9801838\",\n  \"headline\": \"Multi-lateral didactic encryption\",\n  \"author\": \"Jeffrey Gordon\",\n  \"published\": \"2026-01-04T05:36:27.140251\",\n  \"section\": \"Business\",\n  \"content\": \"Partner energy whose simply half because long. Pattern include thousand care four against.\\nScene center certainly letter already rate among. Do amount account court term same.\\nStep usually ground onto study myself.\",\n  \"tags\": [\n    \"word\",\n    \"public\",\n    \"near\"\n  ],\n  \"views\": 26731,\n  \"shares\": 4423\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2809\"\ncode = \"XYR392\"\ntitle = \"Centralized interactive parallelism 101\"\ninstructor = \"Cassandra Miller\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"staff\"\n\n[[schedule]]\nweek = 2\ntopic = \"term\"\n\n[[schedule]]\nweek = 3\ntopic = \"commercial\"\n\n[[schedule]]\nweek = 4\ntopic = \"manage\"\n\n[[schedule]]\nweek = 5\ntopic = \"technology\"\n\n[[schedule]]\nweek = 6\ntopic = \"alone\"\n\n[[schedule]]\nweek = 7\ntopic = \"page\"\n\n[[schedule]]\nweek = 8\ntopic = \"put\"\n\n[[schedule]]\nweek = 9\ntopic = \"speak\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<message>Computer so cold feeling huge reason reach.</message>\n<error_id>ddf52566-8f32-4c90-8477-d7f45504f7db</error_id>\n<stack_trace>at their.py:436</stack_trace>\n<stack_trace>at activity.py:81</stack_trace>\n<stack_trace>at test.py:46</stack_trace>\n<timestamp>2026-01-07T13:51:26.578554</timestamp>\n<context>\n<user_id>97fc14e5-867d-4c23-9d2e-00b538b50acf</user_id>\n<request_id>ab94fb1e-d258-4626-9686-12f860249c41</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"message\": \"Computer so cold feeling huge reason reach.\",\n  \"error_id\": \"ddf52566-8f32-4c90-8477-d7f45504f7db\",\n  \"stack_trace\": [\n    \"at their.py:436\",\n    \"at activity.py:81\",\n    \"at test.py:46\"\n  ],\n  \"timestamp\": \"2026-01-07T13:51:26.578554\",\n  \"context\": {\n    \"user_id\": \"97fc14e5-867d-4c23-9d2e-00b538b50acf\",\n    \"request_id\": \"ab94fb1e-d258-4626-9686-12f860249c41\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-3041313\",\n  \"patient\": {\n    \"mrn\": \"MRN-164256\",\n    \"age\": 45,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"153/76\",\n    \"hr\": 98,\n    \"temp_f\": 102.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I84\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J93\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3041313</note_id>\n<patient>\n<mrn>MRN-164256</mrn>\n<age>45</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>153/76</bp>\n<hr>98</hr>\n<temp_f>102.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I84</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J93</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nschedule:\n- week: 1\n  topic: table\n- week: 2\n  topic: team\n- week: 3\n  topic: miss\n- week: 4\n  topic: face\n- week: 5\n  topic: sort\n- week: 6\n  topic: board\n- week: 7\n  topic: effect\n- week: 8\n  topic: still\n- week: 9\n  topic: training\n- week: 10\n  topic: different\ncode: GHC481\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\nterm: Spring 2020\ncredits: 4\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from YAML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,code,credits,funding_source,grading_final,grading_homework,grading_midterm,keywords,paper_id,publication_doi,publication_venue,publication_year,schedule,term,title\r\n,,,GHC481,4,,40,30,30,,,,,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"team\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"miss\"\"}, {\"\"week\"\":\",Spring 2020,\r\nLaw move western heart owner catch event. Ability with minute those attorney present meet. See start,\"[{\"\"name\"\": \"\"Dana Klein\"\", \"\"affiliation\"\": \"\"Flynn, Daniels and Humphrey\"\", \"\"email\"\": \"\"latoya73@example.net\",190,,,Roberts-Bowen,,,,\"[\"\"back\"\", \"\"at\"\", \"\"body\"\", \"\"some\"\", \"\"especially\"\"]\",arXiv:2021.27593,10.1016/ZWJq,Nature,2020,,,Operative discrete Local Area Network\r\nEvent method half up. Offer movie direction president occur list.,\"[{\"\"name\"\": \"\"Ashley Webb\"\", \"\"affiliation\"\": \"\"Griffith, Stewart and Hernandez\"\", \"\"email\"\": \"\"lewisalejandra@\",153,,,Bryant Ltd,,,,\"[\"\"ahead\"\", \"\"know\"\", \"\"truth\"\"]\",arXiv:2023.17476,10.8768/EaZG,Cell,2022,,,Profit-focused zero tolerance complexity\r\n\"Wait but most ten price life way.\nChoose I discover alone government high important.\",\"[{\"\"name\"\": \"\"Jason Stephens\"\", \"\"affiliation\"\": \"\"Roberts and Sons\"\", \"\"email\"\": \"\"vincentyates@example.org\"\"},\",436,,,Fields-Stone,,,,\"[\"\"hand\"\", \"\"per\"\", \"\"idea\"\", \"\"also\"\"]\",arXiv:2023.26758,10.3984/WfES,Science,2024,,,Open-architected even-keeled attitude\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I21\"\"}]\",chest pain,2026-01-04,CN-8485350,58,F,MRN-864145,141/103,100,98.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I93\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J95\"\"}]\",headache,2026-01-05,CN-3562105,85,F,MRN-167542,102/60,103,102.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J29\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K40\"\"}]\",headache,2026-01-02,CN-2650241,23,F,MRN-595313,163/87,95,97.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J77\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J17\"\"}]\",fever,2026-01-03,CN-5206413,25,F,MRN-426868,98/77,87,97.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I71\"\"}]\",fever,2026-01-02,CN-7218166,67,F,MRN-325851,164/69,73,98.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.87801</paper_id>\n<title>Cross-group 24/7 methodology</title>\n<authors>\n<name>Scott Webb</name>\n<affiliation>Chapman LLC</affiliation>\n<email>juanbooth@example.com</email>\n</authors>\n<authors>\n<name>Robert Mullins</name>\n<affiliation>Robbins, Adkins and Rogers</affiliation>\n<email>michaeldunn@example.org</email>\n</authors>\n<abstract>Reality maybe court material response cell. Middle instead husband win thousand collection.</abstract>\n<keywords>girl</keywords>\n<keywords>face</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.4960/byWV</doi>\n</publication>\n<citations>193</citations>\n<funding_source>Williams Ltd</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Or dog never any center population. Program it they Republican over step. Who television finish true,,2026-01-01,23,,,,PROD-852988,2,REV-3836429,,,,,Report thus get describe identify.,39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0,False\r\nelectronics,,USD,,,True,Inverse bi-directional implementation,565.03,PROD-659674,3.57,,652,47x67x16cm,35.6,122,,,\r\nbooks,,USD,,,True,Cloned even-keeled moderator,776.27,PROD-402930,2.27,,316,41x49x75cm,43.25,517,,,\r\nbooks,,USD,,,True,Networked 3rdgeneration conglomeration,397.66,PROD-435382,1.58,,827,85x53x62cm,26.8,929,,,\r\nbooks,,USD,,,True,Automated zero administration attitude,37.5,PROD-960949,4.67,,703,95x45x48cm,29.65,669,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9001624\"\npatient_mrn = \"MRN-695608\"\nprescriber = \"Stephen Davis\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-1995080\"\npatient_mrn = \"MRN-674224\"\nprescriber = \"Emily Herrera\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3794479\"\nencounter_date = \"2026-01-01\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I30\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J15\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K92\"\n\n[patient]\nmrn = \"MRN-913707\"\nage = 44\ngender = \"M\"\n\n[vitals]\nbp = \"149/91\"\nhr = 69\ntemp_f = 100.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"experiment_id\": \"EXP-725280\",\n  \"title\": \"Effect of city on expert\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 907,\n    \"duration_days\": 166\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.19,\n      \"endpoint\": 64.81,\n      \"p_value\": 0.4813\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 71.73,\n      \"endpoint\": 68.14,\n      \"p_value\": 0.0851\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 77.12,\n      \"endpoint\": 63.9,\n      \"p_value\": 0.1154\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-725280</experiment_id>\n<title>Effect of city on expert</title>\n<methodology>\n<design>observational</design>\n<sample_size>907</sample_size>\n<duration_days>166</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>43.19</baseline>\n<endpoint>64.81</endpoint>\n<p_value>0.4813</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>71.73</baseline>\n<endpoint>68.14</endpoint>\n<p_value>0.0851</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>77.12</baseline>\n<endpoint>63.9</endpoint>\n<p_value>0.1154</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 424897c8-d97d-4bfb-9c1a-7b6e63fd6096\ntimestamp: '2026-01-07T13:51:27.529237'\nlevel: ERROR\nservice: heartService\nmessage: How these anyone stop indeed.\nstack_trace:\n- at manage.py:289\n- at thing.py:107\n- at guy.py:172\n- at seat.py:479\ncontext:\n  user_id: 082cc3eb-3997-4d99-990c-f696ca4ee534\n  request_id: 0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<authors>\n<name>Emily Davis</name>\n<affiliation>Nelson, Diaz and Humphrey</affiliation>\n<email>jpalmer@example.org</email>\n</authors>\n<authors>\n<name>Robert Clark</name>\n<affiliation>James Inc</affiliation>\n<email>dennis02@example.net</email>\n</authors>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6797/tlMT</doi>\n</publication>\n<keywords>lead</keywords>\n<keywords>list</keywords>\n<keywords>she</keywords>\n<funding_source />\n<paper_id>arXiv:2022.72917</paper_id>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,effective_date,funding_source,keywords,paper_id,parties,publication_doi,publication_venue,publication_year,status,term_months,title,value\r\n,,,2026-01-05,,,,\"[{\"\"name\"\": \"\"Vaughn-Taylor\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Joseph PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",,,,executed,41,,68615\r\nTake final still mission idea toward benefit. Wall evidence bed chair college rich several girl. Par,\"[{\"\"name\"\": \"\"Donna Herring\"\", \"\"affiliation\"\": \"\"Gonzalez, Jennings and Bryant\"\", \"\"email\"\": \"\"mallorymoore@ex\",442,,None,\"[\"\"memory\"\", \"\"hotel\"\", \"\"property\"\", \"\"experience\"\"]\",arXiv:2023.35786,,10.5629/VxVc,Science,2020,,,User-friendly fault-tolerant info-mediaries,\r\n\"Them third purpose ask. System positive everything evidence happy beautiful away.\nMeeting seem kind \",\"[{\"\"name\"\": \"\"Deborah Miller\"\", \"\"affiliation\"\": \"\"Potts PLC\"\", \"\"email\"\": \"\"johnsontracy@example.com\"\"}, {\"\"name\",439,,\"Morrow, Brown and Williams\",\"[\"\"sign\"\", \"\"rich\"\", \"\"ten\"\", \"\"forget\"\", \"\"state\"\"]\",arXiv:2022.55091,,10.5684/oKXp,Cell,2024,,,Multi-layered intermediate contingency,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"March 2024\",\n  \"total_revenue\": 2433324,\n  \"units_sold\": 8686,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 3952303,\n      \"growth\": 2.75\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3970412,\n      \"growth\": 12.57\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2514\",\n      \"sales\": 485558\n    },\n    {\n      \"sku\": \"SKU-5241\",\n      \"sales\": 142515\n    },\n    {\n      \"sku\": \"SKU-4600\",\n      \"sales\": 420300\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\npost_id: POST-61935008\nplatform: instagram\nuser_id: ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\nusername: halezachary\ncontent: Treat second sing development scientist particularly their. Like question\n  recently line top. Resource movie enter involve order stop region.\ntimestamp: '2026-01-07T13:51:25.597395'\nhashtags:\n- '#box'\n- '#speak'\n- '#reason'\nengagement:\n  likes: 4027\n  shares: 604\n  comments: 194\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-61935008\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\",\n  \"username\": \"halezachary\",\n  \"content\": \"Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.\",\n  \"timestamp\": \"2026-01-07T13:51:25.597395\",\n  \"hashtags\": [\n    \"#box\",\n    \"#speak\",\n    \"#reason\"\n  ],\n  \"engagement\": {\n    \"likes\": 4027,\n    \"shares\": 604,\n    \"comments\": 194\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-9017474\",\n  \"patient_mrn\": \"MRN-783803\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 65.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 160.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 179.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 148.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"company\": \"Martinez, Patterson and Hunter\",\n  \"ticker\": \"PPOB\",\n  \"quarter\": \"Q1 2023\",\n  \"revenue\": 66694743,\n  \"expenses\": 21448775,\n  \"net_income\": 421192,\n  \"eps\": 2.32,\n  \"metrics\": {\n    \"profit_margin\": 7.89,\n    \"roe\": 9.32\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"Martinez, Patterson and Hunter\"\nticker = \"PPOB\"\nquarter = \"Q1 2023\"\nrevenue = 66694743\nexpenses = 21448775\nnet_income = 421192\neps = 2.32\n\n[metrics]\nprofit_margin = 7.89\nroe = 9.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nFull with spend role first drive. Want man instead today bed hand character.,\"[{\"\"name\"\": \"\"Clayton Martinez\"\", \"\"affiliation\"\": \"\"Flores, Levy and Farmer\"\", \"\"email\"\": \"\"kathy80@example.or\",395,None,\"[\"\"bed\"\", \"\"very\"\", \"\"population\"\"]\",arXiv:2023.99214,10.4640/CkqB,Nature,2023,Integrated mobile database\r\nWind trade think then leave develop. Technology serious personal view. Yet myself small window final,\"[{\"\"name\"\": \"\"Juan Gonzalez\"\", \"\"affiliation\"\": \"\"Craig Inc\"\", \"\"email\"\": \"\"danielmurphy@example.com\"\"}, {\"\"name\"\"\",439,Perez Inc,\"[\"\"not\"\", \"\"senior\"\", \"\"director\"\", \"\"Congress\"\", \"\"result\"\"]\",arXiv:2024.11173,10.7286/mDvM,Nature,2020,Realigned static project\r\nAccount alone whatever year become rate save. Production hotel admit later fast hit.,\"[{\"\"name\"\": \"\"Jennifer Walls\"\", \"\"affiliation\"\": \"\"Hayes-Hubbard\"\", \"\"email\"\": \"\"rochatyler@example.net\"\"}, {\"\"na\",346,None,\"[\"\"event\"\", \"\"meet\"\", \"\"within\"\", \"\"class\"\", \"\"training\"\"]\",arXiv:2022.40670,10.8585/cQLU,Cell,2024,Multi-lateral 5thgeneration conglomeration\r\nEnter allow buy might seat increase research. Computer practice cup teacher word road nearly. Agains,\"[{\"\"name\"\": \"\"Tony Dominguez\"\", \"\"affiliation\"\": \"\"Gonzalez PLC\"\", \"\"email\"\": \"\"ywarren@example.org\"\"}, {\"\"name\"\":\",69,None,\"[\"\"gas\"\", \"\"society\"\", \"\"cup\"\", \"\"every\"\"]\",arXiv:2023.18353,10.7144/IFGG,Science,2023,Persevering bi-directional intranet\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-356074,RCT,322,875,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 39.78, \"\"endpoint\"\": 81.69, \"\"p_value\"\": 0.1423}, {\"\"metric\"\": \"\"safety\"\",\",Effect of fill on likely\r\nsignificant,EXP-705462,observational,103,75,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 95.53, \"\"endpoint\"\": 54.21, \"\"p_value\"\": 0.1452}, {\"\"metric\"\": \"\"safety\",Effect of end on choice\r\nnon-significant,EXP-680618,observational,350,205,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 39.89, \"\"endpoint\"\": 23.89, \"\"p_value\"\": 0.1072}, {\"\"metric\"\": \"\"safety\"\",\",Effect of travel on beyond\r\nsignificant,EXP-529171,RCT,230,563,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 82.53, \"\"endpoint\"\": 94.72, \"\"p_value\"\": 0.1953}, {\"\"metric\"\": \"\"safety\"\",\",Effect of watch on yeah\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-597223\",\n  \"name\": \"Proactive tertiary database\",\n  \"category\": \"books\",\n  \"price\": 435.77,\n  \"currency\": \"USD\",\n  \"stock\": 111,\n  \"is_available\": true,\n  \"rating\": 1.73,\n  \"reviews\": 539,\n  \"specs\": {\n    \"weight_kg\": 19.61,\n    \"dimensions\": \"87x91x85cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-597223</product_id>\n<name>Proactive tertiary database</name>\n<category>books</category>\n<price>435.77</price>\n<currency>USD</currency>\n<stock>111</stock>\n<is_available>True</is_available>\n<rating>1.73</rating>\n<reviews>539</reviews>\n<specs>\n<weight_kg>19.61</weight_kg>\n<dimensions>87x91x85cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-86945311\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b9da037c-f6cd-4ced-8c95-ca7562cf6118\",\n  \"username\": \"martinsteven\",\n  \"content\": \"Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.\",\n  \"timestamp\": \"2026-01-07T13:51:26.810240\",\n  \"hashtags\": [\n    \"#drop\",\n    \"#consider\",\n    \"#nature\",\n    \"#all\"\n  ],\n  \"engagement\": {\n    \"likes\": 3344,\n    \"shares\": 900,\n    \"comments\": 482\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"info\": {\n    \"title\": \"Object-based multimedia secured line API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/party\": {\n      \"get\": {\n        \"summary\": \"Discussion partner stay wear again.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Object-based multimedia secured line API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</party>\n<get>\n<summary>Discussion partner stay wear again.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//party>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3948</course_id>\n<code>CSZ142</code>\n<title>Intuitive foreground functionalities 101</title>\n<instructor>Robert Carter</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>catch</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>people</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>out</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>story</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>share</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>become</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>part</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>cell</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-3948\",\n  \"code\": \"CSZ142\",\n  \"title\": \"Intuitive foreground functionalities 101\",\n  \"instructor\": \"Robert Carter\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"catch\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"out\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"story\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"share\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"become\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"part\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"cell\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Balanced demand-driven capacity,554.83,PROD-685161,3.32,212,86x88x63cm,39.83,872\r\nbooks,USD,True,Enterprise-wide multimedia customer loyalty,964.77,PROD-238296,2.75,480,62x99x20cm,7.97,904\r\nelectronics,USD,True,Assimilated client-server circuit,58.72,PROD-359357,2.62,370,59x13x63cm,29.18,168\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrating: 5\nreview_id: REV-2205395\ncontent: 'Respond order far story by area affect. Important also catch down choice\n  office necessary political. Firm along bar.\n\n  Stuff create including star question traditional reflect. Share fast thought.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need product listing details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Proactive discrete circuit,114.22,PROD-496320,4.48,312,63x88x66cm,19.63,329\r\nbooks,USD,True,Profit-focused client-server workforce,30.7,PROD-115307,4.19,324,19x86x50cm,26.04,240\r\nbooks,USD,True,Realigned didactic budgetary management,786.61,PROD-298545,2.08,245,72x22x83cm,45.08,800\r\nelectronics,USD,True,Secured systematic artificial intelligence,373.19,PROD-914566,3.26,626,76x18x43cm,45.47,499\r\nelectronics,USD,True,Cloned client-driven database,548.71,PROD-364392,3.25,747,81x73x24cm,4.3,568\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-78526123\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"17596017-ad50-41af-8dc2-8746d15af00d\",\n  \"username\": \"qsharp\",\n  \"content\": \"Seven behavior less water pretty.\\nRock key include. Kind than game agreement.\\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.\",\n  \"timestamp\": \"2026-01-07T13:51:27.460227\",\n  \"hashtags\": [\n    \"#draw\",\n    \"#five\",\n    \"#culture\",\n    \"#sport\"\n  ],\n  \"engagement\": {\n    \"likes\": 1826,\n    \"shares\": 489,\n    \"comments\": 393\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output financial report as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Mcintyre, French and Sherman\"\nticker = \"GRIC\"\nquarter = \"Q4 2021\"\nrevenue = 78125638\nexpenses = 13448897\nnet_income = 14876002\neps = 9.04\n\n[metrics]\nprofit_margin = 9.81\nroe = 23.34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following TOML to JSON:\nnote_id = \"CN-4466987\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K25\"\n\n[patient]\nmrn = \"MRN-766590\"\nage = 87\ngender = \"F\"\n\n[vitals]\nbp = \"147/66\"\nhr = 72\ntemp_f = 101.1\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4466987\",\n  \"patient\": {\n    \"mrn\": \"MRN-766590\",\n    \"age\": 87,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"147/66\",\n    \"hr\": 72,\n    \"temp_f\": 101.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K25\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-428311</product_id>\n<name>Object-based value-added workforce</name>\n<category>books</category>\n<price>802.3</price>\n<currency>USD</currency>\n<stock>719</stock>\n<is_available>True</is_available>\n<rating>1.5</rating>\n<reviews>81</reviews>\n<specs>\n<weight_kg>27.85</weight_kg>\n<dimensions>99x87x32cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-428311\",\n  \"name\": \"Object-based value-added workforce\",\n  \"category\": \"books\",\n  \"price\": 802.3,\n  \"currency\": \"USD\",\n  \"stock\": 719,\n  \"is_available\": true,\n  \"rating\": 1.5,\n  \"reviews\": 81,\n  \"specs\": {\n    \"weight_kg\": 27.85,\n    \"dimensions\": \"99x87x32cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"September 2022\"\ntotal_revenue = 4880286\nunits_sold = 74173\n[[channels]]\nname = \"retail\"\nrevenue = 2000312\ngrowth = 0.96\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 3751658\ngrowth = -3.19\n\n[[top_products]]\nsku = \"SKU-6977\"\nsales = 264067\n\n[[top_products]]\nsku = \"SKU-7032\"\nsales = 443161\n\n[[top_products]]\nsku = \"SKU-1793\"\nsales = 209512\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"experiment_id\": \"EXP-818679\",\n  \"title\": \"Effect of begin on task\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 180,\n    \"duration_days\": 157\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.77,\n      \"endpoint\": 32.37,\n      \"p_value\": 0.477\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 20.98,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.2984\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-818679</experiment_id>\n<title>Effect of begin on task</title>\n<methodology>\n<design>RCT</design>\n<sample_size>180</sample_size>\n<duration_days>157</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>17.77</baseline>\n<endpoint>32.37</endpoint>\n<p_value>0.477</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>20.98</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.2984</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,,CN-3759937,30,M,MRN-802088,119/74,67,100.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J95\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I43\"\"}, {\"\"problem\"\": \"\"hype\",fever,2026-01-03,CN-7361771,74,F,MRN-264539,129/66,86,103.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J10\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K99\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-02,CN-3812265,69,M,MRN-504012,109/82,60,97.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I74\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I56\"\"}]\",headache,2026-01-02,CN-7745905,60,M,MRN-317880,125/104,61,102.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Ortega-Owens\nticker: YLLB\nquarter: Q3 2022\nrevenue: 37598920\nexpenses: 44591506\nnet_income: 3197580\neps: 1.51\nmetrics:\n  profit_margin: 5.54\n  roe: 6.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\ntxn_id: TXN-15638187\ncustomer_id: 242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\ntimestamp: '2026-01-07T13:51:27.047573'\nitems:\n- sku: SKU-16950\n  qty: 3\n  price: 120.22\n- sku: SKU-76122\n  qty: 1\n  price: 377.76\n- sku: SKU-41194\n  qty: 3\n  price: 254.19\n- sku: SKU-75246\n  qty: 2\n  price: 418.85\nsubtotal: 1338.06\ntax: 172.92\ntotal: 2048.81\npayment_method: apple_pay\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-15638187\",\n  \"customer_id\": \"242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\",\n  \"timestamp\": \"2026-01-07T13:51:27.047573\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-16950\",\n      \"qty\": 3,\n      \"price\": 120.22\n    },\n    {\n      \"sku\": \"SKU-76122\",\n      \"qty\": 1,\n      \"price\": 377.76\n    },\n    {\n      \"sku\": \"SKU-41194\",\n      \"qty\": 3,\n      \"price\": 254.19\n    },\n    {\n      \"sku\": \"SKU-75246\",\n      \"qty\": 2,\n      \"price\": 418.85\n    }\n  ],\n  \"subtotal\": 1338.06,\n  \"tax\": 172.92,\n  \"total\": 2048.81,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</somebody>\n<get>\n<summary>Threat common organization project.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//somebody>\n</paths>\n<info>\n<title>Networked system-worthy project API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/somebody\": {\n      \"get\": {\n        \"summary\": \"Threat common organization project.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Networked system-worthy project API\",\n    \"version\": \"1.0.0\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-363161,2026-01-03,\"[{\"\"name\"\": \"\"Turner, Lee and Lara\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Howard, Grimes and Perez\"\", \"\"role\"\": \"\"\",executed,29,464788\r\nCTR-566493,2026-01-02,\"[{\"\"name\"\": \"\"Ramirez PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Dunlap, Howard and Taylor\"\", \"\"role\"\": \"\"party_b\"\"\",executed,50,38984\r\nCTR-205959,2026-01-02,\"[{\"\"name\"\": \"\"Hartman, Garcia and Ryan\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Robinson Ltd\"\", \"\"role\"\": \"\"party_b\"\"\",active,20,299231\r\nCTR-507237,2026-01-01,\"[{\"\"name\"\": \"\"Johnston PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Collier, Cook and Weaver\"\", \"\"role\"\": \"\"party_b\"\"\",executed,53,54852\r\nCTR-591593,2026-01-04,\"[{\"\"name\"\": \"\"Torres, Duffy and Young\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Terry, Cain and Love\"\", \"\"role\"\": \"\"p\",executed,49,741592\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<patient_mrn>MRN-952425</patient_mrn>\n<result_id>LAB-8958063</result_id>\n<results>\n<test>Glucose</test>\n<value>142.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>196.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>74.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>99.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>51.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>186.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-79156891\ncustomer_id: 5450ecc9-30b8-498f-a527-04ec3de16dd8\ntimestamp: '2026-01-07T13:51:26.258900'\nitems:\n- sku: SKU-81880\n  qty: 4\n  price: 401.7\n- sku: SKU-99718\n  qty: 5\n  price: 334.37\n- sku: SKU-65882\n  qty: 3\n  price: 292.8\n- sku: SKU-88201\n  qty: 2\n  price: 114.91\nsubtotal: 258.62\ntax: 22.79\ntotal: 1713.37\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.69453</paper_id>\n<title>Assimilated needs-based portal</title>\n<authors>\n<name>Evan Reed</name>\n<affiliation>Orr, Wheeler and Johnson</affiliation>\n<email>cheryl05@example.net</email>\n</authors>\n<authors>\n<name>Amanda Mcmahon</name>\n<affiliation>Maxwell-Price</affiliation>\n<email>mbowen@example.org</email>\n</authors>\n<authors>\n<name>Angel Vasquez</name>\n<affiliation>Melendez, Osborne and Harris</affiliation>\n<email>timothysutton@example.com</email>\n</authors>\n<abstract>Economy instead thank kitchen. For pattern he purpose strong goal challenge.</abstract>\n<keywords>power</keywords>\n<keywords>main</keywords>\n<keywords>light</keywords>\n<keywords>form</keywords>\n<keywords>system</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.9550/gbOm</doi>\n</publication>\n<citations>115</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 1467254,\n  \"units_sold\": 63744,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2975287,\n      \"growth\": -1.88\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2665464,\n      \"growth\": 14.77\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1172\",\n      \"sales\": 348860\n    },\n    {\n      \"sku\": \"SKU-4431\",\n      \"sales\": 479568\n    },\n    {\n      \"sku\": \"SKU-6244\",\n      \"sales\": 245719\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>1467254</total_revenue>\n<units_sold>63744</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2975287</revenue>\n<growth>-1.88</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2665464</revenue>\n<growth>14.77</growth>\n</channels>\n<top_products>\n<sku>SKU-1172</sku>\n<sales>348860</sales>\n</top_products>\n<top_products>\n<sku>SKU-4431</sku>\n<sales>479568</sales>\n</top_products>\n<top_products>\n<sku>SKU-6244</sku>\n<sales>245719</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Mcintyre, French and Sherman\",9.04,13448897,9.81,23.34,14876002,Q4 2021,78125638,GRIC\r\nReid-Becker,4.92,36172810,21.94,12.02,18464317,Q4 2020,4105232,UTHL\r\n\"Patel, Webb and Erickson\",6.47,14114733,12.06,11.9,8481942,Q4 2021,38608650,ZGNN\r\nWest Inc,8.83,31089765,18.47,8.17,13547925,Q4 2023,41163290,ETSU\r\nLong-Jones,9.42,47270220,12.67,14.44,11156249,Q4 2023,96271641,SBRJ\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Mcintyre, French and Sherman\nticker: GRIC\nquarter: Q4 2021\nrevenue: 78125638\nexpenses: 13448897\nnet_income: 14876002\neps: 9.04\nmetrics:\n  profit_margin: 9.81\n  roe: 23.34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"article_id\": \"ART-6180455\",\n  \"headline\": \"Grass-roots multi-tasking hub\",\n  \"author\": \"David Espinoza\",\n  \"published\": \"2026-01-07T13:20:10.771283\",\n  \"section\": \"Politics\",\n  \"content\": \"Either large lot east. Show everybody away city election happy my. Believe left sure mother.\\nWhom game determine road little. Sing this character. Agent fill kitchen themselves agreement.\\nWoman draw budget stage. Star cultural old president where national success.\",\n  \"tags\": [\n    \"size\",\n    \"commercial\",\n    \"president\",\n    \"city\",\n    \"expect\"\n  ],\n  \"views\": 43396,\n  \"shares\": 2564\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-6180455</article_id>\n<headline>Grass-roots multi-tasking hub</headline>\n<author>David Espinoza</author>\n<published>2026-01-07T13:20:10.771283</published>\n<section>Politics</section>\n<content>Either large lot east. Show everybody away city election happy my. Believe left sure mother.\nWhom game determine road little. Sing this character. Agent fill kitchen themselves agreement.\nWoman draw budget stage. Star cultural old president where national success.</content>\n<tags>size</tags>\n<tags>commercial</tags>\n<tags>president</tags>\n<tags>city</tags>\n<tags>expect</tags>\n<views>43396</views>\n<shares>2564</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Synergistic bottom-line conglomeration,609.49,PROD-842353,1.05,570,30x19x82cm,25.04,399\r\nclothing,USD,True,Re-engineered interactive system engine,394.9,PROD-647841,1.7,933,48x35x42cm,36.99,675\r\nbooks,USD,True,Monitored dedicated artificial intelligence,624.61,PROD-960822,2.28,987,95x89x10cm,41.75,553\r\nelectronics,USD,True,Quality-focused dynamic parallelism,355.92,PROD-301950,3.52,809,38x35x53cm,1.65,697\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-1120026\",\n  \"patient_mrn\": \"MRN-824701\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 168.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 98.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 137.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 107.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-13058367\",\n  \"customer_id\": \"852e4544-1bd4-44f1-abf0-2ff01b4a4792\",\n  \"timestamp\": \"2026-01-07T13:51:26.835091\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-47822\",\n      \"qty\": 3,\n      \"price\": 237.72\n    },\n    {\n      \"sku\": \"SKU-38430\",\n      \"qty\": 4,\n      \"price\": 285.9\n    },\n    {\n      \"sku\": \"SKU-22327\",\n      \"qty\": 1,\n      \"price\": 141.71\n    }\n  ],\n  \"subtotal\": 408.33,\n  \"tax\": 11.32,\n  \"total\": 1142.29,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.53732</paper_id>\n<title>De-engineered exuding monitoring</title>\n<authors>\n<name>Joseph Johnson</name>\n<affiliation>Mccann, Romero and Ortiz</affiliation>\n<email>wcook@example.org</email>\n</authors>\n<authors>\n<name>Mr. Henry Thomas</name>\n<affiliation>Clarke-Williams</affiliation>\n<email>mlittle@example.com</email>\n</authors>\n<abstract>Cut happen you after talk trial accept she. Country church development card. Learn support son service.</abstract>\n<keywords>positive</keywords>\n<keywords>American</keywords>\n<keywords>hand</keywords>\n<keywords>sure</keywords>\n<publication>\n<venue>Science</venue>\n<year>2024</year>\n<doi>10.3815/gTFt</doi>\n</publication>\n<citations>88</citations>\n<funding_source>Kim LLC</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.53732\",\n  \"title\": \"De-engineered exuding monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Joseph Johnson\",\n      \"affiliation\": \"Mccann, Romero and Ortiz\",\n      \"email\": \"wcook@example.org\"\n    },\n    {\n      \"name\": \"Mr. Henry Thomas\",\n      \"affiliation\": \"Clarke-Williams\",\n      \"email\": \"mlittle@example.com\"\n    }\n  ],\n  \"abstract\": \"Cut happen you after talk trial accept she. Country church development card. Learn support son service.\",\n  \"keywords\": [\n    \"positive\",\n    \"American\",\n    \"hand\",\n    \"sure\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2024,\n    \"doi\": \"10.3815/gTFt\"\n  },\n  \"citations\": 88,\n  \"funding_source\": \"Kim LLC\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-32645861\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b5521d05-1410-43ee-b828-2c240f95461c\",\n  \"username\": \"yanderson\",\n  \"content\": \"Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.\",\n  \"timestamp\": \"2026-01-07T13:51:27.526455\",\n  \"hashtags\": [\n    \"#door\",\n    \"#relate\"\n  ],\n  \"engagement\": {\n    \"likes\": 5828,\n    \"shares\": 957,\n    \"comments\": 117\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-54622203\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"1456e108-0a50-4482-8f1a-b1cb2398a121\",\n  \"username\": \"fullersteven\",\n  \"content\": \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\",\n  \"timestamp\": \"2026-01-07T13:51:25.504049\",\n  \"hashtags\": [\n    \"#deep\",\n    \"#yes\",\n    \"#long\",\n    \"#including\"\n  ],\n  \"engagement\": {\n    \"likes\": 464,\n    \"shares\": 699,\n    \"comments\": 294\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nproduct_id = \"PROD-942707\"\nname = \"Organic demand-driven installation\"\ncategory = \"books\"\nprice = 698.66\ncurrency = \"USD\"\nstock = 819\nis_available = true\nrating = 4.45\nreviews = 103\n\n[specs]\nweight_kg = 32.63\ndimensions = \"66x30x83cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-942707\nname: Organic demand-driven installation\ncategory: books\nprice: 698.66\ncurrency: USD\nstock: 819\nis_available: true\nrating: 4.45\nreviews: 103\nspecs:\n  weight_kg: 32.63\n  dimensions: 66x30x83cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-8075236\",\n  \"product_id\": \"PROD-326180\",\n  \"user_id\": \"e70c9373-b1ad-41a5-8939-e3c28041d8f5\",\n  \"rating\": 4,\n  \"title\": \"Most teacher Mrs system watch.\",\n  \"content\": \"Address music major. Magazine three about. Security ready result improve.\\nHand other collection name wife remain. Speech perhaps newspaper. Talk place third about writer billion physical.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 50\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-8075236</review_id>\n<product_id>PROD-326180</product_id>\n<user_id>e70c9373-b1ad-41a5-8939-e3c28041d8f5</user_id>\n<rating>4</rating>\n<title>Most teacher Mrs system watch.</title>\n<content>Address music major. Magazine three about. Security ready result improve.\nHand other collection name wife remain. Speech perhaps newspaper. Talk place third about writer billion physical.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>50</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output experiment result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-318732\ntitle: Effect of produce on stock\nmethodology:\n  design: observational\n  sample_size: 303\n  duration_days: 155\nresults:\n- metric: safety\n  baseline: 20.77\n  endpoint: 67.03\n  p_value: 0.1826\n- metric: safety\n  baseline: 69.69\n  endpoint: 32.04\n  p_value: 0.1176\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5387789</result_id>\n<patient_mrn>MRN-887521</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>WBC</test>\n<value>66.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>111.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>168.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>136.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>86.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5387789\",\n  \"patient_mrn\": \"MRN-887521\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 66.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 111.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 168.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 136.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 148.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 86.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Rodriguez, Sanchez and French\"\nticker = \"TOPI\"\nquarter = \"Q3 2022\"\nrevenue = 30596216\nexpenses = 79425858\nnet_income = 10739155\neps = 9.27\n\n[metrics]\nprofit_margin = 21.79\nroe = 22.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-446802,James Bryant,RX-8350891\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-449837,Billy Ford,RX-1000213\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-278651,Tyler Reed,RX-6346758\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-973582,Dr. Jennifer Castillo MD,RX-6195384\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-8350891\"\npatient_mrn = \"MRN-446802\"\nprescriber = \"James Bryant\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nCSZ142,CRS-3948,4,40,30,30,Robert Carter,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"manage\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"catch\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"people\"\"}, {\"\"we\",Fall 2022,Intuitive foreground functionalities 101\r\nMZW327,CRS-6722,4,40,30,30,Anna Williams,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"chance\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"PM\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"value\"\"}, {\"\"week\"\":\",Spring 2024,Adaptive even-keeled pricing structure 101\r\nCBD152,CRS-7496,4,40,30,30,Timothy Rodriguez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"science\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"maybe\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"discuss\"\"}, {\"\"\",Spring 2020,Cross-group 4thgeneration model 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.99214</paper_id>\n<title>Integrated mobile database</title>\n<authors>\n<name>Clayton Martinez</name>\n<affiliation>Flores, Levy and Farmer</affiliation>\n<email>kathy80@example.org</email>\n</authors>\n<authors>\n<name>Susan Bennett</name>\n<affiliation>Collins, Daniel and Lyons</affiliation>\n<email>shawnjefferson@example.org</email>\n</authors>\n<abstract>Full with spend role first drive. Want man instead today bed hand character.</abstract>\n<keywords>bed</keywords>\n<keywords>very</keywords>\n<keywords>population</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.4640/CkqB</doi>\n</publication>\n<citations>395</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.99214\",\n  \"title\": \"Integrated mobile database\",\n  \"authors\": [\n    {\n      \"name\": \"Clayton Martinez\",\n      \"affiliation\": \"Flores, Levy and Farmer\",\n      \"email\": \"kathy80@example.org\"\n    },\n    {\n      \"name\": \"Susan Bennett\",\n      \"affiliation\": \"Collins, Daniel and Lyons\",\n      \"email\": \"shawnjefferson@example.org\"\n    }\n  ],\n  \"abstract\": \"Full with spend role first drive. Want man instead today bed hand character.\",\n  \"keywords\": [\n    \"bed\",\n    \"very\",\n    \"population\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.4640/CkqB\"\n  },\n  \"citations\": 395,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate prescription data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9442688\",\n  \"patient_mrn\": \"MRN-277514\",\n  \"prescriber\": \"Timothy Goodman\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-741098,LAB-9955595,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 97.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-05,Lipid,MRN-120114,LAB-4624810,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 155.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-05,Lipid,MRN-462677,LAB-3336557,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 193.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-02,Lipid,MRN-819775,LAB-2640921,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 50.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\ndate = \"2026-01-05\"\ntitle = \"Teach why painting per short.\"\nrating = 4\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title\r\n,,,2026-01-05,,,,,,,4,Teach why painting per short.\r\nCity standard hit Republican specific win. Foot fast media everything drive and. West question mean ,\"[{\"\"name\"\": \"\"Daniel Torres\"\", \"\"affiliation\"\": \"\"Greene, Herrera and Lewis\"\", \"\"email\"\": \"\"sandy50@example.com\",486,,None,\"[\"\"woman\"\", \"\"building\"\", \"\"population\"\"]\",arXiv:2020.88512,10.6688/TNnX,Cell,2024,,Persistent multimedia Graphical User Interface\r\n\"None chair suffer. Modern dog forward nation.\nSend field order pay suffer.\",\"[{\"\"name\"\": \"\"Richard Fernandez\"\", \"\"affiliation\"\": \"\"Meza-Nguyen\"\", \"\"email\"\": \"\"megan29@example.com\"\"}, {\"\"name\",387,,None,\"[\"\"worker\"\", \"\"family\"\", \"\"deal\"\"]\",arXiv:2024.40576,10.4368/nAhv,Nature,2024,,Switchable scalable data-warehouse\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-79156891</txn_id>\n<customer_id>5450ecc9-30b8-498f-a527-04ec3de16dd8</customer_id>\n<timestamp>2026-01-07T13:51:26.258900</timestamp>\n<items>\n<sku>SKU-81880</sku>\n<qty>4</qty>\n<price>401.7</price>\n</items>\n<items>\n<sku>SKU-99718</sku>\n<qty>5</qty>\n<price>334.37</price>\n</items>\n<items>\n<sku>SKU-65882</sku>\n<qty>3</qty>\n<price>292.8</price>\n</items>\n<items>\n<sku>SKU-88201</sku>\n<qty>2</qty>\n<price>114.91</price>\n</items>\n<subtotal>258.62</subtotal>\n<tax>22.79</tax>\n<total>1713.37</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntxn_id: TXN-79156891\ncustomer_id: 5450ecc9-30b8-498f-a527-04ec3de16dd8\ntimestamp: '2026-01-07T13:51:26.258900'\nitems:\n- sku: SKU-81880\n  qty: 4\n  price: 401.7\n- sku: SKU-99718\n  qty: 5\n  price: 334.37\n- sku: SKU-65882\n  qty: 3\n  price: 292.8\n- sku: SKU-88201\n  qty: 2\n  price: 114.91\nsubtotal: 258.62\ntax: 22.79\ntotal: 1713.37\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntimestamp = \"2026-01-07T13:51:26.818902\"\nerror_id = \"de32926d-7560-4176-8c16-f346784a78af\"\n\n[context]\nuser_id = \"3a96bf92-d9b7-4f9e-91da-6a15b590d5cf\"\nrequest_id = \"d8c0cfbc-2ae8-46b8-8db8-ee3a71153dc5\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-2650245\"\nheadline = \"Enhanced multimedia hub\"\nauthor = \"Jennifer Davis\"\npublished = \"2026-01-02T17:44:08.333575\"\nsection = \"Tech\"\ncontent = \"Late situation both data share market. These foot health box.\\nPay me together western ever story cup. Game production million happy reveal. Attorney bill shake crime eat finally drive.\\nChoice four concern cold test. Road executive policy official season increase.\"\ntags = [ \"future\", \"here\", \"new\",]\nviews = 46115\nshares = 2819\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5855932\"\npatient_mrn = \"MRN-921122\"\nprescriber = \"Spencer Smith\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-274282</contract_id>\n<parties>\n<name>Schroeder LLC</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Kemp-Jones</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>28</term_months>\n<value>285721</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-274282\",\n  \"parties\": [\n    {\n      \"name\": \"Schroeder LLC\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Kemp-Jones\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 28,\n  \"value\": 285721,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-107958\",\n  \"name\": \"Adaptive asynchronous synergy\",\n  \"category\": \"electronics\",\n  \"price\": 349.45,\n  \"currency\": \"USD\",\n  \"stock\": 717,\n  \"is_available\": true,\n  \"rating\": 1.62,\n  \"reviews\": 33,\n  \"specs\": {\n    \"weight_kg\": 15.32,\n    \"dimensions\": \"74x31x68cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-107958</product_id>\n<name>Adaptive asynchronous synergy</name>\n<category>electronics</category>\n<price>349.45</price>\n<currency>USD</currency>\n<stock>717</stock>\n<is_available>True</is_available>\n<rating>1.62</rating>\n<reviews>33</reviews>\n<specs>\n<weight_kg>15.32</weight_kg>\n<dimensions>74x31x68cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need prescription details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9483696\npatient_mrn: MRN-605985\nprescriber: Angela Sanchez\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: TID\n  quantity: 90\n- name: Metformin\n  dosage: 20mg\n  frequency: BID\n  quantity: 90\n- name: Lisinopril\n  dosage: 5mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2650245,Jennifer Davis,\"Late situation both data share market. These foot health box.\nPay me together western ever story cup\",Enhanced multimedia hub,2026-01-02T17:44:08.333575,Tech,2819,\"[\"\"future\"\", \"\"here\"\", \"\"new\"\"]\",46115\r\nART-2262202,Mary Phillips,\"These dark seek social. Identify figure policy act often where pull.\nMessage yet water analysis week\",Secured solution-oriented solution,2026-01-05T16:17:55.416091,Tech,3330,\"[\"\"church\"\", \"\"region\"\", \"\"door\"\", \"\"form\"\", \"\"then\"\"]\",95683\r\nART-5343695,Emily Smith,\"Forward probably theory visit. Stay research hope newspaper it worry.\nCause fight conference easy st\",Organic static projection,2026-01-02T05:42:13.204625,Tech,3671,\"[\"\"keep\"\", \"\"class\"\", \"\"special\"\"]\",48293\r\nART-5847055,Michael Poole,Simple exist your. Pay else spring mean senior do. Edge through increase maintain almost rather nor.,Cross-group web-enabled customer loyalty,2026-01-02T01:37:57.867663,Politics,4546,\"[\"\"argue\"\", \"\"war\"\", \"\"deep\"\", \"\"explain\"\"]\",52000\r\nART-9512774,Michael Kennedy,\"Reality chance science care. Partner Mr pattern.\nPlant standard everything after billion office diff\",Persevering uniform budgetary management,2026-01-02T23:34:21.012612,Business,3322,\"[\"\"administration\"\", \"\"end\"\", \"\"pattern\"\"]\",37594\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Streamlined logistical help-desk API\"\nversion = \"1.0.0\"\n\n[paths.\"/grow\".get]\nsummary = \"Will entire deep source history.\"\n[[paths.\"/grow\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/grow\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/grow\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/grow\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/grow\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-2575466\"\nproduct_id = \"PROD-346187\"\nuser_id = \"320eb87e-12bd-44ab-bb47-6fec45bd5144\"\nrating = 1\ntitle = \"Possible modern last rate memory fight conference \"\ncontent = \"Character walk loss rock me social gun.\\nCenter choice either push. Push stop yourself.\"\ndate = \"2026-01-01\"\nverified_purchase = false\nhelpful_votes = 26\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3060773,Gregory Williams,Movie citizen trial very six democratic current. Each none rule attack nothing reach draw. Indeed we,Ameliorated 3rdgeneration standardization,2026-01-01T12:37:39.865496,Sports,4236,\"[\"\"detail\"\", \"\"protect\"\", \"\"police\"\", \"\"cultural\"\"]\",96836\r\nART-6673212,Christopher White,Feeling fly when report. Century forget kid these central why structure. This hospital mission let h,Grass-roots dedicated circuit,2026-01-01T01:55:45.291325,Business,3822,\"[\"\"positive\"\", \"\"daughter\"\", \"\"happen\"\", \"\"between\"\", \"\"billion\"\"]\",60066\r\nART-9832803,Cody Diaz,Or nation guy story. Dog nor alone challenge go fact white. Floor consumer policy source become near,Seamless zero tolerance application,2026-01-04T01:06:48.117343,Politics,4194,\"[\"\"threat\"\", \"\"foreign\"\", \"\"picture\"\", \"\"once\"\", \"\"company\"\"]\",91293\r\nART-2599342,Margaret Swanson,Article see consider building little determine child. Argue none few during prepare rule win physica,Down-sized 3rdgeneration paradigm,2026-01-06T05:05:57.482647,Tech,1116,\"[\"\"foreign\"\", \"\"do\"\", \"\"benefit\"\"]\",72530\r\nART-9635480,Haley James,Nature still fish better. Organization society tell friend outside never task lawyer. Down more serv,Robust analyzing Graphic Interface,2026-01-02T18:51:29.569984,Tech,1965,\"[\"\"feeling\"\", \"\"PM\"\", \"\"begin\"\", \"\"director\"\"]\",4930\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output news article as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-7317178\",\n  \"headline\": \"Sharable 5thgeneration framework\",\n  \"author\": \"Judy Garner\",\n  \"published\": \"2026-01-07T07:35:28.380949\",\n  \"section\": \"Politics\",\n  \"content\": \"Cover whole myself late last month authority. Make away choose difficult.\\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.\",\n  \"tags\": [\n    \"cover\",\n    \"people\",\n    \"available\",\n    \"above\",\n    \"service\"\n  ],\n  \"views\": 84087,\n  \"shares\": 2480\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-8293808\",\n  \"patient\": {\n    \"mrn\": \"MRN-980604\",\n    \"age\": 24,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"150/98\",\n    \"hr\": 93,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J39\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-5650887\",\n  \"product_id\": \"PROD-601157\",\n  \"user_id\": \"ac7725ae-2567-44d1-8d40-a64432b9801b\",\n  \"rating\": 3,\n  \"title\": \"Personal order single check off but my.\",\n  \"content\": \"Key Mrs say because walk old certainly. Product figure event choice.\\nSkill cut plan per side same. Between common join partner kid enter page discover.\",\n  \"date\": \"2026-01-06\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 66\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5650887</review_id>\n<product_id>PROD-601157</product_id>\n<user_id>ac7725ae-2567-44d1-8d40-a64432b9801b</user_id>\n<rating>3</rating>\n<title>Personal order single check off but my.</title>\n<content>Key Mrs say because walk old certainly. Product figure event choice.\nSkill cut plan per side same. Between common join partner kid enter page discover.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>66</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this YAML data into XML format:\nassessment_id: ASMT-893180\nstudent_id: STU-881633\ncourse_id: CRS-6394\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 10\n  points_possible: 10\n- question: 2\n  points_earned: 8\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 10\n  points_possible: 10\n- question: 9\n  points_earned: 5\n  points_possible: 10\ntotal_score: 98\npercentage: 73.06\ngrade: A\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-893180</assessment_id>\n<student_id>STU-881633</student_id>\n<course_id>CRS-6394</course_id>\n<type>quiz</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>98</total_score>\n<percentage>73.06</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Harris Inc\"\nticker = \"KXNS\"\nquarter = \"Q2 2023\"\nrevenue = 96096321\nexpenses = 36366080\nnet_income = 6859279\neps = 2.68\n\n[metrics]\nprofit_margin = 18.37\nroe = 11.92\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5796495\",\n  \"patient_mrn\": \"MRN-496025\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 68.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 121.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\ntitle = \"Stand-alone empowering functionalities 101\"\n[[schedule]]\nweek = 1\ntopic = \"class\"\n\n[[schedule]]\nweek = 2\ntopic = \"leave\"\n\n[[schedule]]\nweek = 3\ntopic = \"develop\"\n\n[[schedule]]\nweek = 4\ntopic = \"style\"\n\n[[schedule]]\nweek = 5\ntopic = \"again\"\n\n[[schedule]]\nweek = 6\ntopic = \"man\"\n\n[[schedule]]\nweek = 7\ntopic = \"list\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntitle: Stand-alone empowering functionalities 101\nschedule:\n- week: 1\n  topic: class\n- week: 2\n  topic: leave\n- week: 3\n  topic: develop\n- week: 4\n  topic: style\n- week: 5\n  topic: again\n- week: 6\n  topic: man\n- week: 7\n  topic: list\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-5704\",\n  \"code\": \"BXM405\",\n  \"title\": \"Profit-focused responsive throughput 101\",\n  \"instructor\": \"Emily Bryan\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"southern\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"raise\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"across\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"teacher\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"service\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"authority\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"second\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"authority\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5704</course_id>\n<code>BXM405</code>\n<title>Profit-focused responsive throughput 101</title>\n<instructor>Emily Bryan</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>southern</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>raise</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>across</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>teacher</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>service</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>authority</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>second</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>authority</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Open-source well-modulated benchmark API\n  version: 1.0.0\npaths:\n  /radio:\n    get:\n      summary: Media star along will.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2337421</total_revenue>\n<units_sold>23839</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3840938</revenue>\n<growth>18.52</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1512471</revenue>\n<growth>13.02</growth>\n</channels>\n<top_products>\n<sku>SKU-1744</sku>\n<sales>276633</sales>\n</top_products>\n<top_products>\n<sku>SKU-5145</sku>\n<sales>26445</sales>\n</top_products>\n<top_products>\n<sku>SKU-9218</sku>\n<sales>412054</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-6036951\"\npatient_mrn = \"MRN-440463\"\nprescriber = \"Lisa Mathews\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-308726\"\nname = \"Cross-platform client-server attitude\"\ncategory = \"electronics\"\nprice = 875.12\ncurrency = \"USD\"\nstock = 161\nis_available = true\nrating = 1.18\nreviews = 705\n\n[specs]\nweight_kg = 37.34\ndimensions = \"78x81x41cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-23186111\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"85951ac5-a9b8-4154-8edc-693bcde245cf\",\n  \"username\": \"srodriguez\",\n  \"content\": \"Stand leave decade year collection. Republican point edge yet business.\\nSuffer accept central against. Cup theory mouth side message.\\nConcern magazine exactly maybe oil difficult.\",\n  \"timestamp\": \"2026-01-07T13:51:25.750515\",\n  \"hashtags\": [\n    \"#community\",\n    \"#whatever\"\n  ],\n  \"engagement\": {\n    \"likes\": 4745,\n    \"shares\": 251,\n    \"comments\": 51\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-23186111</post_id>\n<platform>twitter</platform>\n<user_id>85951ac5-a9b8-4154-8edc-693bcde245cf</user_id>\n<username>srodriguez</username>\n<content>Stand leave decade year collection. Republican point edge yet business.\nSuffer accept central against. Cup theory mouth side message.\nConcern magazine exactly maybe oil difficult.</content>\n<timestamp>2026-01-07T13:51:25.750515</timestamp>\n<hashtags>#community</hashtags>\n<hashtags>#whatever</hashtags>\n<engagement>\n<likes>4745</likes>\n<shares>251</shares>\n<comments>51</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8172649,Rachel Clark,\"Pattern capital time compare include night top. Large than important morning.\nCard authority protect\",Triple-buffered responsive model,2026-01-03T00:35:22.551008,Business,392,\"[\"\"consider\"\", \"\"whatever\"\", \"\"part\"\", \"\"however\"\", \"\"special\"\"]\",49705\r\nART-7189488,Christine Wilson,\"Far six buy seven. Society buy nation opportunity mouth.\nHead production college join. Agree few req\",Robust tangible application,2026-01-01T13:45:21.050601,Business,2651,\"[\"\"unit\"\", \"\"of\"\", \"\"cold\"\", \"\"person\"\", \"\"operation\"\"]\",28623\r\nART-7628523,Robert Rosales,\"Clearly surface must whose.\nState author audience movie tell leg. Find contain begin usually Congres\",User-centric uniform forecast,2026-01-02T21:44:28.404414,Politics,4900,\"[\"\"position\"\", \"\"actually\"\", \"\"cause\"\", \"\"skill\"\"]\",64263\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Reduced 4thgeneration strategy API\n  version: 1.0.0\npaths:\n  /any:\n    get:\n      summary: Card statement bar development.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9525\"\ncode = \"OMQ248\"\ntitle = \"Decentralized directional projection 101\"\ninstructor = \"Lance Myers\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"voice\"\n\n[[schedule]]\nweek = 2\ntopic = \"morning\"\n\n[[schedule]]\nweek = 3\ntopic = \"hospital\"\n\n[[schedule]]\nweek = 4\ntopic = \"field\"\n\n[[schedule]]\nweek = 5\ntopic = \"keep\"\n\n[[schedule]]\nweek = 6\ntopic = \"wall\"\n\n[[schedule]]\nweek = 7\ntopic = \"box\"\n\n[[schedule]]\nweek = 8\ntopic = \"choice\"\n\n[[schedule]]\nweek = 9\ntopic = \"effort\"\n\n[[schedule]]\nweek = 10\ntopic = \"center\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output news article as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-2388619\"\nheadline = \"Switchable tertiary collaboration\"\nauthor = \"Paula Martinez\"\npublished = \"2026-01-07T02:15:35.006278\"\nsection = \"Politics\"\ncontent = \"Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\\nDoor president he always capital.\\nBlack democratic heart read name. Professional billion prepare executive meeting sport.\"\ntags = [ \"hair\", \"democratic\", \"financial\", \"huge\", \"available\",]\nviews = 74003\nshares = 1794\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,798d8b5f-2cf4-47bb-a74b-d98522b2ef7f,98e27369-6460-45b4-b12f-e462d131a4ae,a32c08c4-02d1-40d5-9f0c-2b0633ac28d4,,,WARNING,Market shake respond financial television other company.,,,,,peaceService,\"[\"\"at others.py:318\"\", \"\"at far.py:433\"\", \"\"at vote.py:52\"\", \"\"at money.py:464\"\"]\",2026-01-06T09:43:29.874056,\r\n\"Role spring for fine. Happen home more space class.\nImagine sit science side deal a. School rest bec\",\"[{\"\"name\"\": \"\"Lucas Baker\"\", \"\"affiliation\"\": \"\"Hamilton and Sons\"\", \"\"email\"\": \"\"mhall@example.net\"\"}, {\"\"name\"\":\",424,,,,\"Trevino, Santana and Lewis\",\"[\"\"debate\"\", \"\"tree\"\", \"\"girl\"\"]\",,,arXiv:2022.41901,10.4216/AaAC,Science,2024,,,,Multi-layered actuating data-warehouse\r\nUnder once parent field same. Learn fact religious message. Protect world skin father become.,\"[{\"\"name\"\": \"\"Brittney Lopez\"\", \"\"affiliation\"\": \"\"Thomas, Hensley and Hayes\"\", \"\"email\"\": \"\"coryperez@example.\",146,,,,None,\"[\"\"agency\"\", \"\"technology\"\", \"\"sound\"\"]\",,,arXiv:2021.49351,10.9869/ZLgb,Nature,2021,,,,Vision-oriented empowering focus group\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-25055870\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"28837af0-4898-41b2-8a38-faf0e2d7f431\",\n  \"username\": \"khahn\",\n  \"content\": \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\",\n  \"timestamp\": \"2026-01-07T13:51:27.403909\",\n  \"hashtags\": [\n    \"#conference\",\n    \"#body\"\n  ],\n  \"engagement\": {\n    \"likes\": 9394,\n    \"shares\": 444,\n    \"comments\": 203\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate error log data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Streamlined logistical help-desk API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</grow>\n<get>\n<summary>Will entire deep source history.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//grow>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Streamlined logistical help-desk API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/grow\": {\n      \"get\": {\n        \"summary\": \"Will entire deep source history.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-3637179\",\n  \"product_id\": \"PROD-905516\",\n  \"user_id\": \"cbc145e7-7f32-438c-ba90-61711bf65a15\",\n  \"rating\": 1,\n  \"title\": \"Hand ok join you population.\",\n  \"content\": \"Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 42\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3637179</review_id>\n<product_id>PROD-905516</product_id>\n<user_id>cbc145e7-7f32-438c-ba90-61711bf65a15</user_id>\n<rating>1</rating>\n<title>Hand ok join you population.</title>\n<content>Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>42</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-60159725</txn_id>\n<customer_id>13707a49-23b0-4133-8216-7e83986c9575</customer_id>\n<timestamp>2026-01-07T13:51:27.689251</timestamp>\n<items>\n<sku>SKU-82899</sku>\n<qty>5</qty>\n<price>298.29</price>\n</items>\n<items>\n<sku>SKU-51515</sku>\n<qty>4</qty>\n<price>343.78</price>\n</items>\n<items>\n<sku>SKU-53336</sku>\n<qty>3</qty>\n<price>488.21</price>\n</items>\n<items>\n<sku>SKU-52517</sku>\n<qty>2</qty>\n<price>291.79</price>\n</items>\n<subtotal>1914.1</subtotal>\n<tax>175.88</tax>\n<total>1360.6</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-60159725\",\n  \"customer_id\": \"13707a49-23b0-4133-8216-7e83986c9575\",\n  \"timestamp\": \"2026-01-07T13:51:27.689251\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-82899\",\n      \"qty\": 5,\n      \"price\": 298.29\n    },\n    {\n      \"sku\": \"SKU-51515\",\n      \"qty\": 4,\n      \"price\": 343.78\n    },\n    {\n      \"sku\": \"SKU-53336\",\n      \"qty\": 3,\n      \"price\": 488.21\n    },\n    {\n      \"sku\": \"SKU-52517\",\n      \"qty\": 2,\n      \"price\": 291.79\n    }\n  ],\n  \"subtotal\": 1914.1,\n  \"tax\": 175.88,\n  \"total\": 1360.6,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-32645861\nplatform: facebook\nuser_id: b5521d05-1410-43ee-b828-2c240f95461c\nusername: yanderson\ncontent: Example suggest around pattern small everybody. Rate watch blue walk test\n  camera. Partner decide leave really.\ntimestamp: '2026-01-07T13:51:27.526455'\nhashtags:\n- '#door'\n- '#relate'\nengagement:\n  likes: 5828\n  shares: 957\n  comments: 117\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-942720</experiment_id>\n<title>Effect of edge on when</title>\n<methodology>\n<design>cohort</design>\n<sample_size>645</sample_size>\n<duration_days>54</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>79.64</baseline>\n<endpoint>26.86</endpoint>\n<p_value>0.2863</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>55.57</baseline>\n<endpoint>59.78</endpoint>\n<p_value>0.1705</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>30.69</baseline>\n<endpoint>27.4</endpoint>\n<p_value>0.1116</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.07</baseline>\n<endpoint>35.79</endpoint>\n<p_value>0.1946</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-942720\",\n  \"title\": \"Effect of edge on when\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 645,\n    \"duration_days\": 54\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 79.64,\n      \"endpoint\": 26.86,\n      \"p_value\": 0.2863\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 55.57,\n      \"endpoint\": 59.78,\n      \"p_value\": 0.1705\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 30.69,\n      \"endpoint\": 27.4,\n      \"p_value\": 0.1116\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.07,\n      \"endpoint\": 35.79,\n      \"p_value\": 0.1946\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output contract as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-464030\",\n  \"parties\": [\n    {\n      \"name\": \"Morales, Williams and Williams\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Ward-Miller\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 35,\n  \"value\": 994957,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>e78ff1cc-d984-499d-9fcf-126ccada9355</error_id>\n<timestamp>2026-01-07T13:51:26.607679</timestamp>\n<level>WARNING</level>\n<service>generationService</service>\n<message>Bag difference growth have leader yeah him.</message>\n<stack_trace>at teach.py:30</stack_trace>\n<stack_trace>at poor.py:409</stack_trace>\n<context>\n<user_id>e8daac99-0bad-4fb0-ae26-78525528db85</user_id>\n<request_id>a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-624670,,CRS-7089,,2026-01-03,C,,,,,89.45,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 10, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"p\",STU-934013,,,71,exam\r\n,IRO368,CRS-5428,3,,,40,30,30,Kimberly Bryant,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"save\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"relate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"reality\"\"}, {\"\"we\",,,Spring 2022,Quality-focused uniform task-force 101,,\r\n,CZR407,CRS-2038,3,,,40,30,30,Richard Warren,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"down\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"listen\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"say\"\"}, {\"\"week\"\":\",,,Spring 2023,Inverse secondary extranet 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Curry and Yates</company>\n<ticker>KWAZ</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>4863925</revenue>\n<expenses>55129980</expenses>\n<net_income>12179320</net_income>\n<eps>7.94</eps>\n<metrics>\n<profit_margin>29.26</profit_margin>\n<roe>9.63</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Rodriguez, Curry and Yates\",7.94,55129980,29.26,9.63,12179320,Q1 2020,4863925,KWAZ\r\nJones-Vincent,4.65,31539722,13.67,22.7,14909526,Q2 2021,54014313,YZAO\r\nJimenez-Bean,1.76,54891353,26.24,6.62,12331228,Q3 2020,4701481,PBCO\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-69367106</post_id>\n<platform>twitter</platform>\n<user_id>7643b70d-1c60-436f-974e-7bc6cee5e032</user_id>\n<username>gordonalexander</username>\n<content>See personal couple road president most next. Laugh teach lawyer character work present.\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.</content>\n<timestamp>2026-01-07T13:51:25.991400</timestamp>\n<hashtags>#PM</hashtags>\n<hashtags>#stage</hashtags>\n<hashtags>#government</hashtags>\n<engagement>\n<likes>1911</likes>\n<shares>761</shares>\n<comments>62</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nvitals:\n  bp: 131/104\n  hr: 84\n  temp_f: 99.9\nnote_id: CN-3823498\nencounter_date: '2026-01-06'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate = \"2026-01-04\"\npatient_mrn = \"MRN-588828\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-4369936,Hunter May,\"Clearly different front activity. Piece real new source prove officer. Who southern firm join.\nFinan\",Digitized fault-tolerant Internet solution,2026-01-01T15:33:08.589917,Tech,4853,\"[\"\"also\"\", \"\"describe\"\", \"\"score\"\", \"\"glass\"\", \"\"cultural\"\"]\",22504\r\nART-8478151,Patricia Anderson,Work tax pass popular. Knowledge interesting machine deep. Enjoy computer wide myself community bit.,Cross-platform even-keeled matrices,2026-01-01T00:09:31.787210,Business,613,\"[\"\"full\"\", \"\"soon\"\", \"\"month\"\", \"\"federal\"\", \"\"try\"\"]\",75763\r\nART-1363915,Allen Moon,\"Risk form wonder nice enjoy system view least. Program maybe air.\nAbout glass go. Together doctor Re\",Stand-alone hybrid application,2026-01-04T17:08:01.264806,Business,1343,\"[\"\"impact\"\", \"\"music\"\", \"\"bit\"\", \"\"himself\"\", \"\"chance\"\"]\",65650\r\nART-7715888,Melissa Leach,Be service whole want factor law. Month you perform medical money carry. Reach cost wish movie admin,Total maximized adapter,2026-01-05T17:36:07.376791,Business,1867,\"[\"\"firm\"\", \"\"suddenly\"\", \"\"public\"\"]\",30445\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"vitals\": {\n    \"bp\": \"97/107\",\n    \"hr\": 107,\n    \"temp_f\": 99.6\n  },\n  \"patient\": {\n    \"mrn\": \"MRN-705297\",\n    \"age\": 67,\n    \"gender\": \"F\"\n  },\n  \"chief_complaint\": \"chest pain\",\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K41\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J91\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J64\"\n    }\n  ],\n  \"note_id\": \"CN-6154695\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nClark-Pearson,,54498119,,,,,,OKCY\r\nVasquez-Rivera,2.43,27692062,7.78,17.16,10417989,Q4 2022,52572071,BITM\r\n\"Moreno, Sanchez and Barker\",8.48,3120252,28.3,10.73,2344594,Q3 2021,51185832,CDDE\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"paper_id\": \"arXiv:2023.99214\",\n  \"title\": \"Integrated mobile database\",\n  \"authors\": [\n    {\n      \"name\": \"Clayton Martinez\",\n      \"affiliation\": \"Flores, Levy and Farmer\",\n      \"email\": \"kathy80@example.org\"\n    },\n    {\n      \"name\": \"Susan Bennett\",\n      \"affiliation\": \"Collins, Daniel and Lyons\",\n      \"email\": \"shawnjefferson@example.org\"\n    }\n  ],\n  \"abstract\": \"Full with spend role first drive. Want man instead today bed hand character.\",\n  \"keywords\": [\n    \"bed\",\n    \"very\",\n    \"population\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.4640/CkqB\"\n  },\n  \"citations\": 395,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.99214</paper_id>\n<title>Integrated mobile database</title>\n<authors>\n<name>Clayton Martinez</name>\n<affiliation>Flores, Levy and Farmer</affiliation>\n<email>kathy80@example.org</email>\n</authors>\n<authors>\n<name>Susan Bennett</name>\n<affiliation>Collins, Daniel and Lyons</affiliation>\n<email>shawnjefferson@example.org</email>\n</authors>\n<abstract>Full with spend role first drive. Want man instead today bed hand character.</abstract>\n<keywords>bed</keywords>\n<keywords>very</keywords>\n<keywords>population</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.4640/CkqB</doi>\n</publication>\n<citations>395</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Pre-emptive interactive encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/air\": {\n      \"get\": {\n        \"summary\": \"Final democratic whatever event director guy.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Pre-emptive interactive encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</air>\n<get>\n<summary>Final democratic whatever event director guy.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//air>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-946690\"\nstudent_id = \"STU-268675\"\ncourse_id = \"CRS-1216\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 81\npercentage = 50.49\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nresult_id = \"LAB-2441646\"\npatient_mrn = \"MRN-228148\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 81.9\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 107.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 101.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 197.9\nunit = \"g/dL\"\nflag = \"low\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-228148,LAB-2441646,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 81.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 107.7,\"\r\n2026-01-05,Lipid,MRN-127739,LAB-8358813,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 75.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 78.9, \"\"uni\"\r\n2026-01-05,CMP,MRN-631274,LAB-1949999,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 89.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-03,Lipid,MRN-439326,LAB-3095529,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 115.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 108.5, \"\"u\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-137327</experiment_id>\n<title>Effect of class on read</title>\n<methodology>\n<design>RCT</design>\n<sample_size>679</sample_size>\n<duration_days>111</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>73.26</baseline>\n<endpoint>72.84</endpoint>\n<p_value>0.0533</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>49.24</baseline>\n<endpoint>28.3</endpoint>\n<p_value>0.0809</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-436609\"\nstudent_id = \"STU-981453\"\ncourse_id = \"CRS-9153\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 51\npercentage = 95.63\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\ncustomer_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\n40d5c2fa-d45f-46d0-8fb5-912b29691f53,\"[{\"\"sku\"\": \"\"SKU-63266\"\", \"\"qty\"\": 4, \"\"price\"\": 427.22}, {\"\"sku\"\": \"\"SKU-35151\"\", \"\"qty\"\": 5, \"\"price\"\": 360.57}]\",credit_card,199.5,14.18,2026-01-07T13:51:26.164477,1360.45,TXN-60689807\r\nd5a8d4eb-0a45-4682-beb8-8cb84689c4fa,\"[{\"\"sku\"\": \"\"SKU-91094\"\", \"\"qty\"\": 2, \"\"price\"\": 158.74}, {\"\"sku\"\": \"\"SKU-24275\"\", \"\"qty\"\": 4, \"\"price\"\": 37.25}, {\"\"\",credit_card,1921.94,159.34,2026-01-07T13:51:26.164521,1244.14,TXN-22923057\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntxn_id: TXN-30876983\ncustomer_id: b5aca191-66fe-49e0-85ce-2d363d5ef454\ntimestamp: '2026-01-07T13:51:26.163076'\nitems:\n- sku: SKU-56664\n  qty: 2\n  price: 285.83\n- sku: SKU-25305\n  qty: 1\n  price: 45.15\n- sku: SKU-78820\n  qty: 4\n  price: 47.49\nsubtotal: 199.93\ntax: 118.13\ntotal: 913.78\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Enterprise-wide discrete encoding API\n  version: 1.0.0\npaths:\n  /land:\n    get:\n      summary: Only deal American this.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n9090a0a6-3421-4a93-9d6e-78b6a1f8fed7,\"[{\"\"sku\"\": \"\"SKU-33525\"\", \"\"qty\"\": 3, \"\"price\"\": 130.6}]\",apple_pay,793.41,85.16,2026-01-07T13:51:27.692524,1645.24,TXN-95106885\r\n86a44613-04a4-42fe-9f17-d36f56e72a16,\"[{\"\"sku\"\": \"\"SKU-36909\"\", \"\"qty\"\": 1, \"\"price\"\": 60.14}, {\"\"sku\"\": \"\"SKU-49823\"\", \"\"qty\"\": 5, \"\"price\"\": 406.68}, {\"\"\",apple_pay,624.04,16.36,2026-01-07T13:51:27.693375,1135.24,TXN-20589055\r\n342e6dec-1677-43a9-a2d8-11dcc43eb2b3,\"[{\"\"sku\"\": \"\"SKU-94897\"\", \"\"qty\"\": 1, \"\"price\"\": 71.61}, {\"\"sku\"\": \"\"SKU-65129\"\", \"\"qty\"\": 5, \"\"price\"\": 202.05}]\",credit_card,60.8,177.08,2026-01-07T13:51:27.693445,1399.3,TXN-88260739\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-883806</experiment_id>\n<title>Effect of there on wife</title>\n<methodology>\n<design>observational</design>\n<sample_size>200</sample_size>\n<duration_days>32</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>15.64</baseline>\n<endpoint>83.3</endpoint>\n<p_value>0.4248</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>36.36</baseline>\n<endpoint>63.05</endpoint>\n<p_value>0.0775</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate contract data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-107775\nparties:\n- name: Stuart Inc\n  role: party_a\n- name: Kim Group\n  role: party_b\neffective_date: '2026-01-05'\nterm_months: 20\nvalue: 290266\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Universal eco-centric approach,208.68,PROD-125540,4.53,925,45x91x83cm,20.35,879\r\nbooks,USD,True,Multi-channeled zero-defect data-warehouse,217.23,PROD-945438,2.92,542,27x49x90cm,32.98,221\r\nelectronics,USD,True,Quality-focused cohesive budgetary management,918.44,PROD-425720,4.68,599,49x93x50cm,34.53,435\r\nclothing,USD,True,Enhanced uniform paradigm,272.01,PROD-700627,3.32,377,45x52x53cm,13.1,49\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"period\": \"September 2023\",\n  \"total_revenue\": 9732569,\n  \"units_sold\": 38507,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4979277,\n      \"growth\": 36.06\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4800863,\n      \"growth\": 8.87\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5649\",\n      \"sales\": 311811\n    },\n    {\n      \"sku\": \"SKU-1879\",\n      \"sales\": 391924\n    },\n    {\n      \"sku\": \"SKU-4665\",\n      \"sales\": 317392\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: September 2023\ntotal_revenue: 9732569\nunits_sold: 38507\nchannels:\n- name: retail\n  revenue: 4979277\n  growth: 36.06\n- name: wholesale\n  revenue: 4800863\n  growth: 8.87\ntop_products:\n- sku: SKU-5649\n  sales: 311811\n- sku: SKU-1879\n  sales: 391924\n- sku: SKU-4665\n  sales: 317392\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvasta\",MRN-726192,Jessica Warner,RX-3022361\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-335598,Misty Cooper,RX-5948180\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-524531,Amy Jordan,RX-7497516\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-192120,Nathan Castillo,RX-8671520\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-265671,Sara Smith,RX-7538900\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-3022361\npatient_mrn: MRN-726192\nprescriber: Jessica Warner\ndate: '2026-01-02'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-110536\nname: Organized didactic parallelism\ncategory: clothing\nprice: 68.12\ncurrency: USD\nstock: 153\nis_available: true\nrating: 1.45\nreviews: 277\nspecs:\n  weight_kg: 1.85\n  dimensions: 33x70x14cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Organic analyzing strategy API\"\nversion = \"1.0.0\"\n\n[paths.\"/similar\".get]\nsummary = \"Natural see lot recently.\"\n[[paths.\"/similar\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/similar\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/similar\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/similar\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3041313</note_id>\n<patient>\n<mrn>MRN-164256</mrn>\n<age>45</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>153/76</bp>\n<hr>98</hr>\n<temp_f>102.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I84</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J93</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-3041313\",\n  \"patient\": {\n    \"mrn\": \"MRN-164256\",\n    \"age\": 45,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"153/76\",\n    \"hr\": 98,\n    \"temp_f\": 102.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I84\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-168652\",\n  \"title\": \"Effect of green on from\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 797,\n    \"duration_days\": 186\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 24.16,\n      \"endpoint\": 44.82,\n      \"p_value\": 0.0559\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 16.54,\n      \"endpoint\": 28.48,\n      \"p_value\": 0.2997\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-168652</experiment_id>\n<title>Effect of green on from</title>\n<methodology>\n<design>cohort</design>\n<sample_size>797</sample_size>\n<duration_days>186</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>24.16</baseline>\n<endpoint>44.82</endpoint>\n<p_value>0.0559</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>16.54</baseline>\n<endpoint>28.48</endpoint>\n<p_value>0.2997</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"credits\": 4,\n  \"course_id\": \"CRS-7759\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"around\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"college\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"fly\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"painting\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"size\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"off\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"point\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"light\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"nothing\"\n    }\n  ],\n  \"instructor\": \"Matthew Johnson\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-830951\",\n  \"name\": \"Multi-layered tangible superstructure\",\n  \"category\": \"clothing\",\n  \"price\": 269.31,\n  \"currency\": \"USD\",\n  \"stock\": 322,\n  \"is_available\": true,\n  \"rating\": 2.21,\n  \"reviews\": 733,\n  \"specs\": {\n    \"weight_kg\": 46.04,\n    \"dimensions\": \"75x77x31cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-830951</product_id>\n<name>Multi-layered tangible superstructure</name>\n<category>clothing</category>\n<price>269.31</price>\n<currency>USD</currency>\n<stock>322</stock>\n<is_available>True</is_available>\n<rating>2.21</rating>\n<reviews>733</reviews>\n<specs>\n<weight_kg>46.04</weight_kg>\n<dimensions>75x77x31cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-744456\nstudent_id: STU-954920\ncourse_id: CRS-3021\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 7\n  points_possible: 10\n- question: 2\n  points_earned: 2\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 9\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 10\n  points_possible: 10\n- question: 7\n  points_earned: 5\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 9\n  points_possible: 10\n- question: 10\n  points_earned: 3\n  points_possible: 10\n- question: 11\n  points_earned: 9\n  points_possible: 10\n- question: 12\n  points_earned: 9\n  points_possible: 10\ntotal_score: 97\npercentage: 89.67\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8172649</article_id>\n<headline>Triple-buffered responsive model</headline>\n<author>Rachel Clark</author>\n<published>2026-01-03T00:35:22.551008</published>\n<section>Business</section>\n<content>Pattern capital time compare include night top. Large than important morning.\nCard authority protect present return while middle. Development miss write five.</content>\n<tags>consider</tags>\n<tags>whatever</tags>\n<tags>part</tags>\n<tags>however</tags>\n<tags>special</tags>\n<views>49705</views>\n<shares>392</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Snow, Shelton and Parsons\",3.41,3428077,11.21,5.99,8543670,Q3 2022,49988929,LYEH\r\nBanks-Smith,9.64,68319717,19.03,14.01,18208702,Q2 2024,91532444,DPCJ\r\n\"Alexander, Thornton and Kent\",5.5,14925320,12.8,17.55,18357640,Q3 2020,2193726,ETLI\r\nAllen and Sons,5.08,6947789,29.14,20.84,17582508,Q2 2023,8077658,NWDY\r\nMiller Group,2.92,30244581,6.27,13.83,6204115,Q3 2022,52960865,LHZE\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Johnson, Johnson and Mcfarland\nticker: PXNH\nquarter: Q2 2021\nrevenue: 54602466\nexpenses: 22120450\nnet_income: 4784888\neps: 5.31\nmetrics:\n  profit_margin: 19.46\n  roe: 15.18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<credits>4</credits>\n<course_id>CRS-7759</course_id>\n<schedule>\n<week>1</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>around</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>college</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>fly</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>painting</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>size</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>off</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>point</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>light</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>nothing</topic>\n</schedule>\n<instructor>Matthew Johnson</instructor>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Persevering homogeneous application API\n  version: 1.0.0\npaths:\n  /generation:\n    get:\n      summary: Explain people tonight.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-9546377\nproduct_id: PROD-108034\nuser_id: d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77\nrating: 4\ntitle: Appear speak sure list.\ncontent: Today offer none role certain reach. Second Mr official enjoy movement turn\n  city. Name employee early much first sit.\ndate: '2026-01-01'\nverified_purchase: true\nhelpful_votes: 43\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\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", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>7af25ba6-3e63-43d5-89e6-c5a6b377b923</error_id>\n<timestamp>2026-01-07T13:51:26.975438</timestamp>\n<level>CRITICAL</level>\n<service>downService</service>\n<message>Prevent true movie stop.</message>\n<stack_trace>at hand.py:436</stack_trace>\n<stack_trace>at whose.py:275</stack_trace>\n<stack_trace>at information.py:57</stack_trace>\n<stack_trace>at central.py:306</stack_trace>\n<context>\n<user_id>dc348ded-7e54-44aa-bfc8-75caf977ffdf</user_id>\n<request_id>cc597ab0-ad26-419a-8cbb-1facc38a2f79</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-9141\",\n  \"code\": \"ESH384\",\n  \"title\": \"Inverse real-time hardware 101\",\n  \"instructor\": \"Matthew Boyd\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"since\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"tree\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"how\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"test\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"half\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9141</course_id>\n<code>ESH384</code>\n<title>Inverse real-time hardware 101</title>\n<instructor>Matthew Boyd</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>since</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>tree</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>how</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>test</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>half</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"title\": \"Effect of main on stand\",\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.39,\n      \"endpoint\": 61.09,\n      \"p_value\": 0.3936\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 99.02,\n      \"endpoint\": 82.38,\n      \"p_value\": 0.0752\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.16,\n      \"endpoint\": 58.56,\n      \"p_value\": 0.1239\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 41.74,\n      \"endpoint\": 45.99,\n      \"p_value\": 0.0661\n    }\n  ],\n  \"experiment_id\": \"EXP-681166\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 875,\n    \"duration_days\": 212\n  },\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<title>Effect of main on stand</title>\n<results>\n<metric>efficacy</metric>\n<baseline>50.39</baseline>\n<endpoint>61.09</endpoint>\n<p_value>0.3936</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>99.02</baseline>\n<endpoint>82.38</endpoint>\n<p_value>0.0752</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>94.16</baseline>\n<endpoint>58.56</endpoint>\n<p_value>0.1239</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>41.74</baseline>\n<endpoint>45.99</endpoint>\n<p_value>0.0661</p_value>\n</results>\n<experiment_id>EXP-681166</experiment_id>\n<methodology>\n<design>RCT</design>\n<sample_size>875</sample_size>\n<duration_days>212</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from TOML to JSON:\nerror_id = \"c6e14566-270a-4a5f-a250-5239ca9174ac\"\ntimestamp = \"2026-01-07T13:51:26.338486\"\nlevel = \"ERROR\"\nservice = \"humanService\"\nmessage = \"Fear she east talk better central.\"\nstack_trace = [ \"at college.py:218\", \"at economy.py:209\", \"at let.py:252\", \"at whole.py:18\",]\n\n[context]\nuser_id = \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\"\nrequest_id = \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"c6e14566-270a-4a5f-a250-5239ca9174ac\",\n  \"timestamp\": \"2026-01-07T13:51:26.338486\",\n  \"level\": \"ERROR\",\n  \"service\": \"humanService\",\n  \"message\": \"Fear she east talk better central.\",\n  \"stack_trace\": [\n    \"at college.py:218\",\n    \"at economy.py:209\",\n    \"at let.py:252\",\n    \"at whole.py:18\"\n  ],\n  \"context\": {\n    \"user_id\": \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\",\n    \"request_id\": \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.65510</paper_id>\n<title>Mandatory solution-oriented groupware</title>\n<authors>\n<name>Jared Fuller</name>\n<affiliation>Robinson, Crawford and Johnson</affiliation>\n<email>jenna58@example.net</email>\n</authors>\n<authors>\n<name>Nancy Anderson</name>\n<affiliation>Shannon-Johnson</affiliation>\n<email>richdonald@example.net</email>\n</authors>\n<authors>\n<name>Julia Neal</name>\n<affiliation>Roach, Harper and Cameron</affiliation>\n<email>gillcory@example.com</email>\n</authors>\n<abstract>Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.</abstract>\n<keywords>surface</keywords>\n<keywords>consumer</keywords>\n<keywords>despite</keywords>\n<keywords>compare</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.8909/Qnkv</doi>\n</publication>\n<citations>488</citations>\n<funding_source>Johnson LLC</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3508494</note_id>\n<patient>\n<mrn>MRN-721804</mrn>\n<age>51</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>130/109</bp>\n<hr>78</hr>\n<temp_f>100.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K96</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K86</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K86\"\"}]\",chest pain,2026-01-06,CN-3508494,51,F,MRN-721804,130/109,78,100.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K17\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J67\"\"}]\",fever,2026-01-02,CN-1032122,33,M,MRN-189971,110/100,67,98.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I12\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I33\"\"}]\",fever,2026-01-03,CN-2816717,66,F,MRN-696491,159/73,67,100.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J14\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J24\"\"}]\",fever,2026-01-05,CN-9087372,53,M,MRN-814814,125/100,63,101.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9458448\npatient_mrn: MRN-362998\nprescriber: Courtney Hansen\ndate: '2026-01-02'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-58559815</post_id>\n<platform>instagram</platform>\n<user_id>0fae79ab-dabb-47f5-823b-f22743181c7c</user_id>\n<username>ortizkristina</username>\n<content>Speech can sea play. Season near story animal remain.\nOff present vote wall. Society know family build. Certain thing live rise.</content>\n<timestamp>2026-01-07T13:51:26.463560</timestamp>\n<hashtags>#once</hashtags>\n<hashtags>#it</hashtags>\n<hashtags>#rich</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>248</likes>\n<shares>32</shares>\n<comments>161</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.57295</paper_id>\n<title>Persevering global groupware</title>\n<authors>\n<name>Edwin Moore</name>\n<affiliation>Smith-Jones</affiliation>\n<email>bowenzachary@example.net</email>\n</authors>\n<authors>\n<name>Anna Collins</name>\n<affiliation>Thomas, Rogers and Baldwin</affiliation>\n<email>thill@example.com</email>\n</authors>\n<authors>\n<name>Mrs. Mary Delacruz MD</name>\n<affiliation>French, Rodriguez and Johnson</affiliation>\n<email>amywest@example.org</email>\n</authors>\n<abstract>Stand season mind indicate either. Buy gas keep skin.</abstract>\n<keywords>stock</keywords>\n<keywords>member</keywords>\n<keywords>laugh</keywords>\n<keywords>language</keywords>\n<keywords>right</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.9461/HDZk</doi>\n</publication>\n<citations>204</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-530397</assessment_id>\n<student_id>STU-509684</student_id>\n<course_id>CRS-8191</course_id>\n<type>quiz</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>13</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>14</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>91</total_score>\n<percentage>61.03</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-530397,,CRS-8191,,2026-01-01,A,,,,,61.03,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 3, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 5, \"\"po\",STU-509684,,,91,quiz\r\n,ICK407,CRS-5936,3,,,40,30,30,Ashley Johnson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"energy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"it\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"day\"\"}, {\"\"week\"\": 4\",,,Spring 2021,Fully-configurable mobile function 101,,\r\n,OSR350,CRS-3047,4,,,40,30,30,Warren Ortiz,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"poor\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"when\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"as\"\"}, {\"\"week\"\": 4,\",,,Spring 2021,Programmable multi-tasking complexity 101,,\r\n,VQW327,CRS-3627,4,,,40,30,30,Sandra Bell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"feeling\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"each\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"sing\"\"}, {\"\"week\",,,Spring 2021,Upgradable intangible methodology 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1091357,Veronica Perez,\"Growth physical guy hold attention. Ago window important herself discuss body system.\nWord interest \",Progressive solution-oriented benchmark,2026-01-04T23:19:54.143199,Sports,2292,\"[\"\"girl\"\", \"\"who\"\", \"\"rock\"\"]\",72066\r\nART-3278271,Jill Lewis,\"Attack hundred six professor.\nReady party score. Able result key tend forget western.\nSuffer environ\",Adaptive hybrid open system,2026-01-02T03:11:20.548784,Business,2846,\"[\"\"adult\"\", \"\"her\"\", \"\"yourself\"\", \"\"later\"\"]\",95012\r\nART-9247793,Paula Hayden,\"Special sea notice chance read less. Their since every.\nWhat child teacher available. Since determin\",Operative discrete success,2026-01-04T18:30:06.489176,Politics,3905,\"[\"\"from\"\", \"\"soon\"\", \"\"coach\"\", \"\"father\"\", \"\"size\"\"]\",54681\r\nART-6020026,Dr. Joshua White,\"Next one allow prove away cup stage. Food amount back.\nLocal apply evidence. All some contain genera\",Reduced demand-driven benchmark,2026-01-05T06:05:09.601563,Sports,1644,\"[\"\"baby\"\", \"\"into\"\", \"\"ability\"\", \"\"create\"\"]\",19209\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>03dcbba2-8070-483e-a807-51e4c6301bf5</error_id>\n<timestamp>2026-01-07T13:51:27.875594</timestamp>\n<level>WARNING</level>\n<service>stockService</service>\n<message>Feel garden dark.</message>\n<stack_trace>at another.py:304</stack_trace>\n<stack_trace>at happy.py:331</stack_trace>\n<stack_trace>at record.py:415</stack_trace>\n<context>\n<user_id>cedcf075-a01b-42e9-acdc-a300ea843992</user_id>\n<request_id>acbfd7fd-a4ab-431b-a098-ac4537826f14</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"03dcbba2-8070-483e-a807-51e4c6301bf5\",\n  \"timestamp\": \"2026-01-07T13:51:27.875594\",\n  \"level\": \"WARNING\",\n  \"service\": \"stockService\",\n  \"message\": \"Feel garden dark.\",\n  \"stack_trace\": [\n    \"at another.py:304\",\n    \"at happy.py:331\",\n    \"at record.py:415\"\n  ],\n  \"context\": {\n    \"user_id\": \"cedcf075-a01b-42e9-acdc-a300ea843992\",\n    \"request_id\": \"acbfd7fd-a4ab-431b-a098-ac4537826f14\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.49729\ntitle: Optimized fault-tolerant monitoring\nauthors:\n- name: Ashley Hubbard\n  affiliation: Mcdonald-White\n  email: jenniferlong@example.net\n- name: Erica Marshall\n  affiliation: Calderon-Dalton\n  email: adouglas@example.org\n- name: Mercedes Campbell\n  affiliation: Davis-Lynch\n  email: yharris@example.org\nabstract: 'Relate make read game soldier new. Agree south attorney one century drive\n  draw.\n\n  Reduce head tax certainly offer deal. Sister station adult seat wear.'\nkeywords:\n- gas\n- understand\n- everything\n- miss\npublication:\n  venue: Cell\n  year: 2024\n  doi: 10.3465/hMKF\ncitations: 65\nfunding_source: Parsons Inc\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-893180\"\nstudent_id = \"STU-881633\"\ncourse_id = \"CRS-6394\"\ntype = \"quiz\"\ndate = \"2026-01-03\"\ntotal_score = 98\npercentage = 73.06\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4504067</result_id>\n<patient_mrn>MRN-266543</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>181.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>164.3</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>140.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>113.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-4504067\",\n  \"patient_mrn\": \"MRN-266543\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 181.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 164.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 113.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output sales analytics as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 7500818,\n  \"units_sold\": 73950,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 528123,\n      \"growth\": 12.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1160273,\n      \"growth\": 23.93\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6153\",\n      \"sales\": 328911\n    },\n    {\n      \"sku\": \"SKU-4483\",\n      \"sales\": 21251\n    },\n    {\n      \"sku\": \"SKU-5114\",\n      \"sales\": 21486\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 6503980,\n  \"units_sold\": 7670,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3279241,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1469640,\n      \"growth\": 16.07\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8081\",\n      \"sales\": 71747\n    },\n    {\n      \"sku\": \"SKU-8211\",\n      \"sales\": 475825\n    },\n    {\n      \"sku\": \"SKU-4565\",\n      \"sales\": 485553\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>6503980</total_revenue>\n<units_sold>7670</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3279241</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1469640</revenue>\n<growth>16.07</growth>\n</channels>\n<top_products>\n<sku>SKU-8081</sku>\n<sales>71747</sales>\n</top_products>\n<top_products>\n<sku>SKU-8211</sku>\n<sales>475825</sales>\n</top_products>\n<top_products>\n<sku>SKU-4565</sku>\n<sales>485553</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.73738</paper_id>\n<title>Switchable maximized Local Area Network</title>\n<authors>\n<name>Heather Lee</name>\n<affiliation>Garcia, Ellison and Kim</affiliation>\n<email>kimberlysimpson@example.com</email>\n</authors>\n<authors>\n<name>Jeremy Gonzalez</name>\n<affiliation>Wilson, Sanchez and Copeland</affiliation>\n<email>michelle83@example.com</email>\n</authors>\n<authors>\n<name>Brianna Hart</name>\n<affiliation>Shannon, Tran and Taylor</affiliation>\n<email>penatyler@example.net</email>\n</authors>\n<abstract>List son shake understand food. Up no police friend factor. Support company yes push argue.</abstract>\n<keywords>fact</keywords>\n<keywords>guess</keywords>\n<keywords>truth</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.7028/ttmb</doi>\n</publication>\n<citations>36</citations>\n<funding_source>Guerra, Richards and Schaefer</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7237\"\ncode = \"JRB382\"\ntitle = \"Decentralized motivating standardization 101\"\ninstructor = \"Ryan Jenkins\"\ncredits = 3\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"throughout\"\n\n[[schedule]]\nweek = 2\ntopic = \"buy\"\n\n[[schedule]]\nweek = 3\ntopic = \"beat\"\n\n[[schedule]]\nweek = 4\ntopic = \"site\"\n\n[[schedule]]\nweek = 5\ntopic = \"bank\"\n\n[[schedule]]\nweek = 6\ntopic = \"reach\"\n\n[[schedule]]\nweek = 7\ntopic = \"set\"\n\n[[schedule]]\nweek = 8\ntopic = \"today\"\n\n[[schedule]]\nweek = 9\ntopic = \"responsibility\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.87771\ntitle: User-centric stable ability\nauthors:\n- name: Todd Hall MD\n  affiliation: Nunez-Nguyen\n  email: grhodes@example.net\n- name: Makayla Long\n  affiliation: Stanley, Sellers and Jones\n  email: johnsontammy@example.net\nabstract: Behavior skin nation pay behind remain. Then put again. Process participant\n  current all.\nkeywords:\n- design\n- him\n- blue\n- less\n- fine\npublication:\n  venue: Nature\n  year: 2020\n  doi: 10.6248/yEgY\ncitations: 194\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Harris Inc</company>\n<ticker>KXNS</ticker>\n<quarter>Q2 2023</quarter>\n<revenue>96096321</revenue>\n<expenses>36366080</expenses>\n<net_income>6859279</net_income>\n<eps>2.68</eps>\n<metrics>\n<profit_margin>18.37</profit_margin>\n<roe>11.92</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Harris Inc\",\n  \"ticker\": \"KXNS\",\n  \"quarter\": \"Q2 2023\",\n  \"revenue\": 96096321,\n  \"expenses\": 36366080,\n  \"net_income\": 6859279,\n  \"eps\": 2.68,\n  \"metrics\": {\n    \"profit_margin\": 18.37,\n    \"roe\": 11.92\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-690622</experiment_id>\n<title>Effect of drug on effect</title>\n<methodology>\n<design>RCT</design>\n<sample_size>718</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>65.65</baseline>\n<endpoint>47.19</endpoint>\n<p_value>0.4009</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>18.88</baseline>\n<endpoint>49.79</endpoint>\n<p_value>0.0184</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.37</baseline>\n<endpoint>97.44</endpoint>\n<p_value>0.3919</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2627881\"\npatient_mrn = \"MRN-995588\"\norder_date = \"2026-01-05\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 74.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 151.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 54.0\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 154.1\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1748125\nheadline: Customizable leadingedge structure\nauthor: Sandra Bennett\npublished: '2026-01-03T22:52:42.741679'\nsection: Sports\ncontent: 'Majority meeting sound have week public pass. Major food relate spend seven.\n\n  Indeed run fund.\n\n  Federal right stuff difficult alone miss. Stuff rest model job deep knowledge pull\n  force. Too follow face husband every. Hit important agreement rather card west want.'\ntags:\n- subject\n- attention\n- class\n- campaign\n- second\nviews: 63827\nshares: 2505\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-79156891\",\n  \"customer_id\": \"5450ecc9-30b8-498f-a527-04ec3de16dd8\",\n  \"timestamp\": \"2026-01-07T13:51:26.258900\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-81880\",\n      \"qty\": 4,\n      \"price\": 401.7\n    },\n    {\n      \"sku\": \"SKU-99718\",\n      \"qty\": 5,\n      \"price\": 334.37\n    },\n    {\n      \"sku\": \"SKU-65882\",\n      \"qty\": 3,\n      \"price\": 292.8\n    },\n    {\n      \"sku\": \"SKU-88201\",\n      \"qty\": 2,\n      \"price\": 114.91\n    }\n  ],\n  \"subtotal\": 258.62,\n  \"tax\": 22.79,\n  \"total\": 1713.37,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-330074\",\n  \"title\": \"Effect of politics on stop\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 328,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.54,\n      \"endpoint\": 53.32,\n      \"p_value\": 0.0487\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 10.4,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.1164\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 78.27,\n      \"endpoint\": 47.78,\n      \"p_value\": 0.0781\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Issue suddenly such maybe. Military they second staff end agreement.\nClose that speech alone know wi\",,2026-01-02,34,,,,PROD-245093,1,REV-2691236,,,,,Now new sell exist just.,98b0ec97-f0e6-4eda-907b-c1488d5de2f5,False\r\nclothing,,USD,,,True,Object-based exuding moratorium,486.18,PROD-652383,4.61,,504,36x67x40cm,26.07,609,,,\r\nclothing,,USD,,,True,Business-focused incremental neural-net,426.38,PROD-554994,4.15,,268,17x39x79cm,46.25,628,,,\r\nelectronics,,USD,,,True,Customizable analyzing forecast,847.26,PROD-458134,1.07,,349,50x48x55cm,9.89,791,,,\r\nbooks,,USD,,,True,Extended optimizing synergy,120.23,PROD-184611,3.67,,768,77x66x68cm,7.19,11,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output api specification as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Intuitive disintermediate website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reality>\n<get>\n<summary>Activity public whole paper there relationship tas</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reality>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresults:\n- metric: efficacy\n  baseline: 40.85\n  endpoint: 40.08\n  p_value: 0.4196\n- metric: efficacy\n  baseline: 82.87\n  endpoint: 28.4\n  p_value: 0.208\n- metric: efficacy\n  baseline: 74.0\n  endpoint: 18.43\n  p_value: 0.3638\n- metric: efficacy\n  baseline: 50.48\n  endpoint: 15.59\n  p_value: 0.1146\nmethodology:\n  design: observational\n  sample_size: 351\n  duration_days: 339\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>3ee04eb7-6a96-4708-8070-7816402d081f</error_id>\n<timestamp>2026-01-07T13:51:26.236854</timestamp>\n<level>ERROR</level>\n<service>checkService</service>\n<message>Base information cell production decade back.</message>\n<stack_trace>at quality.py:463</stack_trace>\n<stack_trace>at but.py:317</stack_trace>\n<context>\n<user_id>9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b</user_id>\n<request_id>f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nservice: approachService\ncontext:\n  user_id: fe05329e-c851-4258-9b5b-a5822613303b\n  request_id: 7878bb2d-6319-4d97-8924-bd0357b0788d\nstack_trace:\n- at level.py:451\n- at science.py:176\n- at art.py:498\n- at success.py:287\nlevel: WARNING\nerror_id: d3f1548e-3d70-475b-a25a-df504add1be1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4466987</note_id>\n<patient>\n<mrn>MRN-766590</mrn>\n<age>87</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>147/66</bp>\n<hr>72</hr>\n<temp_f>101.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K25</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nproduct_id: PROD-685161\nname: Balanced demand-driven capacity\ncategory: clothing\nprice: 554.83\ncurrency: USD\nstock: 872\nis_available: true\nrating: 3.32\nreviews: 212\nspecs:\n  weight_kg: 39.83\n  dimensions: 86x88x63cm\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Balanced demand-driven capacity,554.83,PROD-685161,3.32,212,86x88x63cm,39.83,872\r\nbooks,USD,True,Persevering clear-thinking system engine,60.23,PROD-666035,2.19,226,86x17x28cm,4.22,840\r\nelectronics,USD,True,Multi-tiered directional policy,879.15,PROD-832344,2.12,992,67x53x29cm,5.65,417\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need course syllabus details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor: Linda Perry\ntitle: Horizontal optimal support 101\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 69ef512f-ddd4-415a-b99a-51e8f50d151c\ntimestamp: '2026-01-07T13:51:25.644182'\nlevel: WARNING\nservice: fillService\nmessage: Minute heart focus arrive.\nstack_trace:\n- at administration.py:211\n- at lawyer.py:276\n- at discussion.py:115\ncontext:\n  user_id: 29c6c678-1224-4e33-8bc1-e94776cd4eb2\n  request_id: 42e054d1-48f9-4a1c-ad7b-82ed505d6250\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"03dcbba2-8070-483e-a807-51e4c6301bf5\",\n  \"timestamp\": \"2026-01-07T13:51:27.875594\",\n  \"level\": \"WARNING\",\n  \"service\": \"stockService\",\n  \"message\": \"Feel garden dark.\",\n  \"stack_trace\": [\n    \"at another.py:304\",\n    \"at happy.py:331\",\n    \"at record.py:415\"\n  ],\n  \"context\": {\n    \"user_id\": \"cedcf075-a01b-42e9-acdc-a300ea843992\",\n    \"request_id\": \"acbfd7fd-a4ab-431b-a098-ac4537826f14\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-672485\nstudent_id: STU-183204\ncourse_id: CRS-8704\ntype: quiz\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 0\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 10\n  points_possible: 10\n- question: 5\n  points_earned: 1\n  points_possible: 10\n- question: 6\n  points_earned: 8\n  points_possible: 10\n- question: 7\n  points_earned: 7\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 0\n  points_possible: 10\n- question: 10\n  points_earned: 5\n  points_possible: 10\n- question: 11\n  points_earned: 5\n  points_possible: 10\n- question: 12\n  points_earned: 0\n  points_possible: 10\ntotal_score: 82\npercentage: 72.48\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-3366717\",\n  \"headline\": \"Integrated bi-directional complexity\",\n  \"author\": \"Linda Clark\",\n  \"published\": \"2026-01-07T13:19:20.433040\",\n  \"section\": \"Tech\",\n  \"content\": \"Anything music blood how public to. Even student idea piece if. Whom phone rich long.\\nLook memory help find reduce. Structure most tough realize ground.\\nAround fear reduce ago. Thus moment letter evening stuff three.\\nHer themselves campaign cup four catch as. Part turn leg.\",\n  \"tags\": [\n    \"necessary\",\n    \"listen\",\n    \"employee\",\n    \"here\"\n  ],\n  \"views\": 75939,\n  \"shares\": 1143\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3366717</article_id>\n<headline>Integrated bi-directional complexity</headline>\n<author>Linda Clark</author>\n<published>2026-01-07T13:19:20.433040</published>\n<section>Tech</section>\n<content>Anything music blood how public to. Even student idea piece if. Whom phone rich long.\nLook memory help find reduce. Structure most tough realize ground.\nAround fear reduce ago. Thus moment letter evening stuff three.\nHer themselves campaign cup four catch as. Part turn leg.</content>\n<tags>necessary</tags>\n<tags>listen</tags>\n<tags>employee</tags>\n<tags>here</tags>\n<views>75939</views>\n<shares>1143</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-422317\"\nstudent_id = \"STU-280699\"\ncourse_id = \"CRS-7308\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 75\npercentage = 83.59\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-2117136\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J25\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K35\"\n\n[patient]\nmrn = \"MRN-453205\"\nage = 71\ngender = \"M\"\n\n[vitals]\nbp = \"179/77\"\nhr = 79\ntemp_f = 99.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need experiment result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-235215,observational,322,295,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 55.09, \"\"endpoint\"\": 90.99, \"\"p_value\"\": 0.3394}, {\"\"metric\"\": \"\"effica\",Effect of camera on able\r\nnon-significant,EXP-319750,RCT,338,775,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 33.23, \"\"endpoint\"\": 10.48, \"\"p_value\"\": 0.4959}, {\"\"metric\"\": \"\"effica\",Effect of see on remain\r\nsignificant,EXP-102697,observational,239,934,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 84.37, \"\"endpoint\"\": 46.13, \"\"p_value\"\": 0.2959}, {\"\"metric\"\": \"\"safety\",Effect of show on site\r\nnon-significant,EXP-449829,observational,48,604,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 69.4, \"\"endpoint\"\": 86.73, \"\"p_value\"\": 0.3536}, {\"\"metric\"\": \"\"safety\"\", \",Effect of remain on local\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Exclusive next generation database API\"\nversion = \"1.0.0\"\n\n[paths.\"/score\".get]\nsummary = \"Herself daughter suddenly see government alone.\"\n[[paths.\"/score\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/score\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/score\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/score\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following YAML to JSON:\nnote_id: CN-8293808\npatient:\n  mrn: MRN-980604\n  age: 24\n  gender: F\nencounter_date: '2026-01-05'\nchief_complaint: fever\nvitals:\n  bp: 150/98\n  hr: 93\n  temp_f: 102.4\nassessment:\n- problem: diabetes\n  icd10: J39\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-8293808\",\n  \"patient\": {\n    \"mrn\": \"MRN-980604\",\n    \"age\": 24,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"150/98\",\n    \"hr\": 93,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J39\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-530397\",\n  \"student_id\": \"STU-509684\",\n  \"course_id\": \"CRS-8191\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 14,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 91,\n  \"percentage\": 61.03,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output experiment result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-818679\",\n  \"title\": \"Effect of begin on task\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 180,\n    \"duration_days\": 157\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.77,\n      \"endpoint\": 32.37,\n      \"p_value\": 0.477\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 20.98,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.2984\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-139463,RCT,284,371,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 91.61, \"\"endpoint\"\": 76.9, \"\"p_value\"\": 0.4003}, {\"\"metric\"\": \"\"safety\"\", \",Effect of quite on arm\r\nnon-significant,EXP-891818,RCT,217,896,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 33.54, \"\"endpoint\"\": 92.71, \"\"p_value\"\": 0.0692}, {\"\"metric\"\": \"\"effica\",Effect of respond on seat\r\nnon-significant,EXP-251231,cohort,63,899,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 86.52, \"\"endpoint\"\": 98.63, \"\"p_value\"\": 0.0577}, {\"\"metric\"\": \"\"efficacy\",Effect of eye on alone\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-723394\",\n  \"name\": \"Streamlined full-range ability\",\n  \"category\": \"clothing\",\n  \"price\": 959.9,\n  \"currency\": \"USD\",\n  \"stock\": 28,\n  \"is_available\": true,\n  \"rating\": 3.7,\n  \"reviews\": 332,\n  \"specs\": {\n    \"weight_kg\": 9.93,\n    \"dimensions\": \"53x67x45cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-723394</product_id>\n<name>Streamlined full-range ability</name>\n<category>clothing</category>\n<price>959.9</price>\n<currency>USD</currency>\n<stock>28</stock>\n<is_available>True</is_available>\n<rating>3.7</rating>\n<reviews>332</reviews>\n<specs>\n<weight_kg>9.93</weight_kg>\n<dimensions>53x67x45cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Flynn-Carr\nticker: MRVI\nquarter: Q4 2021\nrevenue: 73436291\nexpenses: 22495171\nnet_income: 14569315\neps: 3.22\nmetrics:\n  profit_margin: 10.13\n  roe: 21.35\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate sales analytics data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2021</period>\n<total_revenue>8992427</total_revenue>\n<units_sold>30636</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3169564</revenue>\n<growth>42.35</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>2683860</revenue>\n<growth>36.55</growth>\n</channels>\n<top_products>\n<sku>SKU-9614</sku>\n<sales>412171</sales>\n</top_products>\n<top_products>\n<sku>SKU-7573</sku>\n<sales>203488</sales>\n</top_products>\n<top_products>\n<sku>SKU-4372</sku>\n<sales>55896</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-2188860\nheadline: Advanced well-modulated service-desk\nauthor: Michael Logan\npublished: '2026-01-03T08:09:52.608144'\nsection: Politics\ncontent: 'Include start build no effort continue. Mention sister mention threat.\n\n  Choose herself case writer question over. Hand quickly house send shoulder expert\n  hour.\n\n  All probably suffer law consider kitchen relationship. Data population personal\n  past security but across.'\ntags:\n- hear\n- civil\n- might\n- way\n- win\nviews: 35184\nshares: 1092\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1305\"\ncode = \"WFG137\"\ntitle = \"Ameliorated 5thgeneration algorithm 101\"\ninstructor = \"Sandra Hill\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"anything\"\n\n[[schedule]]\nweek = 2\ntopic = \"their\"\n\n[[schedule]]\nweek = 3\ntopic = \"force\"\n\n[[schedule]]\nweek = 4\ntopic = \"above\"\n\n[[schedule]]\nweek = 5\ntopic = \"information\"\n\n[[schedule]]\nweek = 6\ntopic = \"process\"\n\n[[schedule]]\nweek = 7\ntopic = \"yard\"\n\n[[schedule]]\nweek = 8\ntopic = \"grow\"\n\n[[schedule]]\nweek = 9\ntopic = \"explain\"\n\n[[schedule]]\nweek = 10\ntopic = \"identify\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2020\"\ntotal_revenue = 4572735\nunits_sold = 82296\n[[channels]]\nname = \"retail\"\nrevenue = 3582206\ngrowth = 43.17\n\n[[channels]]\nname = \"online\"\nrevenue = 368832\ngrowth = 6.46\n\n[[top_products]]\nsku = \"SKU-5026\"\nsales = 162295\n\n[[top_products]]\nsku = \"SKU-8773\"\nsales = 217699\n\n[[top_products]]\nsku = \"SKU-7902\"\nsales = 395870\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"042db0a1-c9b1-49a9-9d69-5247a8c47159\",\n  \"timestamp\": \"2026-01-07T13:51:27.377057\",\n  \"level\": \"ERROR\",\n  \"service\": \"whomService\",\n  \"message\": \"Each reality trip red enough tough common.\",\n  \"stack_trace\": [\n    \"at note.py:398\",\n    \"at purpose.py:452\",\n    \"at onto.py:106\",\n    \"at member.py:439\"\n  ],\n  \"context\": {\n    \"user_id\": \"70c0c786-0e43-42b2-8ec7-e975f39a71f7\",\n    \"request_id\": \"95ca942a-a33a-413f-b1a1-a21e12fa0f30\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>042db0a1-c9b1-49a9-9d69-5247a8c47159</error_id>\n<timestamp>2026-01-07T13:51:27.377057</timestamp>\n<level>ERROR</level>\n<service>whomService</service>\n<message>Each reality trip red enough tough common.</message>\n<stack_trace>at note.py:398</stack_trace>\n<stack_trace>at purpose.py:452</stack_trace>\n<stack_trace>at onto.py:106</stack_trace>\n<stack_trace>at member.py:439</stack_trace>\n<context>\n<user_id>70c0c786-0e43-42b2-8ec7-e975f39a71f7</user_id>\n<request_id>95ca942a-a33a-413f-b1a1-a21e12fa0f30</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nexperiment_id = \"EXP-139463\"\ntitle = \"Effect of quite on arm\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 91.61\nendpoint = 76.9\np_value = 0.4003\n\n[[results]]\nmetric = \"safety\"\nbaseline = 58.96\nendpoint = 23.83\np_value = 0.3437\n\n[[results]]\nmetric = \"safety\"\nbaseline = 23.31\nendpoint = 88.63\np_value = 0.3018\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 371\nduration_days = 284\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-139463</experiment_id>\n<title>Effect of quite on arm</title>\n<methodology>\n<design>RCT</design>\n<sample_size>371</sample_size>\n<duration_days>284</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>91.61</baseline>\n<endpoint>76.9</endpoint>\n<p_value>0.4003</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>58.96</baseline>\n<endpoint>23.83</endpoint>\n<p_value>0.3437</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>23.31</baseline>\n<endpoint>88.63</endpoint>\n<p_value>0.3018</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Cross-group bottom-line algorithm API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</rule>\n<get>\n<summary>Center available level environment per away author</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//rule>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Cross-group bottom-line algorithm API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/rule\": {\n      \"get\": {\n        \"summary\": \"Center available level environment per away author\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<vitals>\n<bp>97/107</bp>\n<hr>107</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<patient>\n<mrn>MRN-705297</mrn>\n<age>67</age>\n<gender>F</gender>\n</patient>\n<chief_complaint>chest pain</chief_complaint>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K41</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J91</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J64</icd10>\n</assessment>\n<note_id>CN-6154695</note_id>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"vitals\": {\n    \"bp\": \"97/107\",\n    \"hr\": 107,\n    \"temp_f\": 99.6\n  },\n  \"patient\": {\n    \"mrn\": \"MRN-705297\",\n    \"age\": 67,\n    \"gender\": \"F\"\n  },\n  \"chief_complaint\": \"chest pain\",\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K41\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J91\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J64\"\n    }\n  ],\n  \"note_id\": \"CN-6154695\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need customer review details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Want respond full. Real answer fall hair. Writer yeah mother feel finally popular real.\nMight action\",,2026-01-02,14,,,,PROD-654085,1,REV-6442921,,,,,Require star act everyone and others.,90c99929-3023-421e-b2f5-e17f6e920974,True\r\nclothing,,USD,,,True,Implemented 3rdgeneration process improvement,880.08,PROD-207956,3.15,,145,19x44x27cm,25.2,535,,,\r\nelectronics,,USD,,,True,Progressive background project,541.77,PROD-641079,1.08,,284,51x79x60cm,28.75,180,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from TOML to JSON:\ntxn_id = \"TXN-38439045\"\ncustomer_id = \"39de4165-2950-403a-b7cf-252ec7bafdcc\"\ntimestamp = \"2026-01-07T13:51:25.757679\"\nsubtotal = 964.6\ntax = 142.48\ntotal = 1270.74\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-68017\"\nqty = 5\nprice = 287.63\n\n[[items]]\nsku = \"SKU-13598\"\nqty = 1\nprice = 397.9\n\n[[items]]\nsku = \"SKU-25253\"\nqty = 4\nprice = 226.78\n\n[[items]]\nsku = \"SKU-92380\"\nqty = 1\nprice = 318.47\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-38439045\",\n  \"customer_id\": \"39de4165-2950-403a-b7cf-252ec7bafdcc\",\n  \"timestamp\": \"2026-01-07T13:51:25.757679\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-68017\",\n      \"qty\": 5,\n      \"price\": 287.63\n    },\n    {\n      \"sku\": \"SKU-13598\",\n      \"qty\": 1,\n      \"price\": 397.9\n    },\n    {\n      \"sku\": \"SKU-25253\",\n      \"qty\": 4,\n      \"price\": 226.78\n    },\n    {\n      \"sku\": \"SKU-92380\",\n      \"qty\": 1,\n      \"price\": 318.47\n    }\n  ],\n  \"subtotal\": 964.6,\n  \"tax\": 142.48,\n  \"total\": 1270.74,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate sales analytics data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: March 2022\ntotal_revenue: 6503980\nunits_sold: 7670\nchannels:\n- name: retail\n  revenue: 3279241\n  growth: 22.76\n- name: wholesale\n  revenue: 1469640\n  growth: 16.07\ntop_products:\n- sku: SKU-8081\n  sales: 71747\n- sku: SKU-8211\n  sales: 475825\n- sku: SKU-4565\n  sales: 485553\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"January 2022\",\n  \"total_revenue\": 7456708,\n  \"units_sold\": 82349,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3622404,\n      \"growth\": -8.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1893923,\n      \"growth\": 2.21\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2073\",\n      \"sales\": 98550\n    },\n    {\n      \"sku\": \"SKU-3707\",\n      \"sales\": 233488\n    },\n    {\n      \"sku\": \"SKU-7843\",\n      \"sales\": 172526\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2022</period>\n<total_revenue>7456708</total_revenue>\n<units_sold>82349</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3622404</revenue>\n<growth>-8.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1893923</revenue>\n<growth>2.21</growth>\n</channels>\n<top_products>\n<sku>SKU-2073</sku>\n<sales>98550</sales>\n</top_products>\n<top_products>\n<sku>SKU-3707</sku>\n<sales>233488</sales>\n</top_products>\n<top_products>\n<sku>SKU-7843</sku>\n<sales>172526</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"section\": \"Politics\",\n  \"tags\": [\n    \"machine\",\n    \"fund\",\n    \"station\",\n    \"our\"\n  ],\n  \"published\": \"2026-01-05T17:58:55.100855\",\n  \"views\": 86295\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nsection = \"Politics\"\ntags = [ \"machine\", \"fund\", \"station\", \"our\",]\npublished = \"2026-01-05T17:58:55.100855\"\nviews = 86295\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-727903,,CRS-5645,,2026-01-02,B,,,,,90.34,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 8, \"\"po\",STU-924122,,,84,assignment\r\n,TYV384,CRS-4682,3,,,40,30,30,Christina Walker,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"staff\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"art\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"whose\"\"}, {\"\"week\"\":\",,,Fall 2020,Stand-alone leadingedge flexibility 101,,\r\n,AHA355,CRS-8658,4,,,40,30,30,Nicole Carney,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"glass\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"production\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"piece\"\"}, {\",,,Fall 2020,Multi-channeled multi-tasking installation 101,,\r\n,MIH406,CRS-3733,4,,,40,30,30,Latoya Steele,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"across\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"agent\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"few\"\"}, {\"\"week\"\"\",,,Spring 2024,Self-enabling holistic portal 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nreview_id = \"REV-5911912\"\nproduct_id = \"PROD-652506\"\nuser_id = \"e81c58cf-1a13-4302-a93a-5e1fbbfd28db\"\nrating = 3\ntitle = \"Their husband whole president threat argue.\"\ncontent = \"Happen member step can deal animal fine. Like among study from book.\\nDemocratic significant every sport next want. List religious computer rise wrong.\"\ndate = \"2026-01-02\"\nverified_purchase = true\nhelpful_votes = 61\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-5911912\nproduct_id: PROD-652506\nuser_id: e81c58cf-1a13-4302-a93a-5e1fbbfd28db\nrating: 3\ntitle: Their husband whole president threat argue.\ncontent: 'Happen member step can deal animal fine. Like among study from book.\n\n  Democratic significant every sport next want. List religious computer rise wrong.'\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 61\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nCaldwell and Sons,7.49,2487258,27.8,18.62,14342227,Q1 2023,52935974,NJGG\r\nRomero Group,7.17,60263057,20.3,8.45,16088706,Q3 2024,12826150,PAOA\r\n\"Mcdonald, Jackson and Johns\",7.11,68954719,29.59,23.01,15806801,Q4 2021,54223990,MVQS\r\nYoung-Lucas,4.42,48589733,10.38,23.16,17304022,Q1 2020,57022872,QQKW\r\nColeman Inc,7.55,34960444,11.63,20.63,4908161,Q1 2021,49681628,LDWI\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9047593\"\npatient_mrn = \"MRN-478989\"\norder_date = \"2026-01-06\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 171.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 58.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 78.7\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 138.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 51.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 141.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 191.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Stand-alone dedicated complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</hear>\n<get>\n<summary>Chance cultural sort including high.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//hear>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Stand-alone dedicated complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/hear\": {\n      \"get\": {\n        \"summary\": \"Chance cultural sort including high.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-3793814\npatient_mrn: MRN-247204\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n  value: 188.2\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 197.7\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 196.4\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 193.9\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 197.2\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 109.5\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-61935008\nplatform: instagram\nuser_id: ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\nusername: halezachary\ncontent: Treat second sing development scientist particularly their. Like question\n  recently line top. Resource movie enter involve order stop region.\ntimestamp: '2026-01-07T13:51:25.597395'\nhashtags:\n- '#box'\n- '#speak'\n- '#reason'\nengagement:\n  likes: 4027\n  shares: 604\n  comments: 194\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1689</course_id>\n<code>NZW166</code>\n<title>Operative modular system engine 101</title>\n<instructor>David Chen</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>in</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>unit</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>wind</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>act</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>would</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>tell</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>money</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>long</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5650887</review_id>\n<product_id>PROD-601157</product_id>\n<user_id>ac7725ae-2567-44d1-8d40-a64432b9801b</user_id>\n<rating>3</rating>\n<title>Personal order single check off but my.</title>\n<content>Key Mrs say because walk old certainly. Product figure event choice.\nSkill cut plan per side same. Between common join partner kid enter page discover.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>66</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4513</course_id>\n<code>NEE477</code>\n<title>Exclusive bottom-line artificial intelligence 101</title>\n<instructor>Jaime Roman</instructor>\n<credits>3</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>marriage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>wonder</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>system</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>order</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>very</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>laugh</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>practice</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>sister</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>join</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>expect</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-4513\",\n  \"code\": \"NEE477\",\n  \"title\": \"Exclusive bottom-line artificial intelligence 101\",\n  \"instructor\": \"Jaime Roman\",\n  \"credits\": 3,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"marriage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"wonder\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"system\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"order\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"very\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"laugh\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"sister\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"join\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"expect\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9340153\"\npatient_mrn = \"MRN-301476\"\norder_date = \"2026-01-02\"\npanel = \"CBC\"\n[[results]]\ntest = \"WBC\"\nvalue = 166.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 188.9\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 90.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 181.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 189.2\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 171.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 167.9\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-593622\nname: Polarized analyzing initiative\ncategory: clothing\nprice: 304.48\ncurrency: USD\nstock: 537\nis_available: true\nrating: 1.39\nreviews: 146\nspecs:\n  weight_kg: 35.03\n  dimensions: 27x18x42cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3,\"[{\"\"sku\"\": \"\"SKU-22630\"\", \"\"qty\"\": 3, \"\"price\"\": 89.97}]\",apple_pay,468.67,148.91,2026-01-07T13:51:25.620781,792.01,TXN-85338602\r\n78b51b42-a2be-43a2-9454-6b50242d9c2d,\"[{\"\"sku\"\": \"\"SKU-30772\"\", \"\"qty\"\": 1, \"\"price\"\": 433.94}, {\"\"sku\"\": \"\"SKU-13007\"\", \"\"qty\"\": 3, \"\"price\"\": 423.0}, {\"\"\",paypal,211.21,173.17,2026-01-07T13:51:25.621593,223.82,TXN-79561512\r\n579478ee-8bb7-4b9b-97da-940734632127,\"[{\"\"sku\"\": \"\"SKU-46280\"\", \"\"qty\"\": 2, \"\"price\"\": 432.15}]\",paypal,1492.88,12.2,2026-01-07T13:51:25.621664,199.6,TXN-91528573\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-766800\"\nstudent_id = \"STU-927295\"\ncourse_id = \"CRS-8819\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 99\npercentage = 71.71\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8221745</article_id>\n<headline>Polarized zero administration support</headline>\n<author>Maria Johnson</author>\n<published>2026-01-03T08:37:58.870132</published>\n<section>Business</section>\n<content>Would movement white military what them cup. Available remember control staff. None mean hundred PM.\nImprove wear produce price according. He method market computer TV strategy.\nBody into language. Which other hear they look some option.</content>\n<tags>environment</tags>\n<tags>name</tags>\n<tags>receive</tags>\n<tags>happen</tags>\n<tags>join</tags>\n<views>46852</views>\n<shares>763</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\npaths:\n  /sense:\n    get:\n      summary: Pay yes agree executive year ahead program.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\ninfo:\n  title: Customer-focused zero-defect array API\n  version: 1.0.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Sharable solution-oriented migration API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</anything>\n<get>\n<summary>Those all evidence respond she listen.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//anything>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Sharable solution-oriented migration API\n  version: 1.0.0\npaths:\n  /anything:\n    get:\n      summary: Those all evidence respond she listen.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Snow, Shelton and Parsons\nticker: LYEH\nquarter: Q3 2022\nrevenue: 49988929\nexpenses: 3428077\nnet_income: 8543670\neps: 3.41\nmetrics:\n  profit_margin: 11.21\n  roe: 5.99\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}]\",fever,2026-01-06,CN-7237025,53,F,MRN-276187,95/82,103,102.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K10\"\"}]\",headache,2026-01-03,CN-6007385,27,F,MRN-248023,94/110,92,99.1\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I97\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I59\"\"}, {\"\"problem\"\": \"\"diab\",headache,2026-01-01,CN-1192841,74,M,MRN-972154,127/92,67,97.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I25\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K88\"\"}]\",headache,2026-01-05,CN-2232746,49,F,MRN-302285,113/90,117,102.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5704\"\ncode = \"BXM405\"\ntitle = \"Profit-focused responsive throughput 101\"\ninstructor = \"Emily Bryan\"\ncredits = 3\nterm = \"Spring 2021\"\n[[schedule]]\nweek = 1\ntopic = \"southern\"\n\n[[schedule]]\nweek = 2\ntopic = \"raise\"\n\n[[schedule]]\nweek = 3\ntopic = \"across\"\n\n[[schedule]]\nweek = 4\ntopic = \"teacher\"\n\n[[schedule]]\nweek = 5\ntopic = \"service\"\n\n[[schedule]]\nweek = 6\ntopic = \"body\"\n\n[[schedule]]\nweek = 7\ntopic = \"practice\"\n\n[[schedule]]\nweek = 8\ntopic = \"authority\"\n\n[[schedule]]\nweek = 9\ntopic = \"throw\"\n\n[[schedule]]\nweek = 10\ntopic = \"second\"\n\n[[schedule]]\nweek = 11\ntopic = \"authority\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1867975, \"\"growth\"\": -2.95}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1947932, \"\"gr\",,,,,February 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-5409\"\", \"\"sales\"\": 492017}, {\"\"sku\"\": \"\"SKU-4816\"\", \"\"sales\"\": 486050}, {\"\"sku\"\": \"\"SKU-9957\"\", \"\"sa\",3108970,70292\r\nDeal future person mouth. Conference teacher right century road miss investment.,\"[{\"\"name\"\": \"\"Shannon Huffman\"\", \"\"affiliation\"\": \"\"Robbins Ltd\"\", \"\"email\"\": \"\"heidibecker@example.org\"\"}, {\"\"na\",,263,None,\"[\"\"grow\"\", \"\"ever\"\", \"\"government\"\", \"\"decide\"\", \"\"others\"\"]\",arXiv:2022.88134,,10.6936/DOHE,Science,2024,Phased explicit productivity,,,\r\nPainting decade property act. Recently generation church perform.,\"[{\"\"name\"\": \"\"Theresa Marshall\"\", \"\"affiliation\"\": \"\"Nguyen-Bowers\"\", \"\"email\"\": \"\"timothy82@example.org\"\"}, {\"\"n\",,40,Perez Group,\"[\"\"drug\"\", \"\"run\"\", \"\"child\"\"]\",arXiv:2020.10489,,10.7625/OKbW,Nature,2022,Adaptive real-time frame,,,\r\nPattern certain bring although central truth. It reality father. Draw could see door Democrat.,\"[{\"\"name\"\": \"\"Natalie Lane\"\", \"\"affiliation\"\": \"\"Stephenson-Chavez\"\", \"\"email\"\": \"\"zmurray@example.net\"\"}, {\"\"nam\",,390,\"Adams, Norris and Mcdonald\",\"[\"\"remember\"\", \"\"significant\"\", \"\"plan\"\", \"\"know\"\", \"\"list\"\"]\",arXiv:2023.54771,,10.3213/HEIC,Science,2023,Vision-oriented cohesive migration,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-766800\",\n  \"student_id\": \"STU-927295\",\n  \"course_id\": \"CRS-8819\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 99,\n  \"percentage\": 71.71,\n  \"grade\": \"A\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-766800</assessment_id>\n<student_id>STU-927295</student_id>\n<course_id>CRS-8819</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>99</total_score>\n<percentage>71.71</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-670804\ntitle: Effect of yes on man\nmethodology:\n  design: observational\n  sample_size: 190\n  duration_days: 84\nresults:\n- metric: efficacy\n  baseline: 61.01\n  endpoint: 26.37\n  p_value: 0.4563\n- metric: efficacy\n  baseline: 48.45\n  endpoint: 55.05\n  p_value: 0.1611\n- metric: efficacy\n  baseline: 93.29\n  endpoint: 30.77\n  p_value: 0.4907\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need course syllabus details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-5299\ncode: BFV450\ntitle: Future-proofed transitional access 101\ninstructor: Margaret Waters\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: church\n- week: 2\n  topic: reality\n- week: 3\n  topic: figure\n- week: 4\n  topic: similar\n- week: 5\n  topic: indicate\n- week: 6\n  topic: worry\n- week: 7\n  topic: teacher\n- week: 8\n  topic: maybe\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-831490</product_id>\n<name>Seamless optimal task-force</name>\n<category>electronics</category>\n<price>975.8</price>\n<currency>USD</currency>\n<stock>924</stock>\n<is_available>True</is_available>\n<rating>2.71</rating>\n<reviews>121</reviews>\n<specs>\n<weight_kg>17.77</weight_kg>\n<dimensions>52x27x46cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-831490\",\n  \"name\": \"Seamless optimal task-force\",\n  \"category\": \"electronics\",\n  \"price\": 975.8,\n  \"currency\": \"USD\",\n  \"stock\": 924,\n  \"is_available\": true,\n  \"rating\": 2.71,\n  \"reviews\": 121,\n  \"specs\": {\n    \"weight_kg\": 17.77,\n    \"dimensions\": \"52x27x46cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nLeft sport yourself education early some myself. Listen dream allow that financial.,450,1135,304,\"[\"\"#change\"\", \"\"#ever\"\"]\",instagram,POST-14344324,2026-01-06T09:43:34.778948,98b39778-8f66-4f4c-a6d9-e434f4fdf9d5,bcarter\r\nAlmost might operation fill campaign cost national. Coach mission executive technology matter want p,65,3865,417,\"[\"\"#feeling\"\", \"\"#difference\"\", \"\"#herself\"\", \"\"#open\"\"]\",facebook,POST-34639540,2026-01-06T09:43:34.781111,fb09b38d-b0da-482c-a3d7-d05d70ac6ce8,garyhoffman\r\n\"Against identify go a happen. Manager population yeah. Project show trial discuss computer city.\nAir\",233,5049,653,\"[\"\"#safe\"\", \"\"#food\"\", \"\"#guy\"\", \"\"#understand\"\"]\",facebook,POST-33740698,2026-01-06T09:43:34.781816,aac47f7e-0fed-4e33-a81d-630a3ba7e4d7,griffinkristin\r\nWhen charge white woman since home news. Understand yourself couple level move central. Third moveme,287,7314,785,\"[\"\"#newspaper\"\", \"\"#table\"\", \"\"#throw\"\", \"\"#study\"\"]\",instagram,POST-65473862,2026-01-06T09:43:34.782510,e57cc81a-1e57-4edd-b260-2b56b8e529ba,brianroberts\r\n\"Land music check from once significant reflect. Finish ago garden response music sit suffer.\nSoon on\",117,5153,940,\"[\"\"#level\"\", \"\"#federal\"\", \"\"#want\"\", \"\"#detail\"\"]\",instagram,POST-33939078,2026-01-06T09:43:34.783036,d2d4441a-0a8f-4350-9539-c5acb370ed28,jacob26\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-78526123\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"17596017-ad50-41af-8dc2-8746d15af00d\",\n  \"username\": \"qsharp\",\n  \"content\": \"Seven behavior less water pretty.\\nRock key include. Kind than game agreement.\\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.\",\n  \"timestamp\": \"2026-01-07T13:51:27.460227\",\n  \"hashtags\": [\n    \"#draw\",\n    \"#five\",\n    \"#culture\",\n    \"#sport\"\n  ],\n  \"engagement\": {\n    \"likes\": 1826,\n    \"shares\": 489,\n    \"comments\": 393\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-78526123</post_id>\n<platform>twitter</platform>\n<user_id>17596017-ad50-41af-8dc2-8746d15af00d</user_id>\n<username>qsharp</username>\n<content>Seven behavior less water pretty.\nRock key include. Kind than game agreement.\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.</content>\n<timestamp>2026-01-07T13:51:27.460227</timestamp>\n<hashtags>#draw</hashtags>\n<hashtags>#five</hashtags>\n<hashtags>#culture</hashtags>\n<hashtags>#sport</hashtags>\n<engagement>\n<likes>1826</likes>\n<shares>489</shares>\n<comments>393</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-970748,Brady Keller,RX-8706225\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-491362,Bradley Wilkerson,RX-1251418\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-345152,Heather Jones,RX-3570251\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"September 2022\",\n  \"total_revenue\": 4880286,\n  \"units_sold\": 74173,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2000312,\n      \"growth\": 0.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3751658,\n      \"growth\": -3.19\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6977\",\n      \"sales\": 264067\n    },\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 443161\n    },\n    {\n      \"sku\": \"SKU-1793\",\n      \"sales\": 209512\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-94493547\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ebddd714-2a63-4fd6-985c-fb7fe32db0b4\",\n  \"username\": \"laura52\",\n  \"content\": \"Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\\nWhat ok that look past. Budget understand mouth during brother pull type spring.\",\n  \"timestamp\": \"2026-01-07T13:51:27.134920\",\n  \"hashtags\": [\n    \"#red\",\n    \"#hotel\",\n    \"#create\"\n  ],\n  \"engagement\": {\n    \"likes\": 8599,\n    \"shares\": 93,\n    \"comments\": 39\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nvalue = 911148\ncontract_id = \"CTR-919818\"\nstatus = \"active\"\nterm_months = 18\n[[parties]]\nname = \"Riggs, Carey and Rojas\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Mcdowell-Koch\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-554535\",\n  \"student_id\": \"STU-693793\",\n  \"course_id\": \"CRS-9992\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 86,\n  \"percentage\": 63.99,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-554535</assessment_id>\n<student_id>STU-693793</student_id>\n<course_id>CRS-9992</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>86</total_score>\n<percentage>63.99</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Country maybe method focus community red high will. Movement city change bar treatment leader room.\n\",,2026-01-01,96,,,,PROD-522391,2,REV-2501238,,,,,Seat worker majority response avoid.,e7009058-1693-436f-a8d5-a48a7e2ea712,False\r\nbooks,,USD,,,True,Cloned needs-based algorithm,659.09,PROD-744847,2.67,,442,91x33x15cm,38.53,844,,,\r\nelectronics,,USD,,,True,Cross-platform solution-oriented ability,555.33,PROD-238402,1.43,,452,66x50x79cm,14.23,971,,,\r\nbooks,,USD,,,True,Inverse mobile matrices,540.42,PROD-321117,2.4,,713,54x90x55cm,36.7,588,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-308726\",\n  \"name\": \"Cross-platform client-server attitude\",\n  \"category\": \"electronics\",\n  \"price\": 875.12,\n  \"currency\": \"USD\",\n  \"stock\": 161,\n  \"is_available\": true,\n  \"rating\": 1.18,\n  \"reviews\": 705,\n  \"specs\": {\n    \"weight_kg\": 37.34,\n    \"dimensions\": \"78x81x41cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-308726</product_id>\n<name>Cross-platform client-server attitude</name>\n<category>electronics</category>\n<price>875.12</price>\n<currency>USD</currency>\n<stock>161</stock>\n<is_available>True</is_available>\n<rating>1.18</rating>\n<reviews>705</reviews>\n<specs>\n<weight_kg>37.34</weight_kg>\n<dimensions>78x81x41cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-731015,Brittany Pugh,RX-4817925\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformi\",MRN-950209,Amanda Blackwell,RX-7369318\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-681385,Olivia White,RX-8912877\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-116335,Rodney Moore,RX-7204995\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-390372,Ellen Greene,RX-6916328\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nBody exactly last operation trouble. Financial whole check management chance eat us. Likely wrong ex,\"[{\"\"name\"\": \"\"David Cohen\"\", \"\"affiliation\"\": \"\"Lopez and Sons\"\", \"\"email\"\": \"\"mark98@example.com\"\"}, {\"\"name\"\": \"\"\",174,None,\"[\"\"rather\"\", \"\"hair\"\", \"\"attorney\"\", \"\"chance\"\", \"\"bring\"\"]\",arXiv:2024.66116,10.7468/EeJM,Cell,2020,Quality-focused grid-enabled service-desk\r\n\"Especially room explain kid would listen subject.\nWrite man him six enjoy season rest. Few less minu\",\"[{\"\"name\"\": \"\"Ashley Howard\"\", \"\"affiliation\"\": \"\"Jackson-Moore\"\", \"\"email\"\": \"\"turnercharles@example.com\"\"}, {\"\"\",44,\"Mercer, Ruiz and Wright\",\"[\"\"measure\"\", \"\"reflect\"\", \"\"discover\"\", \"\"future\"\"]\",arXiv:2024.31155,10.1812/jZeP,Science,2021,Sharable real-time system engine\r\nReflect end note movement civil successful surface once. Experience life teacher between long traini,\"[{\"\"name\"\": \"\"Alejandro Young\"\", \"\"affiliation\"\": \"\"Castillo-Cox\"\", \"\"email\"\": \"\"howardjessica@example.com\"\"}, {\",248,\"Rivera, James and Jones\",\"[\"\"spend\"\", \"\"them\"\", \"\"late\"\", \"\"risk\"\"]\",arXiv:2022.69649,10.2689/ADsC,Nature,2020,Realigned 6thgeneration archive\r\nNext avoid lot while development feeling result. Friend boy full sea which can performance.,\"[{\"\"name\"\": \"\"Laura Aguilar\"\", \"\"affiliation\"\": \"\"Wade PLC\"\", \"\"email\"\": \"\"urobinson@example.org\"\"}, {\"\"name\"\": \"\"J\",171,Bell LLC,\"[\"\"there\"\", \"\"ability\"\", \"\"theory\"\", \"\"list\"\", \"\"maintain\"\"]\",arXiv:2020.56309,10.9367/bePU,Science,2022,Cross-platform zero administration encoding\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2024.66116\ntitle: Quality-focused grid-enabled service-desk\nauthors:\n- name: David Cohen\n  affiliation: Lopez and Sons\n  email: mark98@example.com\n- name: Ashley Spencer\n  affiliation: Hood Ltd\n  email: pbailey@example.org\n- name: Robin Lynch\n  affiliation: Camacho, Nelson and Perez\n  email: samantha44@example.net\nabstract: Body exactly last operation trouble. Financial whole check management chance\n  eat us. Likely wrong explain by would born only.\nkeywords:\n- rather\n- hair\n- attorney\n- chance\n- bring\npublication:\n  venue: Cell\n  year: 2020\n  doi: 10.7468/EeJM\ncitations: 174\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-817642\",\n  \"student_id\": \"STU-222420\",\n  \"course_id\": \"CRS-8326\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 60,\n  \"percentage\": 56.31,\n  \"grade\": \"A\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-817642</assessment_id>\n<student_id>STU-222420</student_id>\n<course_id>CRS-8326</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>60</total_score>\n<percentage>56.31</percentage>\n<grade>A</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2309770</result_id>\n<patient_mrn>MRN-380513</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>62.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>75.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>170.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-2309770\",\n  \"patient_mrn\": \"MRN-380513\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 62.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 75.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 170.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-681166,RCT,212,875,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 50.39, \"\"endpoint\"\": 61.09, \"\"p_value\"\": 0.3936}, {\"\"metric\"\": \"\"safety\",Effect of main on stand\r\nsignificant,EXP-847350,observational,100,948,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 47.57, \"\"endpoint\"\": 71.94, \"\"p_value\"\": 0.1827}, {\"\"metric\"\": \"\"effica\",Effect of create on town\r\nnon-significant,EXP-159451,cohort,234,971,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 69.51, \"\"endpoint\"\": 69.51, \"\"p_value\"\": 0.3625}, {\"\"metric\"\": \"\"effica\",Effect of image on nearly\r\nsignificant,EXP-469191,cohort,61,811,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 60.94, \"\"endpoint\"\": 43.5, \"\"p_value\"\": 0.3538}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of peace on opportunity\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<specs>\n<weight_kg>8.02</weight_kg>\n<dimensions>62x22x22cm</dimensions>\n</specs>\n<name>Universal fault-tolerant service-desk</name>\n<price>907.33</price>\n<reviews>493</reviews>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nspecs:\n  weight_kg: 8.02\n  dimensions: 62x22x22cm\nname: Universal fault-tolerant service-desk\nprice: 907.33\nreviews: 493\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn: MRN-553201\ndate: '2026-01-04'\nrx_id: RX-1134936\nprescriber: Amber Gregory\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: TID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5650887\nproduct_id: PROD-601157\nuser_id: ac7725ae-2567-44d1-8d40-a64432b9801b\nrating: 3\ntitle: Personal order single check off but my.\ncontent: 'Key Mrs say because walk old certainly. Product figure event choice.\n\n  Skill cut plan per side same. Between common join partner kid enter page discover.'\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 66\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Thompson LLC\",\n  \"ticker\": \"QQLN\",\n  \"quarter\": \"Q2 2020\",\n  \"revenue\": 63838743,\n  \"expenses\": 967762,\n  \"net_income\": 16633381,\n  \"eps\": 0.69,\n  \"metrics\": {\n    \"profit_margin\": 22.56,\n    \"roe\": 23.58\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Thompson LLC</company>\n<ticker>QQLN</ticker>\n<quarter>Q2 2020</quarter>\n<revenue>63838743</revenue>\n<expenses>967762</expenses>\n<net_income>16633381</net_income>\n<eps>0.69</eps>\n<metrics>\n<profit_margin>22.56</profit_margin>\n<roe>23.58</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.40808\ntitle: Versatile systematic infrastructure\nauthors:\n- name: Andres Compton\n  affiliation: Knight, Wyatt and Mccarty\n  email: lawsontammy@example.org\n- name: Michael Mcgrath\n  affiliation: Garcia, Davis and Caldwell\n  email: madison05@example.net\nabstract: Face direction whom party go follow. According meet pick hit environmental\n  resource glass.\nkeywords:\n- service\n- walk\n- although\n- several\n- against\npublication:\n  venue: Cell\n  year: 2021\n  doi: 10.1740/TuDe\ncitations: 172\nfunding_source: Bautista, Saunders and Delgado\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nopenapi: 3.0.0\ninfo:\n  title: Grass-roots 6thgeneration ability API\n  version: 1.0.0\npaths:\n  /million:\n    get:\n      summary: About little above investment already magazine.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/million_get_parameters,paths_/million_get_responses_200_description,paths_/million_get_responses_400_description,paths_/million_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Grass-roots 6thgeneration ability API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,About little above investment already magazine.,,,,\r\n\"Wear benefit here religious agency billion pull. Series write book.\nItem participant instead suggest\",\"[{\"\"name\"\": \"\"Joyce Weber\"\", \"\"affiliation\"\": \"\"Glass LLC\"\", \"\"email\"\": \"\"jroy@example.org\"\"}, {\"\"name\"\": \"\"Theresa\",496,\"Daniels, Gallagher and Edwards\",,,\"[\"\"fact\"\", \"\"trip\"\", \"\"community\"\", \"\"instead\"\"]\",,arXiv:2024.55589,,,,,10.8027/Zlsb,Science,2020,Persevering fresh-thinking monitoring\r\nAttention century history stage myself edge. Prepare put right. College as any look western current ,\"[{\"\"name\"\": \"\"Adam Hays\"\", \"\"affiliation\"\": \"\"Moreno, Carlson and Murphy\"\", \"\"email\"\": \"\"smithdavid@example.com\",237,\"Blair, Robertson and Fowler\",,,\"[\"\"experience\"\", \"\"assume\"\", \"\"administration\"\", \"\"consider\"\"]\",,arXiv:2022.35370,,,,,10.1825/egIQ,Cell,2023,Multi-tiered even-keeled access\r\nAnything always these run certainly. Stock total share small production. Too service democratic comp,\"[{\"\"name\"\": \"\"Ann Garza\"\", \"\"affiliation\"\": \"\"Reilly-Woodard\"\", \"\"email\"\": \"\"vanessakim@example.org\"\"}, {\"\"name\"\":\",491,None,,,\"[\"\"prove\"\", \"\"product\"\", \"\"understand\"\", \"\"life\"\", \"\"as\"\"]\",,arXiv:2020.98330,,,,,10.9954/eApv,Cell,2023,Customizable even-keeled access\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this YAML data into CSV format:\ncourse_id: CRS-9279\ncode: WQT213\ntitle: Ameliorated 3rdgeneration groupware 101\ninstructor: Mariah Wilson\ncredits: 3\nterm: Fall 2020\nschedule:\n- week: 1\n  topic: together\n- week: 2\n  topic: statement\n- week: 3\n  topic: these\n- week: 4\n  topic: American\n- week: 5\n  topic: read\n- week: 6\n  topic: age\n- week: 7\n  topic: course\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nWQT213,CRS-9279,3,40,30,30,Mariah Wilson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"together\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"statement\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"these\"\"},\",Fall 2020,Ameliorated 3rdgeneration groupware 101\r\nJPJ268,CRS-2230,4,40,30,30,Gabriella Cunningham,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"explain\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"want\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"catch\"\"}, {\"\"wee\",Spring 2024,Inverse coherent software 101\r\nAFH345,CRS-5134,4,40,30,30,Anthony Hester,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"pattern\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"trial\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"send\"\"}, {\"\"wee\",Fall 2021,Right-sized asynchronous methodology 101\r\nLES161,CRS-6999,4,40,30,30,Julie Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"baby\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"girl\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"audience\"\"}, {\"\"wee\",Fall 2023,Networked mission-critical firmware 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-506156\",\n  \"title\": \"Effect of window on soldier\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 884,\n    \"duration_days\": 87\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 32.86,\n      \"endpoint\": 81.82,\n      \"p_value\": 0.3265\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 88.84,\n      \"endpoint\": 10.2,\n      \"p_value\": 0.448\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 27.68,\n      \"endpoint\": 60.55,\n      \"p_value\": 0.1062\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 51.8,\n      \"endpoint\": 89.23,\n      \"p_value\": 0.4543\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/anything_get_parameters,paths_/anything_get_responses_200_description,paths_/anything_get_responses_400_description,paths_/anything_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Sharable solution-oriented migration API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Those all evidence respond she listen.,,,,\r\nChallenge business necessary society result reality. He ago work than focus. Provide future knowledg,\"[{\"\"name\"\": \"\"Dawn Garcia\"\", \"\"affiliation\"\": \"\"Walter PLC\"\", \"\"email\"\": \"\"zramirez@example.com\"\"}, {\"\"name\"\": \"\"Jo\",494,None,,,\"[\"\"strong\"\", \"\"administration\"\", \"\"big\"\", \"\"be\"\", \"\"change\"\"]\",,arXiv:2024.73589,,,,,10.8263/xHEH,Nature,2020,Stand-alone mission-critical circuit\r\nFact never recently sign late star case. Should real language. Growth which key industry piece last.,\"[{\"\"name\"\": \"\"Craig Lane\"\", \"\"affiliation\"\": \"\"Lynch LLC\"\", \"\"email\"\": \"\"jnorton@example.com\"\"}, {\"\"name\"\": \"\"Jane \",354,Jenkins-Smith,,,\"[\"\"full\"\", \"\"within\"\", \"\"here\"\", \"\"can\"\", \"\"fill\"\"]\",,arXiv:2024.66351,,,,,10.4021/aHrl,Cell,2024,Re-contextualized intermediate implementation\r\nForeign experience society best treatment sure. Place culture ability which. Popular voice most foll,\"[{\"\"name\"\": \"\"John Galloway\"\", \"\"affiliation\"\": \"\"Parks, Collins and Dean\"\", \"\"email\"\": \"\"christine09@example.n\",188,None,,,\"[\"\"politics\"\", \"\"enter\"\", \"\"tax\"\", \"\"month\"\"]\",,arXiv:2024.97009,,,,,10.2498/Hgrd,Nature,2022,Focused 24hour migration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nauthors:\n- name: Laura White\n  affiliation: Coleman, Johnson and Ross\n  email: jillcollins@example.com\n- name: Sarah Woods\n  affiliation: Durham, Thompson and White\n  email: sbeard@example.com\ntitle: Seamless cohesive projection\nfunding_source: null\nabstract: Middle several interesting move. Wrong represent guess threat. Once paper\n  represent.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need student assessment details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-231933\"\nstudent_id = \"STU-520595\"\ncourse_id = \"CRS-9397\"\ntype = \"quiz\"\ndate = \"2026-01-03\"\ntotal_score = 79\npercentage = 67.77\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 14\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.57295</paper_id>\n<title>Persevering global groupware</title>\n<authors>\n<name>Edwin Moore</name>\n<affiliation>Smith-Jones</affiliation>\n<email>bowenzachary@example.net</email>\n</authors>\n<authors>\n<name>Anna Collins</name>\n<affiliation>Thomas, Rogers and Baldwin</affiliation>\n<email>thill@example.com</email>\n</authors>\n<authors>\n<name>Mrs. Mary Delacruz MD</name>\n<affiliation>French, Rodriguez and Johnson</affiliation>\n<email>amywest@example.org</email>\n</authors>\n<abstract>Stand season mind indicate either. Buy gas keep skin.</abstract>\n<keywords>stock</keywords>\n<keywords>member</keywords>\n<keywords>laugh</keywords>\n<keywords>language</keywords>\n<keywords>right</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.9461/HDZk</doi>\n</publication>\n<citations>204</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.57295\",\n  \"title\": \"Persevering global groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Edwin Moore\",\n      \"affiliation\": \"Smith-Jones\",\n      \"email\": \"bowenzachary@example.net\"\n    },\n    {\n      \"name\": \"Anna Collins\",\n      \"affiliation\": \"Thomas, Rogers and Baldwin\",\n      \"email\": \"thill@example.com\"\n    },\n    {\n      \"name\": \"Mrs. Mary Delacruz MD\",\n      \"affiliation\": \"French, Rodriguez and Johnson\",\n      \"email\": \"amywest@example.org\"\n    }\n  ],\n  \"abstract\": \"Stand season mind indicate either. Buy gas keep skin.\",\n  \"keywords\": [\n    \"stock\",\n    \"member\",\n    \"laugh\",\n    \"language\",\n    \"right\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.9461/HDZk\"\n  },\n  \"citations\": 204,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"date\": \"2026-01-06\",\n  \"patient_mrn\": \"MRN-259808\",\n  \"rx_id\": \"RX-8539167\",\n  \"prescriber\": \"Joseph Griffin\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-06</date>\n<patient_mrn>MRN-259808</patient_mrn>\n<rx_id>RX-8539167</rx_id>\n<prescriber>Joseph Griffin</prescriber>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,Lipid,MRN-572762,LAB-1817134,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 107.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 112\"\r\n2026-01-03,CMP,MRN-879487,LAB-9964627,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 66.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-02,CMP,MRN-235043,LAB-9163526,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 117.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 87.9,\"\r\n2026-01-05,CBC,MRN-829395,LAB-3203659,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 151.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,1b22b6e6-0879-45de-9655-0fac03142f9b,91a6b883-2593-4790-8a1e-5acd27aad31b,0ea30289-ce13-425f-910d-da970e03d0fa,,,WARNING,Country specific information follow daughter dark.,,,,,theService,\"[\"\"at enjoy.py:340\"\", \"\"at current.py:45\"\", \"\"at hand.py:478\"\"]\",2026-01-07T13:51:25.772316,\r\nRemember know this home computer administration worry. Prove only rise treatment. True heart probabl,\"[{\"\"name\"\": \"\"David Collins\"\", \"\"affiliation\"\": \"\"Sweeney Inc\"\", \"\"email\"\": \"\"fbutler@example.net\"\"}, {\"\"name\"\": \"\"\",394,,,,None,\"[\"\"budget\"\", \"\"discuss\"\", \"\"camera\"\", \"\"recently\"\"]\",,,arXiv:2022.97037,10.6313/pVfR,Nature,2021,,,,Ergonomic systemic capability\r\n\"Image pay artist need tonight care in religious. Sell focus Democrat drop add everybody a.\nWith marr\",\"[{\"\"name\"\": \"\"Donna Lindsey\"\", \"\"affiliation\"\": \"\"Prince and Sons\"\", \"\"email\"\": \"\"william62@example.org\"\"}, {\"\"na\",484,,,,\"Chambers, Tyler and Jimenez\",\"[\"\"just\"\", \"\"attention\"\", \"\"enjoy\"\"]\",,,arXiv:2021.28698,10.2717/zkdK,Cell,2024,,,,Intuitive empowering concept\r\nPractice candidate left process. Environmental energy line win.,\"[{\"\"name\"\": \"\"Amy Buckley\"\", \"\"affiliation\"\": \"\"Williams and Sons\"\", \"\"email\"\": \"\"smithkathryn@example.net\"\"}, {\",385,,,,Rose-Johnson,\"[\"\"east\"\", \"\"could\"\", \"\"pull\"\"]\",,,arXiv:2024.41230,10.5302/Tezk,Science,2022,,,,Grass-roots dedicated open architecture\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"May 2020\"\ntotal_revenue = 4703125\nunits_sold = 95535\n[[channels]]\nname = \"wholesale\"\nrevenue = 291081\ngrowth = 13.08\n\n[[channels]]\nname = \"online\"\nrevenue = 3224717\ngrowth = 19.89\n\n[[top_products]]\nsku = \"SKU-1104\"\nsales = 202228\n\n[[top_products]]\nsku = \"SKU-8974\"\nsales = 366825\n\n[[top_products]]\nsku = \"SKU-9026\"\nsales = 369219\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-3793814\",\n  \"patient_mrn\": \"MRN-247204\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 197.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 193.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 197.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 109.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3793814</result_id>\n<patient_mrn>MRN-247204</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>188.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>197.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>193.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>197.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>109.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-946690\nstudent_id: STU-268675\ncourse_id: CRS-1216\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 10\n  points_possible: 10\n- question: 2\n  points_earned: 1\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 8\n  points_possible: 10\n- question: 5\n  points_earned: 2\n  points_possible: 10\n- question: 6\n  points_earned: 5\n  points_possible: 10\n- question: 7\n  points_earned: 8\n  points_possible: 10\n- question: 8\n  points_earned: 5\n  points_possible: 10\n- question: 9\n  points_earned: 0\n  points_possible: 10\n- question: 10\n  points_earned: 4\n  points_possible: 10\n- question: 11\n  points_earned: 2\n  points_possible: 10\n- question: 12\n  points_earned: 2\n  points_possible: 10\ntotal_score: 81\npercentage: 50.49\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}]\",fever,2026-01-05,CN-3409162,35,F,MRN-721241,173/107,61,99.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I93\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K28\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-03,CN-3222548,72,M,MRN-321004,167/66,108,102.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I90\"\"}]\",headache,2026-01-02,CN-9493957,72,F,MRN-957311,126/66,94,99.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need clinical note details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-1394512\npatient:\n  mrn: MRN-917506\n  age: 78\n  gender: F\nencounter_date: '2026-01-01'\nchief_complaint: chest pain\nvitals:\n  bp: 155/73\n  hr: 114\n  temp_f: 100.8\nassessment:\n- problem: diabetes\n  icd10: I15\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.49729\"\ntitle = \"Optimized fault-tolerant monitoring\"\nabstract = \"Relate make read game soldier new. Agree south attorney one century drive draw.\\nReduce head tax certainly offer deal. Sister station adult seat wear.\"\nkeywords = [ \"gas\", \"understand\", \"everything\", \"miss\",]\ncitations = 65\nfunding_source = \"Parsons Inc\"\n[[authors]]\nname = \"Ashley Hubbard\"\naffiliation = \"Mcdonald-White\"\nemail = \"jenniferlong@example.net\"\n\n[[authors]]\nname = \"Erica Marshall\"\naffiliation = \"Calderon-Dalton\"\nemail = \"adouglas@example.org\"\n\n[[authors]]\nname = \"Mercedes Campbell\"\naffiliation = \"Davis-Lynch\"\nemail = \"yharris@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2024\ndoi = \"10.3465/hMKF\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-18209344\nplatform: facebook\nuser_id: 8880ae5d-22ce-466e-ac5d-224201417b5e\nusername: xmcbride\ncontent: 'Determine live compare center as direction. Eye experience low wear. If\n  south level.\n\n  Worry expect style camera. Scene majority pay voice television professor.'\ntimestamp: '2026-01-07T13:51:27.602464'\nhashtags:\n- '#culture'\n- '#whole'\n- '#central'\nengagement:\n  likes: 2214\n  shares: 878\n  comments: 146\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Open-source well-modulated benchmark API\"\nversion = \"1.0.0\"\n\n[paths.\"/radio\".get]\nsummary = \"Media star along will.\"\n[[paths.\"/radio\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/radio\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/radio\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Smith-Glover\nticker: JROI\nquarter: Q3 2023\nrevenue: 95238846\nexpenses: 30652579\nnet_income: 5856951\neps: 7.31\nmetrics:\n  profit_margin: 9.94\n  roe: 10.91\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-503362\",\n  \"student_id\": \"STU-235214\",\n  \"course_id\": \"CRS-9952\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 52,\n  \"percentage\": 94.35,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Business-focused context-sensitive task-force API\n  version: 1.0.0\npaths:\n  /media:\n    get:\n      summary: Nature though indicate nothing.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/finally_get_parameters,paths_/finally_get_responses_200_description,paths_/finally_get_responses_400_description,paths_/finally_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Robust demand-driven hub API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Describe experience pick treatment up remain withi,,,,\r\nThreat able no around later quickly upon. Rule address another tree end affect.,\"[{\"\"name\"\": \"\"Matthew Richards\"\", \"\"affiliation\"\": \"\"Hernandez-Rivera\"\", \"\"email\"\": \"\"jonathan71@example.net\"\"},\",37,None,,,\"[\"\"first\"\", \"\"sea\"\", \"\"cup\"\", \"\"than\"\"]\",,arXiv:2024.30877,,,,,10.3397/HKLv,Nature,2022,Operative dynamic definition\r\nEmployee news catch. Civil while sit behind how may authority.,\"[{\"\"name\"\": \"\"Jonathan Harrison\"\", \"\"affiliation\"\": \"\"Bryant-Mendoza\"\", \"\"email\"\": \"\"jacobwilliams@example.net\"\"\",412,None,,,\"[\"\"step\"\", \"\"if\"\", \"\"whether\"\", \"\"tend\"\"]\",,arXiv:2023.74568,,,,,10.5707/kRyB,Science,2020,Re-engineered next generation contingency\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Robust demand-driven hub API\"\nversion = \"1.0.0\"\n\n[paths.\"/finally\".get]\nsummary = \"Describe experience pick treatment up remain withi\"\n[[paths.\"/finally\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/finally\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/finally\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/finally\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/finally\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need research paper details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.66238\"\ntitle = \"Managed encompassing hardware\"\nabstract = \"Son themselves save measure apply statement blood shoulder. Ahead its offer three season.\"\nkeywords = [ \"produce\", \"discuss\", \"happen\", \"realize\",]\ncitations = 302\nfunding_source = \"Woods-Mitchell\"\n[[authors]]\nname = \"Gloria Ramirez\"\naffiliation = \"Butler-Nguyen\"\nemail = \"jennifer39@example.com\"\n\n[[authors]]\nname = \"Richard Hood\"\naffiliation = \"Knight, Dalton and Mendez\"\nemail = \"blackburnmichael@example.org\"\n\n[[authors]]\nname = \"James Phillips\"\naffiliation = \"Williams, Torres and Hale\"\nemail = \"markcook@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2023\ndoi = \"10.6910/bbGr\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output contract as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-760727\"\neffective_date = \"2026-01-04\"\nterm_months = 15\nvalue = 170545\nstatus = \"active\"\n[[parties]]\nname = \"King, Moore and Vazquez\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Brown, Henry and Craig\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5336793\"\npatient_mrn = \"MRN-644295\"\nprescriber = \"Thomas Ponce\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-8093004\",\n  \"patient_mrn\": \"MRN-777027\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 96.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 185.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 139.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-8093004</result_id>\n<patient_mrn>MRN-777027</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>140.2</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>96.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>185.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>139.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from TOML to CSV:\ntxn_id = \"TXN-13058367\"\ncustomer_id = \"852e4544-1bd4-44f1-abf0-2ff01b4a4792\"\ntimestamp = \"2026-01-07T13:51:26.835091\"\nsubtotal = 408.33\ntax = 11.32\ntotal = 1142.29\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-47822\"\nqty = 3\nprice = 237.72\n\n[[items]]\nsku = \"SKU-38430\"\nqty = 4\nprice = 285.9\n\n[[items]]\nsku = \"SKU-22327\"\nqty = 1\nprice = 141.71\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n852e4544-1bd4-44f1-abf0-2ff01b4a4792,\"[{\"\"sku\"\": \"\"SKU-47822\"\", \"\"qty\"\": 3, \"\"price\"\": 237.72}, {\"\"sku\"\": \"\"SKU-38430\"\", \"\"qty\"\": 4, \"\"price\"\": 285.9}, {\"\"\",paypal,408.33,11.32,2026-01-07T13:51:26.835091,1142.29,TXN-13058367\r\n71aeac04-7023-4605-b6b3-0bb6ceecce85,\"[{\"\"sku\"\": \"\"SKU-42903\"\", \"\"qty\"\": 1, \"\"price\"\": 23.1}]\",apple_pay,366.27,115.81,2026-01-07T13:51:26.837134,736.69,TXN-61906496\r\n3fe3095c-7cf8-4dcb-b878-6803e1dad007,\"[{\"\"sku\"\": \"\"SKU-91221\"\", \"\"qty\"\": 4, \"\"price\"\": 349.85}, {\"\"sku\"\": \"\"SKU-18747\"\", \"\"qty\"\": 2, \"\"price\"\": 439.71}, {\",paypal,1687.63,22.51,2026-01-07T13:51:26.837216,753.99,TXN-62431039\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-19357850\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"664b960b-1331-492f-addd-e9b37d21656f\",\n  \"username\": \"mbaldwin\",\n  \"content\": \"Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.\",\n  \"timestamp\": \"2026-01-07T13:51:27.605837\",\n  \"hashtags\": [\n    \"#cost\",\n    \"#he\",\n    \"#relationship\"\n  ],\n  \"engagement\": {\n    \"likes\": 304,\n    \"shares\": 796,\n    \"comments\": 124\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19357850</post_id>\n<platform>twitter</platform>\n<user_id>664b960b-1331-492f-addd-e9b37d21656f</user_id>\n<username>mbaldwin</username>\n<content>Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.</content>\n<timestamp>2026-01-07T13:51:27.605837</timestamp>\n<hashtags>#cost</hashtags>\n<hashtags>#he</hashtags>\n<hashtags>#relationship</hashtags>\n<engagement>\n<likes>304</likes>\n<shares>796</shares>\n<comments>124</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"title\": \"Polarized methodical algorithm\",\n  \"authors\": [\n    {\n      \"name\": \"Caroline Barnes\",\n      \"affiliation\": \"Parker Ltd\",\n      \"email\": \"angelajackson@example.net\"\n    },\n    {\n      \"name\": \"Mario Boyd\",\n      \"affiliation\": \"Johnson, Barber and Higgins\",\n      \"email\": \"lfuller@example.com\"\n    }\n  ],\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-971888,2026-01-01,\"[{\"\"name\"\": \"\"Young Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Grant Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,21,932511\r\nCTR-476073,2026-01-01,\"[{\"\"name\"\": \"\"Davis-Garza\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mitchell-Ramsey\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,41,354932\r\nCTR-421345,2026-01-02,\"[{\"\"name\"\": \"\"Bennett-Lawrence\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Wagner Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,20,753680\r\nCTR-740598,2026-01-05,\"[{\"\"name\"\": \"\"Hernandez, Hall and Chandler\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Poole-Perez\"\", \"\"role\"\": \"\"party\",pending,56,310358\r\nCTR-407790,2026-01-03,\"[{\"\"name\"\": \"\"Washington, Stewart and Shepard\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Guerrero Group\"\", \"\"role\"\": \",active,40,417629\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nSpecific other kind choice. Condition main resource finish north reach with break. Area strategy hug,204,3831,379,\"[\"\"#model\"\", \"\"#firm\"\"]\",facebook,POST-78635818,2026-01-07T13:51:25.965362,a739269a-9642-463c-9c88-cb97c795c8d8,kevin10\r\n\"Race good what lot film. Executive I notice let. Door cup turn economy that here who edge.\nMinute wa\",454,8304,928,\"[\"\"#wrong\"\", \"\"#international\"\", \"\"#offer\"\", \"\"#tend\"\"]\",instagram,POST-88348234,2026-01-07T13:51:25.966680,95c41e22-2545-443a-a874-ee123c3752c5,jasonwilliams\r\n\"Tree rather itself buy character human election. Nice send set ground enjoy team.\nSeason with range \",425,5206,788,\"[\"\"#admit\"\", \"\"#son\"\", \"\"#figure\"\"]\",instagram,POST-37210196,2026-01-07T13:51:25.967099,2db0349f-4fc7-4c85-a9c7-02b73e975bde,iwalker\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-7309915\npatient_mrn: MRN-389849\nprescriber: Briana Dickerson\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-246302,observational,246,771,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 21.88, \"\"endpoint\"\": 97.82, \"\"p_value\"\": 0.1982}, {\"\"metric\"\": \"\"efficacy\",Effect of successful on at\r\nnon-significant,EXP-418321,cohort,143,357,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 68.02, \"\"endpoint\"\": 78.24, \"\"p_value\"\": 0.4383}, {\"\"metric\"\": \"\"safety\",Effect of operation on office\r\nsignificant,EXP-422362,cohort,225,267,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 14.5, \"\"endpoint\"\": 72.24, \"\"p_value\"\": 0.4832}, {\"\"metric\"\": \"\"safety\"\", \",Effect of can on before\r\nnon-significant,EXP-263612,observational,112,266,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 33.21, \"\"endpoint\"\": 99.55, \"\"p_value\"\": 0.0674}, {\"\"metric\"\": \"\"efficacy\",Effect of no on say\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-9595817\",\n  \"patient\": {\n    \"mrn\": \"MRN-972408\",\n    \"age\": 32,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"102/103\",\n    \"hr\": 113,\n    \"temp_f\": 102.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K99\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Cross-group bottom-line algorithm API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/rule\": {\n      \"get\": {\n        \"summary\": \"Center available level environment per away author\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Cross-group bottom-line algorithm API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</rule>\n<get>\n<summary>Center available level environment per away author</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//rule>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4303735</result_id>\n<patient_mrn>MRN-230243</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>142.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>100.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,Lipid,MRN-230243,LAB-4303735,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 142.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 10\"\r\n2026-01-02,CBC,MRN-734729,LAB-3869434,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 159.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 7\"\r\n2026-01-01,CMP,MRN-886182,LAB-4165206,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 145.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-330074,RCT,247,328,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.54, \"\"endpoint\"\": 53.32, \"\"p_value\"\": 0.0487}, {\"\"metric\"\": \"\"safety\",Effect of politics on stop\r\nnon-significant,EXP-260755,cohort,113,628,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 74.48, \"\"endpoint\"\": 63.81, \"\"p_value\"\": 0.3973}, {\"\"metric\"\": \"\"efficacy\",Effect of structure on deep\r\nsignificant,EXP-236883,cohort,349,828,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 95.69, \"\"endpoint\"\": 88.84, \"\"p_value\"\": 0.0656}, {\"\"metric\"\": \"\"safety\"\",\",Effect of two on former\r\nnon-significant,EXP-851071,cohort,318,576,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 37.45, \"\"endpoint\"\": 97.83, \"\"p_value\"\": 0.0116}, {\"\"metric\"\": \"\"efficacy\",Effect of everyone on experience\r\nnon-significant,EXP-385875,cohort,204,726,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 19.28, \"\"endpoint\"\": 81.05, \"\"p_value\"\": 0.4331}, {\"\"metric\"\": \"\"effica\",Effect of modern on allow\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"article_id\": \"ART-1748125\",\n  \"headline\": \"Customizable leadingedge structure\",\n  \"author\": \"Sandra Bennett\",\n  \"published\": \"2026-01-03T22:52:42.741679\",\n  \"section\": \"Sports\",\n  \"content\": \"Majority meeting sound have week public pass. Major food relate spend seven.\\nIndeed run fund.\\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.\",\n  \"tags\": [\n    \"subject\",\n    \"attention\",\n    \"class\",\n    \"campaign\",\n    \"second\"\n  ],\n  \"views\": 63827,\n  \"shares\": 2505\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1748125</article_id>\n<headline>Customizable leadingedge structure</headline>\n<author>Sandra Bennett</author>\n<published>2026-01-03T22:52:42.741679</published>\n<section>Sports</section>\n<content>Majority meeting sound have week public pass. Major food relate spend seven.\nIndeed run fund.\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.</content>\n<tags>subject</tags>\n<tags>attention</tags>\n<tags>class</tags>\n<tags>campaign</tags>\n<tags>second</tags>\n<views>63827</views>\n<shares>2505</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"result_id\": \"LAB-1812594\",\n  \"patient_mrn\": \"MRN-755137\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 131.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 183.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 130.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 178.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1812594</result_id>\n<patient_mrn>MRN-755137</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>131.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>183.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>130.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>178.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-996269\"\nstudent_id = \"STU-878254\"\ncourse_id = \"CRS-8988\"\ntype = \"exam\"\ndate = \"2026-01-03\"\ntotal_score = 71\npercentage = 94.86\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 3\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39452168</post_id>\n<platform>twitter</platform>\n<user_id>ca270bc8-d443-4389-880a-6fc8dd3e9fa5</user_id>\n<username>robertowens</username>\n<content>With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\nFactor even apply how three box light.</content>\n<timestamp>2026-01-07T13:51:25.425211</timestamp>\n<hashtags>#training</hashtags>\n<hashtags>#Democrat</hashtags>\n<hashtags>#pattern</hashtags>\n<hashtags>#discover</hashtags>\n<engagement>\n<likes>5319</likes>\n<shares>573</shares>\n<comments>283</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-39452168\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"ca270bc8-d443-4389-880a-6fc8dd3e9fa5\",\n  \"username\": \"robertowens\",\n  \"content\": \"With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\\nFactor even apply how three box light.\",\n  \"timestamp\": \"2026-01-07T13:51:25.425211\",\n  \"hashtags\": [\n    \"#training\",\n    \"#Democrat\",\n    \"#pattern\",\n    \"#discover\"\n  ],\n  \"engagement\": {\n    \"likes\": 5319,\n    \"shares\": 573,\n    \"comments\": 283\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,chief_complaint,citations,encounter_date,funding_source,keywords,paper_id,patient_age,patient_gender,patient_mrn,publication_doi,publication_venue,publication_year,title\r\n,,chest pain,,2026-01-03,,,,25,F,MRN-729929,,,,\r\n\"Four close blue get agent must. Along else or amount nature hundred.\nWith card require at run. Debat\",\"[{\"\"name\"\": \"\"Amy Rodriguez\"\", \"\"affiliation\"\": \"\"Kelly, Sanchez and Saunders\"\", \"\"email\"\": \"\"alyssamcdaniel@ex\",,383,,\"Anderson, Alvarez and Reed\",\"[\"\"treatment\"\", \"\"guess\"\", \"\"peace\"\", \"\"wife\"\"]\",arXiv:2021.69576,,,,10.8165/VBQZ,Nature,2024,Focused next generation access\r\nLeast detail father four court feeling exactly foot. Hold edge hundred idea.,\"[{\"\"name\"\": \"\"Zachary Olson\"\", \"\"affiliation\"\": \"\"Bailey, Gonzalez and Garcia\"\", \"\"email\"\": \"\"kingram@example.o\",,97,,Stewart-Douglas,\"[\"\"identify\"\", \"\"improve\"\", \"\"institution\"\", \"\"simply\"\"]\",arXiv:2021.39502,,,,10.6466/tqdM,Cell,2021,Enhanced analyzing process improvement\r\n\"This go network all. Record around minute leave sure return.\nSouth risk suddenly close report. Help \",\"[{\"\"name\"\": \"\"Jaclyn Jones\"\", \"\"affiliation\"\": \"\"Jones-Jensen\"\", \"\"email\"\": \"\"mary44@example.com\"\"}, {\"\"name\"\": \"\"D\",,34,,None,\"[\"\"or\"\", \"\"employee\"\", \"\"hold\"\", \"\"major\"\"]\",arXiv:2021.65243,,,,10.5112/TsBI,Cell,2020,Vision-oriented 24/7 hardware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,items,keywords,paper_id,publication_doi,publication_venue,publication_year,subtotal,tax,title,total\r\n,,,,\"[{\"\"sku\"\": \"\"SKU-62708\"\", \"\"qty\"\": 3, \"\"price\"\": 121.39}]\",,,,,,1655.93,19.12,,1424.63\r\n\"Recently I blood. Bill nearly evening. Customer common join goal.\nSince increase be ten involve exac\",\"[{\"\"name\"\": \"\"Tricia Sampson\"\", \"\"affiliation\"\": \"\"Vargas-Kim\"\", \"\"email\"\": \"\"misty51@example.com\"\"}, {\"\"name\"\": \"\"\",437,None,,\"[\"\"for\"\", \"\"suddenly\"\", \"\"she\"\"]\",arXiv:2024.64869,10.9827/jZkE,Cell,2021,,,De-engineered explicit algorithm,\r\nAdmit other common modern turn. As any budget according force option.,\"[{\"\"name\"\": \"\"Teresa Nguyen\"\", \"\"affiliation\"\": \"\"Collins, Douglas and Riggs\"\", \"\"email\"\": \"\"monicamason@exampl\",372,\"Bonilla, Moore and Keith\",,\"[\"\"work\"\", \"\"many\"\", \"\"form\"\"]\",arXiv:2023.96588,10.7583/oHsq,Science,2023,,,Adaptive next generation circuit,\r\n\"Wait size impact couple sure. Deep a possible another other.\nIndeed card yard picture degree street \",\"[{\"\"name\"\": \"\"Alyssa Garcia\"\", \"\"affiliation\"\": \"\"Williams Inc\"\", \"\"email\"\": \"\"ashley41@example.net\"\"}, {\"\"name\"\":\",379,Washington-Williams,,\"[\"\"off\"\", \"\"generation\"\", \"\"case\"\", \"\"hospital\"\"]\",arXiv:2021.84827,10.5873/IgNf,Science,2020,,,Organic optimizing knowledge user,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3766387</note_id>\n<patient>\n<mrn>MRN-378219</mrn>\n<age>48</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>145/101</bp>\n<hr>106</hr>\n<temp_f>101.7</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J94</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-3766387\",\n  \"patient\": {\n    \"mrn\": \"MRN-378219\",\n    \"age\": 48,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"145/101\",\n    \"hr\": 106,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J94\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,Lipid,MRN-871984,LAB-4827299,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 156.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 186.0, \"\"u\"\r\n2026-01-04,CBC,MRN-322233,LAB-4110221,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 130.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 139.4, \"\"un\"\r\n2026-01-03,CBC,MRN-633637,LAB-9180719,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 147.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": \"\r\n2026-01-04,Lipid,MRN-329788,LAB-4253485,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 85.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 15\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-288168\"\ntitle = \"Effect of ground on month\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 83.3\nendpoint = 54.27\np_value = 0.2427\n\n[[results]]\nmetric = \"safety\"\nbaseline = 26.0\nendpoint = 74.54\np_value = 0.0726\n\n[[results]]\nmetric = \"safety\"\nbaseline = 11.4\nendpoint = 83.16\np_value = 0.2304\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 308\nduration_days = 176\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3727\"\ncode = \"RDV209\"\ntitle = \"Versatile dynamic neural-net 101\"\ninstructor = \"Caleb Bates\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"edge\"\n\n[[schedule]]\nweek = 2\ntopic = \"response\"\n\n[[schedule]]\nweek = 3\ntopic = \"civil\"\n\n[[schedule]]\nweek = 4\ntopic = \"put\"\n\n[[schedule]]\nweek = 5\ntopic = \"draw\"\n\n[[schedule]]\nweek = 6\ntopic = \"catch\"\n\n[[schedule]]\nweek = 7\ntopic = \"manager\"\n\n[[schedule]]\nweek = 8\ntopic = \"president\"\n\n[[schedule]]\nweek = 9\ntopic = \"art\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nee50bb87-b523-4e25-a457-71a20134c9ce,\"[{\"\"sku\"\": \"\"SKU-38396\"\", \"\"qty\"\": 2, \"\"price\"\": 358.14}, {\"\"sku\"\": \"\"SKU-16249\"\", \"\"qty\"\": 1, \"\"price\"\": 424.96}, {\",paypal,641.99,131.13,2026-01-06T09:43:32.230191,2135.0,TXN-96998587\r\nc94f1dcb-963f-4148-8f24-0d562549f1a4,\"[{\"\"sku\"\": \"\"SKU-41257\"\", \"\"qty\"\": 3, \"\"price\"\": 43.83}, {\"\"sku\"\": \"\"SKU-55086\"\", \"\"qty\"\": 4, \"\"price\"\": 470.53}]\",apple_pay,988.0,83.84,2026-01-06T09:43:32.234404,169.01,TXN-25285951\r\nbf4a04c7-e32d-4513-a428-e8bdc086de67,\"[{\"\"sku\"\": \"\"SKU-53089\"\", \"\"qty\"\": 3, \"\"price\"\": 499.64}, {\"\"sku\"\": \"\"SKU-83454\"\", \"\"qty\"\": 4, \"\"price\"\": 313.12}, {\",apple_pay,1597.1,20.86,2026-01-06T09:43:32.234509,1110.76,TXN-82418353\r\ne4841bf5-ebcd-4dda-b6bc-1fe731e93502,\"[{\"\"sku\"\": \"\"SKU-53249\"\", \"\"qty\"\": 4, \"\"price\"\": 317.94}, {\"\"sku\"\": \"\"SKU-31873\"\", \"\"qty\"\": 1, \"\"price\"\": 149.7}]\",paypal,1906.24,89.03,2026-01-06T09:43:32.234590,109.44,TXN-83241178\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-353280,,CRS-9241,,2026-01-05,C,,,,,88.23,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-259399,,,68,quiz\r\n,VPJ137,CRS-3023,4,,,40,30,30,Rachel Nelson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"scientist\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"game\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"same\"\"}, {\"\"we\",,,Spring 2021,Quality-focused even-keeled emulation 101,,\r\n,TRH384,CRS-3621,4,,,40,30,30,Dana Bailey,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"majority\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"page\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"design\"\"}, {\"\"w\",,,Spring 2023,Innovative holistic benchmark 101,,\r\n,CFI146,CRS-3913,3,,,40,30,30,Laura Lewis,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"certain\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"film\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"find\"\"}, {\"\"week\",,,Fall 2024,Intuitive static capacity 101,,\r\n,JFO258,CRS-1460,4,,,40,30,30,Michael Campbell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"work\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"score\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"finish\"\"}, {\"\"week\",,,Fall 2020,Multi-tiered attitude-oriented workforce 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate error log data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"d03afc03-94bd-4dbb-bf49-9cda441c119b\"\ntimestamp = \"2026-01-07T13:51:25.952127\"\nlevel = \"CRITICAL\"\nservice = \"fromService\"\nmessage = \"Add perform politics some card score brother.\"\nstack_trace = [ \"at send.py:152\", \"at young.py:309\",]\n\n[context]\nuser_id = \"2b3e5573-7b69-4807-a899-cbaa4adadf38\"\nrequest_id = \"beac9c14-4ae5-407d-9aae-d7a56f6790f6\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-6496\ncode: TMG245\ninstructor: Maria Bowers\nschedule:\n- week: 1\n  topic: situation\n- week: 2\n  topic: firm\n- week: 3\n  topic: involve\n- week: 4\n  topic: change\n- week: 5\n  topic: yard\n- week: 6\n  topic: morning\n- week: 7\n  topic: other\n- week: 8\n  topic: left\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,user_id\r\n,,3,,,,PROD-460527,4,REV-6802748,,,,,3a3de68b-84b5-45cb-967b-b6a5e3c029cb\r\nclothing,USD,,True,Cloned stable protocol,304.76,PROD-589218,3.5,,178,69x21x47cm,34.83,764,\r\nelectronics,USD,,True,Front-line asynchronous emulation,381.05,PROD-998605,4.83,,168,60x47x56cm,45.84,246,\r\nelectronics,USD,,True,Customizable zero administration migration,744.52,PROD-556309,1.11,,127,57x91x80cm,21.17,405,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-393268\",\n  \"title\": \"Effect of themselves on time\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 237,\n    \"duration_days\": 116\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.76,\n      \"endpoint\": 73.98,\n      \"p_value\": 0.4055\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 70.26,\n      \"endpoint\": 84.17,\n      \"p_value\": 0.253\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.1,\n      \"endpoint\": 56.91,\n      \"p_value\": 0.1172\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-393268</experiment_id>\n<title>Effect of themselves on time</title>\n<methodology>\n<design>RCT</design>\n<sample_size>237</sample_size>\n<duration_days>116</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.76</baseline>\n<endpoint>73.98</endpoint>\n<p_value>0.4055</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>70.26</baseline>\n<endpoint>84.17</endpoint>\n<p_value>0.253</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.1</baseline>\n<endpoint>56.91</endpoint>\n<p_value>0.1172</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n3fe35528-f72a-4e45-bcf8-f7cb059fe7e5,\"[{\"\"sku\"\": \"\"SKU-59380\"\", \"\"qty\"\": 2, \"\"price\"\": 447.63}, {\"\"sku\"\": \"\"SKU-56357\"\", \"\"qty\"\": 4, \"\"price\"\": 130.56}, {\",apple_pay,1853.52,74.51,2026-01-07T13:51:27.778783,1419.49,TXN-20904368\r\n65034345-49ed-4e0e-8cf0-cc2fa07c4c41,\"[{\"\"sku\"\": \"\"SKU-66926\"\", \"\"qty\"\": 2, \"\"price\"\": 412.29}]\",apple_pay,768.96,92.62,2026-01-07T13:51:27.780122,1096.76,TXN-55193557\r\n1e89a59b-9c19-42d5-b832-f7ac1cca0fcf,\"[{\"\"sku\"\": \"\"SKU-29338\"\", \"\"qty\"\": 4, \"\"price\"\": 383.29}, {\"\"sku\"\": \"\"SKU-27248\"\", \"\"qty\"\": 2, \"\"price\"\": 131.29}, {\",credit_card,1304.11,110.73,2026-01-07T13:51:27.780173,920.45,TXN-88368033\r\nd1b31124-8de7-4cbe-a484-f72a8f6cc8ad,\"[{\"\"sku\"\": \"\"SKU-26613\"\", \"\"qty\"\": 4, \"\"price\"\": 239.51}, {\"\"sku\"\": \"\"SKU-14570\"\", \"\"qty\"\": 3, \"\"price\"\": 302.82}, {\",credit_card,103.98,134.59,2026-01-07T13:51:27.780221,1930.99,TXN-99668834\r\n35b6929e-ea36-43b0-ae68-6d85fc0ce801,\"[{\"\"sku\"\": \"\"SKU-49018\"\", \"\"qty\"\": 2, \"\"price\"\": 143.28}, {\"\"sku\"\": \"\"SKU-71933\"\", \"\"qty\"\": 1, \"\"price\"\": 29.07}]\",paypal,1559.34,131.04,2026-01-07T13:51:27.780260,2007.98,TXN-86934436\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>7af25ba6-3e63-43d5-89e6-c5a6b377b923</error_id>\n<timestamp>2026-01-07T13:51:26.975438</timestamp>\n<level>CRITICAL</level>\n<service>downService</service>\n<message>Prevent true movie stop.</message>\n<stack_trace>at hand.py:436</stack_trace>\n<stack_trace>at whose.py:275</stack_trace>\n<stack_trace>at information.py:57</stack_trace>\n<stack_trace>at central.py:306</stack_trace>\n<context>\n<user_id>dc348ded-7e54-44aa-bfc8-75caf977ffdf</user_id>\n<request_id>cc597ab0-ad26-419a-8cbb-1facc38a2f79</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntax = 39.55\ntotal = 1865.58\ncustomer_id = \"bf96f80b-072c-4f04-82b0-c235c01681a8\"\n[[items]]\nsku = \"SKU-71565\"\nqty = 1\nprice = 387.38\n\n[[items]]\nsku = \"SKU-23891\"\nqty = 1\nprice = 432.74\n\n[[items]]\nsku = \"SKU-77840\"\nqty = 1\nprice = 463.12\n\n[[items]]\nsku = \"SKU-27496\"\nqty = 3\nprice = 295.3\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-52722833\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"d42576ea-a78d-4261-852d-cbcc2fd55da5\",\n  \"username\": \"justin96\",\n  \"content\": \"Southern write three operation throw interest whether.\\nDecade quality training employee. Financial out position catch finish author. Past over in create.\\nNice reduce try contain future back customer.\",\n  \"timestamp\": \"2026-01-07T13:51:26.716888\",\n  \"hashtags\": [\n    \"#report\",\n    \"#newspaper\"\n  ],\n  \"engagement\": {\n    \"likes\": 8106,\n    \"shares\": 850,\n    \"comments\": 244\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-52722833</post_id>\n<platform>facebook</platform>\n<user_id>d42576ea-a78d-4261-852d-cbcc2fd55da5</user_id>\n<username>justin96</username>\n<content>Southern write three operation throw interest whether.\nDecade quality training employee. Financial out position catch finish author. Past over in create.\nNice reduce try contain future back customer.</content>\n<timestamp>2026-01-07T13:51:26.716888</timestamp>\n<hashtags>#report</hashtags>\n<hashtags>#newspaper</hashtags>\n<engagement>\n<likes>8106</likes>\n<shares>850</shares>\n<comments>244</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"company\": \"Thompson LLC\",\n  \"ticker\": \"QQLN\",\n  \"quarter\": \"Q2 2020\",\n  \"revenue\": 63838743,\n  \"expenses\": 967762,\n  \"net_income\": 16633381,\n  \"eps\": 0.69,\n  \"metrics\": {\n    \"profit_margin\": 22.56,\n    \"roe\": 23.58\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Thompson LLC\nticker: QQLN\nquarter: Q2 2020\nrevenue: 63838743\nexpenses: 967762\nnet_income: 16633381\neps: 0.69\nmetrics:\n  profit_margin: 22.56\n  roe: 23.58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate sales analytics data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2975287, \"\"growth\"\": -1.88}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 2665464, \",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-1172\"\", \"\"sales\"\": 348860}, {\"\"sku\"\": \"\"SKU-4431\"\", \"\"sales\"\": 479568}, {\"\"sku\"\": \"\"SKU-6244\"\", \"\"sa\",1467254,63744\r\nPlace your cold visit student main. Manage bed relationship simple stay play thought. Sea leader tel,\"[{\"\"name\"\": \"\"Amy Wood\"\", \"\"affiliation\"\": \"\"Riley-Jones\"\", \"\"email\"\": \"\"aprilwoods@example.com\"\"}, {\"\"name\"\": \"\"Am\",,202,None,\"[\"\"deep\"\", \"\"impact\"\", \"\"discussion\"\", \"\"smile\"\"]\",arXiv:2020.65454,,10.1876/SEmK,Cell,2021,Proactive asynchronous encoding,,,\r\nOut still reality room system hair. Bank long turn production day. Almost arrive trip agent.,\"[{\"\"name\"\": \"\"Samuel Johnson\"\", \"\"affiliation\"\": \"\"Barrera, Romero and Mills\"\", \"\"email\"\": \"\"davidcampbell@exam\",,124,None,\"[\"\"key\"\", \"\"tonight\"\", \"\"very\"\"]\",arXiv:2023.91779,,10.7790/Catx,Science,2021,Versatile well-modulated Local Area Network,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>8332f894-7969-41dc-b41e-1d31b796cba0</error_id>\n<timestamp>2026-01-07T13:51:27.125156</timestamp>\n<level>CRITICAL</level>\n<service>imageService</service>\n<message>Bad prepare able heavy morning.</message>\n<stack_trace>at property.py:50</stack_trace>\n<stack_trace>at short.py:272</stack_trace>\n<context>\n<user_id>a3de195f-baae-4936-bd72-230b1e266327</user_id>\n<request_id>35eb846c-1e2f-4451-a60f-b8ee42943a10</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 8332f894-7969-41dc-b41e-1d31b796cba0\ntimestamp: '2026-01-07T13:51:27.125156'\nlevel: CRITICAL\nservice: imageService\nmessage: Bad prepare able heavy morning.\nstack_trace:\n- at property.py:50\n- at short.py:272\ncontext:\n  user_id: a3de195f-baae-4936-bd72-230b1e266327\n  request_id: 35eb846c-1e2f-4451-a60f-b8ee42943a10\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.54834</paper_id>\n<title>Profit-focused radical throughput</title>\n<authors>\n<name>Scott Dunlap</name>\n<affiliation>Daniels PLC</affiliation>\n<email>williamssheri@example.com</email>\n</authors>\n<authors>\n<name>Shawn Payne</name>\n<affiliation>Dorsey, Price and Burns</affiliation>\n<email>smoyer@example.net</email>\n</authors>\n<authors>\n<name>Chase Lee</name>\n<affiliation>Garcia Inc</affiliation>\n<email>burgesssarah@example.org</email>\n</authors>\n<abstract>Read deal buy final thus. Sure home game rest lose.\nThose any reality if teach.\nMain never still little study clearly today.</abstract>\n<keywords>measure</keywords>\n<keywords>stage</keywords>\n<keywords>scene</keywords>\n<keywords>reason</keywords>\n<publication>\n<venue>Science</venue>\n<year>2020</year>\n<doi>10.8776/UhOT</doi>\n</publication>\n<citations>388</citations>\n<funding_source>Reese-Perez</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1154\"\ncode = \"YVI312\"\ntitle = \"Operative even-keeled complexity 101\"\ninstructor = \"Margaret French\"\ncredits = 3\nterm = \"Spring 2021\"\n[[schedule]]\nweek = 1\ntopic = \"eat\"\n\n[[schedule]]\nweek = 2\ntopic = \"sea\"\n\n[[schedule]]\nweek = 3\ntopic = \"far\"\n\n[[schedule]]\nweek = 4\ntopic = \"effect\"\n\n[[schedule]]\nweek = 5\ntopic = \"mind\"\n\n[[schedule]]\nweek = 6\ntopic = \"not\"\n\n[[schedule]]\nweek = 7\ntopic = \"improve\"\n\n[[schedule]]\nweek = 8\ntopic = \"bill\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",,,RX-5523111\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-117171,Karen Reed,RX-5166396\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-501151,Joseph Johnson,RX-7279883\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-514305,Mrs. Sarah Graham,RX-6108923\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\",MRN-487883,Joshua Larson,RX-4171961\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-5523111\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nreview_id = \"REV-1274071\"\nproduct_id = \"PROD-300785\"\nuser_id = \"c183a72e-4d6f-40ac-92b0-2d1073039571\"\nrating = 5\ntitle = \"Follow large high gas clear drug pretty else.\"\ncontent = \"Recent cause family writer. Old less control he woman. Coach quickly will.\\nRelationship same against one stand agreement. Be fine occur ten energy resource wall. Nation ten continue.\"\ndate = \"2026-01-06\"\nverified_purchase = true\nhelpful_votes = 37\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1274071</review_id>\n<product_id>PROD-300785</product_id>\n<user_id>c183a72e-4d6f-40ac-92b0-2d1073039571</user_id>\n<rating>5</rating>\n<title>Follow large high gas clear drug pretty else.</title>\n<content>Recent cause family writer. Old less control he woman. Coach quickly will.\nRelationship same against one stand agreement. Be fine occur ten energy resource wall. Nation ten continue.</content>\n<date>2026-01-06</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>37</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-39289028\"\nplatform = \"instagram\"\nuser_id = \"a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\"\nusername = \"rhodessharon\"\ncontent = \"City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.\"\ntimestamp = \"2026-01-07T13:51:26.862472\"\nhashtags = [ \"#yet\", \"#listen\",]\n\n[engagement]\nlikes = 2391\nshares = 751\ncomments = 108\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5383313\"\npatient_mrn = \"MRN-584871\"\norder_date = \"2026-01-06\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 194.0\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 67.1\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 195.1\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 146.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 119.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: TID\n  quantity: 60\npatient_mrn: MRN-588828\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Synchronized holistic archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</policy>\n<get>\n<summary>Red reason present loss yeah run.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//policy>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Synchronized holistic archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/policy\": {\n      \"get\": {\n        \"summary\": \"Red reason present loss yeah run.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 6b141850-4372-44c1-8cf7-fc47780a5017\ntimestamp: '2026-01-07T13:51:26.727039'\nlevel: WARNING\nservice: fullService\nmessage: Simply human maintain sport.\nstack_trace:\n- at environmental.py:351\n- at develop.py:28\n- at send.py:431\ncontext:\n  user_id: fad7b695-3fb8-4313-ad8d-c2b1d4034196\n  request_id: 2ca5c81e-d6c8-42a4-9e09-9715e928fe91\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHardy-Nguyen,3.22,30350118,18.82,21.21,14673850,Q3 2024,23201336,ZAMS\r\nLozano Group,8.51,43463027,17.58,20.83,4213324,Q4 2024,65770574,DXAR\r\nMartinez PLC,3.95,17837948,17.88,23.24,14318863,Q4 2022,66122778,SGPY\r\nLong-Collins,1.99,1279714,23.09,14.02,4395585,Q2 2020,61984954,KHOP\r\nRichardson-Walker,8.03,77368916,20.92,24.17,4911781,Q2 2020,71974788,ZHWE\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"Hardy-Nguyen\"\nticker = \"ZAMS\"\nquarter = \"Q3 2024\"\nrevenue = 23201336\nexpenses = 30350118\nnet_income = 14673850\neps = 3.22\n\n[metrics]\nprofit_margin = 18.82\nroe = 21.21\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-544771\"\neffective_date = \"2026-01-02\"\nterm_months = 52\nvalue = 394049\nstatus = \"active\"\n[[parties]]\nname = \"Prince-Finley\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Stone LLC\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Smith-Glover\"\nticker = \"JROI\"\nquarter = \"Q3 2023\"\nrevenue = 95238846\nexpenses = 30652579\nnet_income = 5856951\neps = 7.31\n\n[metrics]\nprofit_margin = 9.94\nroe = 10.91\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\nrx_id: RX-5523111\ndate: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-574681</experiment_id>\n<title>Effect of anyone on society</title>\n<methodology>\n<design>cohort</design>\n<sample_size>560</sample_size>\n<duration_days>320</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>50.77</baseline>\n<endpoint>70.83</endpoint>\n<p_value>0.3046</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>96.52</baseline>\n<endpoint>82.25</endpoint>\n<p_value>0.0326</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>43.38</baseline>\n<endpoint>72.88</endpoint>\n<p_value>0.2787</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>17.71</baseline>\n<endpoint>95.37</endpoint>\n<p_value>0.4542</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-574681\",\n  \"title\": \"Effect of anyone on society\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 560,\n    \"duration_days\": 320\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.77,\n      \"endpoint\": 70.83,\n      \"p_value\": 0.3046\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 96.52,\n      \"endpoint\": 82.25,\n      \"p_value\": 0.0326\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.38,\n      \"endpoint\": 72.88,\n      \"p_value\": 0.2787\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 17.71,\n      \"endpoint\": 95.37,\n      \"p_value\": 0.4542\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-5305677\npatient_mrn: MRN-215469\nprescriber: Jeremy Hatfield\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Metformin\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-350362</assessment_id>\n<student_id>STU-421536</student_id>\n<course_id>CRS-1231</course_id>\n<type>exam</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>51</total_score>\n<percentage>80.6</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-350362\",\n  \"student_id\": \"STU-421536\",\n  \"course_id\": \"CRS-1231\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 51,\n  \"percentage\": 80.6,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-176542,2026-01-04,\"[{\"\"name\"\": \"\"Fox-Garza\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson, Rubio and Gonzales\"\", \"\"role\"\": \"\"party_b\"\"\",executed,34,644021\r\nCTR-369987,2026-01-05,\"[{\"\"name\"\": \"\"Klein Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Choi, Montgomery and Hale\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,40,161839\r\nCTR-208338,2026-01-03,\"[{\"\"name\"\": \"\"Ray-White\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Flores-Fuentes\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,23,564131\r\nCTR-638384,2026-01-02,\"[{\"\"name\"\": \"\"Maldonado, Robertson and Crawford\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Francis, Davis and Ward\",executed,45,400934\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"assessment_id\": \"ASMT-482875\",\n  \"student_id\": \"STU-646713\",\n  \"course_id\": \"CRS-2679\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 98.87,\n  \"grade\": \"C\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-482875,,CRS-2679,,2026-01-01,C,,,,,98.87,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-646713,,,62,assignment\r\n,RJP305,CRS-7530,3,,,40,30,30,Russell Salazar,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"prepare\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"single\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"expert\"\"}, {\"\"\",,,Spring 2024,Phased heuristic flexibility 101,,\r\n,HYW296,CRS-6158,4,,,40,30,30,Robert Morris,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"magazine\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"something\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"ever\"\"}, \",,,Spring 2021,Object-based directional product 101,,\r\n,MXU363,CRS-7693,3,,,40,30,30,Stephanie Fox,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"thank\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"too\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"cell\"\"}, {\"\"week\"\": \",,,Fall 2022,Synergized full-range standardization 101,,\r\n,CNB499,CRS-9415,3,,,40,30,30,Michelle Jimenez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"deal\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"should\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"along\"\"}, {\"\"week\",,,Spring 2023,Robust actuating collaboration 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: September 2023\ntotal_revenue: 9732569\nunits_sold: 38507\nchannels:\n- name: retail\n  revenue: 4979277\n  growth: 36.06\n- name: wholesale\n  revenue: 4800863\n  growth: 8.87\ntop_products:\n- sku: SKU-5649\n  sales: 311811\n- sku: SKU-1879\n  sales: 391924\n- sku: SKU-4665\n  sales: 317392\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from TOML to CSV:\nrx_id = \"RX-5160762\"\npatient_mrn = \"MRN-568012\"\nprescriber = \"Linda Gonzalez\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastati\",MRN-568012,Linda Gonzalez,RX-5160762\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-924347,Claudia Hernandez,RX-3797976\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-672489,Tammy Young,RX-6676978\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-741092,Leslie Young,RX-7163544\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-784812,Martha Douglas,RX-2230263\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nencounter_date = \"2026-01-03\"\nnote_id = \"CN-2646438\"\n\n[patient]\nmrn = \"MRN-771263\"\nage = 41\ngender = \"M\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\ncourse_id = \"CRS-6846\"\ncode = \"YNJ107\"\ntitle = \"Reactive demand-driven matrices 101\"\ninstructor = \"Rachel Mitchell\"\ncredits = 4\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"exactly\"\n\n[[schedule]]\nweek = 2\ntopic = \"shake\"\n\n[[schedule]]\nweek = 3\ntopic = \"leader\"\n\n[[schedule]]\nweek = 4\ntopic = \"need\"\n\n[[schedule]]\nweek = 5\ntopic = \"off\"\n\n[[schedule]]\nweek = 6\ntopic = \"a\"\n\n[[schedule]]\nweek = 7\ntopic = \"smile\"\n\n[[schedule]]\nweek = 8\ntopic = \"act\"\n\n[[schedule]]\nweek = 9\ntopic = \"agree\"\n\n[[schedule]]\nweek = 10\ntopic = \"where\"\n\n[[schedule]]\nweek = 11\ntopic = \"door\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\ncontract_id = \"CTR-123472\"\neffective_date = \"2026-01-06\"\nterm_months = 59\nvalue = 388976\nstatus = \"pending\"\n[[parties]]\nname = \"Palmer-White\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Rodriguez-Moore\"\nrole = \"party_b\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-123472,2026-01-06,\"[{\"\"name\"\": \"\"Palmer-White\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Rodriguez-Moore\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,59,388976\r\nCTR-290000,2026-01-01,\"[{\"\"name\"\": \"\"Blankenship Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson-Lang\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,57,624226\r\nCTR-574121,2026-01-05,\"[{\"\"name\"\": \"\"Shannon, Moore and Brady\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Robertson-Rivera\"\", \"\"role\"\": \"\"part\",active,22,591907\r\nCTR-721711,2026-01-05,\"[{\"\"name\"\": \"\"Weaver, Anderson and Saunders\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lee-Baker\"\", \"\"role\"\": \"\"party_\",active,36,932554\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output social media post as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-59844758\"\ntimestamp = \"2026-01-07T13:51:27.358144\"\nhashtags = [ \"#population\", \"#during\", \"#executive\", \"#house\",]\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.67669</paper_id>\n<title>Triple-buffered dedicated knowledgebase</title>\n<authors>\n<name>Julie Mclaughlin</name>\n<affiliation>Andrews Group</affiliation>\n<email>brianna81@example.org</email>\n</authors>\n<authors>\n<name>Peggy Kramer</name>\n<affiliation>Beasley, Edwards and Webb</affiliation>\n<email>susan35@example.com</email>\n</authors>\n<abstract>Account fish possible democratic ok no. Accept short mention guy.\nPlace finish religious mean end success. Travel into music they.</abstract>\n<keywords>thank</keywords>\n<keywords>far</keywords>\n<keywords>fund</keywords>\n<keywords>get</keywords>\n<keywords>role</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.1349/JgWc</doi>\n</publication>\n<citations>60</citations>\n<funding_source>Diaz-Salinas</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.67669\",\n  \"title\": \"Triple-buffered dedicated knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Julie Mclaughlin\",\n      \"affiliation\": \"Andrews Group\",\n      \"email\": \"brianna81@example.org\"\n    },\n    {\n      \"name\": \"Peggy Kramer\",\n      \"affiliation\": \"Beasley, Edwards and Webb\",\n      \"email\": \"susan35@example.com\"\n    }\n  ],\n  \"abstract\": \"Account fish possible democratic ok no. Accept short mention guy.\\nPlace finish religious mean end success. Travel into music they.\",\n  \"keywords\": [\n    \"thank\",\n    \"far\",\n    \"fund\",\n    \"get\",\n    \"role\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1349/JgWc\"\n  },\n  \"citations\": 60,\n  \"funding_source\": \"Diaz-Salinas\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-125540\"\nname = \"Universal eco-centric approach\"\ncategory = \"books\"\nprice = 208.68\ncurrency = \"USD\"\nstock = 879\nis_available = true\nrating = 4.53\nreviews = 925\n\n[specs]\nweight_kg = 20.35\ndimensions = \"45x91x83cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\nrx_id: RX-5336793\npatient_mrn: MRN-644295\nprescriber: Thomas Ponce\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5336793\",\n  \"patient_mrn\": \"MRN-644295\",\n  \"prescriber\": \"Thomas Ponce\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-7514\",\n  \"code\": \"NOO384\",\n  \"title\": \"Fundamental encompassing database 101\",\n  \"instructor\": \"Lori Martinez\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"bar\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"population\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"thus\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"purpose\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"look\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"remember\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"ahead\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"pass\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-7514</course_id>\n<code>NOO384</code>\n<title>Fundamental encompassing database 101</title>\n<instructor>Lori Martinez</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>bar</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>population</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>thus</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>purpose</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>look</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>remember</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>ahead</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>pass</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-2870757\nheadline: Team-oriented zero tolerance support\nauthor: Russell Ward\npublished: '2026-01-03T10:13:04.270933'\nsection: Sports\ncontent: 'Evening most most. Decide ready yet.\n\n  Enjoy relate enjoy forget degree push above. Page somebody number present understand\n  attorney stuff into. Break artist everybody hour.\n\n  End but explain candidate activity second camera.'\ntags:\n- drop\n- agent\n- computer\n- work\nviews: 25211\nshares: 4223\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Serve student science today general. Tell risk ball quickly technology.\nDrive because generation sup\",203,9394,444,\"[\"\"#conference\"\", \"\"#body\"\"]\",twitter,POST-25055870,2026-01-07T13:51:27.403909,28837af0-4898-41b2-8a38-faf0e2d7f431,khahn\r\n\"Sign perform truth edge own class. Computer data rich together.\nReceive evening hand call bar and. E\",272,2445,407,\"[\"\"#tend\"\", \"\"#student\"\"]\",facebook,POST-51813191,2026-01-07T13:51:27.405218,8c1d506f-9b5c-4790-90ec-c4cb55ee87e8,faustin\r\nNorth officer court behavior others debate develop wide. Wife order former. Them force answer food m,385,4230,896,\"[\"\"#significant\"\", \"\"#exactly\"\"]\",twitter,POST-36572270,2026-01-07T13:51:27.405524,6bd2cf17-b946-415f-9843-a5e448a13853,fweber\r\nVote popular create chair another everybody claim. Just off leader exactly approach off herself.,133,6872,720,\"[\"\"#into\"\", \"\"#leave\"\", \"\"#data\"\"]\",instagram,POST-26238392,2026-01-07T13:51:27.406027,434ccaee-60d2-4fd3-90d6-891341e1a298,michaelcoleman\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7237025</note_id>\n<patient>\n<mrn>MRN-276187</mrn>\n<age>53</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>95/82</bp>\n<hr>103</hr>\n<temp_f>102.9</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-7237025\",\n  \"patient\": {\n    \"mrn\": \"MRN-276187\",\n    \"age\": 53,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"95/82\",\n    \"hr\": 103,\n    \"temp_f\": 102.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-8846154\"\nheadline = \"Phased bifurcated instruction set\"\nauthor = \"Melanie Kennedy\"\npublished = \"2026-01-02T14:27:49.190328\"\nsection = \"Sports\"\ncontent = \"Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\\nIndeed use send represent leader require. Cup attack instead discuss. Plan with character rule.\\nInformation mind company even serve. Experience pattern but certain she design speech.\"\ntags = [ \"memory\", \"score\", \"game\", \"join\",]\nviews = 47684\nshares = 4081\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-956799\"\ntitle = \"Effect of town on start\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 84.98\nendpoint = 18.54\np_value = 0.3765\n\n[[results]]\nmetric = \"safety\"\nbaseline = 50.71\nendpoint = 79.49\np_value = 0.1783\n\n[[results]]\nmetric = \"safety\"\nbaseline = 22.25\nendpoint = 81.5\np_value = 0.0959\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 53.32\nendpoint = 58.41\np_value = 0.1807\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 962\nduration_days = 355\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-605985,Angela Sanchez,RX-9483696\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-928867,Michelle Vasquez,RX-5065939\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-979267,Taylor Turner,RX-1831780\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopri\",MRN-614181,Stephanie Rogers,RX-7500716\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-152487,Ann Dawson,RX-2326665\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-998960\nname: Enhanced asynchronous process improvement\ncategory: books\nprice: 449.06\ncurrency: USD\nstock: 830\nis_available: true\nrating: 2.8\nreviews: 439\nspecs:\n  weight_kg: 4.99\n  dimensions: 51x44x94cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 9864225,\n  \"units_sold\": 74086,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 906832,\n      \"growth\": -8.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2437365,\n      \"growth\": 2.73\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 420063\n    },\n    {\n      \"sku\": \"SKU-9360\",\n      \"sales\": 149398\n    },\n    {\n      \"sku\": \"SKU-9440\",\n      \"sales\": 105905\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/base_get_parameters,paths_/base_get_responses_200_description,paths_/base_get_responses_400_description,paths_/base_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Horizontal interactive project API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Management send father actually special image.,,,,\r\nGame these campaign. Everybody need century present. Write certainly rock drive offer anything.,\"[{\"\"name\"\": \"\"Elizabeth Travis\"\", \"\"affiliation\"\": \"\"Peters-Bell\"\", \"\"email\"\": \"\"bgomez@example.net\"\"}, {\"\"name\"\":\",468,Carr Ltd,,,\"[\"\"rather\"\", \"\"be\"\", \"\"whom\"\", \"\"enter\"\", \"\"data\"\"]\",,arXiv:2020.91324,,,,,10.9988/bkMi,Cell,2022,Cloned eco-centric complexity\r\n\"Color office these direction action.\nLetter through picture which. Create nature leg former.\",\"[{\"\"name\"\": \"\"Micheal Copeland\"\", \"\"affiliation\"\": \"\"Griffin LLC\"\", \"\"email\"\": \"\"dhill@example.com\"\"}, {\"\"name\"\": \",426,None,,,\"[\"\"consider\"\", \"\"beyond\"\", \"\"security\"\", \"\"term\"\", \"\"relate\"\"]\",,arXiv:2023.83336,,,,,10.4969/UEsD,Science,2024,Cross-platform mission-critical toolset\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Horizontal interactive project API\n  version: 1.0.0\npaths:\n  /base:\n    get:\n      summary: Management send father actually special image.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2020.10600\",\n  \"title\": \"Reactive bi-directional middleware\",\n  \"authors\": [\n    {\n      \"name\": \"Sarah Rose\",\n      \"affiliation\": \"Martin, Taylor and Mills\",\n      \"email\": \"adrianporter@example.com\"\n    },\n    {\n      \"name\": \"Samantha Garcia\",\n      \"affiliation\": \"Santiago LLC\",\n      \"email\": \"cbrewer@example.net\"\n    }\n  ],\n  \"abstract\": \"Carry prove certain tell event break. Thus not actually teacher girl perhaps.\",\n  \"keywords\": [\n    \"public\",\n    \"stock\",\n    \"student\",\n    \"hair\",\n    \"hard\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.6112/KodW\"\n  },\n  \"citations\": 273,\n  \"funding_source\": \"Salazar, Mullen and Johnson\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.10600</paper_id>\n<title>Reactive bi-directional middleware</title>\n<authors>\n<name>Sarah Rose</name>\n<affiliation>Martin, Taylor and Mills</affiliation>\n<email>adrianporter@example.com</email>\n</authors>\n<authors>\n<name>Samantha Garcia</name>\n<affiliation>Santiago LLC</affiliation>\n<email>cbrewer@example.net</email>\n</authors>\n<abstract>Carry prove certain tell event break. Thus not actually teacher girl perhaps.</abstract>\n<keywords>public</keywords>\n<keywords>stock</keywords>\n<keywords>student</keywords>\n<keywords>hair</keywords>\n<keywords>hard</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.6112/KodW</doi>\n</publication>\n<citations>273</citations>\n<funding_source>Salazar, Mullen and Johnson</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-8348908\",\n  \"patient\": {\n    \"mrn\": \"MRN-109351\",\n    \"age\": 84,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"157/81\",\n    \"hr\": 101,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K69\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J80\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastati\",MRN-741538,John Cook,RX-6885629\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvast\",MRN-171495,Lauren French,RX-9982935\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-848360,Patrick Gutierrez,RX-2710259\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-320817,Daniel Hunt,RX-3410176\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1972\ncode: ZZC321\ntitle: Horizontal intermediate Graphical User Interface 101\ninstructor: Danielle Parsons\ncredits: 4\nterm: Spring 2020\nschedule:\n- week: 1\n  topic: Republican\n- week: 2\n  topic: beat\n- week: 3\n  topic: garden\n- week: 4\n  topic: interest\n- week: 5\n  topic: some\n- week: 6\n  topic: account\n- week: 7\n  topic: court\n- week: 8\n  topic: lose\n- week: 9\n  topic: foreign\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>91d16731-5e7b-4a47-8285-7a54d79d3b76</error_id>\n<timestamp>2026-01-07T13:51:25.635487</timestamp>\n<level>WARNING</level>\n<service>AmericanService</service>\n<message>Drug sell certainly major total.</message>\n<stack_trace>at although.py:151</stack_trace>\n<stack_trace>at mission.py:443</stack_trace>\n<context>\n<user_id>11d85442-7276-4e30-9249-06df8089bd39</user_id>\n<request_id>f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"91d16731-5e7b-4a47-8285-7a54d79d3b76\",\n  \"timestamp\": \"2026-01-07T13:51:25.635487\",\n  \"level\": \"WARNING\",\n  \"service\": \"AmericanService\",\n  \"message\": \"Drug sell certainly major total.\",\n  \"stack_trace\": [\n    \"at although.py:151\",\n    \"at mission.py:443\"\n  ],\n  \"context\": {\n    \"user_id\": \"11d85442-7276-4e30-9249-06df8089bd39\",\n    \"request_id\": \"f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,f4cb6737-30c9-41ef-814b-34c3ec971deb,c92bcb8f-c109-47f8-aa13-b43737a1fc38,92d36993-19b1-4c19-9b64-8b4669c6636f,,,WARNING,Analysis beautiful attack blue eye.,,,,,voiceService,\"[\"\"at well.py:163\"\", \"\"at will.py:421\"\", \"\"at run.py:384\"\", \"\"at TV.py:103\"\"]\",2026-01-07T13:51:27.222487,\r\nPretty lot mission that could model almost. Note material admit which. Citizen able tonight water.,\"[{\"\"name\"\": \"\"Kathleen Carter\"\", \"\"affiliation\"\": \"\"Stevens, Thomas and Frost\"\", \"\"email\"\": \"\"xgomez@example.or\",251,,,,None,\"[\"\"forward\"\", \"\"each\"\", \"\"attack\"\", \"\"stage\"\"]\",,,arXiv:2023.12601,10.6819/NFFB,Cell,2022,,,,Stand-alone bi-directional challenge\r\n\"Yes oil effect meeting cup.\nBecome would increase morning off field. Start station since benefit dow\",\"[{\"\"name\"\": \"\"Jennifer Hall\"\", \"\"affiliation\"\": \"\"Faulkner PLC\"\", \"\"email\"\": \"\"jfisher@example.org\"\"}, {\"\"name\"\": \",475,,,,None,\"[\"\"good\"\", \"\"section\"\", \"\"pick\"\"]\",,,arXiv:2020.73807,10.2239/WxRd,Cell,2022,,,,Profound scalable methodology\r\nPersonal none foot worry tough modern toward. Free find wall official top sure history.,\"[{\"\"name\"\": \"\"Sandra Martin\"\", \"\"affiliation\"\": \"\"Bailey, Rice and Hanson\"\", \"\"email\"\": \"\"hernandeztammy@exampl\",434,,,,Williamson and Sons,\"[\"\"senior\"\", \"\"character\"\", \"\"listen\"\", \"\"argue\"\", \"\"full\"\"]\",,,arXiv:2022.64046,10.5789/vzEC,Nature,2021,,,,Digitized local emulation\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-4278484\"\npatient_mrn = \"MRN-990980\"\nprescriber = \"Andrew Kelly\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate clinical note data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4036732</note_id>\n<patient>\n<mrn>MRN-366942</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>102/96</bp>\n<hr>61</hr>\n<temp_f>97.1</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K52</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nStay one mission different agree option. Research discuss gas door which. Maybe likely east authorit,156,3924,978,\"[\"\"#crime\"\", \"\"#president\"\", \"\"#tell\"\", \"\"#over\"\"]\",,POST-69406873,2026-01-06T09:43:30.054799,,\r\n\"Public dinner meet within key positive rich. Eat foreign argue attention pull maintain.\nPhysical rem\",319,8460,275,\"[\"\"#job\"\", \"\"#serve\"\", \"\"#in\"\"]\",facebook,POST-84583227,2026-01-06T09:43:30.057702,8aff10c1-313b-4715-af22-ee7b0ce7a781,andrewatkins\r\nBest add important him professional responsibility. Physical them audience region group. Although ad,439,9245,657,\"[\"\"#mission\"\", \"\"#bag\"\"]\",twitter,POST-84093677,2026-01-06T09:43:30.058475,e9939e21-d147-422a-b2cf-ce2a140ec0ca,pamelataylor\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate customer review data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9546377</review_id>\n<product_id>PROD-108034</product_id>\n<user_id>d01ac4e1-ccd9-4273-9fe0-9ca6afc6af77</user_id>\n<rating>4</rating>\n<title>Appear speak sure list.</title>\n<content>Today offer none role certain reach. Second Mr official enjoy movement turn city. Name employee early much first sit.</content>\n<date>2026-01-01</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>43</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 1c9ddb56-48a8-4024-83f0-b1655ee34b79\ntimestamp: '2026-01-06T09:43:33.261999'\nlevel: CRITICAL\nservice: missionService\nmessage: But make east able action despite suffer.\nstack_trace:\n- at deep.py:24\n- at describe.py:177\ncontext:\n  user_id: 9ac80fc0-95c0-4e18-9be2-7501f415b040\n  request_id: 50cec570-d7fa-455c-8136-9e517d807732\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Recent cause family writer. Old less control he woman. Coach quickly will.\nRelationship same against\",,2026-01-06,37,,,,PROD-300785,5,REV-1274071,,,,,Follow large high gas clear drug pretty else.,c183a72e-4d6f-40ac-92b0-2d1073039571,True\r\nelectronics,,USD,,,True,Extended analyzing approach,503.58,PROD-420019,2.78,,526,15x70x77cm,3.76,348,,,\r\nclothing,,USD,,,True,Profit-focused discrete hub,410.14,PROD-373450,2.47,,739,47x90x88cm,9.42,750,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-60159725\ncustomer_id: 13707a49-23b0-4133-8216-7e83986c9575\ntimestamp: '2026-01-07T13:51:27.689251'\nitems:\n- sku: SKU-82899\n  qty: 5\n  price: 298.29\n- sku: SKU-51515\n  qty: 4\n  price: 343.78\n- sku: SKU-53336\n  qty: 3\n  price: 488.21\n- sku: SKU-52517\n  qty: 2\n  price: 291.79\nsubtotal: 1914.1\ntax: 175.88\ntotal: 1360.6\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output error log as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"e01a43f8-d4eb-4ec7-a325-ad2b31726d0f\"\ntimestamp = \"2026-01-07T13:51:25.462522\"\nlevel = \"ERROR\"\nservice = \"winService\"\nmessage = \"Western energy project push building.\"\nstack_trace = [ \"at could.py:42\", \"at seem.py:198\",]\n\n[context]\nuser_id = \"7197800d-0acd-4eee-b9ab-24b5158dfa0a\"\nrequest_id = \"00c4c00d-dc22-4013-8495-1ed2381fc937\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-791864\nname: Decentralized heuristic migration\ncategory: books\nprice: 124.58\ncurrency: USD\nstock: 601\nis_available: true\nrating: 3.59\nreviews: 538\nspecs:\n  weight_kg: 9.83\n  dimensions: 30x16x25cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"engagement\": {\n    \"likes\": 6676,\n    \"shares\": 196,\n    \"comments\": 84\n  },\n  \"username\": \"nicholasalvarez\",\n  \"post_id\": \"POST-61351209\",\n  \"hashtags\": [\n    \"#pretty\",\n    \"#admit\",\n    \"#available\"\n  ],\n  \"user_id\": \"5e546096-8461-4a3f-84e6-813e9e89a39c\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n,84,6676,196,\"[\"\"#pretty\"\", \"\"#admit\"\", \"\"#available\"\"]\",,POST-61351209,,5e546096-8461-4a3f-84e6-813e9e89a39c,nicholasalvarez\r\nWill us us than appear already support show. Party do me letter fear indicate laugh. Entire the popu,293,4376,211,\"[\"\"#believe\"\", \"\"#eat\"\", \"\"#now\"\", \"\"#involve\"\"]\",twitter,POST-42574742,2026-01-07T13:51:25.764150,27867752-3d60-4beb-aa57-5e9ed4ccd000,fisherfernando\r\n\"Organization yard soon successful magazine reality. Cold theory kind your.\nEnergy sign economy give \",114,8367,3,\"[\"\"#into\"\", \"\"#option\"\", \"\"#close\"\", \"\"#change\"\"]\",instagram,POST-92598628,2026-01-07T13:51:25.764537,8d17fc4e-8edc-40d6-ad43-e1f83340c0af,petersonpaige\r\nSection him market church. Mention side cup idea. Go sister remember democratic bring baby street wh,142,1136,710,\"[\"\"#people\"\", \"\"#create\"\"]\",facebook,POST-35481834,2026-01-07T13:51:25.764968,3eb99507-02d2-4a9a-a8e2-3009626c1e56,khamilton\r\n\"Traditional society explain lead ok college west discuss. Board away focus miss would wait.\nWho rema\",360,6672,383,\"[\"\"#sea\"\", \"\"#five\"\", \"\"#green\"\", \"\"#commercial\"\"]\",twitter,POST-11450613,2026-01-07T13:51:25.765247,fd310ddd-8350-493d-b20a-f8ba5f8fd4bc,courtney14\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nreviews: 730\ncategory: books\nstock: 824\nis_available: true\nspecs:\n  weight_kg: 7.36\n  dimensions: 46x21x76cm\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from YAML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreviews = 730\ncategory = \"books\"\nstock = 824\nis_available = true\n\n[specs]\nweight_kg = 7.36\ndimensions = \"46x21x76cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nperiod = \"February 2020\"\ntotal_revenue = 2337421\nunits_sold = 23839\n[[channels]]\nname = \"retail\"\nrevenue = 3840938\ngrowth = 18.52\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1512471\ngrowth = 13.02\n\n[[top_products]]\nsku = \"SKU-1744\"\nsales = 276633\n\n[[top_products]]\nsku = \"SKU-5145\"\nsales = 26445\n\n[[top_products]]\nsku = \"SKU-9218\"\nsales = 412054\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 2337421\nunits_sold: 23839\nchannels:\n- name: retail\n  revenue: 3840938\n  growth: 18.52\n- name: wholesale\n  revenue: 1512471\n  growth: 13.02\ntop_products:\n- sku: SKU-1744\n  sales: 276633\n- sku: SKU-5145\n  sales: 26445\n- sku: SKU-9218\n  sales: 412054\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9279</course_id>\n<code>WQT213</code>\n<title>Ameliorated 3rdgeneration groupware 101</title>\n<instructor>Mariah Wilson</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>together</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>statement</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>these</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>American</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>read</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>age</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>course</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-3337\ncode: SMX114\ntitle: Programmable bi-directional orchestration 101\ninstructor: Timothy Lopez\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: company\n- week: 2\n  topic: community\n- week: 3\n  topic: argue\n- week: 4\n  topic: music\n- week: 5\n  topic: question\n- week: 6\n  topic: evening\n- week: 7\n  topic: that\n- week: 8\n  topic: word\n- week: 9\n  topic: purpose\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"company\": \"Leon-Lewis\",\n  \"ticker\": \"FGCI\",\n  \"quarter\": \"Q4 2022\",\n  \"revenue\": 56885685,\n  \"expenses\": 46362888,\n  \"net_income\": 14538939,\n  \"eps\": 7.9,\n  \"metrics\": {\n    \"profit_margin\": 25.04,\n    \"roe\": 5.27\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Leon-Lewis\nticker: FGCI\nquarter: Q4 2022\nrevenue: 56885685\nexpenses: 46362888\nnet_income: 14538939\neps: 7.9\nmetrics:\n  profit_margin: 25.04\n  roe: 5.27\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.66116</paper_id>\n<title>Quality-focused grid-enabled service-desk</title>\n<authors>\n<name>David Cohen</name>\n<affiliation>Lopez and Sons</affiliation>\n<email>mark98@example.com</email>\n</authors>\n<authors>\n<name>Ashley Spencer</name>\n<affiliation>Hood Ltd</affiliation>\n<email>pbailey@example.org</email>\n</authors>\n<authors>\n<name>Robin Lynch</name>\n<affiliation>Camacho, Nelson and Perez</affiliation>\n<email>samantha44@example.net</email>\n</authors>\n<abstract>Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.</abstract>\n<keywords>rather</keywords>\n<keywords>hair</keywords>\n<keywords>attorney</keywords>\n<keywords>chance</keywords>\n<keywords>bring</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2020</year>\n<doi>10.7468/EeJM</doi>\n</publication>\n<citations>174</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4315709\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I12\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K62\"\n\n[patient]\nmrn = \"MRN-534874\"\nage = 89\ngender = \"M\"\n\n[vitals]\nbp = \"165/61\"\nhr = 112\ntemp_f = 99.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nnote_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", "content": "Approach:\n1. Task: Convert clinical note from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-4036732\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K52\"\n\n[patient]\nmrn = \"MRN-366942\"\nage = 79\ngender = \"M\"\n\n[vitals]\nbp = \"102/96\"\nhr = 61\ntemp_f = 97.1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grade,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title,total_score\r\n,CRS-4519,,A,,,,,,,,75\r\nOKW118,CRS-9763,3,,40,30,30,Taylor Cannon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bank\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"service\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"since\"\"}, {\"\"wee\",Spring 2022,Team-oriented contextually-based software 101,\r\nHXY139,CRS-5032,4,,40,30,30,Andrew Stewart,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"like\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"explain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"edge\"\"}, {\"\"week\",Spring 2023,Reactive systematic middleware 101,\r\nDFQ441,CRS-3279,3,,40,30,30,Michael Sanders,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"yard\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"any\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"major\"\"}, {\"\"week\"\": \",Fall 2022,Multi-tiered dynamic middleware 101,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from TOML to CSV:\nassessment_id = \"ASMT-852879\"\nstudent_id = \"STU-517758\"\ncourse_id = \"CRS-9070\"\ntype = \"exam\"\ndate = \"2026-01-04\"\ntotal_score = 58\npercentage = 53.23\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 8\npoints_possible = 10\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from TOML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-852879,,CRS-9070,,2026-01-04,C,,,,,53.23,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 4, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-517758,,,58,exam\r\n,CRS361,CRS-9357,4,,,40,30,30,Patricia Jones,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"buy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"meet\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"all\"\"}, {\"\"week\"\": 4,\",,,Spring 2024,Future-proofed scalable encoding 101,,\r\n,KBN252,CRS-9929,4,,,40,30,30,Corey Rodgers,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"day\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"short\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"price\"\"}, {\"\"week\"\":\",,,Fall 2023,Customizable system-worthy matrix 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.51326\"\ntitle = \"Operative composite product\"\nabstract = \"Side grow week event. Long city consider son series.\\nWell suddenly cover suffer fly. Peace improve thing.\"\nkeywords = [ \"pretty\", \"option\", \"lose\",]\ncitations = 251\n[[authors]]\nname = \"Martin Walsh\"\naffiliation = \"Campbell-Mayo\"\nemail = \"xreid@example.org\"\n\n[[authors]]\nname = \"Tracy Gutierrez\"\naffiliation = \"Ho PLC\"\nemail = \"kayleecrosby@example.org\"\n\n[[authors]]\nname = \"Melinda Hardy\"\naffiliation = \"Clark, Shepherd and Jenkins\"\nemail = \"phillip52@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.8879/kBOz\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Organic demand-driven installation,698.66,PROD-942707,4.45,103,66x30x83cm,32.63,819\r\nelectronics,USD,True,Triple-buffered optimizing middleware,638.56,PROD-568809,4.06,709,41x42x14cm,25.98,815\r\nclothing,USD,True,Expanded next generation frame,775.55,PROD-749642,4.97,651,52x29x67cm,35.66,747\r\nbooks,USD,True,Public-key high-level encryption,819.66,PROD-561106,2.36,830,17x96x40cm,32.31,642\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-766531\"\nstudent_id = \"STU-146206\"\ncourse_id = \"CRS-4639\"\ntype = \"exam\"\ndate = \"2026-01-02\"\ntotal_score = 80\npercentage = 72.02\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5754690</note_id>\n<patient>\n<mrn>MRN-521303</mrn>\n<age>32</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>101/104</bp>\n<hr>85</hr>\n<temp_f>99.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K80</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-5754690\",\n  \"patient\": {\n    \"mrn\": \"MRN-521303\",\n    \"age\": 32,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"101/104\",\n    \"hr\": 85,\n    \"temp_f\": 99.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K80\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-370819</contract_id>\n<parties>\n<name>Stewart, Thompson and Rogers</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Jackson, Griffin and Flowers</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>13</term_months>\n<value>109351</value>\n<status>active</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-370819\",\n  \"parties\": [\n    {\n      \"name\": \"Stewart, Thompson and Rogers\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Jackson, Griffin and Flowers\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 13,\n  \"value\": 109351,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,eps,expenses,funding_source,keywords,net_income,paper_id,publication_doi,publication_venue,publication_year,quarter,revenue,title\r\n,,,5.75,65628233,,,6367407,,,,,Q2 2023,73745517,\r\nStructure find which even. Finally new free. Represent exist ask increase million nation.,\"[{\"\"name\"\": \"\"Tanya Roberson\"\", \"\"affiliation\"\": \"\"Chan-Scott\"\", \"\"email\"\": \"\"wangrebecca@example.net\"\"}, {\"\"name\",174,,,None,\"[\"\"lead\"\", \"\"director\"\", \"\"suddenly\"\", \"\"north\"\", \"\"part\"\"]\",,arXiv:2020.98196,10.1216/ivve,Cell,2024,,,Organic optimal pricing structure\r\nBenefit trouble model area market east prove occur. Thought blue customer direction. Bill month mate,\"[{\"\"name\"\": \"\"Sarah Fuller\"\", \"\"affiliation\"\": \"\"Cortez Ltd\"\", \"\"email\"\": \"\"jhernandez@example.org\"\"}, {\"\"name\"\": \",393,,,None,\"[\"\"support\"\", \"\"author\"\", \"\"sort\"\", \"\"hard\"\", \"\"thing\"\"]\",,arXiv:2024.10922,10.7913/AhjL,Cell,2021,,,Advanced regional budgetary management\r\nAround give other state. Rest read reach serious situation prepare factor.,\"[{\"\"name\"\": \"\"William Scott\"\", \"\"affiliation\"\": \"\"Ortiz-Davis\"\", \"\"email\"\": \"\"glenn04@example.com\"\"}, {\"\"name\"\": \"\"\",183,,,None,\"[\"\"involve\"\", \"\"senior\"\", \"\"market\"\", \"\"also\"\"]\",,arXiv:2023.38721,10.6372/IKNo,Nature,2020,,,Implemented coherent Local Area Network\r\nComputer down career democratic. Reason radio current really. Get design various growth guess stuff ,\"[{\"\"name\"\": \"\"Nathan Collins\"\", \"\"affiliation\"\": \"\"Anderson Ltd\"\", \"\"email\"\": \"\"monica92@example.org\"\"}, {\"\"name\"\"\",441,,,None,\"[\"\"model\"\", \"\"game\"\", \"\"figure\"\"]\",,arXiv:2023.30305,10.6939/vfwD,Science,2020,,,Fully-configurable disintermediate conglomeration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8246470</rx_id>\n<patient_mrn>MRN-256913</patient_mrn>\n<prescriber>Victor Valentine</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-8246470\",\n  \"patient_mrn\": \"MRN-256913\",\n  \"prescriber\": \"Victor Valentine\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-61935008\"\nplatform = \"instagram\"\nuser_id = \"ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\"\nusername = \"halezachary\"\ncontent = \"Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.\"\ntimestamp = \"2026-01-07T13:51:25.597395\"\nhashtags = [ \"#box\", \"#speak\", \"#reason\",]\n\n[engagement]\nlikes = 4027\nshares = 604\ncomments = 194\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-619223</contract_id>\n<parties>\n<name>Mcdaniel LLC</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Hunt-Bowman</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-03</effective_date>\n<term_months>21</term_months>\n<value>87478</value>\n<status>pending</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-48552675\",\n  \"customer_id\": \"19d3d880-f410-4b85-a35d-9c5777705d1f\",\n  \"timestamp\": \"2026-01-07T13:51:26.837603\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-30306\",\n      \"qty\": 4,\n      \"price\": 206.74\n    }\n  ],\n  \"subtotal\": 1354.26,\n  \"tax\": 33.08,\n  \"total\": 766.28,\n  \"payment_method\": \"paypal\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-48552675</txn_id>\n<customer_id>19d3d880-f410-4b85-a35d-9c5777705d1f</customer_id>\n<timestamp>2026-01-07T13:51:26.837603</timestamp>\n<items>\n<sku>SKU-30306</sku>\n<qty>4</qty>\n<price>206.74</price>\n</items>\n<subtotal>1354.26</subtotal>\n<tax>33.08</tax>\n<total>766.28</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3337\"\ncode = \"SMX114\"\ntitle = \"Programmable bi-directional orchestration 101\"\ninstructor = \"Timothy Lopez\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"company\"\n\n[[schedule]]\nweek = 2\ntopic = \"community\"\n\n[[schedule]]\nweek = 3\ntopic = \"argue\"\n\n[[schedule]]\nweek = 4\ntopic = \"music\"\n\n[[schedule]]\nweek = 5\ntopic = \"question\"\n\n[[schedule]]\nweek = 6\ntopic = \"evening\"\n\n[[schedule]]\nweek = 7\ntopic = \"that\"\n\n[[schedule]]\nweek = 8\ntopic = \"word\"\n\n[[schedule]]\nweek = 9\ntopic = \"purpose\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-577861,,CRS-8099,,2026-01-06,B,,,,,81.98,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-664280,,,52,exam\r\n,WOG419,CRS-1321,3,,,40,30,30,Michael Williams,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"sell\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"social\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"difficult\"\"}, {\"\"\",,,Fall 2024,Triple-buffered zero-defect paradigm 101,,\r\n,KPR218,CRS-1943,3,,,40,30,30,Darrell Stout,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"administration\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"know\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"every\"\"}\",,,Fall 2020,Focused intangible conglomeration 101,,\r\n,NXT235,CRS-7230,4,,,40,30,30,Margaret Baird,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"lay\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"population\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"wait\"\"}, {\"\"we\",,,Fall 2020,Balanced asymmetric attitude 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Front-line scalable hub API\"\nversion = \"1.0.0\"\n\n[paths.\"/nation\".get]\nsummary = \"List level decade consumer go.\"\n[[paths.\"/nation\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/nation\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/nation\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/nation\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-2388619\nheadline: Switchable tertiary collaboration\nauthor: Paula Martinez\npublished: '2026-01-07T02:15:35.006278'\nsection: Politics\ncontent: 'Choice list strong let reason. Education class ok front impact successful.\n  Huge professor happen data image stop. Notice movie reduce everyone among ask already\n  company.\n\n  Door president he always capital.\n\n  Black democratic heart read name. Professional billion prepare executive meeting\n  sport.'\ntags:\n- hair\n- democratic\n- financial\n- huge\n- available\nviews: 74003\nshares: 1794\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K99\"\"}]\",chest pain,2026-01-02,CN-9595817,32,F,MRN-972408,102/103,113,102.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J69\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J29\"\"}]\",fever,2026-01-02,CN-4219593,77,M,MRN-157175,141/89,118,102.9\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K83\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I98\"\"}, {\"\"problem\"\": \"\"hype\",headache,2026-01-04,CN-8116673,64,F,MRN-988441,122/63,93,97.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"company\": \"Brooks LLC\",\n  \"ticker\": \"HFOB\",\n  \"quarter\": \"Q1 2020\",\n  \"revenue\": 30917299,\n  \"expenses\": 61265128,\n  \"net_income\": 10426094,\n  \"eps\": 3.56,\n  \"metrics\": {\n    \"profit_margin\": 26.89,\n    \"roe\": 20.49\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Brooks LLC</company>\n<ticker>HFOB</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>30917299</revenue>\n<expenses>61265128</expenses>\n<net_income>10426094</net_income>\n<eps>3.56</eps>\n<metrics>\n<profit_margin>26.89</profit_margin>\n<roe>20.49</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-38439045\",\n  \"customer_id\": \"39de4165-2950-403a-b7cf-252ec7bafdcc\",\n  \"timestamp\": \"2026-01-07T13:51:25.757679\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-68017\",\n      \"qty\": 5,\n      \"price\": 287.63\n    },\n    {\n      \"sku\": \"SKU-13598\",\n      \"qty\": 1,\n      \"price\": 397.9\n    },\n    {\n      \"sku\": \"SKU-25253\",\n      \"qty\": 4,\n      \"price\": 226.78\n    },\n    {\n      \"sku\": \"SKU-92380\",\n      \"qty\": 1,\n      \"price\": 318.47\n    }\n  ],\n  \"subtotal\": 964.6,\n  \"tax\": 142.48,\n  \"total\": 1270.74,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need financial report details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Sharp, Conway and Roman\nticker: UXUV\nquarter: Q3 2020\nrevenue: 17029252\nexpenses: 24503165\nnet_income: 961133\neps: 8.6\nmetrics:\n  profit_margin: 15.72\n  roe: 12.42\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nLocal civil call hear information. Medical practice bank include.,\"[{\"\"name\"\": \"\"Alexandra Orr\"\", \"\"affiliation\"\": \"\"Douglas LLC\"\", \"\"email\"\": \"\"amandaesparza@example.net\"\"}, {\"\"na\",278,None,\"[\"\"feel\"\", \"\"question\"\", \"\"each\"\", \"\"near\"\"]\",arXiv:2021.54593,10.1833/TUoS,Cell,2021,Front-line web-enabled moderator\r\nHeart class result. Western vote Mrs also paper. Far must almost one half.,\"[{\"\"name\"\": \"\"Maureen Sanchez\"\", \"\"affiliation\"\": \"\"Gamble, Hall and Delgado\"\", \"\"email\"\": \"\"normandawn@example\",40,\"Randall, Thomas and Wright\",\"[\"\"white\"\", \"\"miss\"\", \"\"student\"\", \"\"structure\"\"]\",arXiv:2021.14448,10.9340/UQNy,Science,2020,Synergistic methodical neural-net\r\nFirm whole provide matter decision. Wrong participant vote than much ok.,\"[{\"\"name\"\": \"\"Monica Luna\"\", \"\"affiliation\"\": \"\"Ponce PLC\"\", \"\"email\"\": \"\"fjones@example.com\"\"}, {\"\"name\"\": \"\"Kevin\",385,None,\"[\"\"quickly\"\", \"\"which\"\", \"\"should\"\", \"\"seem\"\"]\",arXiv:2022.75736,10.6601/lQca,Cell,2020,Extended hybrid concept\r\n\"Account else pull Republican carry country fear. In start happy loss pay service.\nFear hope edge tot\",\"[{\"\"name\"\": \"\"Catherine Martinez\"\", \"\"affiliation\"\": \"\"Sutton-Lawson\"\", \"\"email\"\": \"\"matthew84@example.com\"\"}, {\",136,None,\"[\"\"plant\"\", \"\"respond\"\", \"\"view\"\", \"\"sound\"\"]\",arXiv:2021.23606,10.4584/qckM,Cell,2023,Seamless modular system engine\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-6036951\",\n  \"patient_mrn\": \"MRN-440463\",\n  \"prescriber\": \"Lisa Mathews\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-6036951</rx_id>\n<patient_mrn>MRN-440463</patient_mrn>\n<prescriber>Lisa Mathews</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: July 2020\ntotal_revenue: 4572735\nunits_sold: 82296\nchannels:\n- name: retail\n  revenue: 3582206\n  growth: 43.17\n- name: online\n  revenue: 368832\n  growth: 6.46\ntop_products:\n- sku: SKU-5026\n  sales: 162295\n- sku: SKU-8773\n  sales: 217699\n- sku: SKU-7902\n  sales: 395870\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>c6e14566-270a-4a5f-a250-5239ca9174ac</error_id>\n<timestamp>2026-01-07T13:51:26.338486</timestamp>\n<level>ERROR</level>\n<service>humanService</service>\n<message>Fear she east talk better central.</message>\n<stack_trace>at college.py:218</stack_trace>\n<stack_trace>at economy.py:209</stack_trace>\n<stack_trace>at let.py:252</stack_trace>\n<stack_trace>at whole.py:18</stack_trace>\n<context>\n<user_id>bda2bdb3-cc4e-4711-8927-aa42dc72d462</user_id>\n<request_id>c7d51186-07ee-4743-a193-c5688ac0d6c5</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"c6e14566-270a-4a5f-a250-5239ca9174ac\",\n  \"timestamp\": \"2026-01-07T13:51:26.338486\",\n  \"level\": \"ERROR\",\n  \"service\": \"humanService\",\n  \"message\": \"Fear she east talk better central.\",\n  \"stack_trace\": [\n    \"at college.py:218\",\n    \"at economy.py:209\",\n    \"at let.py:252\",\n    \"at whole.py:18\"\n  ],\n  \"context\": {\n    \"user_id\": \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\",\n    \"request_id\": \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-784600,2026-01-06,\"[{\"\"name\"\": \"\"Snyder-Thornton\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Oliver Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,16,53888\r\nCTR-362699,2026-01-03,\"[{\"\"name\"\": \"\"Griffith-Francis\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Carter Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,36,172336\r\nCTR-792296,2026-01-06,\"[{\"\"name\"\": \"\"Stewart-Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hicks-Smith\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,20,187054\r\nCTR-975508,2026-01-03,\"[{\"\"name\"\": \"\"Smith-Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Small, Holden and Choi\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,49,95085\r\nCTR-109779,2026-01-04,\"[{\"\"name\"\": \"\"Barnes, Ochoa and Reyes\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Garrett and Sons\"\", \"\"role\"\": \"\"party\",active,58,398292\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\n,USD,True,Networked executive capability,,PROD-469887,,612,,,\r\nbooks,USD,True,Synergistic 24hour productivity,280.91,PROD-821342,4.59,168,78x24x23cm,33.22,123\r\nelectronics,USD,True,De-engineered bi-directional interface,908.21,PROD-757218,4.02,869,54x40x30cm,38.43,217\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-5796495\npatient_mrn: MRN-496025\norder_date: '2026-01-06'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 74.9\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 68.3\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 121.2\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 142.6\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"January 2021\"\ntotal_revenue = 6040623\nunits_sold = 51823\n[[channels]]\nname = \"wholesale\"\nrevenue = 200782\ngrowth = 1.63\n\n[[channels]]\nname = \"online\"\nrevenue = 213718\ngrowth = 33.09\n\n[[top_products]]\nsku = \"SKU-1534\"\nsales = 243040\n\n[[top_products]]\nsku = \"SKU-6600\"\nsales = 290674\n\n[[top_products]]\nsku = \"SKU-8709\"\nsales = 44589\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"article_id\": \"ART-8846154\",\n  \"headline\": \"Phased bifurcated instruction set\",\n  \"author\": \"Melanie Kennedy\",\n  \"published\": \"2026-01-02T14:27:49.190328\",\n  \"section\": \"Sports\",\n  \"content\": \"Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\\nIndeed use send represent leader require. Cup attack instead discuss. Plan with character rule.\\nInformation mind company even serve. Experience pattern but certain she design speech.\",\n  \"tags\": [\n    \"memory\",\n    \"score\",\n    \"game\",\n    \"join\"\n  ],\n  \"views\": 47684,\n  \"shares\": 4081\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8846154</article_id>\n<headline>Phased bifurcated instruction set</headline>\n<author>Melanie Kennedy</author>\n<published>2026-01-02T14:27:49.190328</published>\n<section>Sports</section>\n<content>Edge wear coach whether dog sell respond. Claim feeling meeting somebody four real.\nIndeed use send represent leader require. Cup attack instead discuss. Plan with character rule.\nInformation mind company even serve. Experience pattern but certain she design speech.</content>\n<tags>memory</tags>\n<tags>score</tags>\n<tags>game</tags>\n<tags>join</tags>\n<views>47684</views>\n<shares>4081</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I12\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K62\"\"}]\",chest pain,2026-01-02,CN-4315709,89,M,MRN-534874,165/61,112,99.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J39\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K19\"\"}]\",headache,2026-01-02,CN-9175166,77,F,MRN-849686,118/64,86,101.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K77\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J61\"\"}]\",fever,2026-01-03,CN-4266501,18,M,MRN-721513,124/95,119,101.3\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id: CN-4315709\npatient:\n  mrn: MRN-534874\n  age: 89\n  gender: M\nencounter_date: '2026-01-02'\nchief_complaint: chest pain\nvitals:\n  bp: 165/61\n  hr: 112\n  temp_f: 99.4\nassessment:\n- problem: diabetes\n  icd10: I12\n- problem: diabetes\n  icd10: K62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Distributed high-level website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/next\": {\n      \"get\": {\n        \"summary\": \"Movie my movie common adult.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Distributed high-level website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</next>\n<get>\n<summary>Movie my movie common adult.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//next>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-597223</product_id>\n<name>Proactive tertiary database</name>\n<category>books</category>\n<price>435.77</price>\n<currency>USD</currency>\n<stock>111</stock>\n<is_available>True</is_available>\n<rating>1.73</rating>\n<reviews>539</reviews>\n<specs>\n<weight_kg>19.61</weight_kg>\n<dimensions>87x91x85cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nresult_id: LAB-5956795\npatient_mrn: MRN-953048\norder_date: '2026-01-05'\npanel: CBC\nresults:\n- test: Glucose\n  value: 138.6\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 69.4\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 89.7\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 191.9\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 169.5\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 187.7\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 120.0\n  unit: mg/dL\n  flag: high\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5956795</result_id>\n<patient_mrn>MRN-953048</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>138.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>69.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>89.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>169.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>187.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ],\n  \"patient_mrn\": \"MRN-588828\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need social media post details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nusername: melanie17\nhashtags:\n- '#price'\n- '#black'\ncontent: 'Western admit former research lose. Product rich example reflect sort green.\n  Store sure democratic wall later assume. Attack onto leg view.\n\n  Class fear last north accept wrong.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</sense>\n<get>\n<summary>Pay yes agree executive year ahead program.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sense>\n</paths>\n<info>\n<title>Customer-focused zero-defect array API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/sense\": {\n      \"get\": {\n        \"summary\": \"Pay yes agree executive year ahead program.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Customer-focused zero-defect array API\",\n    \"version\": \"1.0.0\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Sanchez and French</company>\n<ticker>TOPI</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>30596216</revenue>\n<expenses>79425858</expenses>\n<net_income>10739155</net_income>\n<eps>9.27</eps>\n<metrics>\n<profit_margin>21.79</profit_margin>\n<roe>22.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-18209344\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"8880ae5d-22ce-466e-ac5d-224201417b5e\",\n  \"username\": \"xmcbride\",\n  \"content\": \"Determine live compare center as direction. Eye experience low wear. If south level.\\nWorry expect style camera. Scene majority pay voice television professor.\",\n  \"timestamp\": \"2026-01-07T13:51:27.602464\",\n  \"hashtags\": [\n    \"#culture\",\n    \"#whole\",\n    \"#central\"\n  ],\n  \"engagement\": {\n    \"likes\": 2214,\n    \"shares\": 878,\n    \"comments\": 146\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-7237025</note_id>\n<patient>\n<mrn>MRN-276187</mrn>\n<age>53</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>95/82</bp>\n<hr>103</hr>\n<temp_f>102.9</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-6885629\",\n  \"prescriber\": \"John Cook\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ],\n  \"date\": \"2026-01-02\",\n  \"patient_mrn\": \"MRN-741538\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output transaction record as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-85338602</txn_id>\n<customer_id>ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3</customer_id>\n<timestamp>2026-01-07T13:51:25.620781</timestamp>\n<items>\n<sku>SKU-22630</sku>\n<qty>3</qty>\n<price>89.97</price>\n</items>\n<subtotal>468.67</subtotal>\n<tax>148.91</tax>\n<total>792.01</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-19481816\ncustomer_id: 56fef848-852f-43b5-97b9-807ae99ac1d6\ntimestamp: '2026-01-06T09:43:30.522776'\nitems:\n- sku: SKU-10721\n  qty: 3\n  price: 443.77\n- sku: SKU-47310\n  qty: 4\n  price: 33.87\n- sku: SKU-40807\n  qty: 2\n  price: 128.71\n- sku: SKU-66016\n  qty: 3\n  price: 347.45\nsubtotal: 97.75\ntax: 19.8\ntotal: 448.5\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Three would identify method across operation opportunity.\nWhat realize number. Country perform simpl\",63,458,383,\"[\"\"#pay\"\", \"\"#keep\"\"]\",facebook,POST-90196326,2026-01-07T13:51:26.698310,146c178d-e548-4357-8cd4-e8464cea2f9b,kevincunningham\r\nEducation wife spring billion week. Image attorney whole fight artist. Improve message election rate,408,2103,232,\"[\"\"#tonight\"\", \"\"#fly\"\"]\",instagram,POST-75733660,2026-01-07T13:51:26.699739,545ab2f6-d76f-41ef-9816-fb6089e98282,donnacastro\r\nResponsibility drug individual hit expert almost finally couple. Wait save stay money administration,62,7801,670,\"[\"\"#quality\"\", \"\"#camera\"\"]\",twitter,POST-89046668,2026-01-07T13:51:26.700163,ba15477b-6686-49f4-90e3-c993976aad86,greenedavid\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.86983</paper_id>\n<title>Reverse-engineered national Graphical User Interface</title>\n<authors>\n<name>Wesley Murphy</name>\n<affiliation>Nunez, Meyer and Snow</affiliation>\n<email>nina74@example.net</email>\n</authors>\n<authors>\n<name>Richard Morgan</name>\n<affiliation>Hall-Jones</affiliation>\n<email>justin85@example.org</email>\n</authors>\n<authors>\n<name>Anthony Johnson</name>\n<affiliation>Kelley-Murphy</affiliation>\n<email>srichmond@example.com</email>\n</authors>\n<abstract>Sure finally site who truth. Close stop when low. Check news mother democratic.</abstract>\n<keywords>old</keywords>\n<keywords>indeed</keywords>\n<keywords>general</keywords>\n<keywords>claim</keywords>\n<keywords>every</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.2539/QMDE</doi>\n</publication>\n<citations>221</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-942720\ntitle: Effect of edge on when\nmethodology:\n  design: cohort\n  sample_size: 645\n  duration_days: 54\nresults:\n- metric: safety\n  baseline: 79.64\n  endpoint: 26.86\n  p_value: 0.2863\n- metric: safety\n  baseline: 55.57\n  endpoint: 59.78\n  p_value: 0.1705\n- metric: efficacy\n  baseline: 30.69\n  endpoint: 27.4\n  p_value: 0.1116\n- metric: efficacy\n  baseline: 32.07\n  endpoint: 35.79\n  p_value: 0.1946\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/similar_get_parameters,paths_/similar_get_responses_200_description,paths_/similar_get_responses_400_description,paths_/similar_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Organic analyzing strategy API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Natural see lot recently.,,,,\r\nLight teach determine sense sister way specific. Wife toward too wide agree say the meeting.,\"[{\"\"name\"\": \"\"Vanessa Aguilar\"\", \"\"affiliation\"\": \"\"Hawkins, Johnson and Mejia\"\", \"\"email\"\": \"\"cheyennebird@exa\",438,Jones PLC,,,\"[\"\"meet\"\", \"\"arm\"\", \"\"whom\"\", \"\"state\"\", \"\"not\"\"]\",,arXiv:2021.23888,,,,,10.1336/UFEn,Science,2020,Fundamental leadingedge capability\r\n\"Current clearly treat image.\nLawyer pass our among behind American short. Paper lawyer test clearly \",\"[{\"\"name\"\": \"\"Dana Jacobs\"\", \"\"affiliation\"\": \"\"Vargas, Long and Cooper\"\", \"\"email\"\": \"\"grosskaren@example.org\"\"\",14,None,,,\"[\"\"race\"\", \"\"market\"\", \"\"by\"\", \"\"for\"\", \"\"just\"\"]\",,arXiv:2020.41531,,,,,10.9283/sbPW,Cell,2022,Compatible local throughput\r\n\"Political huge age yourself. Provide development buy.\nMan war somebody four figure ground. Try yard \",\"[{\"\"name\"\": \"\"Abigail Jones\"\", \"\"affiliation\"\": \"\"Jackson-Gonzalez\"\", \"\"email\"\": \"\"reynoldstrevor@example.org\"\"}\",293,\"Osborne, Porter and Diaz\",,,\"[\"\"maybe\"\", \"\"world\"\", \"\"as\"\"]\",,arXiv:2020.47015,,,,,10.7146/MnIR,Cell,2021,Realigned even-keeled Internet solution\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Organic analyzing strategy API\n  version: 1.0.0\npaths:\n  /similar:\n    get:\n      summary: Natural see lot recently.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.87771\"\ntitle = \"User-centric stable ability\"\nabstract = \"Behavior skin nation pay behind remain. Then put again. Process participant current all.\"\nkeywords = [ \"design\", \"him\", \"blue\", \"less\", \"fine\",]\ncitations = 194\n[[authors]]\nname = \"Todd Hall MD\"\naffiliation = \"Nunez-Nguyen\"\nemail = \"grhodes@example.net\"\n\n[[authors]]\nname = \"Makayla Long\"\naffiliation = \"Stanley, Sellers and Jones\"\nemail = \"johnsontammy@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2020\ndoi = \"10.6248/yEgY\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Stand-alone dedicated complexity API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/hear\": {\n      \"get\": {\n        \"summary\": \"Chance cultural sort including high.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Stand-alone dedicated complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</hear>\n<get>\n<summary>Chance cultural sort including high.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//hear>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-353280</assessment_id>\n<student_id>STU-259399</student_id>\n<course_id>CRS-9241</course_id>\n<type>quiz</type>\n<date>2026-01-05</date>\n<scores>\n<question>1</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>13</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>68</total_score>\n<percentage>88.23</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-353280\",\n  \"student_id\": \"STU-259399\",\n  \"course_id\": \"CRS-9241\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-05\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 68,\n  \"percentage\": 88.23,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nfunding_source = \"Kramer Ltd\"\ntitle = \"Configurable bandwidth-monitored strategy\"\n[[authors]]\nname = \"James Brown\"\naffiliation = \"Ward-Davidson\"\nemail = \"wilsonkristin@example.org\"\n\n[[authors]]\nname = \"Luke Liu\"\naffiliation = \"Obrien-Huynh\"\nemail = \"jason08@example.org\"\n\n[[authors]]\nname = \"Paula Gonzalez\"\naffiliation = \"Jones-Howell\"\nemail = \"brent41@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.3653/hXNF\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate lab result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5490961</result_id>\n<patient_mrn>MRN-709917</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>146.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>73.3</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>166.8</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>98.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle = \"Stand-alone empowering functionalities 101\"\n[[schedule]]\nweek = 1\ntopic = \"class\"\n\n[[schedule]]\nweek = 2\ntopic = \"leave\"\n\n[[schedule]]\nweek = 3\ntopic = \"develop\"\n\n[[schedule]]\nweek = 4\ntopic = \"style\"\n\n[[schedule]]\nweek = 5\ntopic = \"again\"\n\n[[schedule]]\nweek = 6\ntopic = \"man\"\n\n[[schedule]]\nweek = 7\ntopic = \"list\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n,84,6676,196,\"[\"\"#pretty\"\", \"\"#admit\"\", \"\"#available\"\"]\",,POST-61351209,,5e546096-8461-4a3f-84e6-813e9e89a39c,nicholasalvarez\r\nIndustry with mention stuff identify inside drive. Yet college just spend human. Partner describe mi,45,9770,690,\"[\"\"#family\"\", \"\"#animal\"\", \"\"#answer\"\"]\",twitter,POST-12732976,2026-01-07T13:51:25.763150,26df7d4a-f4ec-4d57-b9a4-3c85fdd3bc37,philipleach\r\nArgue rock practice check moment sense. Newspaper produce policy surface tend of together.,290,456,539,\"[\"\"#choice\"\", \"\"#hold\"\", \"\"#range\"\", \"\"#place\"\"]\",instagram,POST-32024645,2026-01-07T13:51:25.763559,f22f6923-475e-4a4c-afd9-6d277ca449d5,gwhite\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-20904368\"\ncustomer_id = \"3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\"\ntimestamp = \"2026-01-07T13:51:27.778783\"\nsubtotal = 1853.52\ntax = 74.51\ntotal = 1419.49\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-59380\"\nqty = 2\nprice = 447.63\n\n[[items]]\nsku = \"SKU-56357\"\nqty = 4\nprice = 130.56\n\n[[items]]\nsku = \"SKU-96740\"\nqty = 2\nprice = 230.78\n\n[[items]]\nsku = \"SKU-55928\"\nqty = 1\nprice = 169.07\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Synergistic client-driven implementation API\n  version: 1.0.0\npaths:\n  /body:\n    get:\n      summary: Senior difficult suffer side million address.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate financial report data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Scott-Campbell\"\nticker = \"SZQB\"\nquarter = \"Q2 2021\"\nrevenue = 15063505\nexpenses = 40738667\nnet_income = 16626814\neps = 6.47\n\n[metrics]\nprofit_margin = 15.92\nroe = 8.35\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<items>\n<sku>SKU-71565</sku>\n<qty>1</qty>\n<price>387.38</price>\n</items>\n<items>\n<sku>SKU-23891</sku>\n<qty>1</qty>\n<price>432.74</price>\n</items>\n<items>\n<sku>SKU-77840</sku>\n<qty>1</qty>\n<price>463.12</price>\n</items>\n<items>\n<sku>SKU-27496</sku>\n<qty>3</qty>\n<price>295.3</price>\n</items>\n<tax>39.55</tax>\n<total>1865.58</total>\n<customer_id>bf96f80b-072c-4f04-82b0-c235c01681a8</customer_id>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"items\": [\n    {\n      \"sku\": \"SKU-71565\",\n      \"qty\": 1,\n      \"price\": 387.38\n    },\n    {\n      \"sku\": \"SKU-23891\",\n      \"qty\": 1,\n      \"price\": 432.74\n    },\n    {\n      \"sku\": \"SKU-77840\",\n      \"qty\": 1,\n      \"price\": 463.12\n    },\n    {\n      \"sku\": \"SKU-27496\",\n      \"qty\": 3,\n      \"price\": 295.3\n    }\n  ],\n  \"tax\": 39.55,\n  \"total\": 1865.58,\n  \"customer_id\": \"bf96f80b-072c-4f04-82b0-c235c01681a8\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I84\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J93\"\"}]\",fever,2026-01-04,CN-3041313,45,F,MRN-164256,153/76,98,102.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I98\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I94\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-01,CN-5909970,26,F,MRN-895723,124/83,110,98.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K67\"\"}]\",fever,2026-01-06,CN-7456761,64,F,MRN-427862,167/70,94,100.4\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-3041313\",\n  \"patient\": {\n    \"mrn\": \"MRN-164256\",\n    \"age\": 45,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"153/76\",\n    \"hr\": 98,\n    \"temp_f\": 102.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I84\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"J93\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-449984\",\n  \"parties\": [\n    {\n      \"name\": \"Garcia-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Moore LLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 49,\n  \"value\": 694475,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.73595\"\ntitle = \"De-engineered user-facing ability\"\nabstract = \"Home unit sea lead.\\nWide interview thank prevent drug company share. Be save protect factor wrong little majority consumer.\"\nkeywords = [ \"trouble\", \"page\", \"marriage\", \"city\", \"professor\",]\ncitations = 487\nfunding_source = \"Wilson-Miller\"\n[[authors]]\nname = \"Thomas Brown\"\naffiliation = \"Ramos PLC\"\nemail = \"betty71@example.org\"\n\n[[authors]]\nname = \"Amanda Mitchell\"\naffiliation = \"Romero Inc\"\nemail = \"onealerika@example.net\"\n\n[[authors]]\nname = \"Marcus Long\"\naffiliation = \"Ortega-Jackson\"\nemail = \"williamvaughn@example.com\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.8822/zXsG\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-49469407\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"c776cd7c-2538-4c81-83c8-03afd724bed1\",\n  \"username\": \"donald18\",\n  \"content\": \"Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.\",\n  \"timestamp\": \"2026-01-07T13:51:26.031233\",\n  \"hashtags\": [\n    \"#daughter\",\n    \"#after\",\n    \"#affect\",\n    \"#goal\"\n  ],\n  \"engagement\": {\n    \"likes\": 2564,\n    \"shares\": 187,\n    \"comments\": 95\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-49469407</post_id>\n<platform>instagram</platform>\n<user_id>c776cd7c-2538-4c81-83c8-03afd724bed1</user_id>\n<username>donald18</username>\n<content>Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.</content>\n<timestamp>2026-01-07T13:51:26.031233</timestamp>\n<hashtags>#daughter</hashtags>\n<hashtags>#after</hashtags>\n<hashtags>#affect</hashtags>\n<hashtags>#goal</hashtags>\n<engagement>\n<likes>2564</likes>\n<shares>187</shares>\n<comments>95</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/base_get_parameters,paths_/base_get_responses_200_description,paths_/base_get_responses_400_description,paths_/base_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Horizontal interactive project API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Management send father actually special image.,,,,\r\nBar sell discuss one. Action wear structure onto. Computer brother Democrat produce position various,\"[{\"\"name\"\": \"\"Felicia Lee\"\", \"\"affiliation\"\": \"\"Williams-Brown\"\", \"\"email\"\": \"\"robertjenkins@example.org\"\"}, {\"\"n\",348,None,,,\"[\"\"security\"\", \"\"treatment\"\", \"\"sell\"\", \"\"marriage\"\"]\",,arXiv:2020.33053,,,,,10.3727/VsAZ,Science,2021,Decentralized background monitoring\r\n\"South sing then consider system catch. Choose information spring two. Ground white from.\nJust born c\",\"[{\"\"name\"\": \"\"Katherine Stout\"\", \"\"affiliation\"\": \"\"Norris-Blackwell\"\", \"\"email\"\": \"\"josephtran@example.com\"\"}, \",41,Camacho Group,,,\"[\"\"card\"\", \"\"mention\"\", \"\"share\"\", \"\"difficult\"\"]\",,arXiv:2020.31056,,,,,10.2465/zJMa,Science,2021,Decentralized needs-based alliance\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"April 2022\"\ntotal_revenue = 3111974\nunits_sold = 86316\n[[channels]]\nname = \"wholesale\"\nrevenue = 2873728\ngrowth = 9.88\n\n[[channels]]\nname = \"retail\"\nrevenue = 2607344\ngrowth = 45.34\n\n[[top_products]]\nsku = \"SKU-2924\"\nsales = 133418\n\n[[top_products]]\nsku = \"SKU-4991\"\nsales = 490532\n\n[[top_products]]\nsku = \"SKU-3374\"\nsales = 94347\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output experiment result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-725280</experiment_id>\n<title>Effect of city on expert</title>\n<methodology>\n<design>observational</design>\n<sample_size>907</sample_size>\n<duration_days>166</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>43.19</baseline>\n<endpoint>64.81</endpoint>\n<p_value>0.4813</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>71.73</baseline>\n<endpoint>68.14</endpoint>\n<p_value>0.0851</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>77.12</baseline>\n<endpoint>63.9</endpoint>\n<p_value>0.1154</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-6873\ncode: GDK183\ntitle: Grass-roots 24/7 emulation 101\ninstructor: Melinda Thompson\ncredits: 3\nterm: Fall 2020\nschedule:\n- week: 1\n  topic: girl\n- week: 2\n  topic: explain\n- week: 3\n  topic: center\n- week: 4\n  topic: almost\n- week: 5\n  topic: property\n- week: 6\n  topic: call\n- week: 7\n  topic: bad\n- week: 8\n  topic: study\n- week: 9\n  topic: campaign\n- week: 10\n  topic: performance\n- week: 11\n  topic: sport\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Proactive tertiary database,435.77,PROD-597223,1.73,539,87x91x85cm,19.61,111\r\nelectronics,USD,True,Up-sized discrete matrices,901.15,PROD-517587,1.1,967,87x27x37cm,35.01,34\r\nelectronics,USD,True,Right-sized bottom-line model,41.89,PROD-228718,2.12,46,98x73x60cm,10.49,301\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output prescription as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5305677</rx_id>\n<patient_mrn>MRN-215469</patient_mrn>\n<prescriber>Jeremy Hatfield</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"3ee04eb7-6a96-4708-8070-7816402d081f\",\n  \"timestamp\": \"2026-01-07T13:51:26.236854\",\n  \"level\": \"ERROR\",\n  \"service\": \"checkService\",\n  \"message\": \"Base information cell production decade back.\",\n  \"stack_trace\": [\n    \"at quality.py:463\",\n    \"at but.py:317\"\n  ],\n  \"context\": {\n    \"user_id\": \"9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\",\n    \"request_id\": \"f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>3ee04eb7-6a96-4708-8070-7816402d081f</error_id>\n<timestamp>2026-01-07T13:51:26.236854</timestamp>\n<level>ERROR</level>\n<service>checkService</service>\n<message>Base information cell production decade back.</message>\n<stack_trace>at quality.py:463</stack_trace>\n<stack_trace>at but.py:317</stack_trace>\n<context>\n<user_id>9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b</user_id>\n<request_id>f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 4865933, \"\"growth\"\": 41.22}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4636446, \",,,,,February 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-3361\"\", \"\"sales\"\": 360256}, {\"\"sku\"\": \"\"SKU-1576\"\", \"\"sales\"\": 355717}, {\"\"sku\"\": \"\"SKU-8891\"\", \"\"sa\",5010605,4486\r\nCongress understand concern table. Record ten suggest toward tough prevent. Because cup point piece.,\"[{\"\"name\"\": \"\"Denise Cox\"\", \"\"affiliation\"\": \"\"Swanson Ltd\"\", \"\"email\"\": \"\"kaitlyn05@example.net\"\"}, {\"\"name\"\": \"\"A\",,472,None,\"[\"\"adult\"\", \"\"another\"\", \"\"dream\"\", \"\"night\"\"]\",arXiv:2022.46319,,10.5337/ymxz,Cell,2021,Reverse-engineered local data-warehouse,,,\r\n\"Western require save Mrs full. Ahead arrive need. Case up discover card wall.\nHotel market research \",\"[{\"\"name\"\": \"\"Scott Byrd\"\", \"\"affiliation\"\": \"\"Franco, Smith and Santos\"\", \"\"email\"\": \"\"hernandezerica@example.\",,156,None,\"[\"\"more\"\", \"\"day\"\", \"\"cup\"\", \"\"beat\"\"]\",arXiv:2023.99149,,10.4522/qWHe,Cell,2023,Multi-lateral mission-critical hardware,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-504304\"\neffective_date = \"2026-01-01\"\nterm_months = 50\nvalue = 407863\nstatus = \"executed\"\n[[parties]]\nname = \"Waters-Vega\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Petty, Thompson and Dillon\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,,,Melinda Black,RX-8618237\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-426730,David Murphy,RX-7640117\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-381721,Brandi Ellis,RX-6112301\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Realigned grid-enabled definition API\"\nversion = \"1.0.0\"\n\n[paths.\"/hope\".get]\nsummary = \"Clearly anyone stop single.\"\n[[paths.\"/hope\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/hope\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/hope\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/hope\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Robust foreground policy API\n  version: 1.0.0\npaths:\n  /Congress:\n    get:\n      summary: Fly medical strong such season book.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 291081, \"\"growth\"\": 13.08}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 3224717, \"\"\",,,,,May 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-1104\"\", \"\"sales\"\": 202228}, {\"\"sku\"\": \"\"SKU-8974\"\", \"\"sales\"\": 366825}, {\"\"sku\"\": \"\"SKU-9026\"\", \"\"sa\",4703125,95535\r\n\"Be why business against. Whose wide step knowledge away fine.\nConsider picture size best specific in\",\"[{\"\"name\"\": \"\"Kristen Stewart\"\", \"\"affiliation\"\": \"\"Lee PLC\"\", \"\"email\"\": \"\"ricardo37@example.org\"\"}, {\"\"name\"\": \"\"\",,499,None,\"[\"\"produce\"\", \"\"yes\"\", \"\"general\"\", \"\"here\"\"]\",arXiv:2021.19842,,10.6224/wsyp,Cell,2022,Progressive optimizing moratorium,,,\r\nAgency personal point think board exist well. Analysis seem so face into though own. Their account s,\"[{\"\"name\"\": \"\"Marissa Ochoa\"\", \"\"affiliation\"\": \"\"Marshall-Holland\"\", \"\"email\"\": \"\"thomaskyle@example.org\"\"}, {\"\"\",,296,Stanley-Mann,\"[\"\"reduce\"\", \"\"end\"\", \"\"picture\"\"]\",arXiv:2023.28006,,10.7553/lern,Cell,2022,Compatible foreground strategy,,,\r\nEnter but no bank hotel. Prevent right deal green open use whom.,\"[{\"\"name\"\": \"\"Lisa Smith\"\", \"\"affiliation\"\": \"\"Davidson PLC\"\", \"\"email\"\": \"\"smithkristin@example.org\"\"}, {\"\"name\"\"\",,199,\"Lynch, Rodriguez and Avila\",\"[\"\"quite\"\", \"\"film\"\", \"\"shake\"\", \"\"his\"\"]\",arXiv:2020.53474,,10.5413/Ndif,Science,2023,Focused cohesive standardization,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Seven behavior less water pretty.\nRock key include. Kind than game agreement.\nPaper position reduce \",393,1826,489,\"[\"\"#draw\"\", \"\"#five\"\", \"\"#culture\"\", \"\"#sport\"\"]\",twitter,POST-78526123,2026-01-07T13:51:27.460227,17596017-ad50-41af-8dc2-8746d15af00d,qsharp\r\nMatter sea listen out physical number. Front statement field apply tree. Inside pick son try majorit,237,1422,735,\"[\"\"#of\"\", \"\"#concern\"\", \"\"#minute\"\"]\",twitter,POST-43767634,2026-01-07T13:51:27.462901,7c6101d0-d69d-4126-8f6f-13a78000739b,chanshelly\r\n\"Term practice goal already of. Power million his enough.\nOther policy it be join. Trouble practice e\",143,4547,440,\"[\"\"#positive\"\", \"\"#market\"\", \"\"#manager\"\"]\",facebook,POST-94381509,2026-01-07T13:51:27.463232,4256b52b-086a-422b-a622-b343b19168af,cmcdonald\r\n\"Could through million money shake wind.\nInstead require section recently perform kitchen. Could styl\",266,8910,388,\"[\"\"#spring\"\", \"\"#new\"\", \"\"#food\"\", \"\"#close\"\"]\",instagram,POST-11658610,2026-01-07T13:51:27.463488,9c25ff61-1207-4bb4-a5c9-4eadfef8a8a3,thomas33\r\n\"Green thing risk stay similar. Office peace deal.\nIssue even last arm. What image debate itself.\nFor\",368,1086,72,\"[\"\"#candidate\"\", \"\"#information\"\", \"\"#its\"\"]\",instagram,POST-62283361,2026-01-07T13:51:27.463898,256489a3-7d75-49e5-aa87-b3793ba822e6,brianmccullough\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-78526123\"\nplatform = \"twitter\"\nuser_id = \"17596017-ad50-41af-8dc2-8746d15af00d\"\nusername = \"qsharp\"\ncontent = \"Seven behavior less water pretty.\\nRock key include. Kind than game agreement.\\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.\"\ntimestamp = \"2026-01-07T13:51:27.460227\"\nhashtags = [ \"#draw\", \"#five\", \"#culture\", \"#sport\",]\n\n[engagement]\nlikes = 1826\nshares = 489\ncomments = 393\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-66277640</post_id>\n<platform>instagram</platform>\n<user_id>7e83a029-16e2-49ad-a855-906c882abe46</user_id>\n<username>reynoldstaylor</username>\n<content>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.</content>\n<timestamp>2026-01-07T13:51:26.676406</timestamp>\n<hashtags>#case</hashtags>\n<hashtags>#along</hashtags>\n<hashtags>#only</hashtags>\n<hashtags>#have</hashtags>\n<engagement>\n<likes>9942</likes>\n<shares>119</shares>\n<comments>368</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-66277640\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"7e83a029-16e2-49ad-a855-906c882abe46\",\n  \"username\": \"reynoldstaylor\",\n  \"content\": \"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.\",\n  \"timestamp\": \"2026-01-07T13:51:26.676406\",\n  \"hashtags\": [\n    \"#case\",\n    \"#along\",\n    \"#only\",\n    \"#have\"\n  ],\n  \"engagement\": {\n    \"likes\": 9942,\n    \"shares\": 119,\n    \"comments\": 368\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"course_id\": \"CRS-6496\",\n  \"code\": \"TMG245\",\n  \"instructor\": \"Maria Bowers\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"situation\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"firm\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"involve\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"change\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"yard\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"morning\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"left\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id = \"CRS-6496\"\ncode = \"TMG245\"\ninstructor = \"Maria Bowers\"\n[[schedule]]\nweek = 1\ntopic = \"situation\"\n\n[[schedule]]\nweek = 2\ntopic = \"firm\"\n\n[[schedule]]\nweek = 3\ntopic = \"involve\"\n\n[[schedule]]\nweek = 4\ntopic = \"change\"\n\n[[schedule]]\nweek = 5\ntopic = \"yard\"\n\n[[schedule]]\nweek = 6\ntopic = \"morning\"\n\n[[schedule]]\nweek = 7\ntopic = \"other\"\n\n[[schedule]]\nweek = 8\ntopic = \"left\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Explain among above role speech. Hear law enjoy. Lose building fall everything million.\nEast choose \",,2026-01-06,67,,,,PROD-601177,3,REV-2971879,,,,,Safe everything country understand subject.,49ec79ac-cc63-409f-8812-a70c492b6835,True\r\nbooks,,USD,,,True,Virtual systemic artificial intelligence,461.95,PROD-845120,4.27,,554,71x75x17cm,21.94,416,,,\r\nbooks,,USD,,,True,Profit-focused asymmetric methodology,167.66,PROD-848049,2.31,,135,28x12x36cm,5.16,200,,,\r\nclothing,,USD,,,True,Visionary context-sensitive moratorium,37.28,PROD-307786,3.15,,199,28x58x82cm,36.29,111,,,\r\nclothing,,USD,,,True,Configurable responsive adapter,608.27,PROD-489988,1.82,,588,50x97x89cm,7.39,121,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-640570\",\n  \"parties\": [\n    {\n      \"name\": \"Mitchell-Clark\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Simmons-Marquez\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 52,\n  \"value\": 450714,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Organic analyzing strategy API\n  version: 1.0.0\npaths:\n  /similar:\n    get:\n      summary: Natural see lot recently.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Robust demand-driven hub API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/finally\": {\n      \"get\": {\n        \"summary\": \"Describe experience pick treatment up remain withi\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Robust demand-driven hub API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</finally>\n<get>\n<summary>Describe experience pick treatment up remain withi</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//finally>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>2472943</total_revenue>\n<units_sold>2053</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3703587</revenue>\n<growth>38.49</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3200920</revenue>\n<growth>-8.82</growth>\n</channels>\n<top_products>\n<sku>SKU-8959</sku>\n<sales>220308</sales>\n</top_products>\n<top_products>\n<sku>SKU-7189</sku>\n<sales>206126</sales>\n</top_products>\n<top_products>\n<sku>SKU-5359</sku>\n<sales>225947</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 2472943,\n  \"units_sold\": 2053,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3703587,\n      \"growth\": 38.49\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3200920,\n      \"growth\": -8.82\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8959\",\n      \"sales\": 220308\n    },\n    {\n      \"sku\": \"SKU-7189\",\n      \"sales\": 206126\n    },\n    {\n      \"sku\": \"SKU-5359\",\n      \"sales\": 225947\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nBody exactly last operation trouble. Financial whole check management chance eat us. Likely wrong ex,\"[{\"\"name\"\": \"\"David Cohen\"\", \"\"affiliation\"\": \"\"Lopez and Sons\"\", \"\"email\"\": \"\"mark98@example.com\"\"}, {\"\"name\"\": \"\"\",174,None,\"[\"\"rather\"\", \"\"hair\"\", \"\"attorney\"\", \"\"chance\"\", \"\"bring\"\"]\",arXiv:2024.66116,10.7468/EeJM,Cell,2020,Quality-focused grid-enabled service-desk\r\nExpert just pretty hair investment. Culture spring style give stuff possible some. Economy computer ,\"[{\"\"name\"\": \"\"Sandra Hooper\"\", \"\"affiliation\"\": \"\"Jensen Ltd\"\", \"\"email\"\": \"\"leslie48@example.com\"\"}, {\"\"name\"\": \"\"\",345,None,\"[\"\"last\"\", \"\"almost\"\", \"\"job\"\", \"\"sign\"\", \"\"down\"\"]\",arXiv:2021.40455,10.5292/iAxh,Science,2021,Persevering mobile software\r\nCoach personal class appear country whom place. Fill paper build appear for.,\"[{\"\"name\"\": \"\"Christine Brown\"\", \"\"affiliation\"\": \"\"Beck, Scott and Mcintosh\"\", \"\"email\"\": \"\"jacobpratt@example\",301,None,\"[\"\"purpose\"\", \"\"dark\"\", \"\"should\"\", \"\"hold\"\"]\",arXiv:2023.16319,10.3987/Ampj,Cell,2020,Progressive system-worthy core\r\nField indicate pattern make billion should area decide. Down here answer you. Everyone although low ,\"[{\"\"name\"\": \"\"Margaret Hernandez\"\", \"\"affiliation\"\": \"\"Wheeler, Jones and Mckinney\"\", \"\"email\"\": \"\"kathy56@exam\",298,None,\"[\"\"instead\"\", \"\"rate\"\", \"\"teacher\"\", \"\"above\"\", \"\"know\"\"]\",arXiv:2022.56148,10.8232/sKnC,Cell,2022,Open-architected real-time orchestration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.48279\",\n  \"title\": \"Operative systemic definition\",\n  \"authors\": [\n    {\n      \"name\": \"Patricia Owens\",\n      \"affiliation\": \"Pearson, Quinn and Owens\",\n      \"email\": \"christopher41@example.net\"\n    },\n    {\n      \"name\": \"Wayne Boyd\",\n      \"affiliation\": \"Delacruz-Weaver\",\n      \"email\": \"powens@example.net\"\n    },\n    {\n      \"name\": \"Christopher Castillo\",\n      \"affiliation\": \"Lawrence-Caldwell\",\n      \"email\": \"amandacarey@example.com\"\n    }\n  ],\n  \"abstract\": \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\",\n  \"keywords\": [\n    \"month\",\n    \"southern\",\n    \"administration\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1648/XIrv\"\n  },\n  \"citations\": 167,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4164</course_id>\n<code>RVR286</code>\n<title>Team-oriented incremental info-mediaries 101</title>\n<instructor>Shannon Miller</instructor>\n<credits>3</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>stuff</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>professional</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>hard</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>lawyer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>camera</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>focus</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>spend</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>quickly</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-4164\",\n  \"code\": \"RVR286\",\n  \"title\": \"Team-oriented incremental info-mediaries 101\",\n  \"instructor\": \"Shannon Miller\",\n  \"credits\": 3,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"stuff\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"professional\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"hard\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"lawyer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"camera\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"focus\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"spend\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"quickly\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-1056021\",\n  \"patient_mrn\": \"MRN-977601\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 124.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 114.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 119.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1056021</result_id>\n<patient_mrn>MRN-977601</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>WBC</test>\n<value>124.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>114.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>70.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>119.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>171.0</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9456\ncode: KDS432\ntitle: Multi-channeled local complexity 101\ninstructor: Kenneth Rogers\ncredits: 3\nterm: Fall 2020\nschedule:\n- week: 1\n  topic: activity\n- week: 2\n  topic: foot\n- week: 3\n  topic: reason\n- week: 4\n  topic: rule\n- week: 5\n  topic: paper\n- week: 6\n  topic: current\n- week: 7\n  topic: scene\n- week: 8\n  topic: later\n- week: 9\n  topic: choice\n- week: 10\n  topic: box\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67735</paper_id>\n<title>Optimized even-keeled conglomeration</title>\n<authors>\n<name>Garrett Contreras</name>\n<affiliation>Drake-Dunn</affiliation>\n<email>sandrapineda@example.net</email>\n</authors>\n<authors>\n<name>Ryan Bell</name>\n<affiliation>Ramos, Gates and Reed</affiliation>\n<email>kdavis@example.net</email>\n</authors>\n<authors>\n<name>Cindy Silva</name>\n<affiliation>Bryant, Pratt and Henderson</affiliation>\n<email>fmiller@example.net</email>\n</authors>\n<abstract>Sort suffer stand purpose six resource. Forward hard officer film the word human first.</abstract>\n<keywords>attack</keywords>\n<keywords>not</keywords>\n<keywords>describe</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.7544/lKSL</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Wood, Baldwin and Cain</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.66116\",\n  \"title\": \"Quality-focused grid-enabled service-desk\",\n  \"authors\": [\n    {\n      \"name\": \"David Cohen\",\n      \"affiliation\": \"Lopez and Sons\",\n      \"email\": \"mark98@example.com\"\n    },\n    {\n      \"name\": \"Ashley Spencer\",\n      \"affiliation\": \"Hood Ltd\",\n      \"email\": \"pbailey@example.org\"\n    },\n    {\n      \"name\": \"Robin Lynch\",\n      \"affiliation\": \"Camacho, Nelson and Perez\",\n      \"email\": \"samantha44@example.net\"\n    }\n  ],\n  \"abstract\": \"Body exactly last operation trouble. Financial whole check management chance eat us. Likely wrong explain by would born only.\",\n  \"keywords\": [\n    \"rather\",\n    \"hair\",\n    \"attorney\",\n    \"chance\",\n    \"bring\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2020,\n    \"doi\": \"10.7468/EeJM\"\n  },\n  \"citations\": 174,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-299234,2026-01-06,\"[{\"\"name\"\": \"\"Murphy, Hawkins and Mckenzie\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Collins-Miller\"\", \"\"role\"\": \"\"pa\",pending,46,506357\r\nCTR-337304,2026-01-06,\"[{\"\"name\"\": \"\"Smith Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ellis Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,32,719115\r\nCTR-137609,2026-01-05,\"[{\"\"name\"\": \"\"Cruz-Chandler\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ward-Kelley\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,29,406638\r\nCTR-835177,2026-01-06,\"[{\"\"name\"\": \"\"Villegas-Todd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gutierrez Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,14,279705\r\nCTR-398189,2026-01-06,\"[{\"\"name\"\": \"\"Barker, Patel and Brown\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Stevenson, Watson and Ward\"\", \"\"rol\",executed,29,902465\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,rating,title\r\n,,,2026-01-05,,,,,,,4,Teach why painting per short.\r\nMessage city interesting Congress they small.,\"[{\"\"name\"\": \"\"Taylor Howard\"\", \"\"affiliation\"\": \"\"Arias Group\"\", \"\"email\"\": \"\"jill11@example.net\"\"}, {\"\"name\"\": \"\"S\",32,,None,\"[\"\"five\"\", \"\"traditional\"\", \"\"manager\"\", \"\"myself\"\"]\",arXiv:2020.73036,10.5154/OGZj,Science,2023,,Switchable intangible complexity\r\nNecessary such author her southern soldier sense. Reduce itself election special approach kitchen wi,\"[{\"\"name\"\": \"\"Kathleen Harris\"\", \"\"affiliation\"\": \"\"Stark, Thompson and Roberts\"\", \"\"email\"\": \"\"cindythomas@exa\",120,,None,\"[\"\"some\"\", \"\"history\"\", \"\"financial\"\", \"\"energy\"\"]\",arXiv:2022.82681,10.1306/EolF,Nature,2024,,Intuitive methodical instruction set\r\nResponsibility sometimes understand human long. Cost show cover prevent none truth.,\"[{\"\"name\"\": \"\"Katelyn Black\"\", \"\"affiliation\"\": \"\"Perez-King\"\", \"\"email\"\": \"\"curtisrivera@example.com\"\"}, {\"\"name\",37,,None,\"[\"\"fine\"\", \"\"seat\"\", \"\"media\"\", \"\"box\"\", \"\"while\"\"]\",arXiv:2021.92430,10.7877/EkUT,Cell,2021,,Monitored zero tolerance approach\r\nChallenge include son foot save. Show three similar outside page safe.,\"[{\"\"name\"\": \"\"Janice Diaz DVM\"\", \"\"affiliation\"\": \"\"Gonzalez, Davis and Green\"\", \"\"email\"\": \"\"qgallagher@exampl\",79,,\"Little, Miller and Lopez\",\"[\"\"until\"\", \"\"traditional\"\", \"\"make\"\"]\",arXiv:2021.34246,10.6713/gNjt,Cell,2020,,Virtual 4thgeneration conglomeration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Re-engineered mobile superstructure API\"\nversion = \"1.0.0\"\n\n[paths.\"/benefit\".get]\nsummary = \"Chair media space recognize doctor would second me\"\n[[paths.\"/benefit\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/benefit\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/benefit\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/benefit\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/benefit\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\ncourse_id = \"CRS-3741\"\ncode = \"XMJ312\"\ntitle = \"Managed incremental focus group 101\"\ninstructor = \"Rachel Diaz\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"body\"\n\n[[schedule]]\nweek = 2\ntopic = \"rather\"\n\n[[schedule]]\nweek = 3\ntopic = \"song\"\n\n[[schedule]]\nweek = 4\ntopic = \"child\"\n\n[[schedule]]\nweek = 5\ntopic = \"born\"\n\n[[schedule]]\nweek = 6\ntopic = \"beyond\"\n\n[[schedule]]\nweek = 7\ntopic = \"there\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-3741\ncode: XMJ312\ntitle: Managed incremental focus group 101\ninstructor: Rachel Diaz\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: body\n- week: 2\n  topic: rather\n- week: 3\n  topic: song\n- week: 4\n  topic: child\n- week: 5\n  topic: born\n- week: 6\n  topic: beyond\n- week: 7\n  topic: there\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Secured well-modulated policy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/article\": {\n      \"get\": {\n        \"summary\": \"During certainly full.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Secured well-modulated policy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</article>\n<get>\n<summary>During certainly full.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//article>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-996269\",\n  \"student_id\": \"STU-878254\",\n  \"course_id\": \"CRS-8988\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 71,\n  \"percentage\": 94.86,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"note_id\": \"CN-7937835\",\n  \"patient\": {\n    \"mrn\": \"MRN-749785\",\n    \"age\": 66,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"179/85\",\n    \"hr\": 81,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I52\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J76\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I52\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J76\"\"}]\",chest pain,2026-01-06,CN-7937835,66,M,MRN-749785,179/85,81,101.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J61\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J60\"\"}]\",fever,2026-01-04,CN-9641504,66,F,MRN-273795,178/104,76,98.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I23\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K35\"\"}]\",headache,2026-01-06,CN-4036088,44,M,MRN-564198,139/69,64,98.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K26\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K31\"\"}, {\"\"problem\"\": \"\"diab\",fever,2026-01-04,CN-2650447,19,F,MRN-971752,176/82,96,101.6\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-9141\",\n  \"code\": \"ESH384\",\n  \"title\": \"Inverse real-time hardware 101\",\n  \"instructor\": \"Matthew Boyd\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"since\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"tree\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"until\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"how\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"test\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"half\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"See personal couple road president most next. Laugh teach lawyer character work present.\nPage give e\",62,1911,761,\"[\"\"#PM\"\", \"\"#stage\"\", \"\"#government\"\"]\",twitter,POST-69367106,2026-01-07T13:51:25.991400,7643b70d-1c60-436f-974e-7bc6cee5e032,gordonalexander\r\nBoy whose edge avoid force together example. Sense leave major example.,170,1418,558,\"[\"\"#alone\"\", \"\"#fire\"\", \"\"#such\"\", \"\"#rate\"\"]\",instagram,POST-25052128,2026-01-07T13:51:25.992859,329689c8-d515-4b74-aac8-680281f98730,garzasteven\r\n\"Nor mouth wind movement action. Now sense method until.\nDesign south defense say key his professiona\",167,953,375,\"[\"\"#police\"\", \"\"#remain\"\", \"\"#kid\"\"]\",instagram,POST-32026983,2026-01-07T13:51:25.993258,7453d5f5-c3a0-432d-9ada-bb6b48cdd445,jonessarah\r\nInstitution produce enjoy space. City draw girl right. Walk and affect natural almost democratic.,191,8329,401,\"[\"\"#dinner\"\", \"\"#campaign\"\"]\",instagram,POST-20598937,2026-01-07T13:51:25.993532,ae2ebd48-0287-40ab-acef-1024261e5ade,robert88\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Stand-alone dedicated complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</hear>\n<get>\n<summary>Chance cultural sort including high.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//hear>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Stand-alone dedicated complexity API\"\nversion = \"1.0.0\"\n\n[paths.\"/hear\".get]\nsummary = \"Chance cultural sort including high.\"\n[[paths.\"/hear\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/hear\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/hear\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/hear\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/hear\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-561051\"\ntitle = \"Effect of general on debate\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 56.39\nendpoint = 83.12\np_value = 0.0984\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 50.64\nendpoint = 62.61\np_value = 0.0109\n\n[methodology]\ndesign = \"observational\"\nsample_size = 722\nduration_days = 247\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-2804449\",\n  \"patient\": {\n    \"mrn\": \"MRN-394213\",\n    \"age\": 73,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"162/64\",\n    \"hr\": 70,\n    \"temp_f\": 102.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,Lipid,MRN-496025,LAB-5796495,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 74.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-03,CBC,MRN-797266,LAB-9032696,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 85.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": \"\r\n2026-01-04,CMP,MRN-148220,LAB-1764345,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 53.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 199\"\r\n2026-01-06,CBC,MRN-914718,LAB-6311343,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 166.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need clinical note details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2571416\npatient:\n  mrn: MRN-555681\n  age: 56\n  gender: M\nencounter_date: '2026-01-05'\nchief_complaint: chest pain\nvitals:\n  bp: 167/83\n  hr: 92\n  temp_f: 97.2\nassessment:\n- problem: diabetes\n  icd10: I57\n- problem: diabetes\n  icd10: K23\n- problem: hypertension\n  icd10: J92\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Eaton, Mccarty and Lopez</company>\n<ticker>OWKB</ticker>\n<quarter>Q3 2021</quarter>\n<revenue>46227283</revenue>\n<expenses>75330506</expenses>\n<net_income>13309525</net_income>\n<eps>4.82</eps>\n<metrics>\n<profit_margin>29.61</profit_margin>\n<roe>8.93</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"rx_id\": \"RX-7309915\",\n  \"patient_mrn\": \"MRN-389849\",\n  \"prescriber\": \"Briana Dickerson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7309915</rx_id>\n<patient_mrn>MRN-389849</patient_mrn>\n<prescriber>Briana Dickerson</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Cross-group bottom-line algorithm API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/rule\": {\n      \"get\": {\n        \"summary\": \"Center available level environment per away author\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate lab result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9548003</result_id>\n<patient_mrn>MRN-322322</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>67.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>66.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>118.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>198.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>167.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>143.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>150.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKHT173,CRS-3165,4,40,30,30,John Blair,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"social\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"eight\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"land\"\"}, {\"\"week\",Fall 2021,Inverse well-modulated open architecture 101\r\nMAB477,CRS-7793,3,40,30,30,Stephanie Patton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"develop\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"place\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"act\"\"}, {\"\"week\",Spring 2023,Realigned transitional open architecture 101\r\nICK220,CRS-5171,3,40,30,30,Joseph Lopez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"live\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"before\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"particular\"\"}, {\",Spring 2022,Profound encompassing middleware 101\r\nYOF273,CRS-3795,3,40,30,30,Adam Bass,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"professional\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"work\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"industry\"\"\",Spring 2024,Face-to-face executive software 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nassessment_id = \"ASMT-247200\"\nstudent_id = \"STU-875284\"\ncourse_id = \"CRS-8025\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 71\npercentage = 71.48\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 4\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-5754690\",\n  \"patient\": {\n    \"mrn\": \"MRN-521303\",\n    \"age\": 32,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"101/104\",\n    \"hr\": 85,\n    \"temp_f\": 99.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K80\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.67669\"\ntitle = \"Triple-buffered dedicated knowledgebase\"\nabstract = \"Account fish possible democratic ok no. Accept short mention guy.\\nPlace finish religious mean end success. Travel into music they.\"\nkeywords = [ \"thank\", \"far\", \"fund\", \"get\", \"role\",]\ncitations = 60\nfunding_source = \"Diaz-Salinas\"\n[[authors]]\nname = \"Julie Mclaughlin\"\naffiliation = \"Andrews Group\"\nemail = \"brianna81@example.org\"\n\n[[authors]]\nname = \"Peggy Kramer\"\naffiliation = \"Beasley, Edwards and Webb\"\nemail = \"susan35@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2023\ndoi = \"10.1349/JgWc\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock,user_id,verified_purchase\r\n,Skin garden whole media city property speech. Ready few voice new more. Process have nearly item.,,,,,PROD-237264,,,,,,f4c2e919-6b38-4b45-984b-efd7769b0469,True\r\nclothing,,USD,True,Managed optimal encryption,37.14,PROD-896782,3.14,279,85x61x32cm,12.22,898,,\r\nelectronics,,USD,True,Profound reciprocal definition,926.7,PROD-522191,3.3,526,48x65x72cm,36.26,879,,\r\nbooks,,USD,True,Secured secondary groupware,720.81,PROD-441930,2.94,480,81x50x35cm,37.09,275,,\r\nclothing,,USD,True,Multi-layered tangible interface,546.01,PROD-608799,3.93,865,95x55x56cm,39.58,291,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-19844803\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"eee48898-e428-4685-b6ea-d0074f4ffb8a\",\n  \"username\": \"pinedaryan\",\n  \"content\": \"Between past agree writer forget big. Simple glass protect job answer thank.\\nGovernment prepare rather agency hard. Fear director room future hospital.\",\n  \"timestamp\": \"2026-01-07T13:51:25.753060\",\n  \"hashtags\": [\n    \"#fast\",\n    \"#imagine\",\n    \"#carry\"\n  ],\n  \"engagement\": {\n    \"likes\": 1299,\n    \"shares\": 900,\n    \"comments\": 90\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6812810\"\npatient_mrn = \"MRN-631747\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"WBC\"\nvalue = 54.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 70.8\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 59.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 140.8\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nresult_id = \"LAB-1812594\"\npatient_mrn = \"MRN-755137\"\norder_date = \"2026-01-06\"\npanel = \"CMP\"\n[[results]]\ntest = \"Glucose\"\nvalue = 131.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 183.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 130.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 178.3\nunit = \"g/dL\"\nflag = \"low\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id: LAB-1812594\npatient_mrn: MRN-755137\norder_date: '2026-01-06'\npanel: CMP\nresults:\n- test: Glucose\n  value: 131.9\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 183.7\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 130.1\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 178.3\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-428311\",\n  \"name\": \"Object-based value-added workforce\",\n  \"category\": \"books\",\n  \"price\": 802.3,\n  \"currency\": \"USD\",\n  \"stock\": 719,\n  \"is_available\": true,\n  \"rating\": 1.5,\n  \"reviews\": 81,\n  \"specs\": {\n    \"weight_kg\": 27.85,\n    \"dimensions\": \"99x87x32cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-428311</product_id>\n<name>Object-based value-added workforce</name>\n<category>books</category>\n<price>802.3</price>\n<currency>USD</currency>\n<stock>719</stock>\n<is_available>True</is_available>\n<rating>1.5</rating>\n<reviews>81</reviews>\n<specs>\n<weight_kg>27.85</weight_kg>\n<dimensions>99x87x32cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I93\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I56\"\"}]\",fever,2026-01-03,CN-7885449,81,F,MRN-838408,108/68,86,98.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K70\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J83\"\"}]\",fever,2026-01-03,CN-7105899,78,F,MRN-341036,146/110,92,102.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K94\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I16\"\"}]\",headache,2026-01-03,CN-4261313,61,F,MRN-628077,119/80,63,98.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K79\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I92\"\"}]\",fever,2026-01-04,CN-1862208,79,M,MRN-808227,107/86,109,100.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I31\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J64\"\"}]\",headache,2026-01-03,CN-1098665,47,M,MRN-731074,96/95,114,100.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7233\"\ncode = \"KEF210\"\ntitle = \"Synchronized client-server concept 101\"\ninstructor = \"Christine Campbell\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"enjoy\"\n\n[[schedule]]\nweek = 2\ntopic = \"pick\"\n\n[[schedule]]\nweek = 3\ntopic = \"year\"\n\n[[schedule]]\nweek = 4\ntopic = \"technology\"\n\n[[schedule]]\nweek = 5\ntopic = \"people\"\n\n[[schedule]]\nweek = 6\ntopic = \"his\"\n\n[[schedule]]\nweek = 7\ntopic = \"commercial\"\n\n[[schedule]]\nweek = 8\ntopic = \"health\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-458464\",\n  \"student_id\": \"STU-453066\",\n  \"course_id\": \"CRS-7675\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 67,\n  \"percentage\": 65.79,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5,9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b,3ee04eb7-6a96-4708-8070-7816402d081f,,,ERROR,Base information cell production decade back.,,,,,checkService,\"[\"\"at quality.py:463\"\", \"\"at but.py:317\"\"]\",2026-01-07T13:51:26.236854,\r\nFilm child middle available east mind exist. From today drive talk low operation. Determine shake pa,\"[{\"\"name\"\": \"\"David Navarro\"\", \"\"affiliation\"\": \"\"Nicholson and Sons\"\", \"\"email\"\": \"\"william70@example.net\"\"}, {\",297,,,,Cabrera-Crane,\"[\"\"discussion\"\", \"\"record\"\", \"\"human\"\"]\",,,arXiv:2021.46647,10.5345/LoLH,Science,2022,,,,Seamless empowering customer loyalty\r\n\"Either left exist spring. Involve share take manager poor knowledge.\nUnderstand consider college thr\",\"[{\"\"name\"\": \"\"Alexandra Jones\"\", \"\"affiliation\"\": \"\"Cooper Group\"\", \"\"email\"\": \"\"alex89@example.net\"\"}, {\"\"name\"\":\",138,,,,None,\"[\"\"moment\"\", \"\"something\"\", \"\"thought\"\", \"\"opportunity\"\", \"\"return\"\"]\",,,arXiv:2023.74895,10.3935/gzUE,Nature,2021,,,,Object-based didactic alliance\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.66116\ntitle: Quality-focused grid-enabled service-desk\nauthors:\n- name: David Cohen\n  affiliation: Lopez and Sons\n  email: mark98@example.com\n- name: Ashley Spencer\n  affiliation: Hood Ltd\n  email: pbailey@example.org\n- name: Robin Lynch\n  affiliation: Camacho, Nelson and Perez\n  email: samantha44@example.net\nabstract: Body exactly last operation trouble. Financial whole check management chance\n  eat us. Likely wrong explain by would born only.\nkeywords:\n- rather\n- hair\n- attorney\n- chance\n- bring\npublication:\n  venue: Cell\n  year: 2020\n  doi: 10.7468/EeJM\ncitations: 174\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1681251</review_id>\n<product_id>PROD-380005</product_id>\n<user_id>6ee75bbe-7aec-42b2-b8ce-db908c5fbc3a</user_id>\n<rating>3</rating>\n<title>Floor measure may hear dark at.</title>\n<content>Us board wonder trouble. Up as inside party growth seat. College late direction amount best team.\nFish gas end appear mother assume. Anyone major game miss similar argue. Moment describe require.</content>\n<date>2026-01-05</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>21</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-3741\",\n  \"code\": \"XMJ312\",\n  \"title\": \"Managed incremental focus group 101\",\n  \"instructor\": \"Rachel Diaz\",\n  \"credits\": 4,\n  \"term\": \"Fall 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"body\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"child\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"born\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"beyond\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"there\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Ortega-Owens</company>\n<ticker>YLLB</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>37598920</revenue>\n<expenses>44591506</expenses>\n<net_income>3197580</net_income>\n<eps>1.51</eps>\n<metrics>\n<profit_margin>5.54</profit_margin>\n<roe>6.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need experiment result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresults:\n- metric: efficacy\n  baseline: 23.53\n  endpoint: 16.45\n  p_value: 0.2406\n- metric: safety\n  baseline: 97.51\n  endpoint: 52.65\n  p_value: 0.2701\nexperiment_id: EXP-305818\nmethodology:\n  design: cohort\n  sample_size: 363\n  duration_days: 286\nconclusion: non-significant\ntitle: Effect of long on no\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-9595817\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K99\"\n\n[patient]\nmrn = \"MRN-972408\"\nage = 32\ngender = \"F\"\n\n[vitals]\nbp = \"102/103\"\nhr = 113\ntemp_f = 102.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1446891, \"\"growth\"\": 24.39}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1233913, \",,,,,June 2020,,,,,\"[{\"\"sku\"\": \"\"SKU-1210\"\", \"\"sales\"\": 430558}, {\"\"sku\"\": \"\"SKU-7305\"\", \"\"sales\"\": 10043}, {\"\"sku\"\": \"\"SKU-4031\"\", \"\"sal\",6701094,99823\r\nConsumer owner individual. Citizen dream service. Its husband financial hot truth understand.,\"[{\"\"name\"\": \"\"Andrew Rivera\"\", \"\"affiliation\"\": \"\"Garza, West and Huffman\"\", \"\"email\"\": \"\"antoniorivera@example\",,341,None,\"[\"\"fact\"\", \"\"party\"\", \"\"guy\"\"]\",arXiv:2021.80530,,10.2445/Vrxk,Cell,2021,Synergized systemic matrix,,,\r\n\"Forget smile democratic low. Herself place approach. Gun present general institution test.\nConsider \",\"[{\"\"name\"\": \"\"Gregory Ellis\"\", \"\"affiliation\"\": \"\"Cole-George\"\", \"\"email\"\": \"\"kenneth36@example.net\"\"}, {\"\"name\"\":\",,65,Martinez-Lin,\"[\"\"join\"\", \"\"type\"\", \"\"speech\"\"]\",arXiv:2023.31699,,10.8539/YuyA,Science,2024,Integrated 24/7 parallelism,,,\r\nOut small reality above which current. Account prepare yes. Staff hold finally.,\"[{\"\"name\"\": \"\"Katherine Terry\"\", \"\"affiliation\"\": \"\"Madden-Reynolds\"\", \"\"email\"\": \"\"monica54@example.org\"\"}, {\"\"n\",,457,None,\"[\"\"need\"\", \"\"sure\"\", \"\"response\"\", \"\"class\"\", \"\"product\"\"]\",arXiv:2023.63499,,10.4952/cOyW,Nature,2021,Fundamental attitude-oriented emulation,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npanel = \"CBC\"\npatient_mrn = \"MRN-611551\"\nresult_id = \"LAB-9886636\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 70.2\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 65.0\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 119.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 124.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 199.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n19d3d880-f410-4b85-a35d-9c5777705d1f,\"[{\"\"sku\"\": \"\"SKU-30306\"\", \"\"qty\"\": 4, \"\"price\"\": 206.74}]\",paypal,1354.26,33.08,2026-01-07T13:51:26.837603,766.28,TXN-48552675\r\nc695c55e-b596-46d9-bc47-c390aa7c872d,\"[{\"\"sku\"\": \"\"SKU-94750\"\", \"\"qty\"\": 1, \"\"price\"\": 472.93}, {\"\"sku\"\": \"\"SKU-10504\"\", \"\"qty\"\": 5, \"\"price\"\": 264.67}, {\",credit_card,955.84,108.17,2026-01-07T13:51:26.838863,316.49,TXN-54465557\r\nea98c41e-a3d5-4d9e-bee6-000a1d4f7744,\"[{\"\"sku\"\": \"\"SKU-88594\"\", \"\"qty\"\": 3, \"\"price\"\": 235.35}, {\"\"sku\"\": \"\"SKU-18567\"\", \"\"qty\"\": 4, \"\"price\"\": 150.13}, {\",paypal,1958.34,96.97,2026-01-07T13:51:26.838975,742.44,TXN-94273766\r\n1fda9b96-679b-4609-9cb3-ed3a593ec4fa,\"[{\"\"sku\"\": \"\"SKU-79958\"\", \"\"qty\"\": 4, \"\"price\"\": 360.91}, {\"\"sku\"\": \"\"SKU-10817\"\", \"\"qty\"\": 1, \"\"price\"\": 162.91}]\",apple_pay,1973.64,63.95,2026-01-07T13:51:26.839044,1436.79,TXN-91097399\r\n7a04b941-9bb9-448b-9c1b-9def668658cc,\"[{\"\"sku\"\": \"\"SKU-98459\"\", \"\"qty\"\": 3, \"\"price\"\": 489.56}, {\"\"sku\"\": \"\"SKU-59276\"\", \"\"qty\"\": 4, \"\"price\"\": 271.5}]\",paypal,1582.95,92.26,2026-01-07T13:51:26.839081,1227.49,TXN-33338045\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2022</period>\n<total_revenue>9138741</total_revenue>\n<units_sold>89798</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>1234153</revenue>\n<growth>40.64</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>991509</revenue>\n<growth>-4.15</growth>\n</channels>\n<top_products>\n<sku>SKU-9585</sku>\n<sales>30234</sales>\n</top_products>\n<top_products>\n<sku>SKU-8072</sku>\n<sales>57362</sales>\n</top_products>\n<top_products>\n<sku>SKU-4011</sku>\n<sales>249730</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-246302\"\ntitle = \"Effect of successful on at\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 21.88\nendpoint = 97.82\np_value = 0.1982\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 25.25\nendpoint = 44.71\np_value = 0.4702\n\n[methodology]\ndesign = \"observational\"\nsample_size = 771\nduration_days = 246\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate api specification data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/real_get_parameters,paths_/real_get_responses_200_description,paths_/real_get_responses_400_description,paths_/real_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Configurable optimizing Local Area Network API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Write my result movement capital manage.,,,,\r\nBetter leave energy but offer store thing. Impact natural floor investment question he staff. Intere,\"[{\"\"name\"\": \"\"Joseph Novak\"\", \"\"affiliation\"\": \"\"Hall-Tucker\"\", \"\"email\"\": \"\"melinda28@example.com\"\"}, {\"\"name\"\": \",312,None,,,\"[\"\"now\"\", \"\"street\"\", \"\"certainly\"\", \"\"management\"\"]\",,arXiv:2024.84031,,,,,10.4951/vsWi,Science,2024,Synchronized upward-trending archive\r\n\"Pick consider pressure term opportunity fill again.\nNorth since city concern cup. Decade real worry \",\"[{\"\"name\"\": \"\"Thomas Johnson\"\", \"\"affiliation\"\": \"\"Wells, Fischer and Brock\"\", \"\"email\"\": \"\"uturner@example.com\",342,None,,,\"[\"\"section\"\", \"\"ask\"\", \"\"fine\"\", \"\"western\"\"]\",,arXiv:2024.13681,,,,,10.4729/dlsz,Science,2023,Cloned context-sensitive encoding\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-29576154</post_id>\n<platform>instagram</platform>\n<user_id>b3774d2a-dced-4164-bd7b-7d043d7ec920</user_id>\n<username>boydkaren</username>\n<content>Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.</content>\n<timestamp>2026-01-07T13:51:27.160344</timestamp>\n<hashtags>#involve</hashtags>\n<hashtags>#fact</hashtags>\n<hashtags>#rest</hashtags>\n<engagement>\n<likes>923</likes>\n<shares>56</shares>\n<comments>396</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-29576154\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"b3774d2a-dced-4164-bd7b-7d043d7ec920\",\n  \"username\": \"boydkaren\",\n  \"content\": \"Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.\",\n  \"timestamp\": \"2026-01-07T13:51:27.160344\",\n  \"hashtags\": [\n    \"#involve\",\n    \"#fact\",\n    \"#rest\"\n  ],\n  \"engagement\": {\n    \"likes\": 923,\n    \"shares\": 56,\n    \"comments\": 396\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-246302\ntitle: Effect of successful on at\nmethodology:\n  design: observational\n  sample_size: 771\n  duration_days: 246\nresults:\n- metric: safety\n  baseline: 21.88\n  endpoint: 97.82\n  p_value: 0.1982\n- metric: efficacy\n  baseline: 25.25\n  endpoint: 44.71\n  p_value: 0.4702\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-123472\nparties:\n- name: Palmer-White\n  role: party_a\n- name: Rodriguez-Moore\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 59\nvalue: 388976\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Business-focused zero administration encryption API\"\nversion = \"1.0.0\"\n\n[paths.\"/teach\".get]\nsummary = \"Government trade direction personal reason hundred\"\n[[paths.\"/teach\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/teach\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/teach\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/teach\".get.responses.400]\ndescription = \"Bad Request\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Business-focused zero administration encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</teach>\n<get>\n<summary>Government trade direction personal reason hundred</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//teach>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-6058191\npatient_mrn: MRN-113920\norder_date: '2026-01-03'\npanel: CMP\nresults:\n- test: Glucose\n  value: 139.6\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 71.4\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 178.7\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 146.7\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 91.7\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 185.9\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 61.2\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-306159\nstudent_id: STU-646612\ncourse_id: CRS-3961\ntype: quiz\ndate: '2026-01-05'\nscores:\n- question: 1\n  points_earned: 4\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 9\n  points_possible: 10\n- question: 4\n  points_earned: 10\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 5\n  points_possible: 10\n- question: 8\n  points_earned: 10\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\n- question: 10\n  points_earned: 5\n  points_possible: 10\ntotal_score: 58\npercentage: 63.02\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-577861\",\n  \"student_id\": \"STU-664280\",\n  \"course_id\": \"CRS-8099\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 52,\n  \"percentage\": 81.98,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-554535,,CRS-9992,,2026-01-03,B,,,,,63.99,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 9, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-693793,,,86,exam\r\n,ROE204,CRS-5810,3,,,40,30,30,Tyler Rogers,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"every\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"imagine\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"for\"\"}, {\"\"week\",,,Fall 2024,Balanced intangible policy 101,,\r\n,OKZ405,CRS-9934,4,,,40,30,30,Michael Cannon,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"report\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"street\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"modern\"\"}, {\"\"w\",,,Fall 2022,Multi-tiered dynamic function 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nGDK183,CRS-6873,3,40,30,30,Melinda Thompson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"girl\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"explain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"center\"\"}, {\"\"we\",Fall 2020,Grass-roots 24/7 emulation 101\r\nGNF274,CRS-5383,3,40,30,30,Debra Kane,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"support\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"society\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"environment\",Spring 2024,Realigned tertiary data-warehouse 101\r\nFDD462,CRS-5811,4,40,30,30,Sarah Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"capital\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"off\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"final\"\"}, {\"\"week\",Spring 2020,Reverse-engineered grid-enabled monitoring 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following CSV to XML:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nFAH301,CRS-2063,4,40,30,30,Aaron Bailey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"health\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"buy\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"conference\"\"}, {\"\"\",Fall 2023,Ameliorated zero administration productivity 101\r\nWGM196,CRS-9159,3,40,30,30,Kim Kelley,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"so\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"claim\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"happen\"\"}, {\"\"week\"\":\",Fall 2024,Configurable coherent strategy 101\r\nSKE322,CRS-7814,4,40,30,30,James Bell,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"base\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"usually\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"money\"\"}, {\"\"wee\",Spring 2023,Streamlined multi-tasking function 101\r\nDCJ343,CRS-1918,4,40,30,30,Katherine Pugh,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"garden\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"debate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"pressure\"\"}, {\",Spring 2021,Open-architected national flexibility 101\r\nEUN261,CRS-4802,4,40,30,30,Shane Chandler,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"job\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"community\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"necessary\"\"}, \",Fall 2024,Future-proofed discrete monitoring 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2063</course_id>\n<code>FAH301</code>\n<title>Ameliorated zero administration productivity 101</title>\n<instructor>Aaron Bailey</instructor>\n<credits>4</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>health</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>buy</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>conference</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>late</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>fear</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>control</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>social</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-778333,2026-01-05,\"[{\"\"name\"\": \"\"Bowen Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Richardson and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,34,228209\r\nCTR-927998,2026-01-04,\"[{\"\"name\"\": \"\"Valentine, Wilkinson and Mooney\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson-Santiago\"\", \"\"role\"\"\",executed,18,387494\r\nCTR-744501,2026-01-01,\"[{\"\"name\"\": \"\"Brown-Gordon\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Travis, Mccarty and Barrett\"\", \"\"role\"\": \"\"party\",pending,41,267030\r\nCTR-345463,2026-01-01,\"[{\"\"name\"\": \"\"Schroeder Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lewis Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,59,41171\r\nCTR-744558,2026-01-01,\"[{\"\"name\"\": \"\"Garner-Arnold\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hall-Mills\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,21,937639\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-503362</assessment_id>\n<student_id>STU-235214</student_id>\n<course_id>CRS-9952</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>52</total_score>\n<percentage>94.35</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-503362\",\n  \"student_id\": \"STU-235214\",\n  \"course_id\": \"CRS-9952\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 52,\n  \"percentage\": 94.35,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-41210216\"\ncustomer_id = \"59380938-357c-4ae5-aa88-2ceb1bc7b532\"\ntimestamp = \"2026-01-06T09:43:32.112469\"\nsubtotal = 1105.52\ntax = 160.6\ntotal = 2044.99\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-36180\"\nqty = 2\nprice = 233.08\n\n[[items]]\nsku = \"SKU-30422\"\nqty = 5\nprice = 50.84\n\n[[items]]\nsku = \"SKU-10244\"\nqty = 5\nprice = 169.41\n\n[[items]]\nsku = \"SKU-94336\"\nqty = 1\nprice = 99.26\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Assimilated neutral archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/sea\": {\n      \"get\": {\n        \"summary\": \"Team happen challenge address expert manage beyond\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Assimilated neutral archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</sea>\n<get>\n<summary>Team happen challenge address expert manage beyond</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sea>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3941350</result_id>\n<patient_mrn>MRN-739958</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>134.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>188.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>117.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>159.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.5</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-550309\ntitle: Effect of month on four\nmethodology:\n  design: RCT\n  sample_size: 169\n  duration_days: 180\nresults:\n- metric: safety\n  baseline: 21.67\n  endpoint: 48.73\n  p_value: 0.0983\n- metric: safety\n  baseline: 85.54\n  endpoint: 80.94\n  p_value: 0.1421\n- metric: efficacy\n  baseline: 99.69\n  endpoint: 81.8\n  p_value: 0.1514\n- metric: safety\n  baseline: 98.77\n  endpoint: 47.12\n  p_value: 0.0017\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-8075236\nproduct_id: PROD-326180\nuser_id: e70c9373-b1ad-41a5-8939-e3c28041d8f5\nrating: 4\ntitle: Most teacher Mrs system watch.\ncontent: 'Address music major. Magazine three about. Security ready result improve.\n\n  Hand other collection name wife remain. Speech perhaps newspaper. Talk place third\n  about writer billion physical.'\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 50\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\npaper_id = \"arXiv:2023.67735\"\ntitle = \"Optimized even-keeled conglomeration\"\nabstract = \"Sort suffer stand purpose six resource. Forward hard officer film the word human first.\"\nkeywords = [ \"attack\", \"not\", \"describe\",]\ncitations = 172\nfunding_source = \"Wood, Baldwin and Cain\"\n[[authors]]\nname = \"Garrett Contreras\"\naffiliation = \"Drake-Dunn\"\nemail = \"sandrapineda@example.net\"\n\n[[authors]]\nname = \"Ryan Bell\"\naffiliation = \"Ramos, Gates and Reed\"\nemail = \"kdavis@example.net\"\n\n[[authors]]\nname = \"Cindy Silva\"\naffiliation = \"Bryant, Pratt and Henderson\"\nemail = \"fmiller@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2024\ndoi = \"10.7544/lKSL\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.67735</paper_id>\n<title>Optimized even-keeled conglomeration</title>\n<authors>\n<name>Garrett Contreras</name>\n<affiliation>Drake-Dunn</affiliation>\n<email>sandrapineda@example.net</email>\n</authors>\n<authors>\n<name>Ryan Bell</name>\n<affiliation>Ramos, Gates and Reed</affiliation>\n<email>kdavis@example.net</email>\n</authors>\n<authors>\n<name>Cindy Silva</name>\n<affiliation>Bryant, Pratt and Henderson</affiliation>\n<email>fmiller@example.net</email>\n</authors>\n<abstract>Sort suffer stand purpose six resource. Forward hard officer film the word human first.</abstract>\n<keywords>attack</keywords>\n<keywords>not</keywords>\n<keywords>describe</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.7544/lKSL</doi>\n</publication>\n<citations>172</citations>\n<funding_source>Wood, Baldwin and Cain</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"March 2022\"\ntotal_revenue = 1929763\nunits_sold = 49768\n[[channels]]\nname = \"wholesale\"\nrevenue = 3802336\ngrowth = 0.28\n\n[[channels]]\nname = \"retail\"\nrevenue = 1345600\ngrowth = 45.3\n\n[[top_products]]\nsku = \"SKU-8343\"\nsales = 268519\n\n[[top_products]]\nsku = \"SKU-3928\"\nsales = 438065\n\n[[top_products]]\nsku = \"SKU-3005\"\nsales = 455073\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.67497\",\n  \"title\": \"Open-architected logistical paradigm\",\n  \"authors\": [\n    {\n      \"name\": \"William Martin\",\n      \"affiliation\": \"George, Nichols and Johnston\",\n      \"email\": \"crystal73@example.org\"\n    },\n    {\n      \"name\": \"Thomas Boyer\",\n      \"affiliation\": \"Powers, Miller and Johnston\",\n      \"email\": \"xhardin@example.com\"\n    },\n    {\n      \"name\": \"Tanner Coffey\",\n      \"affiliation\": \"Perez, Marks and Thomas\",\n      \"email\": \"tracywilliams@example.com\"\n    }\n  ],\n  \"abstract\": \"Yes eat up himself consumer. Technology just debate bill live oil.\",\n  \"keywords\": [\n    \"each\",\n    \"on\",\n    \"perhaps\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.2923/Xnio\"\n  },\n  \"citations\": 265,\n  \"funding_source\": \"Smith Ltd\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Visionary eco-centric methodology API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/edge\": {\n      \"get\": {\n        \"summary\": \"Simple really social range.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Visionary eco-centric methodology API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</edge>\n<get>\n<summary>Simple really social range.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//edge>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\ncompany = \"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"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Ortega-Owens\nticker: YLLB\nquarter: Q3 2022\nrevenue: 37598920\nexpenses: 44591506\nnet_income: 3197580\neps: 1.51\nmetrics:\n  profit_margin: 5.54\n  roe: 6.32\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n626b288f-7bc9-40db-8370-c072e6d11f08,\"[{\"\"sku\"\": \"\"SKU-93439\"\", \"\"qty\"\": 1, \"\"price\"\": 119.65}, {\"\"sku\"\": \"\"SKU-76710\"\", \"\"qty\"\": 3, \"\"price\"\": 124.14}]\",apple_pay,918.1,120.16,2026-01-06T09:43:34.743621,2089.15,TXN-28739587\r\n252b3b03-8624-4cf1-981a-43b1155e3241,\"[{\"\"sku\"\": \"\"SKU-27242\"\", \"\"qty\"\": 3, \"\"price\"\": 274.22}, {\"\"sku\"\": \"\"SKU-60400\"\", \"\"qty\"\": 2, \"\"price\"\": 64.61}, {\"\"\",paypal,948.38,32.18,2026-01-06T09:43:34.745592,622.86,TXN-89383053\r\n2d9e55c8-97ee-431a-990d-eef6543788b0,\"[{\"\"sku\"\": \"\"SKU-98764\"\", \"\"qty\"\": 5, \"\"price\"\": 11.13}, {\"\"sku\"\": \"\"SKU-84585\"\", \"\"qty\"\": 2, \"\"price\"\": 326.6}, {\"\"s\",credit_card,816.57,89.83,2026-01-06T09:43:34.745697,1490.86,TXN-95176657\r\nfa7cc1ab-f3ce-4b40-994e-d0c0565fcbc5,\"[{\"\"sku\"\": \"\"SKU-46474\"\", \"\"qty\"\": 3, \"\"price\"\": 25.09}, {\"\"sku\"\": \"\"SKU-41140\"\", \"\"qty\"\": 4, \"\"price\"\": 414.17}, {\"\"\",apple_pay,374.54,102.04,2026-01-06T09:43:34.745780,1568.47,TXN-48332376\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from CSV to TOML:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,title\r\n,,,7878bb2d-6319-4d97-8924-bd0357b0788d,fe05329e-c851-4258-9b5b-a5822613303b,d3f1548e-3d70-475b-a25a-df504add1be1,,,WARNING,,,,,approachService,\"[\"\"at level.py:451\"\", \"\"at science.py:176\"\", \"\"at art.py:498\"\", \"\"at success.py:287\"\"]\",\r\nOther entire almost now. Point some cover another each relationship later. Knowledge produce stay pl,\"[{\"\"name\"\": \"\"Joseph Rodriguez\"\", \"\"affiliation\"\": \"\"Williams Group\"\", \"\"email\"\": \"\"tonya16@example.org\"\"}, {\"\"na\",281,,,,None,\"[\"\"edge\"\", \"\"whose\"\", \"\"matter\"\"]\",,arXiv:2023.86379,10.7736/MYhz,Nature,2024,,,Reduced 6thgeneration orchestration\r\n\"Put hot generation national happen operation reveal. Not machine guy computer or.\nWish according alm\",\"[{\"\"name\"\": \"\"John Dixon\"\", \"\"affiliation\"\": \"\"Jones, Nguyen and Saunders\"\", \"\"email\"\": \"\"robertsjonathan@examp\",207,,,,\"Morgan, Strickland and Stewart\",\"[\"\"phone\"\", \"\"arrive\"\", \"\"dream\"\", \"\"culture\"\", \"\"fight\"\"]\",,arXiv:2024.82627,10.2986/XYtI,Cell,2023,,,Advanced even-keeled challenge\r\n\"Act single method each budget body change.\nProperty military option animal. Military power developme\",\"[{\"\"name\"\": \"\"Brooke Wilson\"\", \"\"affiliation\"\": \"\"Vang, Hudson and Smith\"\", \"\"email\"\": \"\"andersoncody@example.o\",454,,,,Martinez-Powell,\"[\"\"yet\"\", \"\"nearly\"\", \"\"happen\"\", \"\"owner\"\"]\",,arXiv:2021.77183,10.2819/exiH,Nature,2022,,,Customizable analyzing encryption\r\n\"Admit might recognize. Best plant particularly style later kitchen any.\nCut member identify themselv\",\"[{\"\"name\"\": \"\"Anthony Williams\"\", \"\"affiliation\"\": \"\"Lee LLC\"\", \"\"email\"\": \"\"acrawford@example.net\"\"}, {\"\"name\"\": \",198,,,,None,\"[\"\"ask\"\", \"\"those\"\", \"\"spring\"\"]\",,arXiv:2020.22950,10.1058/ILQY,Cell,2023,,,Up-sized bandwidth-monitored interface\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from CSV to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nservice = \"approachService\"\nstack_trace = [ \"at level.py:451\", \"at science.py:176\", \"at art.py:498\", \"at success.py:287\",]\nlevel = \"WARNING\"\nerror_id = \"d3f1548e-3d70-475b-a25a-df504add1be1\"\n\n[context]\nuser_id = \"fe05329e-c851-4258-9b5b-a5822613303b\"\nrequest_id = \"7878bb2d-6319-4d97-8924-bd0357b0788d\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2804449</note_id>\n<patient>\n<mrn>MRN-394213</mrn>\n<age>73</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>162/64</bp>\n<hr>70</hr>\n<temp_f>102.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-818679</experiment_id>\n<title>Effect of begin on task</title>\n<methodology>\n<design>RCT</design>\n<sample_size>180</sample_size>\n<duration_days>157</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>17.77</baseline>\n<endpoint>32.37</endpoint>\n<p_value>0.477</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>20.98</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.2984</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.67669\",\n  \"title\": \"Triple-buffered dedicated knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Julie Mclaughlin\",\n      \"affiliation\": \"Andrews Group\",\n      \"email\": \"brianna81@example.org\"\n    },\n    {\n      \"name\": \"Peggy Kramer\",\n      \"affiliation\": \"Beasley, Edwards and Webb\",\n      \"email\": \"susan35@example.com\"\n    }\n  ],\n  \"abstract\": \"Account fish possible democratic ok no. Accept short mention guy.\\nPlace finish religious mean end success. Travel into music they.\",\n  \"keywords\": [\n    \"thank\",\n    \"far\",\n    \"fund\",\n    \"get\",\n    \"role\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1349/JgWc\"\n  },\n  \"citations\": 60,\n  \"funding_source\": \"Diaz-Salinas\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.31964</paper_id>\n<title>Optimized solution-oriented success</title>\n<authors>\n<name>Meagan Sutton</name>\n<affiliation>Williamson, Mitchell and Smith</affiliation>\n<email>davilabridget@example.com</email>\n</authors>\n<authors>\n<name>William Gross</name>\n<affiliation>Miller and Sons</affiliation>\n<email>linda03@example.net</email>\n</authors>\n<abstract>Price while never. Night great must well remain. Share less reveal often.</abstract>\n<keywords>less</keywords>\n<keywords>radio</keywords>\n<keywords>spend</keywords>\n<keywords>which</keywords>\n<publication>\n<venue>Science</venue>\n<year>2023</year>\n<doi>10.4651/vEqE</doi>\n</publication>\n<citations>155</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-8316023\npatient:\n  mrn: MRN-627076\n  age: 50\n  gender: F\nencounter_date: '2026-01-03'\nchief_complaint: chest pain\nvitals:\n  bp: 122/77\n  hr: 97\n  temp_f: 98.4\nassessment:\n- problem: diabetes\n  icd10: I65\n- problem: hypertension\n  icd10: K11\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need customer review details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-6442921\nproduct_id: PROD-654085\nuser_id: 90c99929-3023-421e-b2f5-e17f6e920974\nrating: 1\ntitle: Require star act everyone and others.\ncontent: 'Want respond full. Real answer fall hair. Writer yeah mother feel finally\n  popular real.\n\n  Might action start light may. Let serious wear as attention serve mean. Early response\n  impact return order.'\ndate: '2026-01-02'\nverified_purchase: true\nhelpful_votes: 14\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>6503980</total_revenue>\n<units_sold>7670</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3279241</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1469640</revenue>\n<growth>16.07</growth>\n</channels>\n<top_products>\n<sku>SKU-8081</sku>\n<sales>71747</sales>\n</top_products>\n<top_products>\n<sku>SKU-8211</sku>\n<sales>475825</sales>\n</top_products>\n<top_products>\n<sku>SKU-4565</sku>\n<sales>485553</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 6503980,\n  \"units_sold\": 7670,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3279241,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1469640,\n      \"growth\": 16.07\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8081\",\n      \"sales\": 71747\n    },\n    {\n      \"sku\": \"SKU-8211\",\n      \"sales\": 475825\n    },\n    {\n      \"sku\": \"SKU-4565\",\n      \"sales\": 485553\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<patient_mrn>MRN-119365</patient_mrn>\n<order_date>2026-01-05</order_date>\n<results>\n<test>Glucose</test>\n<value>134.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>69.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>85.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>69.6</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>79.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"patient_mrn\": \"MRN-119365\",\n  \"order_date\": \"2026-01-05\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 134.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 69.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 85.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 69.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 79.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Assimilated neutral archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/sea\": {\n      \"get\": {\n        \"summary\": \"Team happen challenge address expert manage beyond\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-139463\ntitle: Effect of quite on arm\nmethodology:\n  design: RCT\n  sample_size: 371\n  duration_days: 284\nresults:\n- metric: safety\n  baseline: 91.61\n  endpoint: 76.9\n  p_value: 0.4003\n- metric: safety\n  baseline: 58.96\n  endpoint: 23.83\n  p_value: 0.3437\n- metric: safety\n  baseline: 23.31\n  endpoint: 88.63\n  p_value: 0.3018\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint = \"chest pain\"\nnote_id = \"CN-8407617\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I85\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I71\"\n\n[patient]\nmrn = \"MRN-133492\"\nage = 88\ngender = \"M\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Nichols, Ferguson and Butler\",3.2,26562838,27.93,5.96,16784469,Q1 2022,39470251,NDVN\r\nSmith-Butler,6.38,5773848,12.47,7.16,5911317,Q2 2024,58381133,NZVM\r\n\"Lewis, Schneider and Vasquez\",2.13,47941753,18.93,17.23,235510,Q4 2020,14343287,OWPK\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title,top_products,total_revenue\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 2139770, \"\"growth\"\": -9.99}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 1809716, \"\"gr\",,,,,,,,,\"[{\"\"sku\"\": \"\"SKU-3049\"\", \"\"sales\"\": 22854}, {\"\"sku\"\": \"\"SKU-5505\"\", \"\"sales\"\": 203281}, {\"\"sku\"\": \"\"SKU-9853\"\", \"\"sal\",6798538\r\nDuring street next across over recognize few analysis. Never level television subject this street ta,\"[{\"\"name\"\": \"\"Brendan Kidd\"\", \"\"affiliation\"\": \"\"Lucero-Watkins\"\", \"\"email\"\": \"\"mnielsen@example.net\"\"}, {\"\"name\"\"\",,500,None,\"[\"\"which\"\", \"\"involve\"\", \"\"man\"\"]\",arXiv:2024.56940,10.6475/mvhp,Science,2024,Ameliorated mission-critical contingency,,\r\nCourse ok work class. Without way effect model campaign than serious. Position price husband clear e,\"[{\"\"name\"\": \"\"Brian Henry\"\", \"\"affiliation\"\": \"\"Brown Group\"\", \"\"email\"\": \"\"barberjason@example.org\"\"}, {\"\"name\"\":\",,196,Robertson Ltd,\"[\"\"increase\"\", \"\"president\"\", \"\"summer\"\", \"\"down\"\"]\",arXiv:2022.62603,10.3958/SLjb,Cell,2024,Self-enabling regional solution,,\r\nSchool goal discuss food including. Pm view their foreign range mission news read. Event wear great ,\"[{\"\"name\"\": \"\"Maria Bell\"\", \"\"affiliation\"\": \"\"Stewart, Suarez and Cruz\"\", \"\"email\"\": \"\"billy19@example.net\"\"}, \",,409,None,\"[\"\"land\"\", \"\"my\"\", \"\"international\"\", \"\"possible\"\", \"\"truth\"\"]\",arXiv:2024.83113,10.6971/qmzs,Cell,2021,Configurable asynchronous migration,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5796495</result_id>\n<patient_mrn>MRN-496025</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>74.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>68.3</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>121.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5796495\",\n  \"patient_mrn\": \"MRN-496025\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 68.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 121.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Multi-tiered directional knowledge user API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</require>\n<get>\n<summary>Suffer kid pull bed decision rest.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//require>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9878120\npatient_mrn: MRN-230554\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 143.6\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 132.9\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 179.0\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 81.2\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 74.4\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 111.8\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 117.1\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-948175</assessment_id>\n<student_id>STU-160858</student_id>\n<course_id>CRS-5368</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>96.29</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-948175\",\n  \"student_id\": \"STU-160858\",\n  \"course_id\": \"CRS-5368\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 96.29,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6290982\npatient:\n  mrn: MRN-953513\n  age: 44\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: fever\nvitals:\n  bp: 125/106\n  hr: 91\n  temp_f: 100.5\nassessment:\n- problem: diabetes\n  icd10: J43\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Intuitive disintermediate website API\"\nversion = \"1.0.0\"\n\n[paths.\"/reality\".get]\nsummary = \"Activity public whole paper there relationship tas\"\n[[paths.\"/reality\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/reality\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/reality\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/reality\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4493327</note_id>\n<patient>\n<mrn>MRN-934301</mrn>\n<age>62</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>141/91</bp>\n<hr>100</hr>\n<temp_f>98.5</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nverified_purchase: true\ncontent: Check just listen account choose down. It walk national stock protect hot.\n  Study consumer professor choose someone nature country. Effort each speech range\n  style low thing remain.\nreview_id: REV-8799840\ndate: '2026-01-04'\ntitle: Drop rest for lay help.\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Seamless disintermediate flexibility API\"\nversion = \"1.0.0\"\n\n[paths.\"/significant\".get]\nsummary = \"Box project skin day catch.\"\n[[paths.\"/significant\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/significant\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/significant\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-4466987\",\n  \"patient\": {\n    \"mrn\": \"MRN-766590\",\n    \"age\": 87,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"147/66\",\n    \"hr\": 72,\n    \"temp_f\": 101.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K25\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output clinical note as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-9700442\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K11\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J94\"\n\n[patient]\nmrn = \"MRN-460621\"\nage = 77\ngender = \"M\"\n\n[vitals]\nbp = \"105/88\"\nhr = 64\ntemp_f = 99.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-8547425\nheadline: Ergonomic didactic hierarchy\nauthor: Ronald Stuart\npublished: '2026-01-04T09:09:33.640608'\nsection: Tech\ncontent: 'Kid skin community its though avoid can.\n\n  Ahead wall investment white. Series social decide agency others lay. Tend step husband\n  place let where.\n\n  Turn apply nothing everybody certain see. American six ten senior laugh. Bad put\n  compare another catch tough behind.'\ntags:\n- sea\n- everyone\n- national\n- once\nviews: 85510\nshares: 1196\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-5383313\",\n  \"patient_mrn\": \"MRN-584871\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 194.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 67.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 195.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 146.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 119.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5383313</result_id>\n<patient_mrn>MRN-584871</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>194.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>67.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>195.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>146.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>119.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output error log as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"2d978d26-6fd7-4641-b202-43ebc0760711\"\ntimestamp = \"2026-01-07T13:51:26.663970\"\nlevel = \"WARNING\"\nservice = \"someoneService\"\nmessage = \"Inside live none value unit Republican black.\"\nstack_trace = [ \"at role.py:276\", \"at loss.py:371\",]\n\n[context]\nuser_id = \"26f1b94c-c76e-47ab-9121-a3f8ec11053f\"\nrequest_id = \"ce096dca-f53f-40bf-822d-ed29d8ca8dd9\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-139463</experiment_id>\n<title>Effect of quite on arm</title>\n<methodology>\n<design>RCT</design>\n<sample_size>371</sample_size>\n<duration_days>284</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>91.61</baseline>\n<endpoint>76.9</endpoint>\n<p_value>0.4003</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>58.96</baseline>\n<endpoint>23.83</endpoint>\n<p_value>0.3437</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>23.31</baseline>\n<endpoint>88.63</endpoint>\n<p_value>0.3018</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\npaper_id: arXiv:2023.57642\ntitle: Organized clear-thinking projection\nauthors:\n- name: Thomas Harrison\n  affiliation: Benjamin, Peterson and James\n  email: martinjoseph@example.com\n- name: Samantha Phillips\n  affiliation: Carpenter Ltd\n  email: hawkinssarah@example.com\nabstract: 'Leg third those over. Almost state money hear condition little.\n\n  Manager minute writer manager. Walk hand situation similar media back fill huge.'\nkeywords:\n- decade\n- kitchen\n- discover\n- wide\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.5371/HWME\ncitations: 306\nfunding_source: null\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2023.57642\"\ntitle = \"Organized clear-thinking projection\"\nabstract = \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\"\nkeywords = [ \"decade\", \"kitchen\", \"discover\", \"wide\",]\ncitations = 306\n[[authors]]\nname = \"Thomas Harrison\"\naffiliation = \"Benjamin, Peterson and James\"\nemail = \"martinjoseph@example.com\"\n\n[[authors]]\nname = \"Samantha Phillips\"\naffiliation = \"Carpenter Ltd\"\nemail = \"hawkinssarah@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.5371/HWME\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-3836429\",\n  \"product_id\": \"PROD-852988\",\n  \"user_id\": \"39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0\",\n  \"rating\": 2,\n  \"title\": \"Report thus get describe identify.\",\n  \"content\": \"Or dog never any center population. Program it they Republican over step. Who television finish true game.\\nList catch candidate west research. Meeting many imagine.\",\n  \"date\": \"2026-01-01\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 23\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3836429</review_id>\n<product_id>PROD-852988</product_id>\n<user_id>39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0</user_id>\n<rating>2</rating>\n<title>Report thus get describe identify.</title>\n<content>Or dog never any center population. Program it they Republican over step. Who television finish true game.\nList catch candidate west research. Meeting many imagine.</content>\n<date>2026-01-01</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>23</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2021\"\ntotal_revenue = 9217350\nunits_sold = 88369\n[[channels]]\nname = \"wholesale\"\nrevenue = 288160\ngrowth = 7.61\n\n[[channels]]\nname = \"online\"\nrevenue = 972482\ngrowth = 14.48\n\n[[top_products]]\nsku = \"SKU-7895\"\nsales = 260304\n\n[[top_products]]\nsku = \"SKU-7548\"\nsales = 56782\n\n[[top_products]]\nsku = \"SKU-9159\"\nsales = 56666\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"error_id\": \"91d16731-5e7b-4a47-8285-7a54d79d3b76\",\n  \"timestamp\": \"2026-01-07T13:51:25.635487\",\n  \"level\": \"WARNING\",\n  \"service\": \"AmericanService\",\n  \"message\": \"Drug sell certainly major total.\",\n  \"stack_trace\": [\n    \"at although.py:151\",\n    \"at mission.py:443\"\n  ],\n  \"context\": {\n    \"user_id\": \"11d85442-7276-4e30-9249-06df8089bd39\",\n    \"request_id\": \"f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>91d16731-5e7b-4a47-8285-7a54d79d3b76</error_id>\n<timestamp>2026-01-07T13:51:25.635487</timestamp>\n<level>WARNING</level>\n<service>AmericanService</service>\n<message>Drug sell certainly major total.</message>\n<stack_trace>at although.py:151</stack_trace>\n<stack_trace>at mission.py:443</stack_trace>\n<context>\n<user_id>11d85442-7276-4e30-9249-06df8089bd39</user_id>\n<request_id>f3cc0b9c-f4db-4c9d-bea8-f49774b1a7e6</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\narticle_id = \"ART-7317178\"\nheadline = \"Sharable 5thgeneration framework\"\nauthor = \"Judy Garner\"\npublished = \"2026-01-07T07:35:28.380949\"\nsection = \"Politics\"\ncontent = \"Cover whole myself late last month authority. Make away choose difficult.\\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.\"\ntags = [ \"cover\", \"people\", \"available\", \"above\", \"service\",]\nviews = 84087\nshares = 2480\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-7317178</article_id>\n<headline>Sharable 5thgeneration framework</headline>\n<author>Judy Garner</author>\n<published>2026-01-07T07:35:28.380949</published>\n<section>Politics</section>\n<content>Cover whole myself late last month authority. Make away choose difficult.\nShoulder so support like let increase improve movie. Gun career hair necessary improve operation detail.</content>\n<tags>cover</tags>\n<tags>people</tags>\n<tags>available</tags>\n<tags>above</tags>\n<tags>service</tags>\n<views>84087</views>\n<shares>2480</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1417017</review_id>\n<product_id>PROD-561113</product_id>\n<user_id>58368812-841f-4b65-a63f-bf59f81a4b62</user_id>\n<rating>2</rating>\n<title>Miss entire student source like impact.</title>\n<content>Particularly myself court bring vote business boy lawyer. Economy name wonder thank a charge. Successful value site thus. Exist election about task reason.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>17</helpful_votes>\n</customer_review>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-1417017\nproduct_id: PROD-561113\nuser_id: 58368812-841f-4b65-a63f-bf59f81a4b62\nrating: 2\ntitle: Miss entire student source like impact.\ncontent: Particularly myself court bring vote business boy lawyer. Economy name wonder\n  thank a charge. Successful value site thus. Exist election about task reason.\ndate: '2026-01-04'\nverified_purchase: false\nhelpful_votes: 17\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-896633\nparties:\n- name: Smith-Cross\n  role: party_a\n- name: Carrillo and Sons\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 21\nvalue: 926875\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-2388619,Paula Martinez,Choice list strong let reason. Education class ok front impact successful. Huge professor happen dat,Switchable tertiary collaboration,2026-01-07T02:15:35.006278,Politics,1794,\"[\"\"hair\"\", \"\"democratic\"\", \"\"financial\"\", \"\"huge\"\", \"\"available\"\"]\",74003\r\nART-8369767,Mark Marshall,Describe food tree perhaps particular. Garden TV decade daughter over. Fight color culture political,User-centric encompassing capacity,2026-01-03T10:01:34.253370,Business,107,\"[\"\"size\"\", \"\"when\"\", \"\"important\"\"]\",53618\r\nART-4531966,Mark Rice,\"Budget prevent red suggest. Project take bill service weight ahead.\nNetwork region everyone view. Of\",Pre-emptive solution-oriented focus group,2026-01-05T02:15:33.275235,Business,4518,\"[\"\"them\"\", \"\"play\"\", \"\"success\"\", \"\"product\"\"]\",84715\r\nART-1261179,James Roach,Summer matter especially also. Measure office such allow everything behavior include. Stand beat rad,Enhanced multimedia ability,2026-01-07T12:07:54.350837,Tech,4893,\"[\"\"mention\"\", \"\"son\"\", \"\"politics\"\"]\",2417\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-160417,cohort,354,663,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 13.92, \"\"endpoint\"\": 49.07, \"\"p_value\"\": 0.4102}, {\"\"metric\"\": \"\"safety\"\",\",Effect of agree on both\r\nsignificant,EXP-890740,observational,157,229,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 57.73, \"\"endpoint\"\": 75.47, \"\"p_value\"\": 0.495}, {\"\"metric\"\": \"\"efficac\",Effect of Democrat on success\r\nnon-significant,EXP-254862,RCT,86,504,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 30.68, \"\"endpoint\"\": 65.63, \"\"p_value\"\": 0.226}, {\"\"metric\"\": \"\"safety\"\", \",Effect of floor on great\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,CBC,MRN-953048,LAB-5956795,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 138.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-02,CBC,MRN-454328,LAB-3153618,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 194.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 69\"\r\n2026-01-02,Lipid,MRN-894393,LAB-4367493,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 95.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 16\"\r\n2026-01-06,Lipid,MRN-485637,LAB-6936282,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 124.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 183.8\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,conclusion,funding_source,keywords,methodology_design,methodology_duration_days,methodology_sample_size,paper_id,publication_doi,publication_venue,publication_year,results,title\r\n,,,non-significant,,,observational,339,351,,,,,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 40.85, \"\"endpoint\"\": 40.08, \"\"p_value\"\": 0.4196}, {\"\"metric\"\": \"\"effica\",\r\nWhose natural especially now mean way goal wonder. Animal base Mr back contain husband. Change hour ,\"[{\"\"name\"\": \"\"Erin Thomas\"\", \"\"affiliation\"\": \"\"Adams-Cole\"\", \"\"email\"\": \"\"emily81@example.net\"\"}, {\"\"name\"\": \"\"Ang\",490,,Stone PLC,\"[\"\"mission\"\", \"\"role\"\", \"\"home\"\", \"\"wear\"\"]\",,,,arXiv:2021.61490,10.4286/HZxn,Science,2021,,Quality-focused human-resource standardization\r\nDo purpose something strategy teacher whom. Wait history technology left suddenly some past. Arrive ,\"[{\"\"name\"\": \"\"Stanley Raymond\"\", \"\"affiliation\"\": \"\"Elliott Inc\"\", \"\"email\"\": \"\"masonpatricia@example.org\"\"}, {\"\"\",411,,Christensen Inc,\"[\"\"fly\"\", \"\"rule\"\", \"\"instead\"\", \"\"strong\"\", \"\"race\"\"]\",,,,arXiv:2023.31744,10.3873/VGcR,Cell,2023,,Cross-platform even-keeled emulation\r\nFollow beautiful interest yes. Feeling husband story either who. Ask so beat together enough speak s,\"[{\"\"name\"\": \"\"Anthony Mendoza\"\", \"\"affiliation\"\": \"\"Hess, Baker and Sherman\"\", \"\"email\"\": \"\"amyers@example.org\"\"\",10,,\"Schaefer, Reid and Forbes\",\"[\"\"garden\"\", \"\"treat\"\", \"\"buy\"\"]\",,,,arXiv:2020.51960,10.6886/PBmZ,Nature,2024,,Proactive motivating capacity\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"subtotal\": 1655.93,\n  \"items\": [\n    {\n      \"sku\": \"SKU-62708\",\n      \"qty\": 3,\n      \"price\": 121.39\n    }\n  ],\n  \"tax\": 19.12,\n  \"total\": 1424.63\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output prescription as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-3684509\",\n  \"patient_mrn\": \"MRN-644382\",\n  \"prescriber\": \"Chelsea Henson\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 2472943,\n  \"units_sold\": 2053,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3703587,\n      \"growth\": 38.49\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3200920,\n      \"growth\": -8.82\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8959\",\n      \"sales\": 220308\n    },\n    {\n      \"sku\": \"SKU-7189\",\n      \"sales\": 206126\n    },\n    {\n      \"sku\": \"SKU-5359\",\n      \"sales\": 225947\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>2472943</total_revenue>\n<units_sold>2053</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3703587</revenue>\n<growth>38.49</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3200920</revenue>\n<growth>-8.82</growth>\n</channels>\n<top_products>\n<sku>SKU-8959</sku>\n<sales>220308</sales>\n</top_products>\n<top_products>\n<sku>SKU-7189</sku>\n<sales>206126</sales>\n</top_products>\n<top_products>\n<sku>SKU-5359</sku>\n<sales>225947</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5305677\"\npatient_mrn = \"MRN-215469\"\nprescriber = \"Jeremy Hatfield\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Taylor Ltd\nticker: AOED\nquarter: Q1 2024\nrevenue: 69752271\nexpenses: 52626087\nnet_income: 18580243\neps: 1.63\nmetrics:\n  profit_margin: 23.4\n  roe: 21.22\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nDiscussion including her player fight note war. Material computer on compare gun building. Strategy ,462,1248,245,\"[\"\"#executive\"\", \"\"#manager\"\", \"\"#necessary\"\", \"\"#rest\"\"]\",twitter,POST-86762474,2026-01-06T09:43:31.329433,6af43c9c-3a24-4722-b40f-e00a4c50e92f,youngjared\r\nHigh base property civil star eight side. Herself common enjoy right. White serve term improve finis,231,5497,610,\"[\"\"#fact\"\", \"\"#trip\"\", \"\"#since\"\", \"\"#less\"\"]\",instagram,POST-60696678,2026-01-06T09:43:31.331670,eaea02a8-8bc0-449c-bb2c-8b292c34d5e4,aprilromero\r\n\"Task leg fly safe culture floor. Project get water recent. Deal fight increase yourself.\nArgue book \",296,130,25,\"[\"\"#small\"\", \"\"#hot\"\", \"\"#carry\"\"]\",twitter,POST-44091101,2026-01-06T09:43:31.332298,f4a41628-3bc6-4d33-8c9f-31c21b3af596,zsanchez\r\nSomeone hotel movie protect team information billion. Space look finally. Party program various thir,309,8707,438,\"[\"\"#know\"\", \"\"#everyone\"\"]\",facebook,POST-54185359,2026-01-06T09:43:31.332927,68793e1e-bba4-46c6-9ae3-1556e7b4a6ce,garciamichelle\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Call finally talk find piece decide. Throw thousand number country.\nReport kid agency Democrat hope.\",\"[{\"\"name\"\": \"\"James Moreno\"\", \"\"affiliation\"\": \"\"Gomez PLC\"\", \"\"email\"\": \"\"cooksara@example.com\"\"}, {\"\"name\"\": \"\"Pa\",212,None,\"[\"\"man\"\", \"\"phone\"\", \"\"usually\"\", \"\"nor\"\"]\",arXiv:2021.22882,10.5122/MdFU,Science,2023,Advanced homogeneous structure\r\nA near much character about.,\"[{\"\"name\"\": \"\"William Mccormick\"\", \"\"affiliation\"\": \"\"Lamb PLC\"\", \"\"email\"\": \"\"frank14@example.org\"\"}, {\"\"name\"\": \",238,\"Blankenship, Allen and Salas\",\"[\"\"catch\"\", \"\"past\"\", \"\"must\"\"]\",arXiv:2021.40483,10.1856/eggJ,Science,2023,Open-architected attitude-oriented protocol\r\nStreet space fish discover act idea usually. Themselves six member occur.,\"[{\"\"name\"\": \"\"Krista Jackson\"\", \"\"affiliation\"\": \"\"Osborn-Mejia\"\", \"\"email\"\": \"\"moorerobin@example.org\"\"}, {\"\"nam\",128,None,\"[\"\"add\"\", \"\"create\"\", \"\"later\"\"]\",arXiv:2022.85261,10.8151/KLkr,Cell,2024,Re-engineered asynchronous workforce\r\nHealth condition best news increase. Party step level above magazine. Body determine two model.,\"[{\"\"name\"\": \"\"Dennis Parker\"\", \"\"affiliation\"\": \"\"Williams, Mayer and Perry\"\", \"\"email\"\": \"\"anthony38@example.n\",346,Medina-Rubio,\"[\"\"bag\"\", \"\"while\"\", \"\"half\"\", \"\"old\"\"]\",arXiv:2021.55851,10.3580/jWEY,Cell,2021,Monitored homogeneous project\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"e78ff1cc-d984-499d-9fcf-126ccada9355\",\n  \"timestamp\": \"2026-01-07T13:51:26.607679\",\n  \"level\": \"WARNING\",\n  \"service\": \"generationService\",\n  \"message\": \"Bag difference growth have leader yeah him.\",\n  \"stack_trace\": [\n    \"at teach.py:30\",\n    \"at poor.py:409\"\n  ],\n  \"context\": {\n    \"user_id\": \"e8daac99-0bad-4fb0-ae26-78525528db85\",\n    \"request_id\": \"a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>e78ff1cc-d984-499d-9fcf-126ccada9355</error_id>\n<timestamp>2026-01-07T13:51:26.607679</timestamp>\n<level>WARNING</level>\n<service>generationService</service>\n<message>Bag difference growth have leader yeah him.</message>\n<stack_trace>at teach.py:30</stack_trace>\n<stack_trace>at poor.py:409</stack_trace>\n<context>\n<user_id>e8daac99-0bad-4fb0-ae26-78525528db85</user_id>\n<request_id>a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-95106885</txn_id>\n<customer_id>9090a0a6-3421-4a93-9d6e-78b6a1f8fed7</customer_id>\n<timestamp>2026-01-07T13:51:27.692524</timestamp>\n<items>\n<sku>SKU-33525</sku>\n<qty>3</qty>\n<price>130.6</price>\n</items>\n<subtotal>793.41</subtotal>\n<tax>85.16</tax>\n<total>1645.24</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-95106885\",\n  \"customer_id\": \"9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\",\n  \"timestamp\": \"2026-01-07T13:51:27.692524\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-33525\",\n      \"qty\": 3,\n      \"price\": 130.6\n    }\n  ],\n  \"subtotal\": 793.41,\n  \"tax\": 85.16,\n  \"total\": 1645.24,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Centralized web-enabled hardware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</improve>\n<get>\n<summary>Act attention yes herself significant recent.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//improve>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Stand-alone dedicated complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</hear>\n<get>\n<summary>Chance cultural sort including high.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//hear>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output clinical note as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K86\"\"}]\",chest pain,2026-01-06,CN-3508494,51,F,MRN-721804,130/109,78,100.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J36\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J36\"\"}]\",chest pain,2026-01-04,CN-9035071,18,M,MRN-491263,101/72,90,100.2\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I74\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K86\"\"}]\",headache,2026-01-01,CN-9917027,75,M,MRN-127789,140/62,92,99.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I13\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J44\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-06,CN-6959076,38,M,MRN-145025,129/80,98,100.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I81\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K27\"\"}]\",chest pain,2026-01-06,CN-8756681,64,M,MRN-299511,116/102,108,98.2\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.53732\"\ntitle = \"De-engineered exuding monitoring\"\nabstract = \"Cut happen you after talk trial accept she. Country church development card. Learn support son service.\"\nkeywords = [ \"positive\", \"American\", \"hand\", \"sure\",]\ncitations = 88\nfunding_source = \"Kim LLC\"\n[[authors]]\nname = \"Joseph Johnson\"\naffiliation = \"Mccann, Romero and Ortiz\"\nemail = \"wcook@example.org\"\n\n[[authors]]\nname = \"Mr. Henry Thomas\"\naffiliation = \"Clarke-Williams\"\nemail = \"mlittle@example.com\"\n\n[publication]\nvenue = \"Science\"\nyear = 2024\ndoi = \"10.3815/gTFt\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3508494\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K96\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K86\"\n\n[patient]\nmrn = \"MRN-721804\"\nage = 51\ngender = \"F\"\n\n[vitals]\nbp = \"130/109\"\nhr = 78\ntemp_f = 100.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-760727\nparties:\n- name: King, Moore and Vazquez\n  role: party_a\n- name: Brown, Henry and Craig\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 15\nvalue: 170545\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-482875,,CRS-2679,,2026-01-01,C,,,,,98.87,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-646713,,,62,assignment\r\n,ECL178,CRS-7949,3,,,40,30,30,Jordan Sanchez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"benefit\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"exist\"\"}, {\"\"\",,,Fall 2023,Versatile incremental Graphic Interface 101,,\r\n,YLF247,CRS-9884,3,,,40,30,30,Alan Hurley,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"now\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"story\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"year\"\"}, {\"\"week\"\": \",,,Fall 2024,Face-to-face dynamic artificial intelligence 101,,\r\n,UXD195,CRS-5870,3,,,40,30,30,Juan Thomas,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"view\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"down\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"difficult\"\"}, {\"\"we\",,,Spring 2022,De-engineered 6thgeneration database 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"course_id\": \"CRS-1797\",\n  \"code\": \"QAA477\",\n  \"title\": \"User-friendly composite interface 101\",\n  \"instructor\": \"Selena Walker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"all\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"education\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"will\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"operation\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"plan\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"allow\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id = \"CRS-1797\"\ncode = \"QAA477\"\ntitle = \"User-friendly composite interface 101\"\ninstructor = \"Selena Walker\"\ncredits = 4\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"all\"\n\n[[schedule]]\nweek = 2\ntopic = \"education\"\n\n[[schedule]]\nweek = 3\ntopic = \"will\"\n\n[[schedule]]\nweek = 4\ntopic = \"operation\"\n\n[[schedule]]\nweek = 5\ntopic = \"western\"\n\n[[schedule]]\nweek = 6\ntopic = \"plan\"\n\n[[schedule]]\nweek = 7\ntopic = \"allow\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-7237025\",\n  \"patient\": {\n    \"mrn\": \"MRN-276187\",\n    \"age\": 53,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"95/82\",\n    \"hr\": 103,\n    \"temp_f\": 102.9\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-25055870</post_id>\n<platform>twitter</platform>\n<user_id>28837af0-4898-41b2-8a38-faf0e2d7f431</user_id>\n<username>khahn</username>\n<content>Serve student science today general. Tell risk ball quickly technology.\nDrive because generation support gun message majority. Though do old.</content>\n<timestamp>2026-01-07T13:51:27.403909</timestamp>\n<hashtags>#conference</hashtags>\n<hashtags>#body</hashtags>\n<engagement>\n<likes>9394</likes>\n<shares>444</shares>\n<comments>203</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"6b141850-4372-44c1-8cf7-fc47780a5017\"\ntimestamp = \"2026-01-07T13:51:26.727039\"\nlevel = \"WARNING\"\nservice = \"fullService\"\nmessage = \"Simply human maintain sport.\"\nstack_trace = [ \"at environmental.py:351\", \"at develop.py:28\", \"at send.py:431\",]\n\n[context]\nuser_id = \"fad7b695-3fb8-4313-ad8d-c2b1d4034196\"\nrequest_id = \"2ca5c81e-d6c8-42a4-9e09-9715e928fe91\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this XML data into TOML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-738287</product_id>\n<name>Function-based dedicated installation</name>\n<category>electronics</category>\n<price>364.53</price>\n<currency>USD</currency>\n<stock>956</stock>\n<is_available>True</is_available>\n<rating>1.64</rating>\n<reviews>854</reviews>\n<specs>\n<weight_kg>19.72</weight_kg>\n<dimensions>48x33x88cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-738287\"\nname = \"Function-based dedicated installation\"\ncategory = \"electronics\"\nprice = 364.53\ncurrency = \"USD\"\nstock = 956\nis_available = true\nrating = 1.64\nreviews = 854\n\n[specs]\nweight_kg = 19.72\ndimensions = \"48x33x88cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2022</period>\n<total_revenue>7500818</total_revenue>\n<units_sold>73950</units_sold>\n<channels>\n<name>retail</name>\n<revenue>528123</revenue>\n<growth>12.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1160273</revenue>\n<growth>23.93</growth>\n</channels>\n<top_products>\n<sku>SKU-6153</sku>\n<sales>328911</sales>\n</top_products>\n<top_products>\n<sku>SKU-4483</sku>\n<sales>21251</sales>\n</top_products>\n<top_products>\n<sku>SKU-5114</sku>\n<sales>21486</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"November 2021\",\n  \"total_revenue\": 8992427,\n  \"units_sold\": 30636,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3169564,\n      \"growth\": 42.35\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2683860,\n      \"growth\": 36.55\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9614\",\n      \"sales\": 412171\n    },\n    {\n      \"sku\": \"SKU-7573\",\n      \"sales\": 203488\n    },\n    {\n      \"sku\": \"SKU-4372\",\n      \"sales\": 55896\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1972\"\ncode = \"ZZC321\"\ntitle = \"Horizontal intermediate Graphical User Interface 101\"\ninstructor = \"Danielle Parsons\"\ncredits = 4\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"Republican\"\n\n[[schedule]]\nweek = 2\ntopic = \"beat\"\n\n[[schedule]]\nweek = 3\ntopic = \"garden\"\n\n[[schedule]]\nweek = 4\ntopic = \"interest\"\n\n[[schedule]]\nweek = 5\ntopic = \"some\"\n\n[[schedule]]\nweek = 6\ntopic = \"account\"\n\n[[schedule]]\nweek = 7\ntopic = \"court\"\n\n[[schedule]]\nweek = 8\ntopic = \"lose\"\n\n[[schedule]]\nweek = 9\ntopic = \"foreign\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"timestamp\": \"2026-01-07T13:51:26.818902\",\n  \"context\": {\n    \"user_id\": \"3a96bf92-d9b7-4f9e-91da-6a15b590d5cf\",\n    \"request_id\": \"d8c0cfbc-2ae8-46b8-8db8-ee3a71153dc5\"\n  },\n  \"error_id\": \"de32926d-7560-4176-8c16-f346784a78af\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Mcintyre, French and Sherman\nticker: GRIC\nquarter: Q4 2021\nrevenue: 78125638\nexpenses: 13448897\nnet_income: 14876002\neps: 9.04\nmetrics:\n  profit_margin: 9.81\n  roe: 23.34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Attorney least population stop when. Wish general this security both always sell.\nNeed meet hold nor\",307,7264,40,\"[\"\"#eye\"\", \"\"#easy\"\", \"\"#air\"\"]\",twitter,POST-44625740,2026-01-06T09:43:32.690645,1bbfdbbb-8d87-42d3-b94c-b038d178bd38,cjohnston\r\nEvidence gas then decide give ability budget. Job store relate become recently degree. Charge doctor,251,350,270,\"[\"\"#within\"\", \"\"#any\"\", \"\"#heavy\"\", \"\"#image\"\"]\",instagram,POST-40875563,2026-01-06T09:43:32.695146,42a6138e-a94f-4e1f-ad33-0cbdfdd11a2c,cperez\r\nLeave one after rather there former. Maintain theory political executive no south. Threat road inclu,226,4872,754,\"[\"\"#rest\"\", \"\"#current\"\", \"\"#area\"\", \"\"#religious\"\"]\",facebook,POST-94061452,2026-01-06T09:43:32.695804,4408f222-e0cb-48e1-9580-0f3320235d11,natalie44\r\n\"Republican fill evidence suffer ahead the according.\nGrow true foot represent mean experience. Plant\",137,9358,967,\"[\"\"#available\"\", \"\"#opportunity\"\"]\",instagram,POST-57079636,2026-01-06T09:43:32.698741,ec2a4074-0e4c-4ac3-9969-2b97ef99a74d,edward28\r\nEarly manager government seek. Land right bad site force five north. Us a reason worry sell suddenly,240,7311,755,\"[\"\"#PM\"\", \"\"#parent\"\", \"\"#entire\"\"]\",facebook,POST-29936282,2026-01-06T09:43:32.699487,2cd40113-2c3e-4709-bc7d-0090d7817124,ssmith\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"April 2022\"\ntotal_revenue = 3240395\nunits_sold = 93687\n[[channels]]\nname = \"online\"\nrevenue = 846299\ngrowth = 33.82\n\n[[channels]]\nname = \"retail\"\nrevenue = 1426706\ngrowth = 8.5\n\n[[top_products]]\nsku = \"SKU-6500\"\nsales = 463299\n\n[[top_products]]\nsku = \"SKU-9313\"\nsales = 62439\n\n[[top_products]]\nsku = \"SKU-6776\"\nsales = 77882\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: February 2020\ntotal_revenue: 5010605\nunits_sold: 4486\nchannels:\n- name: online\n  revenue: 4865933\n  growth: 41.22\n- name: wholesale\n  revenue: 4636446\n  growth: 21.68\ntop_products:\n- sku: SKU-3361\n  sales: 360256\n- sku: SKU-1576\n  sales: 355717\n- sku: SKU-8891\n  sales: 396344\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-475777</assessment_id>\n<student_id>STU-613124</student_id>\n<course_id>CRS-2241</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>75</total_score>\n<percentage>81.54</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-475777\",\n  \"student_id\": \"STU-613124\",\n  \"course_id\": \"CRS-2241\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 81.54,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2021</period>\n<total_revenue>8992427</total_revenue>\n<units_sold>30636</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3169564</revenue>\n<growth>42.35</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>2683860</revenue>\n<growth>36.55</growth>\n</channels>\n<top_products>\n<sku>SKU-9614</sku>\n<sales>412171</sales>\n</top_products>\n<top_products>\n<sku>SKU-7573</sku>\n<sales>203488</sales>\n</top_products>\n<top_products>\n<sku>SKU-4372</sku>\n<sales>55896</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: November 2021\ntotal_revenue: 8992427\nunits_sold: 30636\nchannels:\n- name: wholesale\n  revenue: 3169564\n  growth: 42.35\n- name: retail\n  revenue: 2683860\n  growth: 36.55\ntop_products:\n- sku: SKU-9614\n  sales: 412171\n- sku: SKU-7573\n  sales: 203488\n- sku: SKU-4372\n  sales: 55896\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Pre-emptive interactive encryption API\n  version: 1.0.0\npaths:\n  /air:\n    get:\n      summary: Final democratic whatever event director guy.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5490961\"\npatient_mrn = \"MRN-709917\"\norder_date = \"2026-01-03\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 146.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 119.4\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 95.1\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 73.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 166.8\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 98.8\nunit = \"g/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\nperiod: May 2020\ntotal_revenue: 9864225\nunits_sold: 74086\nchannels:\n- name: online\n  revenue: 906832\n  growth: -8.93\n- name: wholesale\n  revenue: 2437365\n  growth: 2.73\ntop_products:\n- sku: SKU-7032\n  sales: 420063\n- sku: SKU-9360\n  sales: 149398\n- sku: SKU-9440\n  sales: 105905\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>9864225</total_revenue>\n<units_sold>74086</units_sold>\n<channels>\n<name>online</name>\n<revenue>906832</revenue>\n<growth>-8.93</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2437365</revenue>\n<growth>2.73</growth>\n</channels>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>420063</sales>\n</top_products>\n<top_products>\n<sku>SKU-9360</sku>\n<sales>149398</sales>\n</top_products>\n<top_products>\n<sku>SKU-9440</sku>\n<sales>105905</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9279\ncode: WQT213\ntitle: Ameliorated 3rdgeneration groupware 101\ninstructor: Mariah Wilson\ncredits: 3\nterm: Fall 2020\nschedule:\n- week: 1\n  topic: together\n- week: 2\n  topic: statement\n- week: 3\n  topic: these\n- week: 4\n  topic: American\n- week: 5\n  topic: read\n- week: 6\n  topic: age\n- week: 7\n  topic: course\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J94\"\"}]\",headache,2026-01-04,CN-3766387,48,F,MRN-378219,145/101,106,101.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J58\"\"}]\",headache,2026-01-01,CN-4336964,19,F,MRN-926074,105/105,69,101.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J13\"\"}]\",headache,2026-01-03,CN-6888054,25,M,MRN-148741,157/77,60,102.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-6496\"\ncode = \"TMG245\"\ninstructor = \"Maria Bowers\"\n[[schedule]]\nweek = 1\ntopic = \"situation\"\n\n[[schedule]]\nweek = 2\ntopic = \"firm\"\n\n[[schedule]]\nweek = 3\ntopic = \"involve\"\n\n[[schedule]]\nweek = 4\ntopic = \"change\"\n\n[[schedule]]\nweek = 5\ntopic = \"yard\"\n\n[[schedule]]\nweek = 6\ntopic = \"morning\"\n\n[[schedule]]\nweek = 7\ntopic = \"other\"\n\n[[schedule]]\nweek = 8\ntopic = \"left\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9141\ncode: ESH384\ntitle: Inverse real-time hardware 101\ninstructor: Matthew Boyd\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: western\n- week: 2\n  topic: since\n- week: 3\n  topic: later\n- week: 4\n  topic: next\n- week: 5\n  topic: tree\n- week: 6\n  topic: until\n- week: 7\n  topic: everything\n- week: 8\n  topic: until\n- week: 9\n  topic: how\n- week: 10\n  topic: test\n- week: 11\n  topic: half\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output news article as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-1823437\",\n  \"headline\": \"Integrated content-based throughput\",\n  \"author\": \"Anna Ortiz\",\n  \"published\": \"2026-01-05T06:32:59.977242\",\n  \"section\": \"Politics\",\n  \"content\": \"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\\nFilm traditional together still member. Culture let serve home.\\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.\",\n  \"tags\": [\n    \"base\",\n    \"fight\",\n    \"test\"\n  ],\n  \"views\": 75522,\n  \"shares\": 3070\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_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:\n- at very.py:253\n- at piece.py:469\n- at home.py:259\ncontext:\n  user_id: 45de80c2-9a4d-4d83-abf9-651f235bf4e8\n  request_id: 53b4884a-375f-459c-a303-838dd3a8411e\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2022.87629\",\n  \"title\": \"Decentralized zero tolerance knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Jonathan Murphy\",\n      \"affiliation\": \"Long and Sons\",\n      \"email\": \"loconnell@example.org\"\n    },\n    {\n      \"name\": \"Patrick Skinner\",\n      \"affiliation\": \"Williams and Sons\",\n      \"email\": \"chentimothy@example.org\"\n    },\n    {\n      \"name\": \"Todd Smith\",\n      \"affiliation\": \"Lewis LLC\",\n      \"email\": \"nedwards@example.org\"\n    }\n  ],\n  \"abstract\": \"System many view vote. Into challenge wind result new good.\",\n  \"keywords\": [\n    \"modern\",\n    \"over\",\n    \"during\",\n    \"affect\",\n    \"sport\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.5354/mlMa\"\n  },\n  \"citations\": 187,\n  \"funding_source\": \"Fischer and Sons\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.87629</paper_id>\n<title>Decentralized zero tolerance knowledgebase</title>\n<authors>\n<name>Jonathan Murphy</name>\n<affiliation>Long and Sons</affiliation>\n<email>loconnell@example.org</email>\n</authors>\n<authors>\n<name>Patrick Skinner</name>\n<affiliation>Williams and Sons</affiliation>\n<email>chentimothy@example.org</email>\n</authors>\n<authors>\n<name>Todd Smith</name>\n<affiliation>Lewis LLC</affiliation>\n<email>nedwards@example.org</email>\n</authors>\n<abstract>System many view vote. Into challenge wind result new good.</abstract>\n<keywords>modern</keywords>\n<keywords>over</keywords>\n<keywords>during</keywords>\n<keywords>affect</keywords>\n<keywords>sport</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.5354/mlMa</doi>\n</publication>\n<citations>187</citations>\n<funding_source>Fischer and Sons</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2024</period>\n<total_revenue>3091656</total_revenue>\n<units_sold>63856</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2739604</revenue>\n<growth>-0.52</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>247982</revenue>\n<growth>14.46</growth>\n</channels>\n<top_products>\n<sku>SKU-7268</sku>\n<sales>409348</sales>\n</top_products>\n<top_products>\n<sku>SKU-4030</sku>\n<sales>70087</sales>\n</top_products>\n<top_products>\n<sku>SKU-4380</sku>\n<sales>298376</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"January 2024\",\n  \"total_revenue\": 3091656,\n  \"units_sold\": 63856,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2739604,\n      \"growth\": -0.52\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 247982,\n      \"growth\": 14.46\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7268\",\n      \"sales\": 409348\n    },\n    {\n      \"sku\": \"SKU-4030\",\n      \"sales\": 70087\n    },\n    {\n      \"sku\": \"SKU-4380\",\n      \"sales\": 298376\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nBefore today call network oil future. Admit itself catch song various rest. Personal worry quality d,\"[{\"\"name\"\": \"\"Keith Wilcox\"\", \"\"affiliation\"\": \"\"Ruiz-Torres\"\", \"\"email\"\": \"\"martinstephanie@example.org\"\"}, {\"\"n\",274,None,\"[\"\"song\"\", \"\"TV\"\", \"\"southern\"\"]\",arXiv:2020.59386,10.1369/MikD,Nature,2020,Self-enabling demand-driven application\r\nNever life mention fine authority perform but none. But speak above question bit recent.,\"[{\"\"name\"\": \"\"Pamela Stewart\"\", \"\"affiliation\"\": \"\"Lawson, James and Proctor\"\", \"\"email\"\": \"\"wrichards@example.\",168,\"Martinez, Waller and Campbell\",\"[\"\"number\"\", \"\"letter\"\", \"\"collection\"\", \"\"exactly\"\", \"\"sister\"\"]\",arXiv:2021.22947,10.2262/DCQg,Cell,2022,Sharable human-resource Graphical User Interface\r\nEat by tend hit. Mouth trouble visit pretty from single yet. Election very effort beyond beyond fine,\"[{\"\"name\"\": \"\"Eric Huff\"\", \"\"affiliation\"\": \"\"Lawson Ltd\"\", \"\"email\"\": \"\"quinnmichelle@example.com\"\"}, {\"\"name\"\": \",494,None,\"[\"\"but\"\", \"\"keep\"\", \"\"look\"\"]\",arXiv:2023.10174,10.1376/uMTP,Science,2020,Ergonomic full-range product\r\n\"Reveal almost no answer yard use special current.\nOutside spend sometimes painting. House force up s\",\"[{\"\"name\"\": \"\"Gina Glover\"\", \"\"affiliation\"\": \"\"Grimes-Arnold\"\", \"\"email\"\": \"\"trussell@example.com\"\"}, {\"\"name\"\": \",267,Romero PLC,\"[\"\"reality\"\", \"\"set\"\", \"\"challenge\"\", \"\"fill\"\", \"\"partner\"\"]\",arXiv:2021.25152,10.8359/Htvs,Science,2023,Multi-tiered client-server website\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.87801</paper_id>\n<title>Cross-group 24/7 methodology</title>\n<authors>\n<name>Scott Webb</name>\n<affiliation>Chapman LLC</affiliation>\n<email>juanbooth@example.com</email>\n</authors>\n<authors>\n<name>Robert Mullins</name>\n<affiliation>Robbins, Adkins and Rogers</affiliation>\n<email>michaeldunn@example.org</email>\n</authors>\n<abstract>Reality maybe court material response cell. Middle instead husband win thousand collection.</abstract>\n<keywords>girl</keywords>\n<keywords>face</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.4960/byWV</doi>\n</publication>\n<citations>193</citations>\n<funding_source>Williams Ltd</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2021.87801\ntitle: Cross-group 24/7 methodology\nauthors:\n- name: Scott Webb\n  affiliation: Chapman LLC\n  email: juanbooth@example.com\n- name: Robert Mullins\n  affiliation: Robbins, Adkins and Rogers\n  email: michaeldunn@example.org\nabstract: Reality maybe court material response cell. Middle instead husband win thousand\n  collection.\nkeywords:\n- girl\n- face\n- protect\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.4960/byWV\ncitations: 193\nfunding_source: Williams Ltd\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-554535\",\n  \"student_id\": \"STU-693793\",\n  \"course_id\": \"CRS-9992\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 86,\n  \"percentage\": 63.99,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-644295,Thomas Ponce,RX-5336793\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopri\",MRN-901215,Mr. Mario Allen,RX-2388578\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-776742,Wendy Miller,RX-9424396\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"post_id\": \"POST-93814090\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\",\n  \"username\": \"tonyaguzman\",\n  \"content\": \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\",\n  \"timestamp\": \"2026-01-07T13:51:26.454281\",\n  \"hashtags\": [\n    \"#plan\",\n    \"#area\",\n    \"#foreign\"\n  ],\n  \"engagement\": {\n    \"likes\": 5322,\n    \"shares\": 327,\n    \"comments\": 152\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-93814090\"\nplatform = \"facebook\"\nuser_id = \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\"\nusername = \"tonyaguzman\"\ncontent = \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\"\ntimestamp = \"2026-01-07T13:51:26.454281\"\nhashtags = [ \"#plan\", \"#area\", \"#foreign\",]\n\n[engagement]\nlikes = 5322\nshares = 327\ncomments = 152\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\npaper_id = \"arXiv:2020.93852\"\ntitle = \"Reactive solution-oriented circuit\"\nabstract = \"Law fund huge better or. Federal forward north law. Work available call never.\\nCarry cultural day front resource write. Southern white pattern fear.\"\nkeywords = [ \"wind\", \"wife\", \"report\", \"financial\",]\ncitations = 45\n[[authors]]\nname = \"Jennifer Gray\"\naffiliation = \"Bryant, Lewis and Wells\"\nemail = \"spalmer@example.com\"\n\n[[authors]]\nname = \"David Brown\"\naffiliation = \"Cortez, Cook and Ross\"\nemail = \"melvin21@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.1277/DPuH\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2020.93852\ntitle: Reactive solution-oriented circuit\nauthors:\n- name: Jennifer Gray\n  affiliation: Bryant, Lewis and Wells\n  email: spalmer@example.com\n- name: David Brown\n  affiliation: Cortez, Cook and Ross\n  email: melvin21@example.com\nabstract: 'Law fund huge better or. Federal forward north law. Work available call\n  never.\n\n  Carry cultural day front resource write. Southern white pattern fear.'\nkeywords:\n- wind\n- wife\n- report\n- financial\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.1277/DPuH\ncitations: 45\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nrx_id = \"RX-9458448\"\npatient_mrn = \"MRN-362998\"\nprescriber = \"Courtney Hansen\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-9458448\npatient_mrn: MRN-362998\nprescriber: Courtney Hansen\ndate: '2026-01-02'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2022</period>\n<total_revenue>7456708</total_revenue>\n<units_sold>82349</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3622404</revenue>\n<growth>-8.05</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1893923</revenue>\n<growth>2.21</growth>\n</channels>\n<top_products>\n<sku>SKU-2073</sku>\n<sales>98550</sales>\n</top_products>\n<top_products>\n<sku>SKU-3707</sku>\n<sales>233488</sales>\n</top_products>\n<top_products>\n<sku>SKU-7843</sku>\n<sales>172526</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"January 2022\",\n  \"total_revenue\": 7456708,\n  \"units_sold\": 82349,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3622404,\n      \"growth\": -8.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1893923,\n      \"growth\": 2.21\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2073\",\n      \"sales\": 98550\n    },\n    {\n      \"sku\": \"SKU-3707\",\n      \"sales\": 233488\n    },\n    {\n      \"sku\": \"SKU-7843\",\n      \"sales\": 172526\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2281</course_id>\n<code>NHA456</code>\n<title>Profit-focused mission-critical hardware 101</title>\n<instructor>Natalie Middleton</instructor>\n<credits>3</credits>\n<term>Spring 2024</term>\n<schedule>\n<week>1</week>\n<topic>its</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>attorney</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>decision</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>every</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>direction</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>player</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>city</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>everybody</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output experiment result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-956799\",\n  \"title\": \"Effect of town on start\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 962,\n    \"duration_days\": 355\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 84.98,\n      \"endpoint\": 18.54,\n      \"p_value\": 0.3765\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 50.71,\n      \"endpoint\": 79.49,\n      \"p_value\": 0.1783\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.25,\n      \"endpoint\": 81.5,\n      \"p_value\": 0.0959\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 53.32,\n      \"endpoint\": 58.41,\n      \"p_value\": 0.1807\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-5751204\npatient:\n  mrn: MRN-566004\n  age: 47\n  gender: M\nencounter_date: '2026-01-05'\nchief_complaint: headache\nvitals:\n  bp: 160/96\n  hr: 75\n  temp_f: 102.4\nassessment:\n- problem: diabetes\n  icd10: I93\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-4765\",\n  \"code\": \"VMZ479\",\n  \"title\": \"Exclusive grid-enabled software 101\",\n  \"instructor\": \"Amy Baker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"show\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"cut\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"next\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"everything\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"international\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"since\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-46905875</post_id>\n<platform>instagram</platform>\n<user_id>2079b341-d50b-4860-ba15-aa28bbe0f5b3</user_id>\n<username>xhernandez</username>\n<content>Serious degree upon late.\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.</content>\n<timestamp>2026-01-07T13:51:26.735117</timestamp>\n<hashtags>#easy</hashtags>\n<hashtags>#miss</hashtags>\n<engagement>\n<likes>6808</likes>\n<shares>9</shares>\n<comments>24</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-46905875\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"2079b341-d50b-4860-ba15-aa28bbe0f5b3\",\n  \"username\": \"xhernandez\",\n  \"content\": \"Serious degree upon late.\\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.\",\n  \"timestamp\": \"2026-01-07T13:51:26.735117\",\n  \"hashtags\": [\n    \"#easy\",\n    \"#miss\"\n  ],\n  \"engagement\": {\n    \"likes\": 6808,\n    \"shares\": 9,\n    \"comments\": 24\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/similar_get_parameters,paths_/similar_get_responses_200_description,paths_/similar_get_responses_400_description,paths_/similar_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Organic analyzing strategy API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Natural see lot recently.,,,,\r\nFuture deal leader president result. Attack chair age nature cold letter. That difference century ot,\"[{\"\"name\"\": \"\"Joshua Camacho\"\", \"\"affiliation\"\": \"\"Flores, Rodriguez and Gallagher\"\", \"\"email\"\": \"\"smithphilip@\",359,None,,,\"[\"\"last\"\", \"\"get\"\", \"\"big\"\", \"\"early\"\"]\",,arXiv:2023.38729,,,,,10.1709/cuSu,Science,2022,Business-focused zero tolerance frame\r\nPast various forget democratic song seek defense.,\"[{\"\"name\"\": \"\"Ms. Lisa Ibarra DDS\"\", \"\"affiliation\"\": \"\"Wells Inc\"\", \"\"email\"\": \"\"olambert@example.com\"\"}, {\"\"nam\",482,\"Torres, Roach and Tran\",,,\"[\"\"of\"\", \"\"director\"\", \"\"positive\"\", \"\"sing\"\"]\",,arXiv:2021.31299,,,,,10.8442/Xpiu,Cell,2021,Integrated reciprocal benchmark\r\nLay than not everyone while need.,\"[{\"\"name\"\": \"\"Brent Avery\"\", \"\"affiliation\"\": \"\"Johnson, Hernandez and Ortiz\"\", \"\"email\"\": \"\"emilywilliams@exam\",392,None,,,\"[\"\"possible\"\", \"\"care\"\", \"\"goal\"\", \"\"control\"\"]\",,arXiv:2024.91973,,,,,10.9656/ASZr,Cell,2023,Face-to-face responsive database\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-831490\"\nname = \"Seamless optimal task-force\"\ncategory = \"electronics\"\nprice = 975.8\ncurrency = \"USD\"\nstock = 924\nis_available = true\nrating = 2.71\nreviews = 121\n\n[specs]\nweight_kg = 17.77\ndimensions = \"52x27x46cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\nrx_id: RX-3684509\npatient_mrn: MRN-644382\nprescriber: Chelsea Henson\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 60\n- name: Metformin\n  dosage: 10mg\n  frequency: TID\n  quantity: 60\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3684509\",\n  \"patient_mrn\": \"MRN-644382\",\n  \"prescriber\": \"Chelsea Henson\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-49469407</post_id>\n<platform>instagram</platform>\n<user_id>c776cd7c-2538-4c81-83c8-03afd724bed1</user_id>\n<username>donald18</username>\n<content>Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.</content>\n<timestamp>2026-01-07T13:51:26.031233</timestamp>\n<hashtags>#daughter</hashtags>\n<hashtags>#after</hashtags>\n<hashtags>#affect</hashtags>\n<hashtags>#goal</hashtags>\n<engagement>\n<likes>2564</likes>\n<shares>187</shares>\n<comments>95</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,939e8b37-2ce6-4ba0-bde6-ca285c8d396c,e110a198-5d8a-4242-b2e4-6ec6ae49ca80,249c5a8d-effc-4f5a-9a18-79860cd86eba,,,CRITICAL,Capital carry as agree member lead one.,,,,,createService,\"[\"\"at sign.py:359\"\", \"\"at college.py:115\"\", \"\"at try.py:133\"\"]\",2026-01-07T13:51:25.844189,\r\n\"Movie quickly score herself. Eye service lay month.\nAnalysis else explain teacher. Real measure hear\",\"[{\"\"name\"\": \"\"Anthony Diaz\"\", \"\"affiliation\"\": \"\"Simpson Inc\"\", \"\"email\"\": \"\"erin63@example.org\"\"}, {\"\"name\"\": \"\"As\",468,,,,Stewart-Young,\"[\"\"fast\"\", \"\"president\"\", \"\"gas\"\", \"\"pay\"\", \"\"ahead\"\"]\",,,arXiv:2022.36315,10.4989/zkYg,Science,2022,,,,Pre-emptive hybrid leverage\r\n\"Whole present source green state seem.\nEvery gun appear kind foot she question. Give television coac\",\"[{\"\"name\"\": \"\"Alexandria Matthews\"\", \"\"affiliation\"\": \"\"Hendricks-Mckinney\"\", \"\"email\"\": \"\"shermancheryl@exampl\",186,,,,\"Walker, Dudley and Randolph\",\"[\"\"garden\"\", \"\"education\"\", \"\"consider\"\", \"\"activity\"\", \"\"site\"\"]\",,,arXiv:2020.18853,10.4989/SgFf,Nature,2022,,,,Reverse-engineered motivating core\r\nArtist her smile travel. Social member thousand third organization simply. Indicate exactly business,\"[{\"\"name\"\": \"\"Joseph Hodges\"\", \"\"affiliation\"\": \"\"Turner, Williams and Gonzalez\"\", \"\"email\"\": \"\"smallcollin@exa\",200,,,,None,\"[\"\"foot\"\", \"\"create\"\", \"\"whose\"\", \"\"make\"\", \"\"teach\"\"]\",,,arXiv:2020.13630,10.9637/DeFV,Cell,2022,,,,Multi-tiered global success\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n,,MRN-871277,Jennifer Williams,RX-8793152\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-543077,Krista Kelly,RX-4157436\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-265010,Edward Barr,RX-4214690\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastat\",MRN-881473,Nicole Harrison,RX-4465475\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-979564,Chad Hudson,RX-8610998\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\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", "content": "Approach:\n1. Task: Convert contract from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-143990,2026-01-02,\"[{\"\"name\"\": \"\"Brady Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gonzalez, Coleman and Sanchez\"\", \"\"role\"\": \"\"party_\",active,32,452000\r\nCTR-713188,2026-01-03,\"[{\"\"name\"\": \"\"Young and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Solis and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,51,621798\r\nCTR-488221,2026-01-05,\"[{\"\"name\"\": \"\"Scott-Graham\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Fuentes-Rodriguez\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,21,973623\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 528123, \"\"growth\"\": 12.05}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1160273, \"\"gro\",,,,,March 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-6153\"\", \"\"sales\"\": 328911}, {\"\"sku\"\": \"\"SKU-4483\"\", \"\"sales\"\": 21251}, {\"\"sku\"\": \"\"SKU-5114\"\", \"\"sal\",7500818,73950\r\nWell parent lot speak. Magazine training federal pull second. Describe cause bank speak father well ,\"[{\"\"name\"\": \"\"Brian Robertson\"\", \"\"affiliation\"\": \"\"Maldonado, Reyes and Brown\"\", \"\"email\"\": \"\"huntmatthew@exam\",,57,None,\"[\"\"most\"\", \"\"truth\"\", \"\"design\"\"]\",arXiv:2020.25220,,10.1757/sdZs,Nature,2024,Decentralized full-range focus group,,,\r\nI across anyone opportunity. Gas drive role black seat in blue. Region best foot onto development fa,\"[{\"\"name\"\": \"\"Jessica Ochoa\"\", \"\"affiliation\"\": \"\"Patterson, Garcia and Calhoun\"\", \"\"email\"\": \"\"linda79@example\",,47,Vega-Ruiz,\"[\"\"us\"\", \"\"account\"\", \"\"suffer\"\"]\",arXiv:2023.57935,,10.3312/ZnRh,Cell,2020,Function-based didactic project,,,\r\n\"Something support run political.\nThrow political clear general. Have all material color end.\nKind th\",\"[{\"\"name\"\": \"\"Kevin Morris\"\", \"\"affiliation\"\": \"\"Hunter, Bautista and Mitchell\"\", \"\"email\"\": \"\"derek13@example.\",,296,Johnson-Banks,\"[\"\"news\"\", \"\"strategy\"\", \"\"bed\"\", \"\"full\"\"]\",arXiv:2021.42052,,10.1671/EjkG,Science,2024,Grass-roots logistical moratorium,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9001624</rx_id>\n<patient_mrn>MRN-695608</patient_mrn>\n<prescriber>Stephen Davis</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-9001624\npatient_mrn: MRN-695608\nprescriber: Stephen Davis\ndate: '2026-01-05'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2024</period>\n<total_revenue>3108970</total_revenue>\n<units_sold>70292</units_sold>\n<channels>\n<name>online</name>\n<revenue>1867975</revenue>\n<growth>-2.95</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1947932</revenue>\n<growth>22.54</growth>\n</channels>\n<top_products>\n<sku>SKU-5409</sku>\n<sales>492017</sales>\n</top_products>\n<top_products>\n<sku>SKU-4816</sku>\n<sales>486050</sales>\n</top_products>\n<top_products>\n<sku>SKU-9957</sku>\n<sales>44038</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\npatient_mrn = \"MRN-952425\"\nresult_id = \"LAB-8958063\"\n[[results]]\ntest = \"Glucose\"\nvalue = 142.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 196.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 74.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 119.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 99.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 51.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 186.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-61935008\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\",\n  \"username\": \"halezachary\",\n  \"content\": \"Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.\",\n  \"timestamp\": \"2026-01-07T13:51:25.597395\",\n  \"hashtags\": [\n    \"#box\",\n    \"#speak\",\n    \"#reason\"\n  ],\n  \"engagement\": {\n    \"likes\": 4027,\n    \"shares\": 604,\n    \"comments\": 194\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-619223\nparties:\n- name: Mcdaniel LLC\n  role: party_a\n- name: Hunt-Bowman\n  role: party_b\neffective_date: '2026-01-03'\nterm_months: 21\nvalue: 87478\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>424897c8-d97d-4bfb-9c1a-7b6e63fd6096</error_id>\n<timestamp>2026-01-07T13:51:27.529237</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>How these anyone stop indeed.</message>\n<stack_trace>at manage.py:289</stack_trace>\n<stack_trace>at thing.py:107</stack_trace>\n<stack_trace>at guy.py:172</stack_trace>\n<stack_trace>at seat.py:479</stack_trace>\n<context>\n<user_id>082cc3eb-3997-4d99-990c-f696ca4ee534</user_id>\n<request_id>0f3326d0-3afd-48c1-9c4d-32cc8b0c5920</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"424897c8-d97d-4bfb-9c1a-7b6e63fd6096\",\n  \"timestamp\": \"2026-01-07T13:51:27.529237\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"How these anyone stop indeed.\",\n  \"stack_trace\": [\n    \"at manage.py:289\",\n    \"at thing.py:107\",\n    \"at guy.py:172\",\n    \"at seat.py:479\"\n  ],\n  \"context\": {\n    \"user_id\": \"082cc3eb-3997-4d99-990c-f696ca4ee534\",\n    \"request_id\": \"0f3326d0-3afd-48c1-9c4d-32cc8b0c5920\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9456</course_id>\n<code>KDS432</code>\n<title>Multi-channeled local complexity 101</title>\n<instructor>Kenneth Rogers</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>activity</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>foot</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>reason</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rule</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>paper</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>current</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>scene</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>choice</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>box</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-9456\",\n  \"code\": \"KDS432\",\n  \"title\": \"Multi-channeled local complexity 101\",\n  \"instructor\": \"Kenneth Rogers\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"activity\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"foot\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"reason\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rule\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"paper\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"current\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"scene\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"choice\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"box\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-5160762\npatient_mrn: MRN-568012\nprescriber: Linda Gonzalez\ndate: '2026-01-06'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: TID\n  quantity: 30\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: daily\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/second_get_parameters,paths_/second_get_responses_200_description,paths_/second_get_responses_400_description,paths_/second_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Reactive exuding frame API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Life century work throughout however miss another.,,,,\r\nPeace safe prepare travel really. Specific ever bring left this likely speak. Hot owner about eat to,\"[{\"\"name\"\": \"\"Cristian Shaw\"\", \"\"affiliation\"\": \"\"Gonzalez LLC\"\", \"\"email\"\": \"\"latkins@example.org\"\"}, {\"\"name\"\": \",124,None,,,\"[\"\"clear\"\", \"\"three\"\", \"\"left\"\", \"\"pick\"\", \"\"light\"\"]\",,arXiv:2023.28336,,,,,10.3246/NdmY,Science,2023,Automated methodical process improvement\r\nHerself white answer try job. Tell Democrat difference any trial technology resource.,\"[{\"\"name\"\": \"\"Elijah Daniel\"\", \"\"affiliation\"\": \"\"Bright-Perkins\"\", \"\"email\"\": \"\"john97@example.org\"\"}, {\"\"name\"\":\",53,None,,,\"[\"\"follow\"\", \"\"including\"\", \"\"draw\"\", \"\"page\"\", \"\"each\"\"]\",,arXiv:2023.19818,,,,,10.8794/PNei,Cell,2020,Vision-oriented multi-tasking attitude\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-59995807\",\n  \"customer_id\": \"0d66cadd-c42f-4e9b-ae40-46d71f47623d\",\n  \"timestamp\": \"2026-01-07T13:51:27.084892\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-83766\",\n      \"qty\": 4,\n      \"price\": 55.35\n    },\n    {\n      \"sku\": \"SKU-77209\",\n      \"qty\": 2,\n      \"price\": 217.97\n    },\n    {\n      \"sku\": \"SKU-11210\",\n      \"qty\": 5,\n      \"price\": 436.04\n    }\n  ],\n  \"subtotal\": 1600.85,\n  \"tax\": 34.84,\n  \"total\": 602.79,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/pass_get_parameters,paths_/pass_get_responses_200_description,paths_/pass_get_responses_400_description,paths_/pass_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Upgradable 4thgeneration middleware API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Story amount nor bed night get message.,,,,\r\nAdmit me citizen this like skin. Word Democrat always drive year. She possible mean to open body fin,\"[{\"\"name\"\": \"\"Shannon Miranda\"\", \"\"affiliation\"\": \"\"Nelson Inc\"\", \"\"email\"\": \"\"rguerra@example.org\"\"}, {\"\"name\"\": \",498,None,,,\"[\"\"pass\"\", \"\"especially\"\", \"\"west\"\"]\",,arXiv:2024.49317,,,,,10.3884/ZfIw,Science,2022,Focused solution-oriented application\r\nType this young reality benefit own. Point former sure push interesting ask. Minute home still anyon,\"[{\"\"name\"\": \"\"David Edwards\"\", \"\"affiliation\"\": \"\"Gonzalez, Cooley and Kelley\"\", \"\"email\"\": \"\"raymond62@example\",81,\"Howell, Edwards and Curry\",,,\"[\"\"whole\"\", \"\"water\"\", \"\"truth\"\"]\",,arXiv:2020.39392,,,,,10.9606/CPxC,Science,2023,Compatible 24/7 adapter\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-480886</product_id>\n<name>Operative optimizing monitoring</name>\n<category>books</category>\n<price>967.35</price>\n<currency>USD</currency>\n<stock>887</stock>\n<is_available>True</is_available>\n<rating>2.99</rating>\n<reviews>465</reviews>\n<specs>\n<weight_kg>39.19</weight_kg>\n<dimensions>82x84x37cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-480886\",\n  \"name\": \"Operative optimizing monitoring\",\n  \"category\": \"books\",\n  \"price\": 967.35,\n  \"currency\": \"USD\",\n  \"stock\": 887,\n  \"is_available\": true,\n  \"rating\": 2.99,\n  \"reviews\": 465,\n  \"specs\": {\n    \"weight_kg\": 39.19,\n    \"dimensions\": \"82x84x37cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-2309770\npatient_mrn: MRN-380513\norder_date: '2026-01-02'\npanel: CMP\nresults:\n- test: Glucose\n  value: 62.8\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 141.2\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 75.4\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 174.6\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 170.1\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n\nOutput:\nresult_id = \"LAB-5631929\"\npatient_mrn = \"MRN-768687\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 146.4\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 144.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 71.2\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 124.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 163.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 191.2\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"article_id\": \"ART-8668047\",\n  \"headline\": \"Seamless local alliance\",\n  \"author\": \"Alyssa Moore\",\n  \"published\": \"2026-01-02T06:22:52.413807\",\n  \"section\": \"Business\",\n  \"content\": \"Billion up year window similar. Oil two resource next. If this tough pattern.\\nRule year push international.\\nReceive charge movie remember hear theory stuff explain. Century animal decide everyone direction rather. Month property rock environment fine such hand remain.\",\n  \"tags\": [\n    \"traditional\",\n    \"wish\",\n    \"little\",\n    \"inside\",\n    \"year\"\n  ],\n  \"views\": 55093,\n  \"shares\": 3713\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8668047,Alyssa Moore,\"Billion up year window similar. Oil two resource next. If this tough pattern.\nRule year push interna\",Seamless local alliance,2026-01-02T06:22:52.413807,Business,3713,\"[\"\"traditional\"\", \"\"wish\"\", \"\"little\"\", \"\"inside\"\", \"\"year\"\"]\",55093\r\nART-5058129,Michelle Thompson,Hot according close one. Expect almost keep through half answer dark. Economic huge him that age ans,Centralized regional framework,2026-01-04T02:40:13.869114,Tech,1843,\"[\"\"go\"\", \"\"computer\"\", \"\"final\"\", \"\"need\"\", \"\"price\"\"]\",71135\r\nART-9654004,Stanley Harris,Service peace compare two sea notice where. Hour specific ahead eight camera figure. I not marriage ,Front-line executive alliance,2026-01-04T02:32:11.098617,Tech,3760,\"[\"\"carry\"\", \"\"hard\"\", \"\"reality\"\", \"\"mind\"\"]\",99447\r\nART-9078927,Shane Austin,\"Idea space what young business art. Age cell partner affect.\nKey although lot hit. Office example at\",Multi-tiered grid-enabled open system,2026-01-02T00:07:53.674164,Sports,1595,\"[\"\"memory\"\", \"\"spend\"\", \"\"voice\"\", \"\"beyond\"\"]\",27477\r\nART-2928310,Patrick Vasquez,\"Rather allow law American. Room team every trade try seat black.\nExample new short letter doctor. Gr\",Distributed holistic project,2026-01-05T20:43:29.555803,Business,992,\"[\"\"check\"\", \"\"soldier\"\", \"\"live\"\", \"\"state\"\", \"\"despite\"\"]\",18644\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output error log as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,4ed63374-fc09-4101-b987-4a8ee575fee3,432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5,a016c8d2-6aba-435a-ab46-60ac8aacf0a5,,,CRITICAL,Well nation stay number now but.,,,,,currentService,\"[\"\"at daughter.py:364\"\", \"\"at same.py:66\"\"]\",2026-01-07T13:51:26.006823,\r\nElection news mission against. Heavy tree number fund.,\"[{\"\"name\"\": \"\"Jennifer White\"\", \"\"affiliation\"\": \"\"Hull, Ward and Dodson\"\", \"\"email\"\": \"\"qtorres@example.com\"\"},\",424,,,,Schneider-Williams,\"[\"\"past\"\", \"\"consumer\"\", \"\"argue\"\", \"\"today\"\", \"\"bag\"\"]\",,,arXiv:2022.85316,10.2316/bVwS,Cell,2021,,,,Stand-alone encompassing success\r\nLot front fact thought benefit. Drop every age team then. Leader man window wonder. Computer remain ,\"[{\"\"name\"\": \"\"Cheryl Good\"\", \"\"affiliation\"\": \"\"Garcia Group\"\", \"\"email\"\": \"\"rwhite@example.org\"\"}, {\"\"name\"\": \"\"Dy\",68,,,,Johnson Inc,\"[\"\"send\"\", \"\"movie\"\", \"\"next\"\", \"\"school\"\", \"\"test\"\"]\",,,arXiv:2022.78053,10.5989/PcwP,Cell,2022,,,,Future-proofed multimedia protocol\r\n\"Notice community road. Outside already scientist benefit.\nWife factor physical although head. Black \",\"[{\"\"name\"\": \"\"Melissa Alvarez\"\", \"\"affiliation\"\": \"\"Jackson-Mason\"\", \"\"email\"\": \"\"dcross@example.net\"\"}, {\"\"name\"\"\",131,,,,Grant-Wilcox,\"[\"\"since\"\", \"\"a\"\", \"\"I\"\"]\",,,arXiv:2021.75079,10.8936/lZYL,Nature,2021,,,,User-centric interactive portal\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"period\": \"October 2022\",\n  \"total_revenue\": 4790876,\n  \"units_sold\": 72609,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1112533,\n      \"growth\": 2.85\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3150615,\n      \"growth\": -3.34\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7795\",\n      \"sales\": 492045\n    },\n    {\n      \"sku\": \"SKU-5231\",\n      \"sales\": 195976\n    },\n    {\n      \"sku\": \"SKU-5539\",\n      \"sales\": 335045\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>October 2022</period>\n<total_revenue>4790876</total_revenue>\n<units_sold>72609</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1112533</revenue>\n<growth>2.85</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3150615</revenue>\n<growth>-3.34</growth>\n</channels>\n<top_products>\n<sku>SKU-7795</sku>\n<sales>492045</sales>\n</top_products>\n<top_products>\n<sku>SKU-5231</sku>\n<sales>195976</sales>\n</top_products>\n<top_products>\n<sku>SKU-5539</sku>\n<sales>335045</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,timestamp,title\r\n,,,d8c0cfbc-2ae8-46b8-8db8-ee3a71153dc5,3a96bf92-d9b7-4f9e-91da-6a15b590d5cf,de32926d-7560-4176-8c16-f346784a78af,,,,,,,2026-01-07T13:51:26.818902,\r\nSituation hand chance ahead citizen special thank another. Your political lawyer small artist determ,\"[{\"\"name\"\": \"\"Christopher Stevens\"\", \"\"affiliation\"\": \"\"Klein Inc\"\", \"\"email\"\": \"\"obrown@example.net\"\"}, {\"\"name\"\"\",59,,,,None,\"[\"\"appear\"\", \"\"director\"\", \"\"class\"\"]\",arXiv:2024.12574,10.9859/Gyae,Science,2023,,Fully-configurable bandwidth-monitored installation\r\nInstitution rock traditional drug. Particular find just him task. Pick short partner prove group agr,\"[{\"\"name\"\": \"\"Scott Brown\"\", \"\"affiliation\"\": \"\"Gibson PLC\"\", \"\"email\"\": \"\"raymondbradford@example.org\"\"}, {\"\"nam\",442,,,,None,\"[\"\"phone\"\", \"\"like\"\", \"\"nor\"\", \"\"bag\"\"]\",arXiv:2022.52146,10.8667/tNnH,Cell,2024,,Compatible secondary orchestration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-48552675</txn_id>\n<customer_id>19d3d880-f410-4b85-a35d-9c5777705d1f</customer_id>\n<timestamp>2026-01-07T13:51:26.837603</timestamp>\n<items>\n<sku>SKU-30306</sku>\n<qty>4</qty>\n<price>206.74</price>\n</items>\n<subtotal>1354.26</subtotal>\n<tax>33.08</tax>\n<total>766.28</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1056021</result_id>\n<patient_mrn>MRN-977601</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>WBC</test>\n<value>124.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>114.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>70.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>119.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>171.0</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-1056021\",\n  \"patient_mrn\": \"MRN-977601\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 124.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 114.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 119.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-9368\npercentage: 68.59\nassessment_id: ASMT-453812\nscores:\n- question: 1\n  points_earned: 2\n  points_possible: 10\n- question: 2\n  points_earned: 3\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 4\n  points_possible: 10\n- question: 5\n  points_earned: 6\n  points_possible: 10\n- question: 6\n  points_earned: 9\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: 5\n  points_possible: 10\n- question: 10\n  points_earned: 0\n  points_possible: 10\n- question: 11\n  points_earned: 2\n  points_possible: 10\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-643842\"\neffective_date = \"2026-01-02\"\nterm_months = 34\nvalue = 158809\nstatus = \"active\"\n[[parties]]\nname = \"Carpenter-Jenkins\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Sanchez-Reyes\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntimestamp: '2026-01-07T13:51:25.400660'\nitems:\n- sku: SKU-41387\n  qty: 1\n  price: 386.75\ntxn_id: TXN-44773795\ncustomer_id: acd22e98-51a5-48fa-ad66-a69b8fba3f2b\ntax: 171.02\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"249c5a8d-effc-4f5a-9a18-79860cd86eba\"\ntimestamp = \"2026-01-07T13:51:25.844189\"\nlevel = \"CRITICAL\"\nservice = \"createService\"\nmessage = \"Capital carry as agree member lead one.\"\nstack_trace = [ \"at sign.py:359\", \"at college.py:115\", \"at try.py:133\",]\n\n[context]\nuser_id = \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\"\nrequest_id = \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n,,,,,,POST-58883169,,9fc1586a-703b-4459-a18b-2f5e0582ab64,alexandra57\r\n\"Character theory traditional customer role. Only example edge newspaper pay to develop.\nMedia mind s\",397,8994,712,\"[\"\"#guy\"\", \"\"#data\"\", \"\"#exist\"\", \"\"#which\"\"]\",twitter,POST-30375826,2026-01-07T13:51:25.595662,347bdc7c-3b4b-48d1-a91a-59643e706a51,christina22\r\n\"Break area social director thought.\nMember quickly about education thank word difficult. Help call s\",180,3262,657,\"[\"\"#talk\"\", \"\"#able\"\", \"\"#far\"\"]\",instagram,POST-46832690,2026-01-07T13:51:25.595977,e4026872-7530-4b99-b9da-5840ef07d797,kaitlyn23\r\n\"Enjoy defense both building none. Identify add education full. Yes Democrat pay.\nResearch only gener\",459,8242,92,\"[\"\"#since\"\", \"\"#range\"\", \"\"#card\"\", \"\"#single\"\"]\",twitter,POST-81621644,2026-01-07T13:51:25.596387,853399c0-d154-415d-9c04-2b1f42fae34b,nancyrichards\r\n\"Present around wonder business oil where. Senior out teacher nearly eat which.\nDecision his push pos\",104,3512,329,\"[\"\"#mind\"\", \"\"#sea\"\", \"\"#something\"\", \"\"#send\"\"]\",twitter,POST-60459763,2026-01-07T13:51:25.596781,8950d18d-27fe-4d71-b599-443f31f6fe28,nathantaylor\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output clinical note as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I12\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K62\"\"}]\",chest pain,2026-01-02,CN-4315709,89,M,MRN-534874,165/61,112,99.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J81\"\"}]\",chest pain,2026-01-04,CN-6665857,20,F,MRN-120861,94/88,100,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K64\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K61\"\"}]\",fever,2026-01-01,CN-9714125,46,F,MRN-417686,114/85,88,97.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I15\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I86\"\"}, {\"\"problem\"\": \"\"diab\",chest pain,2026-01-02,CN-5835083,30,M,MRN-466005,116/72,80,97.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\nproduct_id = \"PROD-107958\"\nname = \"Adaptive asynchronous synergy\"\ncategory = \"electronics\"\nprice = 349.45\ncurrency = \"USD\"\nstock = 717\nis_available = true\nrating = 1.62\nreviews = 33\n\n[specs]\nweight_kg = 15.32\ndimensions = \"74x31x68cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-107958</product_id>\n<name>Adaptive asynchronous synergy</name>\n<category>electronics</category>\n<price>349.45</price>\n<currency>USD</currency>\n<stock>717</stock>\n<is_available>True</is_available>\n<rating>1.62</rating>\n<reviews>33</reviews>\n<specs>\n<weight_kg>15.32</weight_kg>\n<dimensions>74x31x68cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Robust demand-driven hub API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</finally>\n<get>\n<summary>Describe experience pick treatment up remain withi</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//finally>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Robust demand-driven hub API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/finally\": {\n      \"get\": {\n        \"summary\": \"Describe experience pick treatment up remain withi\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-3637179\nproduct_id: PROD-905516\nuser_id: cbc145e7-7f32-438c-ba90-61711bf65a15\nrating: 1\ntitle: Hand ok join you population.\ncontent: Develop particularly receive thing process sister source. Ago short fact\n  start meeting note need. However music factor my million scene use.\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 42\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle: Stand-alone empowering functionalities 101\nschedule:\n- week: 1\n  topic: class\n- week: 2\n  topic: leave\n- week: 3\n  topic: develop\n- week: 4\n  topic: style\n- week: 5\n  topic: again\n- week: 6\n  topic: man\n- week: 7\n  topic: list\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-4504067\",\n  \"patient_mrn\": \"MRN-266543\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 181.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 164.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 140.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 113.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4504067</result_id>\n<patient_mrn>MRN-266543</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>181.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>164.3</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>140.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>113.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"error_id\": \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\",\n  \"timestamp\": \"2026-01-07T13:51:27.797574\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"letService\",\n  \"message\": \"Story quite another important.\",\n  \"stack_trace\": [\n    \"at decision.py:100\",\n    \"at sing.py:289\",\n    \"at long.py:325\",\n    \"at special.py:174\"\n  ],\n  \"context\": {\n    \"user_id\": \"8c36ba55-183c-4481-9cd9-dc049447888c\",\n    \"request_id\": \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>21bf982e-3e24-486f-a8ed-fe9e0227df3b</error_id>\n<timestamp>2026-01-07T13:51:27.797574</timestamp>\n<level>CRITICAL</level>\n<service>letService</service>\n<message>Story quite another important.</message>\n<stack_trace>at decision.py:100</stack_trace>\n<stack_trace>at sing.py:289</stack_trace>\n<stack_trace>at long.py:325</stack_trace>\n<stack_trace>at special.py:174</stack_trace>\n<context>\n<user_id>8c36ba55-183c-4481-9cd9-dc049447888c</user_id>\n<request_id>089e0eaa-71d8-4f30-a2f1-bac42a6b74a3</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9955595\npatient_mrn: MRN-741098\norder_date: '2026-01-01'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 97.0\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 149.4\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 51.8\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 195.3\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 183.7\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 189.9\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 101.4\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\ncourse_id = \"CRS-5570\"\ncode = \"ZMD258\"\ntitle = \"Mandatory leadingedge superstructure 101\"\ninstructor = \"Gregory Dunn\"\ncredits = 3\nterm = \"Spring 2021\"\n[[schedule]]\nweek = 1\ntopic = \"guess\"\n\n[[schedule]]\nweek = 2\ntopic = \"forget\"\n\n[[schedule]]\nweek = 3\ntopic = \"technology\"\n\n[[schedule]]\nweek = 4\ntopic = \"nothing\"\n\n[[schedule]]\nweek = 5\ntopic = \"sea\"\n\n[[schedule]]\nweek = 6\ntopic = \"other\"\n\n[[schedule]]\nweek = 7\ntopic = \"new\"\n\n[[schedule]]\nweek = 8\ntopic = \"report\"\n\n[[schedule]]\nweek = 9\ntopic = \"guy\"\n\n[[schedule]]\nweek = 10\ntopic = \"can\"\n\n[[schedule]]\nweek = 11\ntopic = \"inside\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-5570\ncode: ZMD258\ntitle: Mandatory leadingedge superstructure 101\ninstructor: Gregory Dunn\ncredits: 3\nterm: Spring 2021\nschedule:\n- week: 1\n  topic: guess\n- week: 2\n  topic: forget\n- week: 3\n  topic: technology\n- week: 4\n  topic: nothing\n- week: 5\n  topic: sea\n- week: 6\n  topic: other\n- week: 7\n  topic: new\n- week: 8\n  topic: report\n- week: 9\n  topic: guy\n- week: 10\n  topic: can\n- week: 11\n  topic: inside\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"September 2023\",\n  \"total_revenue\": 9732569,\n  \"units_sold\": 38507,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4979277,\n      \"growth\": 36.06\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4800863,\n      \"growth\": 8.87\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5649\",\n      \"sales\": 311811\n    },\n    {\n      \"sku\": \"SKU-1879\",\n      \"sales\": 391924\n    },\n    {\n      \"sku\": \"SKU-4665\",\n      \"sales\": 317392\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2023</period>\n<total_revenue>9732569</total_revenue>\n<units_sold>38507</units_sold>\n<channels>\n<name>retail</name>\n<revenue>4979277</revenue>\n<growth>36.06</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4800863</revenue>\n<growth>8.87</growth>\n</channels>\n<top_products>\n<sku>SKU-5649</sku>\n<sales>311811</sales>\n</top_products>\n<top_products>\n<sku>SKU-1879</sku>\n<sales>391924</sales>\n</top_products>\n<top_products>\n<sku>SKU-4665</sku>\n<sales>317392</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninfo:\n  title: Multi-tiered directional knowledge user API\n  version: 1.0.0\nopenapi: 3.0.0\npaths:\n  /require:\n    get:\n      summary: Suffer kid pull bed decision rest.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate clinical note data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5751204</note_id>\n<patient>\n<mrn>MRN-566004</mrn>\n<age>47</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>160/96</bp>\n<hr>75</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I93</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-672485,,CRS-8704,,2026-01-01,A,,,,,72.48,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 0, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-183204,,,82,quiz\r\n,PZB112,CRS-5564,3,,,40,30,30,Christine Henderson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"work\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"Congress\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"two\"\"}, {\"\"week\",,,Fall 2023,Devolved object-oriented success 101,,\r\n,BEQ149,CRS-4438,4,,,40,30,30,Tara Boone,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"buy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"keep\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"wear\"\"}, {\"\"week\"\": 4\",,,Spring 2020,Re-engineered intangible orchestration 101,,\r\n,JHT352,CRS-3207,4,,,40,30,30,Charlene Velez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"at\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"role\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"better\"\"}, {\"\"week\"\": \",,,Spring 2023,Fully-configurable composite product 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\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}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-28879814</txn_id>\n<customer_id>b13e97b5-e84b-41ec-9dea-05b4809cdd35</customer_id>\n<timestamp>2026-01-07T13:51:25.895711</timestamp>\n<items>\n<sku>SKU-36351</sku>\n<qty>1</qty>\n<price>310.41</price>\n</items>\n<items>\n<sku>SKU-26629</sku>\n<qty>2</qty>\n<price>119.44</price>\n</items>\n<items>\n<sku>SKU-75447</sku>\n<qty>3</qty>\n<price>127.79</price>\n</items>\n<items>\n<sku>SKU-81003</sku>\n<qty>3</qty>\n<price>336.59</price>\n</items>\n<subtotal>994.66</subtotal>\n<tax>143.59</tax>\n<total>1762.36</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need lab result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4083407\npatient_mrn: MRN-510217\norder_date: '2026-01-04'\npanel: CBC\nresults:\n- test: Hemoglobin\n  value: 115.3\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 150.6\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 72.5\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 116.4\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 90.4\n  unit: mg/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.3653/hXNF</doi>\n</publication>\n<funding_source>Kramer Ltd</funding_source>\n<title>Configurable bandwidth-monitored strategy</title>\n<authors>\n<name>James Brown</name>\n<affiliation>Ward-Davidson</affiliation>\n<email>wilsonkristin@example.org</email>\n</authors>\n<authors>\n<name>Luke Liu</name>\n<affiliation>Obrien-Huynh</affiliation>\n<email>jason08@example.org</email>\n</authors>\n<authors>\n<name>Paula Gonzalez</name>\n<affiliation>Jones-Howell</affiliation>\n<email>brent41@example.org</email>\n</authors>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.3653/hXNF\"\n  },\n  \"funding_source\": \"Kramer Ltd\",\n  \"title\": \"Configurable bandwidth-monitored strategy\",\n  \"authors\": [\n    {\n      \"name\": \"James Brown\",\n      \"affiliation\": \"Ward-Davidson\",\n      \"email\": \"wilsonkristin@example.org\"\n    },\n    {\n      \"name\": \"Luke Liu\",\n      \"affiliation\": \"Obrien-Huynh\",\n      \"email\": \"jason08@example.org\"\n    },\n    {\n      \"name\": \"Paula Gonzalez\",\n      \"affiliation\": \"Jones-Howell\",\n      \"email\": \"brent41@example.org\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\ntimestamp: '2026-01-07T13:51:25.400660'\nitems:\n- sku: SKU-41387\n  qty: 1\n  price: 386.75\ntxn_id: TXN-44773795\ncustomer_id: acd22e98-51a5-48fa-ad66-a69b8fba3f2b\ntax: 171.02\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from YAML to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntimestamp = \"2026-01-07T13:51:25.400660\"\ntxn_id = \"TXN-44773795\"\ncustomer_id = \"acd22e98-51a5-48fa-ad66-a69b8fba3f2b\"\ntax = 171.02\n[[items]]\nsku = \"SKU-41387\"\nqty = 1\nprice = 386.75\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.93852</paper_id>\n<title>Reactive solution-oriented circuit</title>\n<authors>\n<name>Jennifer Gray</name>\n<affiliation>Bryant, Lewis and Wells</affiliation>\n<email>spalmer@example.com</email>\n</authors>\n<authors>\n<name>David Brown</name>\n<affiliation>Cortez, Cook and Ross</affiliation>\n<email>melvin21@example.com</email>\n</authors>\n<abstract>Law fund huge better or. Federal forward north law. Work available call never.\nCarry cultural day front resource write. Southern white pattern fear.</abstract>\n<keywords>wind</keywords>\n<keywords>wife</keywords>\n<keywords>report</keywords>\n<keywords>financial</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.1277/DPuH</doi>\n</publication>\n<citations>45</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.93852\",\n  \"title\": \"Reactive solution-oriented circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Jennifer Gray\",\n      \"affiliation\": \"Bryant, Lewis and Wells\",\n      \"email\": \"spalmer@example.com\"\n    },\n    {\n      \"name\": \"David Brown\",\n      \"affiliation\": \"Cortez, Cook and Ross\",\n      \"email\": \"melvin21@example.com\"\n    }\n  ],\n  \"abstract\": \"Law fund huge better or. Federal forward north law. Work available call never.\\nCarry cultural day front resource write. Southern white pattern fear.\",\n  \"keywords\": [\n    \"wind\",\n    \"wife\",\n    \"report\",\n    \"financial\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.1277/DPuH\"\n  },\n  \"citations\": 45,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-95106885\",\n  \"customer_id\": \"9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\",\n  \"timestamp\": \"2026-01-07T13:51:27.692524\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-33525\",\n      \"qty\": 3,\n      \"price\": 130.6\n    }\n  ],\n  \"subtotal\": 793.41,\n  \"tax\": 85.16,\n  \"total\": 1645.24,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.57295\",\n  \"title\": \"Persevering global groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Edwin Moore\",\n      \"affiliation\": \"Smith-Jones\",\n      \"email\": \"bowenzachary@example.net\"\n    },\n    {\n      \"name\": \"Anna Collins\",\n      \"affiliation\": \"Thomas, Rogers and Baldwin\",\n      \"email\": \"thill@example.com\"\n    },\n    {\n      \"name\": \"Mrs. Mary Delacruz MD\",\n      \"affiliation\": \"French, Rodriguez and Johnson\",\n      \"email\": \"amywest@example.org\"\n    }\n  ],\n  \"abstract\": \"Stand season mind indicate either. Buy gas keep skin.\",\n  \"keywords\": [\n    \"stock\",\n    \"member\",\n    \"laugh\",\n    \"language\",\n    \"right\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.9461/HDZk\"\n  },\n  \"citations\": 204,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6709459</note_id>\n<patient>\n<mrn>MRN-104418</mrn>\n<age>50</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>143/96</bp>\n<hr>69</hr>\n<temp_f>101.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J90</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I22</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K97</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-6709459\",\n  \"patient\": {\n    \"mrn\": \"MRN-104418\",\n    \"age\": 50,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"143/96\",\n    \"hr\": 69,\n    \"temp_f\": 101.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J90\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I22\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K97\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-940168\"\nstudent_id = \"STU-537461\"\ncourse_id = \"CRS-2098\"\ntype = \"quiz\"\ndate = \"2026-01-04\"\ntotal_score = 93\npercentage = 74.54\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-3990665\npatient_mrn: MRN-508219\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 80.7\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 90.9\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 138.0\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 131.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 172.4\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 151.6\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 188.6\n  unit: g/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Grass-roots 6thgeneration ability API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/million\": {\n      \"get\": {\n        \"summary\": \"About little above investment already magazine.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J35\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K44\"\"}, {\"\"problem\",headache,2026-01-03,CN-6952117,50,F,MRN-227055,146/78,63,97.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I94\"\"}]\",chest pain,2026-01-05,CN-2067833,71,F,MRN-675833,168/65,95,98.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K57\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I87\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-01,CN-4751009,29,F,MRN-712542,100/106,116,99.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I60\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I39\"\"}, {\"\"problem\",headache,2026-01-02,CN-5621336,33,M,MRN-749573,179/64,91,98.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K12\"\"}]\",chest pain,2026-01-04,CN-9266051,42,M,MRN-584393,97/87,74,100.8\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-500587\"\ntitle = \"Effect of seem on put\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 59.15\nendpoint = 80.7\np_value = 0.0751\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 25.67\nendpoint = 99.48\np_value = 0.1142\n\n[[results]]\nmetric = \"safety\"\nbaseline = 72.29\nendpoint = 18.69\np_value = 0.2768\n\n[[results]]\nmetric = \"safety\"\nbaseline = 16.24\nendpoint = 94.98\np_value = 0.315\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 806\nduration_days = 332\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CMP,,LAB-5909817,\r\n2026-01-04,CMP,MRN-462147,LAB-7634727,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 125.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 54.4,\"\r\n2026-01-04,CBC,MRN-589168,LAB-5634020,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 158.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"\"\r\n2026-01-04,Lipid,MRN-896773,LAB-7251105,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 86.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-01,Lipid,MRN-702943,LAB-2186458,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 102.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 195.1, \"\"un\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-449984\"\neffective_date = \"2026-01-04\"\nterm_months = 49\nvalue = 694475\nstatus = \"pending\"\n[[parties]]\nname = \"Garcia-Henson\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Moore LLC\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\ncompany: Smith-Glover\nticker: JROI\nquarter: Q3 2023\nrevenue: 95238846\nexpenses: 30652579\nnet_income: 5856951\neps: 7.31\nmetrics:\n  profit_margin: 9.94\n  roe: 10.91\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"Smith-Glover\"\nticker = \"JROI\"\nquarter = \"Q3 2023\"\nrevenue = 95238846\nexpenses = 30652579\nnet_income = 5856951\neps = 7.31\n\n[metrics]\nprofit_margin = 9.94\nroe = 10.91\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nZMD258,CRS-5570,3,40,30,30,Gregory Dunn,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"guess\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"forget\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"technology\"\"}, \",Spring 2021,Mandatory leadingedge superstructure 101\r\nTJT277,CRS-6463,4,40,30,30,Alison Ramsey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"commercial\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"reason\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"police\"\"},\",Fall 2023,Universal needs-based knowledgebase 101\r\nAYQ141,CRS-6236,3,40,30,30,Jesse Greene,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"modern\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"small\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"point\"\"}, {\"\"wee\",Fall 2024,Advanced full-range contingency 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19844803</post_id>\n<platform>instagram</platform>\n<user_id>eee48898-e428-4685-b6ea-d0074f4ffb8a</user_id>\n<username>pinedaryan</username>\n<content>Between past agree writer forget big. Simple glass protect job answer thank.\nGovernment prepare rather agency hard. Fear director room future hospital.</content>\n<timestamp>2026-01-07T13:51:25.753060</timestamp>\n<hashtags>#fast</hashtags>\n<hashtags>#imagine</hashtags>\n<hashtags>#carry</hashtags>\n<engagement>\n<likes>1299</likes>\n<shares>900</shares>\n<comments>90</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-35992455\nplatform: instagram\nuser_id: f136af73-c79b-4191-bd0a-263eeb482611\nusername: hendricksrebecca\ncontent: South man about raise. Sometimes list choice foreign phone partner. Onto\n  get happy peace their sell kid control.\ntimestamp: '2026-01-06T09:43:29.734630'\nhashtags:\n- '#hotel'\n- '#push'\nengagement:\n  likes: 777\n  shares: 739\n  comments: 198\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"I stay little Democrat money where stop. Than development activity.\nAlong ahead their standard early\",,2026-01-05,94,,,,PROD-499626,1,REV-1384784,,,,,Respond out five.,4c396b1f-b1b7-4ef7-9587-0fda03a6f7f9,False\r\nclothing,,USD,,,True,Diverse 24hour capacity,131.84,PROD-283364,1.32,,84,100x78x13cm,3.49,819,,,\r\nclothing,,USD,,,True,Switchable zero-defect architecture,760.42,PROD-170009,1.05,,195,50x100x85cm,8.8,780,,,\r\nbooks,,USD,,,True,Sharable mobile Graphic Interface,292.26,PROD-458849,3.2,,846,58x35x93cm,22.63,269,,,\r\nclothing,,USD,,,True,Cross-group composite Internet solution,720.16,PROD-581074,2.97,,220,90x66x88cm,33.25,949,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"course_id\": \"CRS-8855\",\n  \"code\": \"DBP130\",\n  \"title\": \"Team-oriented 3rdgeneration implementation 101\",\n  \"instructor\": \"Carl Davis\",\n  \"credits\": 3,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"someone\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"bring\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"important\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"he\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"possible\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"office\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"drive\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"Mrs\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nDBP130,CRS-8855,3,40,30,30,Carl Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"manage\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"bring\"\"}, {\"\"w\",Fall 2024,Team-oriented 3rdgeneration implementation 101\r\nTNY170,CRS-8221,3,40,30,30,Nancy Willis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"discuss\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"above\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"adult\"\"}, {\"\"we\",Spring 2020,Virtual value-added migration 101\r\nEEF374,CRS-6073,4,40,30,30,Charles Reynolds,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"drive\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"article\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"fly\"\"}, {\"\"week\",Spring 2023,Managed fresh-thinking flexibility 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5336793</rx_id>\n<patient_mrn>MRN-644295</patient_mrn>\n<prescriber>Thomas Ponce</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5336793\",\n  \"patient_mrn\": \"MRN-644295\",\n  \"prescriber\": \"Thomas Ponce\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: December 2023\ntotal_revenue: 5338205\nunits_sold: 90572\nchannels:\n- name: wholesale\n  revenue: 2316482\n  growth: -1.07\n- name: online\n  revenue: 3744469\n  growth: -0.81\ntop_products:\n- sku: SKU-4601\n  sales: 454934\n- sku: SKU-9892\n  sales: 55264\n- sku: SKU-8319\n  sales: 254442\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-818679\"\ntitle = \"Effect of begin on task\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 17.77\nendpoint = 32.37\np_value = 0.477\n\n[[results]]\nmetric = \"safety\"\nbaseline = 20.98\nendpoint = 13.84\np_value = 0.2984\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 180\nduration_days = 157\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-25055870</post_id>\n<platform>twitter</platform>\n<user_id>28837af0-4898-41b2-8a38-faf0e2d7f431</user_id>\n<username>khahn</username>\n<content>Serve student science today general. Tell risk ball quickly technology.\nDrive because generation support gun message majority. Though do old.</content>\n<timestamp>2026-01-07T13:51:27.403909</timestamp>\n<hashtags>#conference</hashtags>\n<hashtags>#body</hashtags>\n<engagement>\n<likes>9394</likes>\n<shares>444</shares>\n<comments>203</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-25055870\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"28837af0-4898-41b2-8a38-faf0e2d7f431\",\n  \"username\": \"khahn\",\n  \"content\": \"Serve student science today general. Tell risk ball quickly technology.\\nDrive because generation support gun message majority. Though do old.\",\n  \"timestamp\": \"2026-01-07T13:51:27.403909\",\n  \"hashtags\": [\n    \"#conference\",\n    \"#body\"\n  ],\n  \"engagement\": {\n    \"likes\": 9394,\n    \"shares\": 444,\n    \"comments\": 203\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following TOML to JSON:\nperiod = \"February 2020\"\ntotal_revenue = 2007174\nunits_sold = 24558\n[[channels]]\nname = \"online\"\nrevenue = 235807\ngrowth = 46.03\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4419318\ngrowth = 24.35\n\n[[top_products]]\nsku = \"SKU-6554\"\nsales = 258652\n\n[[top_products]]\nsku = \"SKU-8652\"\nsales = 200091\n\n[[top_products]]\nsku = \"SKU-9581\"\nsales = 65110\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2007174,\n  \"units_sold\": 24558,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 235807,\n      \"growth\": 46.03\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4419318,\n      \"growth\": 24.35\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6554\",\n      \"sales\": 258652\n    },\n    {\n      \"sku\": \"SKU-8652\",\n      \"sales\": 200091\n    },\n    {\n      \"sku\": \"SKU-9581\",\n      \"sales\": 65110\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-1823437\",\n  \"headline\": \"Integrated content-based throughput\",\n  \"author\": \"Anna Ortiz\",\n  \"published\": \"2026-01-05T06:32:59.977242\",\n  \"section\": \"Politics\",\n  \"content\": \"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\\nFilm traditional together still member. Culture let serve home.\\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.\",\n  \"tags\": [\n    \"base\",\n    \"fight\",\n    \"test\"\n  ],\n  \"views\": 75522,\n  \"shares\": 3070\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1823437</article_id>\n<headline>Integrated content-based throughput</headline>\n<author>Anna Ortiz</author>\n<published>2026-01-05T06:32:59.977242</published>\n<section>Politics</section>\n<content>Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\nFilm traditional together still member. Culture let serve home.\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.</content>\n<tags>base</tags>\n<tags>fight</tags>\n<tags>test</tags>\n<views>75522</views>\n<shares>3070</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/somebody\": {\n      \"get\": {\n        \"summary\": \"Threat common organization project.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Networked system-worthy project API\",\n    \"version\": \"1.0.0\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<paths>\n</somebody>\n<get>\n<summary>Threat common organization project.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//somebody>\n</paths>\n<info>\n<title>Networked system-worthy project API</title>\n<version>1.0.0</version>\n</info>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2020\"\ntotal_revenue = 5010605\nunits_sold = 4486\n[[channels]]\nname = \"online\"\nrevenue = 4865933\ngrowth = 41.22\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4636446\ngrowth = 21.68\n\n[[top_products]]\nsku = \"SKU-3361\"\nsales = 360256\n\n[[top_products]]\nsku = \"SKU-1576\"\nsales = 355717\n\n[[top_products]]\nsku = \"SKU-8891\"\nsales = 396344\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-1056021\npatient_mrn: MRN-977601\norder_date: '2026-01-02'\npanel: CMP\nresults:\n- test: WBC\n  value: 124.0\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 114.5\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 70.6\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 119.6\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 171.0\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output transaction record as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-72432123</txn_id>\n<customer_id>d14101dd-b47b-4916-b7e5-0ad54eefbb55</customer_id>\n<timestamp>2026-01-07T13:51:26.808008</timestamp>\n<items>\n<sku>SKU-29323</sku>\n<qty>2</qty>\n<price>70.49</price>\n</items>\n<items>\n<sku>SKU-65460</sku>\n<qty>3</qty>\n<price>466.32</price>\n</items>\n<items>\n<sku>SKU-59283</sku>\n<qty>1</qty>\n<price>149.96</price>\n</items>\n<items>\n<sku>SKU-68579</sku>\n<qty>2</qty>\n<price>13.04</price>\n</items>\n<subtotal>1301.16</subtotal>\n<tax>124.54</tax>\n<total>239.49</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9982202</review_id>\n<product_id>PROD-452864</product_id>\n<user_id>015289de-7f3e-45e2-b1d0-7fe22aff92a9</user_id>\n<rating>3</rating>\n<title>Example center fill free.</title>\n<content>North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-640570</contract_id>\n<parties>\n<name>Mitchell-Clark</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Simmons-Marquez</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>52</term_months>\n<value>450714</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-640570\",\n  \"parties\": [\n    {\n      \"name\": \"Mitchell-Clark\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Simmons-Marquez\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 52,\n  \"value\": 450714,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-412331,Tammy Adams,RX-2317847\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-706167,Jeffrey Waller,RX-2061026\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-521258,Laura Hines,RX-4539960\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-727679,James Villanueva,RX-1342691\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopri\",MRN-904364,Wanda Hughes,RX-5866234\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id = \"5642be10-2f96-4bf3-93bb-ea73b498db7e\"\ntimestamp = \"2026-01-07T13:51:27.704310\"\ntotal = 2159.3\ntax = 150.65\n[[items]]\nsku = \"SKU-21107\"\nqty = 2\nprice = 436.86\n\n[[items]]\nsku = \"SKU-34269\"\nqty = 3\nprice = 260.71\n\n[[items]]\nsku = \"SKU-81249\"\nqty = 3\nprice = 416.92\n\n[[items]]\nsku = \"SKU-97216\"\nqty = 3\nprice = 177.96\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1995080</rx_id>\n<patient_mrn>MRN-674224</patient_mrn>\n<prescriber>Emily Herrera</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-1995080\",\n  \"patient_mrn\": \"MRN-674224\",\n  \"prescriber\": \"Emily Herrera\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Secured needs-based Local Area Network API\n  version: 1.0.0\npaths:\n  /story:\n    get:\n      summary: Right around century next pretty.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-46905875\nplatform: instagram\nuser_id: 2079b341-d50b-4860-ba15-aa28bbe0f5b3\nusername: xhernandez\ncontent: 'Serious degree upon late.\n\n  Painting throughout direction indicate night. Political business voice street child.\n  Across between ready. Majority red mission prepare state.'\ntimestamp: '2026-01-07T13:51:26.735117'\nhashtags:\n- '#easy'\n- '#miss'\nengagement:\n  likes: 6808\n  shares: 9\n  comments: 24\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"company\": \"Mcintyre, French and Sherman\",\n  \"ticker\": \"GRIC\",\n  \"quarter\": \"Q4 2021\",\n  \"revenue\": 78125638,\n  \"expenses\": 13448897,\n  \"net_income\": 14876002,\n  \"eps\": 9.04,\n  \"metrics\": {\n    \"profit_margin\": 9.81,\n    \"roe\": 23.34\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Mcintyre, French and Sherman</company>\n<ticker>GRIC</ticker>\n<quarter>Q4 2021</quarter>\n<revenue>78125638</revenue>\n<expenses>13448897</expenses>\n<net_income>14876002</net_income>\n<eps>9.04</eps>\n<metrics>\n<profit_margin>9.81</profit_margin>\n<roe>23.34</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Reactive exuding frame API\"\nversion = \"1.0.0\"\n\n[paths.\"/second\".get]\nsummary = \"Life century work throughout however miss another.\"\n[[paths.\"/second\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/second\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/second\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-4765\ncode: VMZ479\ntitle: Exclusive grid-enabled software 101\ninstructor: Amy Baker\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: show\n- week: 2\n  topic: cut\n- week: 3\n  topic: next\n- week: 4\n  topic: everything\n- week: 5\n  topic: people\n- week: 6\n  topic: international\n- week: 7\n  topic: since\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-33796851\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"aa32cdd3-72c6-4e38-bd5e-ff3918321d73\",\n  \"username\": \"qtownsend\",\n  \"content\": \"List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.\",\n  \"timestamp\": \"2026-01-07T13:51:26.038556\",\n  \"hashtags\": [\n    \"#study\",\n    \"#able\",\n    \"#week\"\n  ],\n  \"engagement\": {\n    \"likes\": 3006,\n    \"shares\": 53,\n    \"comments\": 61\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3440\"\ncode = \"KLD251\"\ntitle = \"Reverse-engineered foreground infrastructure 101\"\ninstructor = \"Courtney Escobar\"\ncredits = 4\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"despite\"\n\n[[schedule]]\nweek = 2\ntopic = \"choose\"\n\n[[schedule]]\nweek = 3\ntopic = \"action\"\n\n[[schedule]]\nweek = 4\ntopic = \"couple\"\n\n[[schedule]]\nweek = 5\ntopic = \"big\"\n\n[[schedule]]\nweek = 6\ntopic = \"trade\"\n\n[[schedule]]\nweek = 7\ntopic = \"measure\"\n\n[[schedule]]\nweek = 8\ntopic = \"music\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nSouth man about raise. Sometimes list choice foreign phone partner. Onto get happy peace their sell ,198,777,739,\"[\"\"#hotel\"\", \"\"#push\"\"]\",instagram,POST-35992455,2026-01-06T09:43:29.734630,f136af73-c79b-4191-bd0a-263eeb482611,hendricksrebecca\r\nSound ok film leader machine college today indicate. Dark rate stage military television around.,260,8032,668,\"[\"\"#early\"\", \"\"#drop\"\", \"\"#listen\"\", \"\"#little\"\"]\",twitter,POST-55810805,2026-01-06T09:43:29.735804,a1af28ab-5dbe-4cbe-8144-e0510879049e,heaton\r\n\"Month describe local bank. Try partner go south seat laugh.\nMemory recent add third ground check pla\",282,2159,727,\"[\"\"#commercial\"\", \"\"#capital\"\", \"\"#all\"\", \"\"#project\"\"]\",twitter,POST-53153690,2026-01-06T09:43:29.736128,7f88c4d3-e781-449b-ad21-601e8103569d,emily84\r\nRest ability poor report there. American long present certainly. Ago audience often agency sound in ,320,7969,535,\"[\"\"#outside\"\", \"\"#defense\"\"]\",twitter,POST-88559651,2026-01-06T09:43:29.736420,90d3696f-e7c4-4b41-a0f0-52aa6e0c8ca8,ronald31\r\nFact challenge quickly through institution. Treatment measure yard organization investment particula,44,5767,309,\"[\"\"#people\"\", \"\"#live\"\"]\",facebook,POST-47503451,2026-01-06T09:43:29.736715,c33dcf93-f872-4971-8e67-732416fdd6be,myork\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-3472120\",\n  \"patient_mrn\": \"MRN-972429\",\n  \"prescriber\": \"Matthew Bennett\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3472120</rx_id>\n<patient_mrn>MRN-972429</patient_mrn>\n<prescriber>Matthew Bennett</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Fully-configurable analyzing instruction set API\n  version: 1.0.0\npaths:\n  /he:\n    get:\n      summary: Student wind item media rather.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-4531276\npatient:\n  mrn: MRN-874268\n  age: 86\n  gender: M\nencounter_date: '2026-01-05'\nchief_complaint: headache\nvitals:\n  bp: 138/78\n  hr: 112\n  temp_f: 98.5\nassessment:\n- problem: diabetes\n  icd10: K89\n- problem: hypertension\n  icd10: J59\n- problem: hypertension\n  icd10: I24\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"May 2020\"\ntotal_revenue = 534039\nunits_sold = 34851\n[[channels]]\nname = \"retail\"\nrevenue = 707158\ngrowth = 43.16\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2548868\ngrowth = 26.24\n\n[[top_products]]\nsku = \"SKU-6020\"\nsales = 18280\n\n[[top_products]]\nsku = \"SKU-3349\"\nsales = 458703\n\n[[top_products]]\nsku = \"SKU-8781\"\nsales = 265385\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.87771</paper_id>\n<title>User-centric stable ability</title>\n<authors>\n<name>Todd Hall MD</name>\n<affiliation>Nunez-Nguyen</affiliation>\n<email>grhodes@example.net</email>\n</authors>\n<authors>\n<name>Makayla Long</name>\n<affiliation>Stanley, Sellers and Jones</affiliation>\n<email>johnsontammy@example.net</email>\n</authors>\n<abstract>Behavior skin nation pay behind remain. Then put again. Process participant current all.</abstract>\n<keywords>design</keywords>\n<keywords>him</keywords>\n<keywords>blue</keywords>\n<keywords>less</keywords>\n<keywords>fine</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.6248/yEgY</doi>\n</publication>\n<citations>194</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.87771\",\n  \"title\": \"User-centric stable ability\",\n  \"authors\": [\n    {\n      \"name\": \"Todd Hall MD\",\n      \"affiliation\": \"Nunez-Nguyen\",\n      \"email\": \"grhodes@example.net\"\n    },\n    {\n      \"name\": \"Makayla Long\",\n      \"affiliation\": \"Stanley, Sellers and Jones\",\n      \"email\": \"johnsontammy@example.net\"\n    }\n  ],\n  \"abstract\": \"Behavior skin nation pay behind remain. Then put again. Process participant current all.\",\n  \"keywords\": [\n    \"design\",\n    \"him\",\n    \"blue\",\n    \"less\",\n    \"fine\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.6248/yEgY\"\n  },\n  \"citations\": 194,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-4513\"\ncode = \"NEE477\"\ntitle = \"Exclusive bottom-line artificial intelligence 101\"\ninstructor = \"Jaime Roman\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"marriage\"\n\n[[schedule]]\nweek = 2\ntopic = \"wonder\"\n\n[[schedule]]\nweek = 3\ntopic = \"system\"\n\n[[schedule]]\nweek = 4\ntopic = \"order\"\n\n[[schedule]]\nweek = 5\ntopic = \"very\"\n\n[[schedule]]\nweek = 6\ntopic = \"laugh\"\n\n[[schedule]]\nweek = 7\ntopic = \"practice\"\n\n[[schedule]]\nweek = 8\ntopic = \"sister\"\n\n[[schedule]]\nweek = 9\ntopic = \"join\"\n\n[[schedule]]\nweek = 10\ntopic = \"expect\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Visionary eco-centric methodology API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</edge>\n<get>\n<summary>Simple really social range.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//edge>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Visionary eco-centric methodology API\n  version: 1.0.0\npaths:\n  /edge:\n    get:\n      summary: Simple really social range.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-86945311</post_id>\n<platform>facebook</platform>\n<user_id>b9da037c-f6cd-4ced-8c95-ca7562cf6118</user_id>\n<username>martinsteven</username>\n<content>Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.</content>\n<timestamp>2026-01-07T13:51:26.810240</timestamp>\n<hashtags>#drop</hashtags>\n<hashtags>#consider</hashtags>\n<hashtags>#nature</hashtags>\n<hashtags>#all</hashtags>\n<engagement>\n<likes>3344</likes>\n<shares>900</shares>\n<comments>482</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id: POST-86945311\nplatform: facebook\nuser_id: b9da037c-f6cd-4ced-8c95-ca7562cf6118\nusername: martinsteven\ncontent: Forget late prevent year cold able arrive. Few possible himself sing community.\n  Activity campaign sure south. Chance on none line best magazine education.\ntimestamp: '2026-01-07T13:51:26.810240'\nhashtags:\n- '#drop'\n- '#consider'\n- '#nature'\n- '#all'\nengagement:\n  likes: 3344\n  shares: 900\n  comments: 482\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from TOML to JSON:\nsubtotal = 1655.93\ntax = 19.12\ntotal = 1424.63\n[[items]]\nsku = \"SKU-62708\"\nqty = 3\nprice = 121.39\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from TOML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"subtotal\": 1655.93,\n  \"items\": [\n    {\n      \"sku\": \"SKU-62708\",\n      \"qty\": 3,\n      \"price\": 121.39\n    }\n  ],\n  \"tax\": 19.12,\n  \"total\": 1424.63\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 3952303, \"\"growth\"\": 2.75}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 3970412, \"\"gro\",,,,,March 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-2514\"\", \"\"sales\"\": 485558}, {\"\"sku\"\": \"\"SKU-5241\"\", \"\"sales\"\": 142515}, {\"\"sku\"\": \"\"SKU-4600\"\", \"\"sa\",2433324,8686\r\nAdult house daughter but short serious. Agree hand career mean.,\"[{\"\"name\"\": \"\"Steven Fernandez\"\", \"\"affiliation\"\": \"\"Gutierrez-Warren\"\", \"\"email\"\": \"\"qgibson@example.com\"\"}, {\"\"\",,107,\"Holland, Garcia and Owens\",\"[\"\"security\"\", \"\"present\"\", \"\"share\"\", \"\"yes\"\", \"\"heavy\"\"]\",arXiv:2021.72507,,10.3146/DNoC,Nature,2022,Networked needs-based approach,,,\r\nAbove health management board institution. Sell since while. Improve bit want shoulder course better,\"[{\"\"name\"\": \"\"James Petersen\"\", \"\"affiliation\"\": \"\"Arnold-Smith\"\", \"\"email\"\": \"\"brandon75@example.org\"\"}, {\"\"name\",,170,\"Rodriguez, Gonzales and Decker\",\"[\"\"offer\"\", \"\"team\"\", \"\"item\"\"]\",arXiv:2022.30243,,10.5369/wkrw,Cell,2022,Devolved asynchronous alliance,,,\r\nStage five grow somebody. Others simply firm writer boy central culture. Pass production stay actual,\"[{\"\"name\"\": \"\"Adrienne Edwards\"\", \"\"affiliation\"\": \"\"Smith-Hernandez\"\", \"\"email\"\": \"\"carlanixon@example.com\"\"}, \",,121,Zimmerman PLC,\"[\"\"teacher\"\", \"\"top\"\", \"\"exactly\"\"]\",arXiv:2022.77777,,10.2791/oMYv,Science,2021,Digitized value-added alliance,,,\r\nGuy decide general. Partner avoid pressure ten bit beat white blood.,\"[{\"\"name\"\": \"\"Yolanda Wells\"\", \"\"affiliation\"\": \"\"Stewart, Garcia and Chavez\"\", \"\"email\"\": \"\"stevensonrenee@exa\",,211,White-Collins,\"[\"\"language\"\", \"\"article\"\", \"\"character\"\", \"\"argue\"\"]\",arXiv:2021.35384,,10.9321/SyHJ,Science,2022,Synchronized fault-tolerant forecast,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2024</period>\n<total_revenue>2433324</total_revenue>\n<units_sold>8686</units_sold>\n<channels>\n<name>online</name>\n<revenue>3952303</revenue>\n<growth>2.75</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3970412</revenue>\n<growth>12.57</growth>\n</channels>\n<top_products>\n<sku>SKU-2514</sku>\n<sales>485558</sales>\n</top_products>\n<top_products>\n<sku>SKU-5241</sku>\n<sales>142515</sales>\n</top_products>\n<top_products>\n<sku>SKU-4600</sku>\n<sales>420300</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"May 2020\"\ntotal_revenue = 9864225\nunits_sold = 74086\n[[channels]]\nname = \"online\"\nrevenue = 906832\ngrowth = -8.93\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 2437365\ngrowth = 2.73\n\n[[top_products]]\nsku = \"SKU-7032\"\nsales = 420063\n\n[[top_products]]\nsku = \"SKU-9360\"\nsales = 149398\n\n[[top_products]]\nsku = \"SKU-9440\"\nsales = 105905\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 5010605,\n  \"units_sold\": 4486,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 4865933,\n      \"growth\": 41.22\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4636446,\n      \"growth\": 21.68\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3361\",\n      \"sales\": 360256\n    },\n    {\n      \"sku\": \"SKU-1576\",\n      \"sales\": 355717\n    },\n    {\n      \"sku\": \"SKU-8891\",\n      \"sales\": 396344\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>5010605</total_revenue>\n<units_sold>4486</units_sold>\n<channels>\n<name>online</name>\n<revenue>4865933</revenue>\n<growth>41.22</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4636446</revenue>\n<growth>21.68</growth>\n</channels>\n<top_products>\n<sku>SKU-3361</sku>\n<sales>360256</sales>\n</top_products>\n<top_products>\n<sku>SKU-1576</sku>\n<sales>355717</sales>\n</top_products>\n<top_products>\n<sku>SKU-8891</sku>\n<sales>396344</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need student assessment details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-839967,,CRS-8089,,2026-01-05,A,,,,,51.06,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-815047,,,59,assignment\r\n,DQL364,CRS-6023,3,,,40,30,30,Dennis Turner,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"great\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"have\"\"}, {\"\"wee\",,,Spring 2021,Reactive incremental collaboration 101,,\r\n,ZZQ465,CRS-3289,4,,,40,30,30,Janice Curtis,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"near\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"level\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"outside\"\"}, {\"\"wee\",,,Fall 2024,Visionary intangible strategy 101,,\r\n,FRE189,CRS-3113,4,,,40,30,30,Drew Carroll,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"determine\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"tree\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"always\"\"}, {\"\"\",,,Fall 2020,Devolved logistical website 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 40.85,\n      \"endpoint\": 40.08,\n      \"p_value\": 0.4196\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 82.87,\n      \"endpoint\": 28.4,\n      \"p_value\": 0.208\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 74.0,\n      \"endpoint\": 18.43,\n      \"p_value\": 0.3638\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.48,\n      \"endpoint\": 15.59,\n      \"p_value\": 0.1146\n    }\n  ],\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 351,\n    \"duration_days\": 339\n  },\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 40.85\nendpoint = 40.08\np_value = 0.4196\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 82.87\nendpoint = 28.4\np_value = 0.208\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 74.0\nendpoint = 18.43\np_value = 0.3638\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 50.48\nendpoint = 15.59\np_value = 0.1146\n\n[methodology]\ndesign = \"observational\"\nsample_size = 351\nduration_days = 339\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"result_id\": \"LAB-2309770\",\n  \"patient_mrn\": \"MRN-380513\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 62.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 75.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 174.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 170.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2309770</result_id>\n<patient_mrn>MRN-380513</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>62.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>75.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>170.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate social media post data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-49469407\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"c776cd7c-2538-4c81-83c8-03afd724bed1\",\n  \"username\": \"donald18\",\n  \"content\": \"Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.\",\n  \"timestamp\": \"2026-01-07T13:51:26.031233\",\n  \"hashtags\": [\n    \"#daughter\",\n    \"#after\",\n    \"#affect\",\n    \"#goal\"\n  ],\n  \"engagement\": {\n    \"likes\": 2564,\n    \"shares\": 187,\n    \"comments\": 95\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate experiment result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-139463\",\n  \"title\": \"Effect of quite on arm\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 371,\n    \"duration_days\": 284\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 91.61,\n      \"endpoint\": 76.9,\n      \"p_value\": 0.4003\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 58.96,\n      \"endpoint\": 23.83,\n      \"p_value\": 0.3437\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 23.31,\n      \"endpoint\": 88.63,\n      \"p_value\": 0.3018\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this JSON data into YAML format:\n{\n  \"term_months\": 34,\n  \"parties\": [\n    {\n      \"name\": \"Garza-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Griffin-Weaver\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"status\": \"executed\",\n  \"effective_date\": \"2026-01-01\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from JSON to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nterm_months: 34\nparties:\n- name: Garza-Henson\n  role: party_a\n- name: Griffin-Weaver\n  role: party_b\nstatus: executed\neffective_date: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output course syllabus as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-5570\ncode: ZMD258\ntitle: Mandatory leadingedge superstructure 101\ninstructor: Gregory Dunn\ncredits: 3\nterm: Spring 2021\nschedule:\n- week: 1\n  topic: guess\n- week: 2\n  topic: forget\n- week: 3\n  topic: technology\n- week: 4\n  topic: nothing\n- week: 5\n  topic: sea\n- week: 6\n  topic: other\n- week: 7\n  topic: new\n- week: 8\n  topic: report\n- week: 9\n  topic: guy\n- week: 10\n  topic: can\n- week: 11\n  topic: inside\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<vitals>\n<bp>131/104</bp>\n<hr>84</hr>\n<temp_f>99.9</temp_f>\n</vitals>\n<note_id>CN-3823498</note_id>\n<encounter_date>2026-01-06</encounter_date>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n,,2026-01-06,CN-3823498,,,,131/104,84,99.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K48\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K13\"\"}]\",fever,2026-01-06,CN-5143623,45,F,MRN-821610,174/60,79,100.2\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I34\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K71\"\"}]\",fever,2026-01-04,CN-4602383,58,F,MRN-126591,156/110,79,98.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need news article details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-6059003,Yvonne Barnes,\"Fine word growth guess may their sit.\nCold buy thank effect human job. Tree book Democrat.\nInstead a\",Secured transitional application,,,,\"[\"\"player\"\", \"\"international\"\", \"\"prepare\"\", \"\"rise\"\"]\",\r\nART-7613593,Zachary Gonzalez,\"Figure ten weight. Heavy little decision.\nEast ago outside full official tend. Eye play see oil head\",Ergonomic fresh-thinking encryption,2026-01-02T14:47:14.095072,Sports,2337,\"[\"\"game\"\", \"\"strategy\"\", \"\"particular\"\"]\",53982\r\nART-2067403,Mike Monroe,\"Single job place must course. Claim star could maybe church difficult decade.\nCard want use rate com\",Devolved intermediate access,2026-01-01T05:31:08.549853,Business,2851,\"[\"\"three\"\", \"\"voice\"\", \"\"situation\"\"]\",54157\r\nART-7974303,Charles Villanueva,\"Able community picture this yes green worker. Compare history manager trip test.\nBaby you side momen\",Face-to-face discrete time-frame,2026-01-05T00:55:41.227175,Tech,2877,\"[\"\"kitchen\"\", \"\"quickly\"\", \"\"certain\"\"]\",37275\r\nART-8909028,Ryan Espinoza,Some difference none Democrat. Authority talk cause help. Yeah realize young work. Allow particularl,Fully-configurable web-enabled projection,2026-01-04T07:24:40.499928,Business,3950,\"[\"\"situation\"\", \"\"wish\"\", \"\"attorney\"\"]\",95384\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Speech can sea play. Season near story animal remain.\nOff present vote wall. Society know family bui\",161,248,32,\"[\"\"#once\"\", \"\"#it\"\", \"\"#rich\"\", \"\"#keep\"\"]\",instagram,POST-58559815,2026-01-07T13:51:26.463560,0fae79ab-dabb-47f5-823b-f22743181c7c,ortizkristina\r\nTechnology subject market. This and left hair hour important whatever outside. Hear evidence parent ,97,1028,267,\"[\"\"#station\"\", \"\"#key\"\"]\",facebook,POST-56873412,2026-01-07T13:51:26.464950,6ae9ae62-20d4-40e8-b046-c02de1e12018,april62\r\n\"Them per ground quite common. Determine rest imagine less. Throughout back give.\nRisk church treatme\",276,4105,359,\"[\"\"#consumer\"\", \"\"#dinner\"\", \"\"#national\"\", \"\"#amount\"\"]\",twitter,POST-66004552,2026-01-07T13:51:26.465520,e0b5b01d-c32c-441f-9bce-4fbc6c6db3e8,kathyanderson\r\n\"Least should break he look door establish. Indeed later again.\nRule economic old anything line term.\",209,1083,187,\"[\"\"#set\"\", \"\"#apply\"\", \"\"#control\"\"]\",twitter,POST-73257797,2026-01-07T13:51:26.466224,5c140188-df51-432a-9479-7339507a516a,randallbailey\r\n\"Matter on word suddenly myself lead admit. Network half program home someone financial within.\nExpla\",280,645,355,\"[\"\"#break\"\", \"\"#nor\"\", \"\"#almost\"\", \"\"#mind\"\"]\",instagram,POST-28207122,2026-01-07T13:51:26.466901,d7bc5771-d243-4900-8d43-f914044b162b,martinezjill\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nFlynn-Carr,3.22,22495171,10.13,21.35,14569315,Q4 2021,73436291,MRVI\r\nSmith-Holloway,2.62,16452777,21.98,12.78,9427055,Q4 2023,30263775,LBRS\r\n\"Thomas, Keith and Davis\",6.33,2995049,25.27,16.17,9414126,Q4 2022,58661382,HROP\r\n\"Morales, Frost and Martin\",9.25,26981109,16.67,9.44,5993376,Q4 2024,18983226,AUBX\r\nJarvis-Hubbard,3.49,71742430,13.17,9.43,5452309,Q4 2023,35021966,FQSR\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-3862921,Dale Steele,Pay property situation cover opportunity become technology. How face action everything long across s,Vision-oriented tertiary project,2026-01-02T20:57:14.722791,Business,870,\"[\"\"east\"\", \"\"above\"\", \"\"television\"\", \"\"military\"\", \"\"million\"\"]\",54475\r\nART-4855617,James Warner,Single middle popular recognize. Something call gun article. Out ahead matter foot herself several d,Fundamental reciprocal frame,2026-01-06T02:33:54.777113,Tech,1146,\"[\"\"down\"\", \"\"course\"\", \"\"yourself\"\", \"\"two\"\", \"\"trial\"\"]\",74331\r\nART-8830446,Stephen Valdez,Present nation firm every walk dark central use. Hard staff others way. Until commercial attorney st,Robust solution-oriented structure,2026-01-03T05:35:05.913994,Business,346,\"[\"\"seven\"\", \"\"physical\"\", \"\"too\"\"]\",54456\r\nART-7137428,Robert Cohen,\"Beat conference allow himself perhaps buy why. Deep visit your enjoy.\nHuge game impact city. Maintai\",Open-architected regional core,2026-01-01T22:10:38.185637,Politics,563,\"[\"\"whether\"\", \"\"natural\"\", \"\"plan\"\", \"\"itself\"\"]\",37927\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5646798,Joshua Bell,List road lay not year. Congress gas full particular according. Prevent hear century game friend civ,Switchable hybrid groupware,2026-01-05T05:31:42.088007,Business,596,\"[\"\"author\"\", \"\"son\"\", \"\"food\"\"]\",74484\r\nART-2254015,Rachel Dunn,\"Policy message ready book outside. Prove leader full everything tell agent.\nDefense right shoulder l\",Customizable zero-defect solution,2026-01-01T17:12:22.480515,Sports,2743,\"[\"\"hundred\"\", \"\"wait\"\", \"\"within\"\", \"\"minute\"\"]\",726\r\nART-7615310,Samantha Pope,\"Newspaper nothing make policy key policy. Hit hard individual military arrive.\nApproach see road bag\",Ergonomic composite migration,2026-01-06T07:23:19.216455,Business,2428,\"[\"\"situation\"\", \"\"despite\"\", \"\"throw\"\"]\",58030\r\nART-6728296,Gregory Pratt,Wrong buy eight forward exist usually. Toward my fall let forget door. Respond capital trip exist in,Proactive non-volatile ability,2026-01-02T11:24:20.035798,Business,445,\"[\"\"wonder\"\", \"\"quite\"\", \"\"enjoy\"\"]\",77809\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nRichard Ltd,4.63,54916122,14.39,19.33,1190834,Q4 2020,71255223,XHCL\r\nHayes-Saunders,9.88,61967267,12.94,18.69,17077718,Q3 2021,60264470,CZNY\r\n\"Montes, Cook and Morrison\",1.12,61025572,17.08,16.56,665787,Q2 2024,1475042,WCTY\r\n\"Pitts, Barnes and Adams\",2.04,2865401,10.62,13.19,16591840,Q1 2022,65764775,QATD\r\n\"Ellis, Brown and Lee\",2.55,29896802,28.99,11.73,8444401,Q2 2024,58955391,LPHN\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock,title\r\n,\"Arrive much low will teach. By possible nature learn could. Act hot whole guy experience.\nIdentify w\",,2026-01-02,,,,PROD-922306,,,,,,Exactly almost full new record save.\r\nclothing,,USD,,True,Multi-layered multi-state website,296.23,PROD-588177,3.98,223,43x94x88cm,15.03,95,\r\nclothing,,USD,,True,Realigned leadingedge frame,301.77,PROD-401757,2.55,650,71x35x17cm,31.66,815,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-170523,LAB-8800763,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 189.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-05,Lipid,MRN-633936,LAB-7833279,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 186.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n2026-01-04,CBC,MRN-795838,LAB-8696167,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 198.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 58\"\r\n2026-01-05,CMP,MRN-407482,LAB-2885469,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 71.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3041313\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I84\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J93\"\n\n[patient]\nmrn = \"MRN-164256\"\nage = 45\ngender = \"F\"\n\n[vitals]\nbp = \"153/76\"\nhr = 98\ntemp_f = 102.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"result_id\": \"LAB-3990665\",\n  \"patient_mrn\": \"MRN-508219\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 80.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 90.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 138.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 151.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id: LAB-3990665\npatient_mrn: MRN-508219\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 80.7\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 90.9\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 138.0\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 131.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 172.4\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 151.6\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 188.6\n  unit: g/dL\n  flag: high\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I24</icd10>\n</assessment>\n<encounter_date>2026-01-06</encounter_date>\n<patient>\n<mrn>MRN-470382</mrn>\n<age>61</age>\n<gender>F</gender>\n</patient>\n<note_id>CN-3244099</note_id>\n<vitals>\n<bp>158/77</bp>\n<hr>112</hr>\n<temp_f>99.5</temp_f>\n</vitals>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-3022361\"\npatient_mrn = \"MRN-726192\"\nprescriber = \"Jessica Warner\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Seamless disintermediate flexibility API\n  version: 1.0.0\npaths:\n  /significant:\n    get:\n      summary: Box project skin day catch.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Organic homogeneous functionalities API\n  version: 1.0.0\npaths:\n  /adult:\n    get:\n      summary: Choice whatever five artist evidence produce.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nvitals:\n  bp: 97/107\n  hr: 107\n  temp_f: 99.6\npatient:\n  mrn: MRN-705297\n  age: 67\n  gender: F\nchief_complaint: chest pain\nassessment:\n- problem: hypertension\n  icd10: K41\n- problem: hypertension\n  icd10: J91\n- problem: hypertension\n  icd10: J64\nnote_id: CN-6154695\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-4601\"\ncode = \"GWP450\"\ntitle = \"Monitored optimal initiative 101\"\ninstructor = \"Ann Mcbride\"\ncredits = 3\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"past\"\n\n[[schedule]]\nweek = 2\ntopic = \"almost\"\n\n[[schedule]]\nweek = 3\ntopic = \"have\"\n\n[[schedule]]\nweek = 4\ntopic = \"compare\"\n\n[[schedule]]\nweek = 5\ntopic = \"way\"\n\n[[schedule]]\nweek = 6\ntopic = \"fear\"\n\n[[schedule]]\nweek = 7\ntopic = \"condition\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.21424</paper_id>\n<title>Cross-platform fault-tolerant circuit</title>\n<authors>\n<name>Charlotte Sellers</name>\n<affiliation>Armstrong-Marks</affiliation>\n<email>weaverelizabeth@example.com</email>\n</authors>\n<authors>\n<name>Cynthia Johnston MD</name>\n<affiliation>Rogers Inc</affiliation>\n<email>ccastaneda@example.org</email>\n</authors>\n<authors>\n<name>Robert Velasquez</name>\n<affiliation>Alvarado LLC</affiliation>\n<email>psullivan@example.net</email>\n</authors>\n<abstract>Truth himself long country car environment. Free design relate hope admit learn identify.</abstract>\n<keywords>share</keywords>\n<keywords>feeling</keywords>\n<keywords>environmental</keywords>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6091/Sfwn</doi>\n</publication>\n<citations>477</citations>\n<funding_source>Barker-Wise</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"post_id\": \"POST-78635818\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"a739269a-9642-463c-9c88-cb97c795c8d8\",\n  \"username\": \"kevin10\",\n  \"content\": \"Specific other kind choice. Condition main resource finish north reach with break. Area strategy huge edge.\",\n  \"timestamp\": \"2026-01-07T13:51:25.965362\",\n  \"hashtags\": [\n    \"#model\",\n    \"#firm\"\n  ],\n  \"engagement\": {\n    \"likes\": 3831,\n    \"shares\": 379,\n    \"comments\": 204\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nSpecific other kind choice. Condition main resource finish north reach with break. Area strategy hug,204,3831,379,\"[\"\"#model\"\", \"\"#firm\"\"]\",facebook,POST-78635818,2026-01-07T13:51:25.965362,a739269a-9642-463c-9c88-cb97c795c8d8,kevin10\r\n\"Happen hold place decision eight yeah another performance. Mother same teacher step receive.\nAnswer \",460,1163,231,\"[\"\"#fill\"\", \"\"#blood\"\"]\",twitter,POST-41903911,2026-01-07T13:51:25.967869,eb3a0a35-2686-4085-a1ef-8e4471021524,jessica37\r\n\"Issue wonder fight blood. Have nearly protect.\nDebate response kid claim up. And either view ball.\nT\",352,9232,1,\"[\"\"#consider\"\", \"\"#old\"\", \"\"#window\"\"]\",facebook,POST-34325917,2026-01-07T13:51:25.968216,01d66a28-f522-413f-abe9-ca75980d44b7,cassidy60\r\nEntire call want man so political work. His new each western time each. Thing part political who mov,357,5433,191,\"[\"\"#spring\"\", \"\"#part\"\"]\",twitter,POST-18455284,2026-01-07T13:51:25.968594,0c574abb-ce5d-47a9-9962-6df013221b3e,phillipsbecky\r\n\"Door during company factor he key.\nEarly movement summer along will ok. Ok show thought. Cell score \",295,920,845,\"[\"\"#politics\"\", \"\"#represent\"\"]\",instagram,POST-18820580,2026-01-07T13:51:25.968959,46efbc86-2800-4e13-a7d9-9de97b0bc5ee,qhunter\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-577861\"\nstudent_id = \"STU-664280\"\ncourse_id = \"CRS-8099\"\ntype = \"exam\"\ndate = \"2026-01-06\"\ntotal_score = 52\npercentage = 81.98\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2804449</note_id>\n<patient>\n<mrn>MRN-394213</mrn>\n<age>73</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>162/64</bp>\n<hr>70</hr>\n<temp_f>102.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-2804449\",\n  \"patient\": {\n    \"mrn\": \"MRN-394213\",\n    \"age\": 73,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"162/64\",\n    \"hr\": 70,\n    \"temp_f\": 102.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K44\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Board analysis chair. Time series least.\nInclude responsibility interesting forget mother night. Tur\",69,3104,170,\"[\"\"#perhaps\"\", \"\"#ability\"\"]\",instagram,POST-15053250,2026-01-06T09:43:30.348727,0af1727a-eda0-459c-a65e-3f6eab84a06f,jose17\r\n\"See provide third charge. Figure significant risk cause.\nHave serve lot form fight respond. Chance b\",44,2862,434,\"[\"\"#world\"\", \"\"#wife\"\", \"\"#population\"\", \"\"#threat\"\"]\",twitter,POST-10340192,2026-01-06T09:43:30.351176,ac0dc76f-a173-4601-99e9-697765b14373,kingchristopher\r\nClearly left responsibility heart smile hope. Can begin professor safe. Interview check investment f,165,4306,766,\"[\"\"#try\"\", \"\"#professor\"\"]\",instagram,POST-18009804,2026-01-06T09:43:30.351732,0f32f690-ea67-46be-84c5-161dddb636c1,alexander81\r\n\"Finish anything next.\nPrevent build hair choose drive happy. Table believe professor loss exactly si\",350,4824,208,\"[\"\"#per\"\", \"\"#available\"\", \"\"#figure\"\", \"\"#boy\"\"]\",instagram,POST-99289440,2026-01-06T09:43:30.352362,20a8a62e-0f0a-44cc-a00a-f6167522cee7,wkhan\r\nFinally today fly activity plan beyond. Fear all speak town no open society. Prevent medical night d,217,2829,590,\"[\"\"#respond\"\", \"\"#allow\"\"]\",twitter,POST-70446682,2026-01-06T09:43:30.353111,03558d63-3154-4920-9c9a-89db7e6fca5e,patricksmith\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate prescription data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-6036951\",\n  \"patient_mrn\": \"MRN-440463\",\n  \"prescriber\": \"Lisa Mathews\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.99214</paper_id>\n<title>Integrated mobile database</title>\n<authors>\n<name>Clayton Martinez</name>\n<affiliation>Flores, Levy and Farmer</affiliation>\n<email>kathy80@example.org</email>\n</authors>\n<authors>\n<name>Susan Bennett</name>\n<affiliation>Collins, Daniel and Lyons</affiliation>\n<email>shawnjefferson@example.org</email>\n</authors>\n<abstract>Full with spend role first drive. Want man instead today bed hand character.</abstract>\n<keywords>bed</keywords>\n<keywords>very</keywords>\n<keywords>population</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2023</year>\n<doi>10.4640/CkqB</doi>\n</publication>\n<citations>395</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-996269</assessment_id>\n<student_id>STU-878254</student_id>\n<course_id>CRS-8988</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>71</total_score>\n<percentage>94.86</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-996269\",\n  \"student_id\": \"STU-878254\",\n  \"course_id\": \"CRS-8988\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 71,\n  \"percentage\": 94.86,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-6709459\",\n  \"patient\": {\n    \"mrn\": \"MRN-104418\",\n    \"age\": 50,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-03\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"143/96\",\n    \"hr\": 69,\n    \"temp_f\": 101.3\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J90\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I22\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K97\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-436609,,CRS-9153,,2026-01-01,A,,,,,95.63,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 9, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-981453,,,51,exam\r\n,HHC202,CRS-8504,4,,,40,30,30,Bridget Roberts,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"rate\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"enough\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"as\"\"}, {\"\"week\"\": \",,,Spring 2024,Customer-focused coherent data-warehouse 101,,\r\n,ILG322,CRS-6342,4,,,40,30,30,James Martinez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"happy\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"role\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"bad\"\"}, {\"\"week\"\": \",,,Fall 2022,Visionary multi-state contingency 101,,\r\n,ADC484,CRS-9341,4,,,40,30,30,Blake Cameron,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"common\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"most\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"think\"\"}, {\"\"week\",,,Spring 2023,Innovative real-time data-warehouse 101,,\r\n,CCI227,CRS-8365,3,,,40,30,30,Michael Hall,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"stand\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"available\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"letter\"\"}, {\",,,Fall 2022,Robust uniform Graphical User Interface 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"info\": {\n    \"title\": \"Object-based multimedia secured line API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/party\": {\n      \"get\": {\n        \"summary\": \"Discussion partner stay wear again.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.69453\ntitle: Assimilated needs-based portal\nauthors:\n- name: Evan Reed\n  affiliation: Orr, Wheeler and Johnson\n  email: cheryl05@example.net\n- name: Amanda Mcmahon\n  affiliation: Maxwell-Price\n  email: mbowen@example.org\n- name: Angel Vasquez\n  affiliation: Melendez, Osborne and Harris\n  email: timothysutton@example.com\nabstract: Economy instead thank kitchen. For pattern he purpose strong goal challenge.\nkeywords:\n- power\n- main\n- light\n- form\n- system\npublication:\n  venue: Cell\n  year: 2024\n  doi: 10.9550/gbOm\ncitations: 115\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-86136198\nplatform: twitter\nuser_id: 3fc1294e-2839-49b6-8631-92455943ed7f\nusername: martinchristopher\ncontent: 'Try system possible ball.\n\n  Morning interview respond service claim voice international. Likely next ask member\n  scene man. Coach opportunity town other what.'\ntimestamp: '2026-01-06T09:43:32.853135'\nhashtags:\n- '#argue'\n- '#brother'\n- '#and'\nengagement:\n  likes: 7505\n  shares: 513\n  comments: 396\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,080929c4-3fbd-40eb-bc2f-bba8e6be8243,dc933ca4-1b99-4133-b2f1-d6ffa34ca7c6,04fc9fc0-d7ed-4a22-ad0d-a2c11cc5fbd0,,,CRITICAL,Myself standard late treatment rule.,,,,,conditionService,\"[\"\"at knowledge.py:423\"\", \"\"at expect.py:191\"\"]\",2026-01-06T09:43:32.507568,\r\n\"Everybody enter this those girl establish would. Enter floor trial much read experience many.\nCandid\",\"[{\"\"name\"\": \"\"Nancy Hughes\"\", \"\"affiliation\"\": \"\"Harris-Herrera\"\", \"\"email\"\": \"\"cantrellsydney@example.org\"\"}, {\",266,,,,None,\"[\"\"enter\"\", \"\"rock\"\", \"\"they\"\", \"\"personal\"\"]\",,,arXiv:2022.70664,10.4366/QnYF,Science,2024,,,,Multi-channeled multi-state matrices\r\nType year drop interview close well. Local any executive. Relationship member both professional.,\"[{\"\"name\"\": \"\"Nancy Mckinney\"\", \"\"affiliation\"\": \"\"Castro Inc\"\", \"\"email\"\": \"\"lcarter@example.org\"\"}, {\"\"name\"\": \"\"\",122,,,,Wolfe-Hunt,\"[\"\"television\"\", \"\"third\"\", \"\"area\"\", \"\"Democrat\"\", \"\"fill\"\"]\",,,arXiv:2021.84698,10.9698/jZLw,Science,2021,,,,Open-source multimedia matrices\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"August 2024\"\ntotal_revenue = 2493980\nunits_sold = 42293\n[[channels]]\nname = \"retail\"\nrevenue = 1731538\ngrowth = 19.74\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4707421\ngrowth = 25.28\n\n[[top_products]]\nsku = \"SKU-4259\"\nsales = 461117\n\n[[top_products]]\nsku = \"SKU-4056\"\nsales = 457473\n\n[[top_products]]\nsku = \"SKU-4682\"\nsales = 34457\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,CMP,MRN-369371,LAB-2983714,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 97.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 6\"\r\n2026-01-06,CMP,MRN-845661,LAB-9796047,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 51.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-05,CMP,MRN-555169,LAB-9578711,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 70.\"\r\n2026-01-06,Lipid,MRN-411824,LAB-5603358,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 68.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 18\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-672485</assessment_id>\n<student_id>STU-183204</student_id>\n<course_id>CRS-8704</course_id>\n<type>quiz</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>82</total_score>\n<percentage>72.48</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-672485\",\n  \"student_id\": \"STU-183204\",\n  \"course_id\": \"CRS-8704\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 82,\n  \"percentage\": 72.48,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nunits_sold: 11543\nperiod: June 2021\nchannels:\n- name: online\n  revenue: 1417680\n  growth: 41.94\n- name: wholesale\n  revenue: 3176166\n  growth: 26.78\ntotal_revenue: 8223229\ntop_products:\n- sku: SKU-9002\n  sales: 412560\n- sku: SKU-3918\n  sales: 426996\n- sku: SKU-1618\n  sales: 496165\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output course syllabus as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,grading_final,grading_homework,grading_midterm,instructor,keywords,paper_id,publication_doi,publication_venue,publication_year,schedule,title\r\n,,,,40,30,30,Matthew Harmon,,,,,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"protect\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"structure\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"hear\"\"}, {\",\r\n\"Year direction second own. Short upon style.\nRange man let avoid owner. Show cold once more. Under y\",\"[{\"\"name\"\": \"\"Michelle Brown\"\", \"\"affiliation\"\": \"\"Roberts, Hill and Perkins\"\", \"\"email\"\": \"\"christinarichards@\",272,None,,,,,\"[\"\"either\"\", \"\"state\"\", \"\"job\"\", \"\"since\"\", \"\"begin\"\"]\",arXiv:2023.84562,10.3500/tcBr,Science,2022,,Enhanced web-enabled help-desk\r\nRisk thank but meet. Level author apply radio toward she.,\"[{\"\"name\"\": \"\"Kimberly Green\"\", \"\"affiliation\"\": \"\"Sawyer Inc\"\", \"\"email\"\": \"\"patriciachang@example.org\"\"}, {\"\"na\",67,None,,,,,\"[\"\"war\"\", \"\"social\"\", \"\"staff\"\", \"\"call\"\", \"\"data\"\"]\",arXiv:2021.79713,10.4992/Psgs,Cell,2023,,Object-based foreground ability\r\nDiscover save look note girl. Develop number total represent probably art onto. Hope production even,\"[{\"\"name\"\": \"\"Angela Barnett\"\", \"\"affiliation\"\": \"\"Rivera, Smith and Cochran\"\", \"\"email\"\": \"\"yjohnson@example.o\",183,None,,,,,\"[\"\"look\"\", \"\"when\"\", \"\"commercial\"\", \"\"increase\"\", \"\"class\"\"]\",arXiv:2020.82267,10.3672/VGPC,Nature,2023,,Proactive non-volatile service-desk\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1823437</article_id>\n<headline>Integrated content-based throughput</headline>\n<author>Anna Ortiz</author>\n<published>2026-01-05T06:32:59.977242</published>\n<section>Politics</section>\n<content>Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\nFilm traditional together still member. Culture let serve home.\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.</content>\n<tags>base</tags>\n<tags>fight</tags>\n<tags>test</tags>\n<views>75522</views>\n<shares>3070</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-1823437\",\n  \"headline\": \"Integrated content-based throughput\",\n  \"author\": \"Anna Ortiz\",\n  \"published\": \"2026-01-05T06:32:59.977242\",\n  \"section\": \"Politics\",\n  \"content\": \"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\\nFilm traditional together still member. Culture let serve home.\\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.\",\n  \"tags\": [\n    \"base\",\n    \"fight\",\n    \"test\"\n  ],\n  \"views\": 75522,\n  \"shares\": 3070\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-762147\"\ntitle = \"Effect of wonder on apply\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 56.37\nendpoint = 85.42\np_value = 0.3114\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 30.5\nendpoint = 78.74\np_value = 0.2403\n\n[[results]]\nmetric = \"safety\"\nbaseline = 76.2\nendpoint = 12.28\np_value = 0.0372\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 372\nduration_days = 276\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>December 2023</period>\n<total_revenue>5338205</total_revenue>\n<units_sold>90572</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2316482</revenue>\n<growth>-1.07</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3744469</revenue>\n<growth>-0.81</growth>\n</channels>\n<top_products>\n<sku>SKU-4601</sku>\n<sales>454934</sales>\n</top_products>\n<top_products>\n<sku>SKU-9892</sku>\n<sales>55264</sales>\n</top_products>\n<top_products>\n<sku>SKU-8319</sku>\n<sales>254442</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-5646798\nheadline: Switchable hybrid groupware\nauthor: Joshua Bell\npublished: '2026-01-05T05:31:42.088007'\nsection: Business\ncontent: 'List road lay not year. Congress gas full particular according. Prevent\n  hear century game friend civil live.\n\n  Possible option especially woman. Ahead down suffer doctor six traditional. Prove\n  ready American star impact operation just. Difficult yourself difficult base of\n  four letter.'\ntags:\n- author\n- son\n- food\nviews: 74484\nshares: 596\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-506156\ntitle: Effect of window on soldier\nmethodology:\n  design: observational\n  sample_size: 884\n  duration_days: 87\nresults:\n- metric: safety\n  baseline: 32.86\n  endpoint: 81.82\n  p_value: 0.3265\n- metric: efficacy\n  baseline: 88.84\n  endpoint: 10.2\n  p_value: 0.448\n- metric: safety\n  baseline: 27.68\n  endpoint: 60.55\n  p_value: 0.1062\n- metric: safety\n  baseline: 51.8\n  endpoint: 89.23\n  p_value: 0.4543\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-613322,,CRS-3548,,2026-01-01,C,,,,,69.35,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 10, \"\"p\",STU-814570,,,64,assignment\r\n,MHZ343,CRS-7198,3,,,40,30,30,Amber Vaughn,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"threat\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"almost\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"price\"\"}, {\"\"we\",,,Fall 2022,Cross-group explicit policy 101,,\r\n,CDW465,CRS-7192,3,,,40,30,30,Shannon Alvarado,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"there\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"partner\"\"}, {\"\"week\"\"\",,,Fall 2021,User-centric dedicated customer loyalty 101,,\r\n,XRM329,CRS-6092,3,,,40,30,30,Philip Yoder,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"shake\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"we\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"until\"\"}, {\"\"week\"\": \",,,Spring 2022,Total demand-driven functionalities 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-15638187\",\n  \"customer_id\": \"242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\",\n  \"timestamp\": \"2026-01-07T13:51:27.047573\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-16950\",\n      \"qty\": 3,\n      \"price\": 120.22\n    },\n    {\n      \"sku\": \"SKU-76122\",\n      \"qty\": 1,\n      \"price\": 377.76\n    },\n    {\n      \"sku\": \"SKU-41194\",\n      \"qty\": 3,\n      \"price\": 254.19\n    },\n    {\n      \"sku\": \"SKU-75246\",\n      \"qty\": 2,\n      \"price\": 418.85\n    }\n  ],\n  \"subtotal\": 1338.06,\n  \"tax\": 172.92,\n  \"total\": 2048.81,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Implemented leadingedge groupware API\"\nversion = \"1.0.0\"\n\n[paths.\"/reveal\".get]\nsummary = \"Parent dark five.\"\n[[paths.\"/reveal\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/reveal\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/reveal\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/reveal\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/reveal\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate financial report data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nDunn-Byrd,9.56,58548919,,,,Q3 2022,,ATGQ\r\n\"Montgomery, Perry and Powell\",4.34,76014648,5.32,5.29,1190040,Q3 2023,5010352,OJGA\r\n\"Gonzalez, Fuller and Brown\",5.78,17955256,22.51,6.52,6153147,Q1 2021,52144622,EYMF\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8855</course_id>\n<code>DBP130</code>\n<title>Team-oriented 3rdgeneration implementation 101</title>\n<instructor>Carl Davis</instructor>\n<credits>3</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>someone</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>bring</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>important</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>he</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>possible</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>office</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>drive</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>Mrs</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-7805635\npatient_mrn: MRN-843768\norder_date: '2026-01-05'\npanel: CBC\nresults:\n- test: Glucose\n  value: 178.2\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 60.6\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 53.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 184.5\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 106.7\n  unit: mg/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-58559815</post_id>\n<platform>instagram</platform>\n<user_id>0fae79ab-dabb-47f5-823b-f22743181c7c</user_id>\n<username>ortizkristina</username>\n<content>Speech can sea play. Season near story animal remain.\nOff present vote wall. Society know family build. Certain thing live rise.</content>\n<timestamp>2026-01-07T13:51:26.463560</timestamp>\n<hashtags>#once</hashtags>\n<hashtags>#it</hashtags>\n<hashtags>#rich</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>248</likes>\n<shares>32</shares>\n<comments>161</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-58559815\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"0fae79ab-dabb-47f5-823b-f22743181c7c\",\n  \"username\": \"ortizkristina\",\n  \"content\": \"Speech can sea play. Season near story animal remain.\\nOff present vote wall. Society know family build. Certain thing live rise.\",\n  \"timestamp\": \"2026-01-07T13:51:26.463560\",\n  \"hashtags\": [\n    \"#once\",\n    \"#it\",\n    \"#rich\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 248,\n    \"shares\": 32,\n    \"comments\": 161\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert contract from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-299234</contract_id>\n<parties>\n<name>Murphy, Hawkins and Mckenzie</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Collins-Miller</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>46</term_months>\n<value>506357</value>\n<status>pending</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-225883\",\n  \"student_id\": \"STU-314827\",\n  \"course_id\": \"CRS-2408\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 99,\n  \"percentage\": 82.0,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-445032,Michael Jones,RX-1848323\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-980537,Kyle Patterson,RX-6900011\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-450174,Carol Martin,RX-1146027\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Thompson, Yang and Roberts\",8.84,36274579,17.46,22.69,7802792,Q1 2022,59725729,ATOM\r\n\"Clark, Henderson and Poole\",9.39,43144274,24.73,14.98,14788227,Q2 2020,29102144,WNQB\r\nWebb-Williams,8.69,15095366,17.64,22.79,19611879,Q1 2022,14474734,KJEE\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.57295\ntitle: Persevering global groupware\nauthors:\n- name: Edwin Moore\n  affiliation: Smith-Jones\n  email: bowenzachary@example.net\n- name: Anna Collins\n  affiliation: Thomas, Rogers and Baldwin\n  email: thill@example.com\n- name: Mrs. Mary Delacruz MD\n  affiliation: French, Rodriguez and Johnson\n  email: amywest@example.org\nabstract: Stand season mind indicate either. Buy gas keep skin.\nkeywords:\n- stock\n- member\n- laugh\n- language\n- right\npublication:\n  venue: Cell\n  year: 2022\n  doi: 10.9461/HDZk\ncitations: 204\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-643842,2026-01-02,\"[{\"\"name\"\": \"\"Carpenter-Jenkins\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Sanchez-Reyes\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,34,158809\r\nCTR-752629,2026-01-02,\"[{\"\"name\"\": \"\"Turner Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ferguson and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,17,185935\r\nCTR-660856,2026-01-04,\"[{\"\"name\"\": \"\"Gardner-Hudson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kelly-Smith\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,43,765226\r\nCTR-719219,2026-01-05,\"[{\"\"name\"\": \"\"Martin, Rivera and Nelson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hubbard-Gardner\"\", \"\"role\"\": \"\"part\",active,15,558925\r\nCTR-251356,2026-01-05,\"[{\"\"name\"\": \"\"Palmer, Reid and Davidson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Harris, Blake and Larson\"\", \"\"rol\",active,36,438767\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"course_id\": \"CRS-4164\",\n  \"code\": \"RVR286\",\n  \"title\": \"Team-oriented incremental info-mediaries 101\",\n  \"instructor\": \"Shannon Miller\",\n  \"credits\": 3,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"stuff\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"professional\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"hard\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"lawyer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"camera\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"focus\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"spend\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"quickly\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4164</course_id>\n<code>RVR286</code>\n<title>Team-oriented incremental info-mediaries 101</title>\n<instructor>Shannon Miller</instructor>\n<credits>3</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>stuff</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>professional</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>hard</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>lawyer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>camera</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>focus</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>spend</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>quickly</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3741</course_id>\n<code>XMJ312</code>\n<title>Managed incremental focus group 101</title>\n<instructor>Rachel Diaz</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>body</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>child</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>born</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>beyond</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>there</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-173345\ntitle: Effect of state on or\nmethodology:\n  design: RCT\n  sample_size: 849\n  duration_days: 264\nresults:\n- metric: efficacy\n  baseline: 88.4\n  endpoint: 29.84\n  p_value: 0.0809\n- metric: efficacy\n  baseline: 90.53\n  endpoint: 33.55\n  p_value: 0.0079\n- metric: safety\n  baseline: 48.26\n  endpoint: 60.25\n  p_value: 0.0924\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5347545,Martha Brown,Have fall sing then fast research break. Bar ready eye medical school might recognize. Nice sometime,Triple-buffered zero administration algorithm,2026-01-05T16:28:34.342789,Sports,1479,\"[\"\"line\"\", \"\"true\"\", \"\"compare\"\", \"\"for\"\"]\",96946\r\nART-7509552,Victor Marshall,\"Move suddenly week test music less run measure.\nFoot deep minute nice reality I. Indicate century ra\",Switchable fresh-thinking open architecture,2026-01-06T18:12:58.596935,Business,2114,\"[\"\"necessary\"\", \"\"phone\"\", \"\"available\"\", \"\"young\"\"]\",5200\r\nART-8238517,Kristin Jackson,\"How agent responsibility line position consumer. Decision we boy similar body.\nFact arm no across gr\",Distributed tertiary hardware,2026-01-04T18:49:58.900358,Politics,3538,\"[\"\"safe\"\", \"\"policy\"\", \"\"somebody\"\", \"\"prove\"\", \"\"significant\"\"]\",75429\r\nART-6334821,Stephanie Garcia,\"Article lay history party must lead. Always look less big society. Who color else any their west.\nFo\",Advanced analyzing capability,2026-01-02T09:17:37.931982,Business,4001,\"[\"\"mean\"\", \"\"continue\"\", \"\"rock\"\", \"\"no\"\", \"\"scientist\"\"]\",15310\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,expenses,funding_source,keywords,metrics_profit_margin,metrics_roe,net_income,paper_id,publication_doi,publication_venue,publication_year,revenue,title\r\n,,,6835352,,,9.67,5.79,16280737,,,,,93235840,\r\n\"Mind sometimes gun short. Describe southern set describe fine wall stop.\nRate their population. Clai\",\"[{\"\"name\"\": \"\"Timothy Landry\"\", \"\"affiliation\"\": \"\"Moss and Sons\"\", \"\"email\"\": \"\"stacy67@example.org\"\"}, {\"\"name\"\"\",273,,Williams LLC,\"[\"\"soon\"\", \"\"arrive\"\", \"\"note\"\", \"\"table\"\", \"\"could\"\"]\",,,,arXiv:2024.70256,10.8226/qyAm,Cell,2020,,Compatible disintermediate knowledge user\r\nEverything industry account image argue. Low low Mrs watch skill. Service could organization feel sk,\"[{\"\"name\"\": \"\"Alexander Hansen\"\", \"\"affiliation\"\": \"\"Morgan, Tyler and Vargas\"\", \"\"email\"\": \"\"laura70@example.o\",198,,Wilson Group,\"[\"\"response\"\", \"\"grow\"\", \"\"center\"\", \"\"every\"\"]\",,,,arXiv:2020.67002,10.2553/fYWh,Nature,2022,,Cross-platform 4thgeneration encoding\r\nFloor wish cut reason major. Hair responsibility new not. Much enter whose daughter others already. ,\"[{\"\"name\"\": \"\"Richard Glass\"\", \"\"affiliation\"\": \"\"Stevens-Johnson\"\", \"\"email\"\": \"\"ryan14@example.org\"\"}, {\"\"name\"\"\",50,,\"Morgan, Marshall and Landry\",\"[\"\"beautiful\"\", \"\"individual\"\", \"\"tell\"\", \"\"practice\"\"]\",,,,arXiv:2020.54857,10.2762/ACvj,Science,2023,,Self-enabling logistical core\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nUse Mr only week. Crime form attention. Right world stand surface rate three.,4,9998,653,\"[\"\"#economic\"\", \"\"#speak\"\"]\",instagram,POST-64636774,2026-01-07T13:51:26.942814,180a1898-015f-483f-94a7-e771a6fb148e,melissa16\r\nMaybe wish bit allow share. Reduce student sure eat thing charge particular. Each factor trouble val,247,217,964,\"[\"\"#so\"\", \"\"#soon\"\", \"\"#their\"\", \"\"#ready\"\"]\",instagram,POST-72911154,2026-01-07T13:51:26.945630,1981183e-f73f-4c00-ab72-cbf1d7ecf731,reginatorres\r\n\"Son education require. Nor military relate paper. Field technology crime everyone write.\nBetween wil\",257,1206,949,\"[\"\"#raise\"\", \"\"#indeed\"\", \"\"#one\"\", \"\"#tonight\"\"]\",facebook,POST-35525154,2026-01-07T13:51:26.946054,b98f51d8-23b8-416c-a8b8-6dcfc723dc1a,stephen38\r\n\"Must laugh money be. Community day real.\nExpert writer reach simply seem party.\nInvolve person socie\",271,1283,925,\"[\"\"#character\"\", \"\"#and\"\"]\",facebook,POST-19696784,2026-01-07T13:51:26.946507,eec1b96a-3937-464c-a8d8-af73cf0653bd,lkline\r\n\"Foreign thus not though. Relate mouth usually ball risk. Shoulder sure someone either.\nPerform charg\",490,7715,362,\"[\"\"#so\"\", \"\"#particularly\"\"]\",facebook,POST-23301440,2026-01-07T13:51:26.946842,6a103282-d9f4-48b3-9a9b-bd61f3001063,znguyen\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id: POST-64636774\nplatform: instagram\nuser_id: 180a1898-015f-483f-94a7-e771a6fb148e\nusername: melissa16\ncontent: Use Mr only week. Crime form attention. Right world stand surface rate three.\ntimestamp: '2026-01-07T13:51:26.942814'\nhashtags:\n- '#economic'\n- '#speak'\nengagement:\n  likes: 9998\n  shares: 653\n  comments: 4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nb13e97b5-e84b-41ec-9dea-05b4809cdd35,\"[{\"\"sku\"\": \"\"SKU-36351\"\", \"\"qty\"\": 1, \"\"price\"\": 310.41}, {\"\"sku\"\": \"\"SKU-26629\"\", \"\"qty\"\": 2, \"\"price\"\": 119.44}, {\",apple_pay,994.66,143.59,2026-01-07T13:51:25.895711,1762.36,TXN-28879814\r\n47c0ca0e-71c0-40c9-bc60-6f6c0a5c5ee9,\"[{\"\"sku\"\": \"\"SKU-63036\"\", \"\"qty\"\": 3, \"\"price\"\": 336.76}]\",apple_pay,1359.46,152.59,2026-01-07T13:51:25.896867,1079.13,TXN-35184985\r\n282d3952-5751-4af1-bfb1-85190eb5a566,\"[{\"\"sku\"\": \"\"SKU-20275\"\", \"\"qty\"\": 2, \"\"price\"\": 369.59}, {\"\"sku\"\": \"\"SKU-77103\"\", \"\"qty\"\": 2, \"\"price\"\": 433.93}, {\",paypal,1606.78,78.55,2026-01-07T13:51:25.896913,1187.48,TXN-70311000\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-5160762\"\npatient_mrn = \"MRN-568012\"\nprescriber = \"Linda Gonzalez\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-106797\nname: Profound intermediate software\ncategory: clothing\nprice: 191.0\ncurrency: USD\nstock: 633\nis_available: true\nrating: 1.85\nreviews: 152\nspecs:\n  weight_kg: 49.86\n  dimensions: 11x26x85cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-4272,3,,,,Rachel Yu,,,User-centric attitude-oriented synergy 101\r\nJSQ353,CRS-4826,4,40,30,30,Danielle Gonzalez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"artist\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"do\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"design\"\"}, {\"\"week\"\"\",Spring 2023,Synchronized zero administration contingency 101\r\nYCS163,CRS-2140,3,40,30,30,Taylor Hunter,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"best\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"pay\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"business\"\"}, {\"\"week\",Fall 2020,Realigned client-server application 101\r\nLFH248,CRS-3150,3,40,30,30,Kristin Bush,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"anyone\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hit\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"individual\"\"}, {\"\"\",Fall 2024,Up-sized local emulation 101\r\nBHE386,CRS-6253,4,40,30,30,Stacey Terry,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"tend\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"brother\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"receive\"\"}, {\"\"w\",Fall 2023,Quality-focused clear-thinking firmware 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate social media post data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-20150897\"\nplatform = \"instagram\"\nuser_id = \"ace3958f-4578-4576-9236-9cbfc1f62953\"\nusername = \"spatrick\"\ncontent = \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\"\ntimestamp = \"2026-01-07T13:51:25.995017\"\nhashtags = [ \"#share\", \"#prevent\", \"#entire\", \"#owner\",]\n\n[engagement]\nlikes = 3129\nshares = 891\ncomments = 28\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nList son shake understand food. Up no police friend factor. Support company yes push argue.,\"[{\"\"name\"\": \"\"Heather Lee\"\", \"\"affiliation\"\": \"\"Garcia, Ellison and Kim\"\", \"\"email\"\": \"\"kimberlysimpson@example\",36,\"Guerra, Richards and Schaefer\",\"[\"\"fact\"\", \"\"guess\"\", \"\"truth\"\"]\",arXiv:2022.73738,10.7028/ttmb,Cell,2024,Switchable maximized Local Area Network\r\nBig recognize discussion minute particular popular play.,\"[{\"\"name\"\": \"\"Cassie Davis\"\", \"\"affiliation\"\": \"\"Lee Inc\"\", \"\"email\"\": \"\"michelletran@example.org\"\"}, {\"\"name\"\": \"\"\",106,\"Walton, Turner and Lee\",\"[\"\"class\"\", \"\"popular\"\", \"\"service\"\"]\",arXiv:2020.13480,10.3582/qRyJ,Cell,2021,Organized logistical capability\r\n\"Society table pay others. Reach candidate possible authority.\nAs left although read successful. Woul\",\"[{\"\"name\"\": \"\"Joel Cortez\"\", \"\"affiliation\"\": \"\"Jennings-Mcconnell\"\", \"\"email\"\": \"\"andrewwarner@example.com\"\"}, \",38,Rivera-Parks,\"[\"\"ready\"\", \"\"next\"\", \"\"study\"\", \"\"method\"\", \"\"carry\"\"]\",arXiv:2023.41767,10.2532/yYHl,Cell,2023,Ergonomic client-driven portal\r\n\"Grow former sell evidence eat human. Garden field black some shoulder whether join.\nBefore could no \",\"[{\"\"name\"\": \"\"Sue Hughes\"\", \"\"affiliation\"\": \"\"Sanders, Castro and Poole\"\", \"\"email\"\": \"\"doylerobert@example.or\",170,\"Boyer, Chan and Chapman\",\"[\"\"summer\"\", \"\"man\"\", \"\"gun\"\"]\",arXiv:2022.74130,10.4843/ITBH,Cell,2020,Exclusive logistical approach\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2022.73738\",\n  \"title\": \"Switchable maximized Local Area Network\",\n  \"authors\": [\n    {\n      \"name\": \"Heather Lee\",\n      \"affiliation\": \"Garcia, Ellison and Kim\",\n      \"email\": \"kimberlysimpson@example.com\"\n    },\n    {\n      \"name\": \"Jeremy Gonzalez\",\n      \"affiliation\": \"Wilson, Sanchez and Copeland\",\n      \"email\": \"michelle83@example.com\"\n    },\n    {\n      \"name\": \"Brianna Hart\",\n      \"affiliation\": \"Shannon, Tran and Taylor\",\n      \"email\": \"penatyler@example.net\"\n    }\n  ],\n  \"abstract\": \"List son shake understand food. Up no police friend factor. Support company yes push argue.\",\n  \"keywords\": [\n    \"fact\",\n    \"guess\",\n    \"truth\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.7028/ttmb\"\n  },\n  \"citations\": 36,\n  \"funding_source\": \"Guerra, Richards and Schaefer\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Pre-emptive interactive encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</air>\n<get>\n<summary>Final democratic whatever event director guy.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//air>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\ncontract_id: CTR-464030\nparties:\n- name: Morales, Williams and Williams\n  role: party_a\n- name: Ward-Miller\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 35\nvalue: 994957\nstatus: active\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-464030\",\n  \"parties\": [\n    {\n      \"name\": \"Morales, Williams and Williams\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Ward-Miller\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 35,\n  \"value\": 994957,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-5956795\",\n  \"patient_mrn\": \"MRN-953048\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 69.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 89.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 169.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 187.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 120.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5956795</result_id>\n<patient_mrn>MRN-953048</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>138.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>69.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>89.7</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>169.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>187.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>120.0</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nWith writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve ,283,5319,573,\"[\"\"#training\"\", \"\"#Democrat\"\", \"\"#pattern\"\", \"\"#discover\"\"]\",twitter,POST-39452168,2026-01-07T13:51:25.425211,ca270bc8-d443-4389-880a-6fc8dd3e9fa5,robertowens\r\nTen trip down impact name Republican study. Total section special beyond doctor.,457,1358,651,\"[\"\"#current\"\", \"\"#hair\"\"]\",facebook,POST-22701338,2026-01-07T13:51:25.426564,97234e39-459d-4071-85d2-db2aa5fc8c90,dcantu\r\nWar structure appear then third. Campaign him month attorney mission trial stop.,221,2635,386,\"[\"\"#gas\"\", \"\"#number\"\"]\",twitter,POST-43203606,2026-01-07T13:51:25.426853,289e7f85-d852-4dfb-81a6-a6d13aa250a6,christopher03\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-554535</assessment_id>\n<student_id>STU-693793</student_id>\n<course_id>CRS-9992</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>86</total_score>\n<percentage>63.99</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-554535\",\n  \"student_id\": \"STU-693793\",\n  \"course_id\": \"CRS-9992\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 86,\n  \"percentage\": 63.99,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9548003</result_id>\n<patient_mrn>MRN-322322</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>67.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>66.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>118.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>198.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>167.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>143.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>150.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-9548003\",\n  \"patient_mrn\": \"MRN-322322\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 67.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 66.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 118.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 198.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 167.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 143.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 150.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-143990\"\neffective_date = \"2026-01-02\"\nterm_months = 32\nvalue = 452000\nstatus = \"active\"\n[[parties]]\nname = \"Brady Inc\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Gonzalez, Coleman and Sanchez\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from CSV to JSON:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,CMP,MRN-369371,LAB-2983714,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 97.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 6\"\r\n2026-01-03,CMP,MRN-732387,LAB-3090592,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 158.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 129.0,\"\r\n2026-01-02,CBC,MRN-391646,LAB-9637190,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 67.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 74.5, \"\"\"\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-2983714\",\n  \"patient_mrn\": \"MRN-369371\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 60.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 172.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 145.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 83.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-5474284,Jason Kemp,Important week want base less job conference husband. Figure decade significant in clearly popular. ,Total zero-defect neural-net,2026-01-04T14:10:32.238611,Politics,2407,\"[\"\"food\"\", \"\"ok\"\", \"\"feel\"\", \"\"thought\"\", \"\"plant\"\"]\",69894\r\nART-4033606,Henry Rios,Can deal easy save likely whole. Hundred they authority artist dark structure last. Manager sure gun,Versatile local contingency,2026-01-05T04:42:27.335613,Politics,497,\"[\"\"grow\"\", \"\"travel\"\", \"\"direction\"\"]\",55026\r\nART-7240835,Whitney Greer,\"Drug collection particularly lose nice. Effect since similar maintain.\nList play growth blue see. In\",User-centric reciprocal knowledge user,2026-01-04T14:27:50.455097,Tech,4521,\"[\"\"side\"\", \"\"audience\"\", \"\"practice\"\", \"\"factor\"\", \"\"peace\"\"]\",28669\r\nART-9524301,Matthew Chen MD,\"Message read hit beyond million. More chair small. Radio bit office sit early.\nCongress support cand\",Integrated mission-critical firmware,2026-01-06T09:14:22.138024,Sports,4986,\"[\"\"rest\"\", \"\"song\"\", \"\"cup\"\", \"\"white\"\"]\",77697\r\nART-8981518,Courtney White MD,\"Fact real vote expert off most. Per according rule better.\nShort edge personal manage total crime wh\",Enhanced object-oriented budgetary management,2026-01-05T15:28:48.219334,Tech,1441,\"[\"\"purpose\"\", \"\"simple\"\", \"\"body\"\", \"\"development\"\", \"\"knowledge\"\"]\",4207\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-9436830\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J14\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K93\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I55\"\n\n[patient]\nmrn = \"MRN-199885\"\nage = 56\ngender = \"M\"\n\n[vitals]\nbp = \"148/67\"\nhr = 107\ntemp_f = 102.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following YAML to JSON:\nassessment_id: ASMT-744456\nstudent_id: STU-954920\ncourse_id: CRS-3021\ntype: exam\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 7\n  points_possible: 10\n- question: 2\n  points_earned: 2\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 9\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 10\n  points_possible: 10\n- question: 7\n  points_earned: 5\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 9\n  points_possible: 10\n- question: 10\n  points_earned: 3\n  points_possible: 10\n- question: 11\n  points_earned: 9\n  points_possible: 10\n- question: 12\n  points_earned: 9\n  points_possible: 10\ntotal_score: 97\npercentage: 89.67\ngrade: C\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-744456\",\n  \"student_id\": \"STU-954920\",\n  \"course_id\": \"CRS-3021\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 97,\n  \"percentage\": 89.67,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,grade,keywords,paper_id,publication_doi,publication_venue,publication_year,scores,title\r\n,,,2026-01-01,,C,,,,,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 4, \"\"po\",\r\nPlan pay order become. Brother ability admit wait.,\"[{\"\"name\"\": \"\"Brandi Day\"\", \"\"affiliation\"\": \"\"Sanders Inc\"\", \"\"email\"\": \"\"bglass@example.org\"\"}, {\"\"name\"\": \"\"Anth\",162,,\"Parker, Mclean and Guerrero\",,\"[\"\"full\"\", \"\"perform\"\", \"\"by\"\"]\",arXiv:2020.26273,10.8485/LHjX,Nature,2024,,Enterprise-wide grid-enabled frame\r\nImagine magazine name. Song against rock need pretty chair less.,\"[{\"\"name\"\": \"\"Michael Figueroa\"\", \"\"affiliation\"\": \"\"Johnson-Robinson\"\", \"\"email\"\": \"\"melissaelliott@example.co\",188,,Smith and Sons,,\"[\"\"particularly\"\", \"\"both\"\", \"\"sport\"\", \"\"part\"\", \"\"land\"\"]\",arXiv:2022.48709,10.9934/emLb,Nature,2022,,Face-to-face didactic moderator\r\n\"Hour partner option hit war nearly employee.\nTraining data issue hard both board minute present. Mee\",\"[{\"\"name\"\": \"\"Jacqueline Weaver\"\", \"\"affiliation\"\": \"\"Zhang, Morris and Burns\"\", \"\"email\"\": \"\"wellsronald@examp\",310,,None,,\"[\"\"rest\"\", \"\"prepare\"\", \"\"alone\"\", \"\"art\"\"]\",arXiv:2020.76549,10.2680/rmAS,Nature,2021,,Proactive dynamic function\r\nRed huge fact send peace partner before. Walk herself particular sell political get medical feel. Re,\"[{\"\"name\"\": \"\"Lisa Powell\"\", \"\"affiliation\"\": \"\"Williamson Inc\"\", \"\"email\"\": \"\"kaufmanamber@example.com\"\"}, {\"\"na\",279,,None,,\"[\"\"house\"\", \"\"production\"\", \"\"author\"\", \"\"they\"\"]\",arXiv:2024.14291,10.2421/TidE,Cell,2024,,Devolved multi-tasking contingency\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Assimilated neutral archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</sea>\n<get>\n<summary>Team happen challenge address expert manage beyond</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sea>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Assimilated neutral archive API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/sea\": {\n      \"get\": {\n        \"summary\": \"Team happen challenge address expert manage beyond\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-1812594\",\n  \"patient_mrn\": \"MRN-755137\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 131.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 183.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 130.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 178.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\npost_id: POST-49469407\nplatform: instagram\nuser_id: c776cd7c-2538-4c81-83c8-03afd724bed1\nusername: donald18\ncontent: Knowledge between friend wife property kid out. Trouble recent member sort\n  arrive foot space good.\ntimestamp: '2026-01-07T13:51:26.031233'\nhashtags:\n- '#daughter'\n- '#after'\n- '#affect'\n- '#goal'\nengagement:\n  likes: 2564\n  shares: 187\n  comments: 95\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npost_id = \"POST-49469407\"\nplatform = \"instagram\"\nuser_id = \"c776cd7c-2538-4c81-83c8-03afd724bed1\"\nusername = \"donald18\"\ncontent = \"Knowledge between friend wife property kid out. Trouble recent member sort arrive foot space good.\"\ntimestamp = \"2026-01-07T13:51:26.031233\"\nhashtags = [ \"#daughter\", \"#after\", \"#affect\", \"#goal\",]\n\n[engagement]\nlikes = 2564\nshares = 187\ncomments = 95\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this TOML data into CSV format:\nperiod = \"January 2024\"\ntotal_revenue = 3091656\nunits_sold = 63856\n[[channels]]\nname = \"wholesale\"\nrevenue = 2739604\ngrowth = -0.52\n\n[[channels]]\nname = \"online\"\nrevenue = 247982\ngrowth = 14.46\n\n[[top_products]]\nsku = \"SKU-7268\"\nsales = 409348\n\n[[top_products]]\nsku = \"SKU-4030\"\nsales = 70087\n\n[[top_products]]\nsku = \"SKU-4380\"\nsales = 298376\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2739604, \"\"growth\"\": -0.52}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 247982, \"\"\",,,,,January 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-7268\"\", \"\"sales\"\": 409348}, {\"\"sku\"\": \"\"SKU-4030\"\", \"\"sales\"\": 70087}, {\"\"sku\"\": \"\"SKU-4380\"\", \"\"sal\",3091656,63856\r\nPosition hand charge activity sound decade machine another. Lawyer teach they everyone win day like ,\"[{\"\"name\"\": \"\"Ashley Wilkerson\"\", \"\"affiliation\"\": \"\"Watts, Green and Winters\"\", \"\"email\"\": \"\"katiebraun@exampl\",,302,None,\"[\"\"forward\"\", \"\"side\"\", \"\"born\"\"]\",arXiv:2021.55299,,10.5334/HYky,Cell,2020,Phased multi-tasking time-frame,,,\r\nBe manager live politics. Try debate study contain page local economic.,\"[{\"\"name\"\": \"\"Lisa David\"\", \"\"affiliation\"\": \"\"Green-Barr\"\", \"\"email\"\": \"\"fhayes@example.com\"\"}, {\"\"name\"\": \"\"Derri\",,67,\"Hood, Liu and Alexander\",\"[\"\"want\"\", \"\"tree\"\", \"\"institution\"\", \"\"class\"\"]\",arXiv:2020.79026,,10.9007/ZcHn,Science,2020,Compatible analyzing moderator,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I58\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I47\"\"}, {\"\"problem\"\": \"\"hype\",chest pain,2026-01-01,CN-2735215,52,M,MRN-389494,111/100,66,99.3\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K94\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I68\"\"}]\",fever,2026-01-02,CN-9715288,90,F,MRN-109427,152/105,88,100.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K49\"\"}]\",fever,2026-01-05,CN-5493488,61,M,MRN-774757,136/87,91,100.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J77\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I67\"\"}]\",fever,2026-01-01,CN-6453537,22,F,MRN-452478,158/82,78,97.4\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-449984</contract_id>\n<parties>\n<name>Garcia-Henson</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Moore LLC</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-04</effective_date>\n<term_months>49</term_months>\n<value>694475</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-449984\",\n  \"parties\": [\n    {\n      \"name\": \"Garcia-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Moore LLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 49,\n  \"value\": 694475,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"patient_mrn\": \"MRN-135092\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 129.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 120.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 147.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ],\n  \"result_id\": \"LAB-9224780\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\nperiod = \"June 2021\"\ntotal_revenue = 1467254\nunits_sold = 63744\n[[channels]]\nname = \"wholesale\"\nrevenue = 2975287\ngrowth = -1.88\n\n[[channels]]\nname = \"online\"\nrevenue = 2665464\ngrowth = 14.77\n\n[[top_products]]\nsku = \"SKU-1172\"\nsales = 348860\n\n[[top_products]]\nsku = \"SKU-4431\"\nsales = 479568\n\n[[top_products]]\nsku = \"SKU-6244\"\nsales = 245719\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 1467254,\n  \"units_sold\": 63744,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2975287,\n      \"growth\": -1.88\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2665464,\n      \"growth\": 14.77\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1172\",\n      \"sales\": 348860\n    },\n    {\n      \"sku\": \"SKU-4431\",\n      \"sales\": 479568\n    },\n    {\n      \"sku\": \"SKU-6244\",\n      \"sales\": 245719\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-818679,RCT,157,180,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 17.77, \"\"endpoint\"\": 32.37, \"\"p_value\"\": 0.477}, {\"\"metric\"\": \"\"safety\"\", \",Effect of begin on task\r\nsignificant,EXP-273309,RCT,323,605,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 51.67, \"\"endpoint\"\": 62.51, \"\"p_value\"\": 0.1511}, {\"\"metric\"\": \"\"safety\",Effect of tough on happen\r\nsignificant,EXP-506939,RCT,151,841,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 47.72, \"\"endpoint\"\": 47.03, \"\"p_value\"\": 0.2063}, {\"\"metric\"\": \"\"efficacy\",Effect of large on certainly\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Becker-Martinez\",\n  \"ticker\": \"QZXR\",\n  \"quarter\": \"Q4 2021\",\n  \"revenue\": 48919598,\n  \"expenses\": 50274851,\n  \"net_income\": 7284021,\n  \"eps\": 2.39,\n  \"metrics\": {\n    \"profit_margin\": 17.0,\n    \"roe\": 10.6\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Becker-Martinez</company>\n<ticker>QZXR</ticker>\n<quarter>Q4 2021</quarter>\n<revenue>48919598</revenue>\n<expenses>50274851</expenses>\n<net_income>7284021</net_income>\n<eps>2.39</eps>\n<metrics>\n<profit_margin>17.0</profit_margin>\n<roe>10.6</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2020.69453\",\n  \"title\": \"Assimilated needs-based portal\",\n  \"authors\": [\n    {\n      \"name\": \"Evan Reed\",\n      \"affiliation\": \"Orr, Wheeler and Johnson\",\n      \"email\": \"cheryl05@example.net\"\n    },\n    {\n      \"name\": \"Amanda Mcmahon\",\n      \"affiliation\": \"Maxwell-Price\",\n      \"email\": \"mbowen@example.org\"\n    },\n    {\n      \"name\": \"Angel Vasquez\",\n      \"affiliation\": \"Melendez, Osborne and Harris\",\n      \"email\": \"timothysutton@example.com\"\n    }\n  ],\n  \"abstract\": \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\",\n  \"keywords\": [\n    \"power\",\n    \"main\",\n    \"light\",\n    \"form\",\n    \"system\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.9550/gbOm\"\n  },\n  \"citations\": 115,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.69453</paper_id>\n<title>Assimilated needs-based portal</title>\n<authors>\n<name>Evan Reed</name>\n<affiliation>Orr, Wheeler and Johnson</affiliation>\n<email>cheryl05@example.net</email>\n</authors>\n<authors>\n<name>Amanda Mcmahon</name>\n<affiliation>Maxwell-Price</affiliation>\n<email>mbowen@example.org</email>\n</authors>\n<authors>\n<name>Angel Vasquez</name>\n<affiliation>Melendez, Osborne and Harris</affiliation>\n<email>timothysutton@example.com</email>\n</authors>\n<abstract>Economy instead thank kitchen. For pattern he purpose strong goal challenge.</abstract>\n<keywords>power</keywords>\n<keywords>main</keywords>\n<keywords>light</keywords>\n<keywords>form</keywords>\n<keywords>system</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.9550/gbOm</doi>\n</publication>\n<citations>115</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-996269\",\n  \"student_id\": \"STU-878254\",\n  \"course_id\": \"CRS-8988\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 71,\n  \"percentage\": 94.86,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-996269</assessment_id>\n<student_id>STU-878254</student_id>\n<course_id>CRS-8988</course_id>\n<type>exam</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>71</total_score>\n<percentage>94.86</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor = \"Matthew Harmon\"\n[[schedule]]\nweek = 1\ntopic = \"protect\"\n\n[[schedule]]\nweek = 2\ntopic = \"structure\"\n\n[[schedule]]\nweek = 3\ntopic = \"hear\"\n\n[[schedule]]\nweek = 4\ntopic = \"mouth\"\n\n[[schedule]]\nweek = 5\ntopic = \"ground\"\n\n[[schedule]]\nweek = 6\ntopic = \"receive\"\n\n[[schedule]]\nweek = 7\ntopic = \"prevent\"\n\n[[schedule]]\nweek = 8\ntopic = \"another\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n4c9f9f8a-3fb5-41bc-8703-bf6196091515,\"[{\"\"sku\"\": \"\"SKU-50400\"\", \"\"qty\"\": 4, \"\"price\"\": 80.89}, {\"\"sku\"\": \"\"SKU-85515\"\", \"\"qty\"\": 5, \"\"price\"\": 367.59}, {\"\"\",paypal,788.47,5.52,2026-01-06T09:43:29.757714,1195.64,TXN-79890084\r\n1d2d68de-9ee4-42e8-8aea-5fd58e80281a,\"[{\"\"sku\"\": \"\"SKU-10018\"\", \"\"qty\"\": 5, \"\"price\"\": 78.75}, {\"\"sku\"\": \"\"SKU-23394\"\", \"\"qty\"\": 2, \"\"price\"\": 398.54}, {\"\"\",paypal,318.19,49.44,2026-01-06T09:43:29.758952,74.11,TXN-13558435\r\na5131dce-8831-4dec-85ce-b6206f2585fe,\"[{\"\"sku\"\": \"\"SKU-26882\"\", \"\"qty\"\": 1, \"\"price\"\": 263.63}, {\"\"sku\"\": \"\"SKU-36811\"\", \"\"qty\"\": 2, \"\"price\"\": 451.45}]\",credit_card,1519.19,168.87,2026-01-06T09:43:29.759010,1995.54,TXN-52139686\r\nc14c46b7-f0ca-4899-9069-b390e1f1c7d8,\"[{\"\"sku\"\": \"\"SKU-67220\"\", \"\"qty\"\": 3, \"\"price\"\": 483.98}]\",paypal,641.23,112.89,2026-01-06T09:43:29.759050,150.61,TXN-79982496\r\n0cecc8a0-ab9c-4df0-af13-43adab7dc0d7,\"[{\"\"sku\"\": \"\"SKU-58730\"\", \"\"qty\"\": 1, \"\"price\"\": 306.89}, {\"\"sku\"\": \"\"SKU-11967\"\", \"\"qty\"\": 4, \"\"price\"\": 37.86}, {\"\"\",paypal,1502.9,110.37,2026-01-06T09:43:29.759083,1159.83,TXN-93654026\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-508219,LAB-3990665,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 80.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": \"\r\n2026-01-04,CBC,MRN-987678,LAB-1799113,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 106.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-01,Lipid,MRN-961454,LAB-2592224,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 55.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 56.9, \"\"\"\r\n2026-01-01,Lipid,MRN-690566,LAB-8897495,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 160.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-03,CMP,MRN-711587,LAB-1684835,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 106.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 99.8, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate prescription data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3305496</rx_id>\n<patient_mrn>MRN-551064</patient_mrn>\n<prescriber>Eric Jackson</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2021\"\ntotal_revenue = 5979422\nunits_sold = 82076\n[[channels]]\nname = \"retail\"\nrevenue = 3460112\ngrowth = 36.85\n\n[[channels]]\nname = \"online\"\nrevenue = 3983364\ngrowth = 5.55\n\n[[top_products]]\nsku = \"SKU-1065\"\nsales = 105510\n\n[[top_products]]\nsku = \"SKU-4043\"\nsales = 281142\n\n[[top_products]]\nsku = \"SKU-1338\"\nsales = 43006\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-446802,James Bryant,RX-8350891\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-689906,Ricky Dixon,RX-1001040\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopri\",MRN-103247,Kimberly Thornton,RX-2036843\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\",MRN-955779,Daniel Reyes,RX-8803463\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-8350891\"\npatient_mrn = \"MRN-446802\"\nprescriber = \"James Bryant\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CMP,MRN-803339,LAB-7952688,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 141.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 67.\"\r\n2026-01-02,CMP,MRN-645607,LAB-3845520,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 108.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-04,CBC,MRN-170051,LAB-3749755,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 88.6, \"\r\n2026-01-03,CMP,MRN-824869,LAB-6500126,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 161.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-05,CMP,MRN-679466,LAB-9814823,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 56.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 126.1, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8136358,Brian White,\"Give model worry sense. Including reflect teacher near image.\nCulture kitchen run first would. Agenc\",Realigned multimedia paradigm,2026-01-02T14:21:25.908532,Sports,4175,\"[\"\"involve\"\", \"\"service\"\", \"\"along\"\", \"\"stand\"\"]\",7987\r\nART-8423308,Michelle Jefferson,Live suggest report. Want firm question TV station wide former. Mouth doctor garden idea under apply,Optional zero-defect artificial intelligence,2026-01-07T02:35:38.446059,Sports,1052,\"[\"\"successful\"\", \"\"buy\"\", \"\"region\"\", \"\"purpose\"\", \"\"drive\"\"]\",4089\r\nART-1607323,Aaron Rosales,\"Eat civil very stuff another. Meet wall large than measure agency. Star cut animal final.\nClose spea\",Diverse bottom-line Internet solution,2026-01-03T18:11:22.032464,Politics,958,\"[\"\"itself\"\", \"\"else\"\", \"\"author\"\", \"\"serve\"\", \"\"attorney\"\"]\",53822\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>d03afc03-94bd-4dbb-bf49-9cda441c119b</error_id>\n<timestamp>2026-01-07T13:51:25.952127</timestamp>\n<level>CRITICAL</level>\n<service>fromService</service>\n<message>Add perform politics some card score brother.</message>\n<stack_trace>at send.py:152</stack_trace>\n<stack_trace>at young.py:309</stack_trace>\n<context>\n<user_id>2b3e5573-7b69-4807-a899-cbaa4adadf38</user_id>\n<request_id>beac9c14-4ae5-407d-9aae-d7a56f6790f6</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following YAML to JSON:\narticle_id: ART-3682408\nheadline: Decentralized stable neural-net\nauthor: Thomas Acevedo\npublished: '2026-01-01T11:30:40.673887'\nsection: Business\ncontent: 'Cold trial recognize improve nice between these. Happy herself suggest impact\n  tell easy.\n\n  Start movie up social real effort. Onto federal prepare class direction rest.\n\n  News party school five bit. Trouble box year how.\n\n  Pressure respond nature. Prepare ball put happen.'\ntags:\n- movie\n- it\n- chance\nviews: 12438\nshares: 1329\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-3682408\",\n  \"headline\": \"Decentralized stable neural-net\",\n  \"author\": \"Thomas Acevedo\",\n  \"published\": \"2026-01-01T11:30:40.673887\",\n  \"section\": \"Business\",\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.\",\n  \"tags\": [\n    \"movie\",\n    \"it\",\n    \"chance\"\n  ],\n  \"views\": 12438,\n  \"shares\": 1329\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-6846954,Steven Burgess,Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child e,Triple-buffered intangible knowledgebase,2026-01-02T13:52:55.283034,Politics,3662,\"[\"\"couple\"\", \"\"specific\"\", \"\"him\"\"]\",35509\r\nART-2474084,Cristina Conway,\"Suggest seek of hair. Yeah available half action become information. Heavy say culture structure.\nPr\",Advanced encompassing flexibility,2026-01-05T12:03:28.066252,Politics,4675,\"[\"\"read\"\", \"\"quite\"\", \"\"need\"\", \"\"style\"\", \"\"seem\"\"]\",2248\r\nART-6731221,Christina Benton,Dream lead even church will. Camera special culture car more. Anything according explain clearly gro,Up-sized zero administration challenge,2026-01-04T15:28:44.080877,Tech,2594,\"[\"\"impact\"\", \"\"marriage\"\", \"\"senior\"\", \"\"red\"\"]\",87331\r\nART-3827619,Sonya Jimenez,\"Past field reveal. Set say agent wrong race thought. Court he model research then.\nBeautiful stop de\",Up-sized content-based leverage,2026-01-04T09:31:06.349983,Sports,1637,\"[\"\"important\"\", \"\"situation\"\", \"\"charge\"\", \"\"have\"\"]\",9281\r\nART-1882464,Joseph Wilson,Like once car direction. Market her enjoy history wall spring cost. Off professor hold admit quickly,Proactive foreground service-desk,2026-01-07T06:21:10.929827,Tech,3435,\"[\"\"heavy\"\", \"\"family\"\", \"\"president\"\", \"\"represent\"\"]\",34178\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need transaction record details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,customer_id,funding_source,items,keywords,paper_id,payment_method,publication_doi,publication_venue,publication_year,tax,title,total\r\n,,,418f64e5-bc12-4262-8eda-29f5bf91699f,,\"[{\"\"sku\"\": \"\"SKU-25291\"\", \"\"qty\"\": 3, \"\"price\"\": 354.92}, {\"\"sku\"\": \"\"SKU-85521\"\", \"\"qty\"\": 5, \"\"price\"\": 36.14}, {\"\"\",,,credit_card,,,,38.53,,1356.87\r\nOften coach threat class example address when. Eye sport walk guy decade.,\"[{\"\"name\"\": \"\"Jesse Schaefer\"\", \"\"affiliation\"\": \"\"Gutierrez-Roberts\"\", \"\"email\"\": \"\"angelaflynn@example.net\"\"},\",181,,None,,\"[\"\"meet\"\", \"\"in\"\", \"\"cup\"\"]\",arXiv:2022.83318,,10.4166/aWZJ,Cell,2020,,Phased 6thgeneration workforce,\r\nEconomy growth it. Technology bring where boy laugh agent my explain. Since remember station stay. W,\"[{\"\"name\"\": \"\"Gina Roberts\"\", \"\"affiliation\"\": \"\"Harris, Sanchez and Johnston\"\", \"\"email\"\": \"\"zdennis@example.n\",168,,None,,\"[\"\"its\"\", \"\"economic\"\", \"\"Congress\"\", \"\"significant\"\"]\",arXiv:2024.48047,,10.7002/YxNW,Cell,2020,,User-friendly neutral policy,\r\nOwner argue high cut. Everything just protect. Recent read toward. Group know imagine white.,\"[{\"\"name\"\": \"\"Mary Boyer\"\", \"\"affiliation\"\": \"\"Tate Group\"\", \"\"email\"\": \"\"vmerritt@example.com\"\"}, {\"\"name\"\": \"\"Wil\",229,,None,,\"[\"\"at\"\", \"\"American\"\", \"\"commercial\"\", \"\"cover\"\", \"\"exactly\"\"]\",arXiv:2022.88834,,10.4185/HwIR,Science,2022,,Implemented radical firmware,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-480886\nname: Operative optimizing monitoring\ncategory: books\nprice: 967.35\ncurrency: USD\nstock: 887\nis_available: true\nrating: 2.99\nreviews: 465\nspecs:\n  weight_kg: 39.19\n  dimensions: 82x84x37cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nExpert difficult hot radio mission. Throw southern he book way media particular.,2026-01-06,,,1,REV-7122533,,,False\r\n\"News point thousand physical. Heavy argue physical great area interesting clearly.\nBehavior issue in\",2026-01-04,35,PROD-313091,2,REV-7797216,Consumer until note everyone environment.,fe66d16e-8562-4e3f-94f8-c7c3b137b8c5,True\r\nNature couple lawyer too media shoulder situation. Miss recent baby television within. Call wide beh,2026-01-01,27,PROD-491844,2,REV-5911588,World catch magazine use case seven.,fd696c18-b176-41c5-8572-2912d48deff8,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output clinical note as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-3508494\",\n  \"patient\": {\n    \"mrn\": \"MRN-721804\",\n    \"age\": 51,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"130/109\",\n    \"hr\": 78,\n    \"temp_f\": 100.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K96\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K86\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n13707a49-23b0-4133-8216-7e83986c9575,\"[{\"\"sku\"\": \"\"SKU-82899\"\", \"\"qty\"\": 5, \"\"price\"\": 298.29}, {\"\"sku\"\": \"\"SKU-51515\"\", \"\"qty\"\": 4, \"\"price\"\": 343.78}, {\",credit_card,1914.1,175.88,2026-01-07T13:51:27.689251,1360.6,TXN-60159725\r\n01117b4a-3d26-4d2d-8a76-96a79c487fa0,\"[{\"\"sku\"\": \"\"SKU-21681\"\", \"\"qty\"\": 4, \"\"price\"\": 183.49}, {\"\"sku\"\": \"\"SKU-89553\"\", \"\"qty\"\": 1, \"\"price\"\": 449.84}, {\",credit_card,1020.65,62.25,2026-01-07T13:51:27.690581,662.27,TXN-98601535\r\n5e7a7426-8cef-41a9-a8d1-b12e8cba1633,\"[{\"\"sku\"\": \"\"SKU-63528\"\", \"\"qty\"\": 5, \"\"price\"\": 103.8}, {\"\"sku\"\": \"\"SKU-10678\"\", \"\"qty\"\": 3, \"\"price\"\": 91.67}, {\"\"s\",apple_pay,1539.37,49.13,2026-01-07T13:51:27.690641,1811.28,TXN-43546008\r\n630ccf7f-b60b-4f01-87d5-206096e709ad,\"[{\"\"sku\"\": \"\"SKU-47193\"\", \"\"qty\"\": 2, \"\"price\"\": 481.57}, {\"\"sku\"\": \"\"SKU-92985\"\", \"\"qty\"\": 2, \"\"price\"\": 156.73}]\",apple_pay,460.35,96.95,2026-01-07T13:51:27.690685,1234.65,TXN-97101482\r\nafc459ac-6d24-4103-afae-395a97bd21d0,\"[{\"\"sku\"\": \"\"SKU-28484\"\", \"\"qty\"\": 5, \"\"price\"\": 260.93}, {\"\"sku\"\": \"\"SKU-74830\"\", \"\"qty\"\": 4, \"\"price\"\": 418.47}, {\",paypal,593.52,178.42,2026-01-07T13:51:27.690791,1399.97,TXN-64458914\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"March 2022\",\n  \"total_revenue\": 2472943,\n  \"units_sold\": 2053,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3703587,\n      \"growth\": 38.49\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3200920,\n      \"growth\": -8.82\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8959\",\n      \"sales\": 220308\n    },\n    {\n      \"sku\": \"SKU-7189\",\n      \"sales\": 206126\n    },\n    {\n      \"sku\": \"SKU-5359\",\n      \"sales\": 225947\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9346457\npatient_mrn: MRN-685856\nprescriber: Thomas Archer\ndate: '2026-01-05'\nmedications:\n- name: Lisinopril\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-7885449\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I93\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I56\"\n\n[patient]\nmrn = \"MRN-838408\"\nage = 81\ngender = \"F\"\n\n[vitals]\nbp = \"108/68\"\nhr = 86\ntemp_f = 98.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-19844803\nplatform: instagram\nuser_id: eee48898-e428-4685-b6ea-d0074f4ffb8a\nusername: pinedaryan\ncontent: 'Between past agree writer forget big. Simple glass protect job answer thank.\n\n  Government prepare rather agency hard. Fear director room future hospital.'\ntimestamp: '2026-01-07T13:51:25.753060'\nhashtags:\n- '#fast'\n- '#imagine'\n- '#carry'\nengagement:\n  likes: 1299\n  shares: 900\n  comments: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-29576154\nplatform: instagram\nuser_id: b3774d2a-dced-4164-bd7b-7d043d7ec920\nusername: boydkaren\ncontent: Responsibility this statement area thing imagine free. Under quickly treatment\n  ever end social military. Majority before treatment decide.\ntimestamp: '2026-01-07T13:51:27.160344'\nhashtags:\n- '#involve'\n- '#fact'\n- '#rest'\nengagement:\n  likes: 923\n  shares: 56\n  comments: 396\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-7237025\npatient:\n  mrn: MRN-276187\n  age: 53\n  gender: F\nencounter_date: '2026-01-06'\nchief_complaint: fever\nvitals:\n  bp: 95/82\n  hr: 103\n  temp_f: 102.9\nassessment:\n- problem: diabetes\n  icd10: J46\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.10600\",\n  \"title\": \"Reactive bi-directional middleware\",\n  \"authors\": [\n    {\n      \"name\": \"Sarah Rose\",\n      \"affiliation\": \"Martin, Taylor and Mills\",\n      \"email\": \"adrianporter@example.com\"\n    },\n    {\n      \"name\": \"Samantha Garcia\",\n      \"affiliation\": \"Santiago LLC\",\n      \"email\": \"cbrewer@example.net\"\n    }\n  ],\n  \"abstract\": \"Carry prove certain tell event break. Thus not actually teacher girl perhaps.\",\n  \"keywords\": [\n    \"public\",\n    \"stock\",\n    \"student\",\n    \"hair\",\n    \"hard\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.6112/KodW\"\n  },\n  \"citations\": 273,\n  \"funding_source\": \"Salazar, Mullen and Johnson\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-524008</product_id>\n<name>Implemented multimedia focus group</name>\n<category>electronics</category>\n<price>524.9</price>\n<currency>USD</currency>\n<stock>714</stock>\n<is_available>True</is_available>\n<rating>2.56</rating>\n<reviews>633</reviews>\n<specs>\n<weight_kg>40.1</weight_kg>\n<dimensions>80x44x77cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-96998587\ncustomer_id: ee50bb87-b523-4e25-a457-71a20134c9ce\ntimestamp: '2026-01-06T09:43:32.230191'\nitems:\n- sku: SKU-38396\n  qty: 2\n  price: 358.14\n- sku: SKU-16249\n  qty: 1\n  price: 424.96\n- sku: SKU-37380\n  qty: 2\n  price: 416.71\n- sku: SKU-19778\n  qty: 1\n  price: 470.22\nsubtotal: 641.99\ntax: 131.13\ntotal: 2135.0\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-613322\"\nstudent_id = \"STU-814570\"\ncourse_id = \"CRS-3548\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 64\npercentage = 69.35\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Phased clear-thinking concept API\n  version: 1.0.0\npaths:\n  /such:\n    get:\n      summary: Cup door discussion first identify.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-744456\",\n  \"student_id\": \"STU-954920\",\n  \"course_id\": \"CRS-3021\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 97,\n  \"percentage\": 89.67,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-942707\",\n  \"name\": \"Organic demand-driven installation\",\n  \"category\": \"books\",\n  \"price\": 698.66,\n  \"currency\": \"USD\",\n  \"stock\": 819,\n  \"is_available\": true,\n  \"rating\": 4.45,\n  \"reviews\": 103,\n  \"specs\": {\n    \"weight_kg\": 32.63,\n    \"dimensions\": \"66x30x83cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-942707</product_id>\n<name>Organic demand-driven installation</name>\n<category>books</category>\n<price>698.66</price>\n<currency>USD</currency>\n<stock>819</stock>\n<is_available>True</is_available>\n<rating>4.45</rating>\n<reviews>103</reviews>\n<specs>\n<weight_kg>32.63</weight_kg>\n<dimensions>66x30x83cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-20150897</post_id>\n<platform>instagram</platform>\n<user_id>ace3958f-4578-4576-9236-9cbfc1f62953</user_id>\n<username>spatrick</username>\n<content>About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\nCertain miss girl different both wife. Blood relationship if model.</content>\n<timestamp>2026-01-07T13:51:25.995017</timestamp>\n<hashtags>#share</hashtags>\n<hashtags>#prevent</hashtags>\n<hashtags>#entire</hashtags>\n<hashtags>#owner</hashtags>\n<engagement>\n<likes>3129</likes>\n<shares>891</shares>\n<comments>28</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Barnes, Wagner and Woodard\nticker: WRZK\nquarter: Q1 2023\nrevenue: 51703659\nexpenses: 62547786\nnet_income: 16787534\neps: 3.63\nmetrics:\n  profit_margin: 16.34\n  roe: 10.14\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need lab result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,CMP,MRN-969104,LAB-8106223,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 136.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 60.3, \"\"un\"\r\n2026-01-02,CBC,MRN-813174,LAB-6129983,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 80.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-04,CBC,MRN-281434,LAB-3613974,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 61.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"va\"\r\n2026-01-02,Lipid,MRN-751688,LAB-9849585,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 185.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-8172649\"\nheadline = \"Triple-buffered responsive model\"\nauthor = \"Rachel Clark\"\npublished = \"2026-01-03T00:35:22.551008\"\nsection = \"Business\"\ncontent = \"Pattern capital time compare include night top. Large than important morning.\\nCard authority protect present return while middle. Development miss write five.\"\ntags = [ \"consider\", \"whatever\", \"part\", \"however\", \"special\",]\nviews = 49705\nshares = 392\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Between past agree writer forget big. Simple glass protect job answer thank.\nGovernment prepare rath\",90,1299,900,\"[\"\"#fast\"\", \"\"#imagine\"\", \"\"#carry\"\"]\",instagram,POST-19844803,2026-01-07T13:51:25.753060,eee48898-e428-4685-b6ea-d0074f4ffb8a,pinedaryan\r\nManage medical study fall nice just pretty exactly. Compare mother tell general. Black hit other pap,254,1470,392,\"[\"\"#Republican\"\", \"\"#center\"\", \"\"#huge\"\"]\",instagram,POST-69326235,2026-01-07T13:51:25.754323,8a563364-48d7-4595-b100-acd912d5da79,seankim\r\nTrade eye start. Break my blue member all. Though decision discover cause poor. Behavior head quickl,148,8701,622,\"[\"\"#five\"\", \"\"#particularly\"\", \"\"#believe\"\"]\",twitter,POST-43289068,2026-01-07T13:51:25.754690,390a4360-d445-460b-b99a-d14e0c8a0492,bestlindsey\r\nYet wide still every. Peace where city success. Chance a world under player send operation.,394,3968,538,\"[\"\"#experience\"\", \"\"#popular\"\"]\",instagram,POST-89448830,2026-01-07T13:51:25.754966,00483d57-302f-4d07-966b-c36d87cbbcf9,aaron61\r\n\"Set wish would loss certain home week allow. Food traditional hot wrong face receive.\nCurrent scene \",243,8429,63,\"[\"\"#set\"\", \"\"#happen\"\", \"\"#front\"\"]\",facebook,POST-58395990,2026-01-07T13:51:25.755271,f42556f9-3a62-4d11-9d37-c7e3b8136ca4,agrimes\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-893180,,CRS-6394,,2026-01-03,A,,,,,73.06,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 10, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 8, \"\"p\",STU-881633,,,98,quiz\r\n,NRE275,CRS-8192,4,,,40,30,30,Stephanie Bailey,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"product\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"mean\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"to\"\"}, {\"\"week\"\":\",,,Spring 2021,Sharable methodical policy 101,,\r\n,AES243,CRS-6843,3,,,40,30,30,Antonio Hunt,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"resource\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"drive\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"shake\"\"}, {\"\"w\",,,Spring 2023,Fundamental bandwidth-monitored matrix 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-613322</assessment_id>\n<student_id>STU-814570</student_id>\n<course_id>CRS-3548</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>64</total_score>\n<percentage>69.35</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.48279</paper_id>\n<title>Operative systemic definition</title>\n<authors>\n<name>Patricia Owens</name>\n<affiliation>Pearson, Quinn and Owens</affiliation>\n<email>christopher41@example.net</email>\n</authors>\n<authors>\n<name>Wayne Boyd</name>\n<affiliation>Delacruz-Weaver</affiliation>\n<email>powens@example.net</email>\n</authors>\n<authors>\n<name>Christopher Castillo</name>\n<affiliation>Lawrence-Caldwell</affiliation>\n<email>amandacarey@example.com</email>\n</authors>\n<abstract>Tv wear teacher under doctor. Eight mention month argue amount how voice.</abstract>\n<keywords>month</keywords>\n<keywords>southern</keywords>\n<keywords>administration</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2021</year>\n<doi>10.1648/XIrv</doi>\n</publication>\n<citations>167</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.48279\",\n  \"title\": \"Operative systemic definition\",\n  \"authors\": [\n    {\n      \"name\": \"Patricia Owens\",\n      \"affiliation\": \"Pearson, Quinn and Owens\",\n      \"email\": \"christopher41@example.net\"\n    },\n    {\n      \"name\": \"Wayne Boyd\",\n      \"affiliation\": \"Delacruz-Weaver\",\n      \"email\": \"powens@example.net\"\n    },\n    {\n      \"name\": \"Christopher Castillo\",\n      \"affiliation\": \"Lawrence-Caldwell\",\n      \"email\": \"amandacarey@example.com\"\n    }\n  ],\n  \"abstract\": \"Tv wear teacher under doctor. Eight mention month argue amount how voice.\",\n  \"keywords\": [\n    \"month\",\n    \"southern\",\n    \"administration\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2021,\n    \"doi\": \"10.1648/XIrv\"\n  },\n  \"citations\": 167,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-8846154\nheadline: Phased bifurcated instruction set\nauthor: Melanie Kennedy\npublished: '2026-01-02T14:27:49.190328'\nsection: Sports\ncontent: 'Edge wear coach whether dog sell respond. Claim feeling meeting somebody\n  four real.\n\n  Indeed use send represent leader require. Cup attack instead discuss. Plan with\n  character rule.\n\n  Information mind company even serve. Experience pattern but certain she design speech.'\ntags:\n- memory\n- score\n- game\n- join\nviews: 47684\nshares: 4081\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nengagement:\n  likes: 6676\n  shares: 196\n  comments: 84\nusername: nicholasalvarez\npost_id: POST-61351209\nhashtags:\n- '#pretty'\n- '#admit'\n- '#available'\nuser_id: 5e546096-8461-4a3f-84e6-813e9e89a39c\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2023</period>\n<total_revenue>9732569</total_revenue>\n<units_sold>38507</units_sold>\n<channels>\n<name>retail</name>\n<revenue>4979277</revenue>\n<growth>36.06</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4800863</revenue>\n<growth>8.87</growth>\n</channels>\n<top_products>\n<sku>SKU-5649</sku>\n<sales>311811</sales>\n</top_products>\n<top_products>\n<sku>SKU-1879</sku>\n<sales>391924</sales>\n</top_products>\n<top_products>\n<sku>SKU-4665</sku>\n<sales>317392</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"September 2023\",\n  \"total_revenue\": 9732569,\n  \"units_sold\": 38507,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4979277,\n      \"growth\": 36.06\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4800863,\n      \"growth\": 8.87\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5649\",\n      \"sales\": 311811\n    },\n    {\n      \"sku\": \"SKU-1879\",\n      \"sales\": 391924\n    },\n    {\n      \"sku\": \"SKU-4665\",\n      \"sales\": 317392\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3836429</review_id>\n<product_id>PROD-852988</product_id>\n<user_id>39a3d2bd-fb84-4dfc-9cb6-45bd3ebddca0</user_id>\n<rating>2</rating>\n<title>Report thus get describe identify.</title>\n<content>Or dog never any center population. Program it they Republican over step. Who television finish true game.\nList catch candidate west research. Meeting many imagine.</content>\n<date>2026-01-01</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>23</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need experiment result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-883170\ntitle: Effect of raise on whatever\nmethodology:\n  design: observational\n  sample_size: 694\n  duration_days: 58\nresults:\n- metric: safety\n  baseline: 44.38\n  endpoint: 67.27\n  p_value: 0.4662\n- metric: efficacy\n  baseline: 76.3\n  endpoint: 51.81\n  p_value: 0.221\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-7937835\",\n  \"patient\": {\n    \"mrn\": \"MRN-749785\",\n    \"age\": 66,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"179/85\",\n    \"hr\": 81,\n    \"temp_f\": 101.7\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I52\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J76\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"review_id\": \"REV-7250124\",\n  \"product_id\": \"PROD-375265\",\n  \"user_id\": \"48302d32-0445-4405-afc6-604ef6300782\",\n  \"rating\": 1,\n  \"title\": \"Very responsibility coach economy sea public you.\",\n  \"content\": \"Chair painting shake city kind good though. Find reality water support key.\\nFly party couple production fight. Live attention anyone her traditional. I room blood condition research fund model.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 78\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-7250124</review_id>\n<product_id>PROD-375265</product_id>\n<user_id>48302d32-0445-4405-afc6-604ef6300782</user_id>\n<rating>1</rating>\n<title>Very responsibility coach economy sea public you.</title>\n<content>Chair painting shake city kind good though. Find reality water support key.\nFly party couple production fight. Live attention anyone her traditional. I room blood condition research fund model.</content>\n<date>2026-01-03</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>78</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-9878120\"\npatient_mrn = \"MRN-230554\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 143.6\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 132.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 179.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 81.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 74.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 111.8\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 117.1\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: e78ff1cc-d984-499d-9fcf-126ccada9355\ntimestamp: '2026-01-07T13:51:26.607679'\nlevel: WARNING\nservice: generationService\nmessage: Bag difference growth have leader yeah him.\nstack_trace:\n- at teach.py:30\n- at poor.py:409\ncontext:\n  user_id: e8daac99-0bad-4fb0-ae26-78525528db85\n  request_id: a6fe9e0f-a1a6-42b2-ab77-98b8bb662a52\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-3684509\"\npatient_mrn = \"MRN-644382\"\nprescriber = \"Chelsea Henson\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 60\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"TID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-8348908\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J60\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K69\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J80\"\n\n[patient]\nmrn = \"MRN-109351\"\nage = 84\ngender = \"F\"\n\n[vitals]\nbp = \"157/81\"\nhr = 101\ntemp_f = 97.1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.67502\"\ntitle = \"Decentralized zero-defect hardware\"\nabstract = \"Another just all lose phone response. Language argue in expect how.\"\nkeywords = [ \"then\", \"two\", \"interview\",]\ncitations = 306\nfunding_source = \"Hamilton, Jones and Mullen\"\n[[authors]]\nname = \"Jonathan Maldonado\"\naffiliation = \"Miles-Strickland\"\nemail = \"glennschaefer@example.com\"\n\n[[authors]]\nname = \"Tina Davis\"\naffiliation = \"Simmons, King and Cooper\"\nemail = \"matthew39@example.org\"\n\n[[authors]]\nname = \"Todd Jones\"\naffiliation = \"Page, Williams and Miller\"\nemail = \"richardjohnson@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.9816/ObNW\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"table\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"team\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"miss\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"face\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sort\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"effect\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"still\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"training\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"different\"\n    }\n  ],\n  \"code\": \"GHC481\",\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"term\": \"Spring 2020\",\n  \"credits\": 4\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<schedule>\n<week>1</week>\n<topic>table</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>team</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>miss</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>face</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sort</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>effect</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>still</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>training</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>different</topic>\n</schedule>\n<code>GHC481</code>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<term>Spring 2020</term>\n<credits>4</credits>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4303735</result_id>\n<patient_mrn>MRN-230243</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>142.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>100.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-4303735\",\n  \"patient_mrn\": \"MRN-230243\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 100.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 148.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-93814090</post_id>\n<platform>facebook</platform>\n<user_id>6a4446e9-5537-4ba1-bf03-5db2d36e07b9</user_id>\n<username>tonyaguzman</username>\n<content>Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.</content>\n<timestamp>2026-01-07T13:51:26.454281</timestamp>\n<hashtags>#plan</hashtags>\n<hashtags>#area</hashtags>\n<hashtags>#foreign</hashtags>\n<engagement>\n<likes>5322</likes>\n<shares>327</shares>\n<comments>152</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-93814090\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"6a4446e9-5537-4ba1-bf03-5db2d36e07b9\",\n  \"username\": \"tonyaguzman\",\n  \"content\": \"Subject watch side owner new. Quality million clear hand clearly environmental. Forget face machine little check.\",\n  \"timestamp\": \"2026-01-07T13:51:26.454281\",\n  \"hashtags\": [\n    \"#plan\",\n    \"#area\",\n    \"#foreign\"\n  ],\n  \"engagement\": {\n    \"likes\": 5322,\n    \"shares\": 327,\n    \"comments\": 152\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\ncredits: 4\ncourse_id: CRS-7759\nschedule:\n- week: 1\n  topic: meet\n- week: 2\n  topic: around\n- week: 3\n  topic: college\n- week: 4\n  topic: fly\n- week: 5\n  topic: summer\n- week: 6\n  topic: painting\n- week: 7\n  topic: size\n- week: 8\n  topic: 'off'\n- week: 9\n  topic: point\n- week: 10\n  topic: light\n- week: 11\n  topic: nothing\ninstructor: Matthew Johnson\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output sales analytics as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"February 2024\",\n  \"total_revenue\": 3108970,\n  \"units_sold\": 70292,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1867975,\n      \"growth\": -2.95\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1947932,\n      \"growth\": 22.54\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-5409\",\n      \"sales\": 492017\n    },\n    {\n      \"sku\": \"SKU-4816\",\n      \"sales\": 486050\n    },\n    {\n      \"sku\": \"SKU-9957\",\n      \"sales\": 44038\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-613322\",\n  \"student_id\": \"STU-814570\",\n  \"course_id\": \"CRS-3548\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 64,\n  \"percentage\": 69.35,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\npost_id = \"POST-20150897\"\nplatform = \"instagram\"\nuser_id = \"ace3958f-4578-4576-9236-9cbfc1f62953\"\nusername = \"spatrick\"\ncontent = \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\"\ntimestamp = \"2026-01-07T13:51:25.995017\"\nhashtags = [ \"#share\", \"#prevent\", \"#entire\", \"#owner\",]\n\n[engagement]\nlikes = 3129\nshares = 891\ncomments = 28\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-20150897\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ace3958f-4578-4576-9236-9cbfc1f62953\",\n  \"username\": \"spatrick\",\n  \"content\": \"About industry woman size. Available box return camera public time. Establish outside ability sport describe air who.\\nCertain miss girl different both wife. Blood relationship if model.\",\n  \"timestamp\": \"2026-01-07T13:51:25.995017\",\n  \"hashtags\": [\n    \"#share\",\n    \"#prevent\",\n    \"#entire\",\n    \"#owner\"\n  ],\n  \"engagement\": {\n    \"likes\": 3129,\n    \"shares\": 891,\n    \"comments\": 28\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,cc597ab0-ad26-419a-8cbb-1facc38a2f79,dc348ded-7e54-44aa-bfc8-75caf977ffdf,7af25ba6-3e63-43d5-89e6-c5a6b377b923,,,CRITICAL,Prevent true movie stop.,,,,,downService,\"[\"\"at hand.py:436\"\", \"\"at whose.py:275\"\", \"\"at information.py:57\"\", \"\"at central.py:306\"\"]\",2026-01-07T13:51:26.975438,\r\nOffice seat military low watch than message. Less career open task sister. Listen black single colle,\"[{\"\"name\"\": \"\"Michael Harrell\"\", \"\"affiliation\"\": \"\"Garrison, Jones and Carter\"\", \"\"email\"\": \"\"hawkinsscott@exa\",2,,,,\"Morse, Wallace and Chaney\",\"[\"\"yet\"\", \"\"friend\"\", \"\"window\"\", \"\"hotel\"\", \"\"hour\"\"]\",,,arXiv:2020.65137,10.4037/HCtk,Nature,2022,,,,Configurable disintermediate analyzer\r\nConcern develop institution at while development very. Rock PM view sea.,\"[{\"\"name\"\": \"\"Jennifer Parker\"\", \"\"affiliation\"\": \"\"Howe-Gray\"\", \"\"email\"\": \"\"nathan31@example.net\"\"}, {\"\"name\"\": \",328,,,,None,\"[\"\"talk\"\", \"\"new\"\", \"\"window\"\", \"\"ground\"\", \"\"team\"\"]\",,,arXiv:2024.76212,10.8353/sGCQ,Science,2023,,,,Front-line solution-oriented customer loyalty\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 7af25ba6-3e63-43d5-89e6-c5a6b377b923\ntimestamp: '2026-01-07T13:51:26.975438'\nlevel: CRITICAL\nservice: downService\nmessage: Prevent true movie stop.\nstack_trace:\n- at hand.py:436\n- at whose.py:275\n- at information.py:57\n- at central.py:306\ncontext:\n  user_id: dc348ded-7e54-44aa-bfc8-75caf977ffdf\n  request_id: cc597ab0-ad26-419a-8cbb-1facc38a2f79\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-353280\nstudent_id: STU-259399\ncourse_id: CRS-9241\ntype: quiz\ndate: '2026-01-05'\nscores:\n- question: 1\n  points_earned: 4\n  points_possible: 10\n- question: 2\n  points_earned: 6\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 9\n  points_possible: 10\n- question: 7\n  points_earned: 7\n  points_possible: 10\n- question: 8\n  points_earned: 4\n  points_possible: 10\n- question: 9\n  points_earned: 3\n  points_possible: 10\n- question: 10\n  points_earned: 7\n  points_possible: 10\n- question: 11\n  points_earned: 7\n  points_possible: 10\n- question: 12\n  points_earned: 0\n  points_possible: 10\n- question: 13\n  points_earned: 2\n  points_possible: 10\ntotal_score: 68\npercentage: 88.23\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<revenue>81140617</revenue>\n<metrics>\n<profit_margin>25.46</profit_margin>\n<roe>20.6</roe>\n</metrics>\n<quarter>Q1 2021</quarter>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"revenue\": 81140617,\n  \"metrics\": {\n    \"profit_margin\": 25.46,\n    \"roe\": 20.6\n  },\n  \"quarter\": \"Q1 2021\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-990980,Andrew Kelly,RX-4278484\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-339837,Jessica Lyons,RX-2380006\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-118858,Cory Jordan,RX-4834917\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Face-to-face zero administration application API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/peace\": {\n      \"get\": {\n        \"summary\": \"Feel piece low way effort action bag.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Face-to-face zero administration application API\"\nversion = \"1.0.0\"\n\n[paths.\"/peace\".get]\nsummary = \"Feel piece low way effort action bag.\"\n[[paths.\"/peace\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/peace\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/peace\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/peace\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/peace\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Official police serve past already. Number down similar senior head amount. Focus reality really hol,,2026-01-03,99,,,,PROD-853148,3,REV-9723622,,,,,Risk tell team series house.,44919496-69de-498e-922c-5ea4230c00fa,False\r\nelectronics,,USD,,,True,Ergonomic explicit portal,500.69,PROD-863871,4.89,,345,29x24x72cm,0.91,341,,,\r\nelectronics,,USD,,,True,Future-proofed zero-defect database,342.1,PROD-397434,2.25,,232,82x47x38cm,19.21,260,,,\r\nclothing,,USD,,,True,Object-based solution-oriented help-desk,859.24,PROD-206909,1.36,,812,49x31x72cm,0.46,258,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-1129442</note_id>\n<patient>\n<mrn>MRN-895859</mrn>\n<age>79</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>127/81</bp>\n<hr>117</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2281\"\ncode = \"NHA456\"\ntitle = \"Profit-focused mission-critical hardware 101\"\ninstructor = \"Natalie Middleton\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"its\"\n\n[[schedule]]\nweek = 2\ntopic = \"attorney\"\n\n[[schedule]]\nweek = 3\ntopic = \"decision\"\n\n[[schedule]]\nweek = 4\ntopic = \"every\"\n\n[[schedule]]\nweek = 5\ntopic = \"direction\"\n\n[[schedule]]\nweek = 6\ntopic = \"player\"\n\n[[schedule]]\nweek = 7\ntopic = \"city\"\n\n[[schedule]]\nweek = 8\ntopic = \"everybody\"\n\n[[schedule]]\nweek = 9\ntopic = \"throw\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-6947725\npatient_mrn: MRN-930903\nprescriber: Troy Boyd\ndate: '2026-01-04'\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n- name: Metformin\n  dosage: 10mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-549878</assessment_id>\n<student_id>STU-264168</student_id>\n<course_id>CRS-6692</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>70</total_score>\n<percentage>54.38</percentage>\n<grade>C</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-549878\",\n  \"student_id\": \"STU-264168\",\n  \"course_id\": \"CRS-6692\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 70,\n  \"percentage\": 54.38,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output course syllabus as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\n,CRS-7759,4,40,30,30,Matthew Johnson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"meet\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"around\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"college\"\"}, {\"\"we\",,\r\nJNK131,CRS-1132,4,40,30,30,Nicholas Miranda,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"glass\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"avoid\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"message\"\"}, {\"\"we\",Spring 2023,Object-based exuding productivity 101\r\nGEH438,CRS-5068,4,40,30,30,Daniel Gardner,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"between\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"fine\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"finally\"\"}, {\"\"w\",Spring 2023,Integrated discrete interface 101\r\nFIZ162,CRS-9744,4,40,30,30,Mary Schultz,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"personal\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"pay\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"rest\"\"}, {\"\"week\",Spring 2020,Seamless zero tolerance task-force 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<timestamp>2026-01-07T13:51:25.400660</timestamp>\n<items>\n<sku>SKU-41387</sku>\n<qty>1</qty>\n<price>386.75</price>\n</items>\n<txn_id>TXN-44773795</txn_id>\n<customer_id>acd22e98-51a5-48fa-ad66-a69b8fba3f2b</customer_id>\n<tax>171.02</tax>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"timestamp\": \"2026-01-07T13:51:25.400660\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-41387\",\n      \"qty\": 1,\n      \"price\": 386.75\n    }\n  ],\n  \"txn_id\": \"TXN-44773795\",\n  \"customer_id\": \"acd22e98-51a5-48fa-ad66-a69b8fba3f2b\",\n  \"tax\": 171.02\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-15490463\nplatform: instagram\nuser_id: dcf0c28f-6ad6-4153-873b-0cd39fa73a46\nusername: allenjames\ncontent: 'Eight television free focus window leave. Education Democrat past music\n  mother able. Fund season represent when analysis movement.\n\n  Everything over rich serious forget. Fire particular western.'\ntimestamp: '2026-01-07T13:51:27.338072'\nhashtags:\n- '#left'\n- '#long'\n- '#instead'\n- '#budget'\nengagement:\n  likes: 85\n  shares: 112\n  comments: 292\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1797\"\ncode = \"QAA477\"\ntitle = \"User-friendly composite interface 101\"\ninstructor = \"Selena Walker\"\ncredits = 4\nterm = \"Fall 2024\"\n[[schedule]]\nweek = 1\ntopic = \"all\"\n\n[[schedule]]\nweek = 2\ntopic = \"education\"\n\n[[schedule]]\nweek = 3\ntopic = \"will\"\n\n[[schedule]]\nweek = 4\ntopic = \"operation\"\n\n[[schedule]]\nweek = 5\ntopic = \"western\"\n\n[[schedule]]\nweek = 6\ntopic = \"plan\"\n\n[[schedule]]\nweek = 7\ntopic = \"allow\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J46\"\"}]\",headache,2026-01-03,CN-1129442,79,M,MRN-895859,127/81,117,102.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K66\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J80\"\"}]\",fever,2026-01-04,CN-6537109,57,F,MRN-688642,178/109,84,100.5\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K91\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K86\"\"}]\",headache,2026-01-05,CN-2568338,87,F,MRN-586112,160/76,75,100.8\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I57\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K35\"\"}, {\"\"problem\"\": \"\"hype\",headache,2026-01-03,CN-1355568,49,M,MRN-375922,167/99,84,99.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Brooks LLC\nticker: HFOB\nquarter: Q1 2020\nrevenue: 30917299\nexpenses: 61265128\nnet_income: 10426094\neps: 3.56\nmetrics:\n  profit_margin: 26.89\n  roe: 20.49\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2023.47681\",\n  \"title\": \"Devolved bi-directional info-mediaries\",\n  \"authors\": [\n    {\n      \"name\": \"Christian Randolph\",\n      \"affiliation\": \"Hunt-Haynes\",\n      \"email\": \"patrickmaddox@example.net\"\n    },\n    {\n      \"name\": \"Allen Lewis\",\n      \"affiliation\": \"Owen PLC\",\n      \"email\": \"alexanderhenry@example.net\"\n    },\n    {\n      \"name\": \"Cody Martin\",\n      \"affiliation\": \"Mcknight PLC\",\n      \"email\": \"michael00@example.org\"\n    }\n  ],\n  \"abstract\": \"Help field ten it. Pick eight last star pull. Act politics discuss.\",\n  \"keywords\": [\n    \"hard\",\n    \"open\",\n    \"right\",\n    \"could\",\n    \"sea\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.8057/cNYF\"\n  },\n  \"citations\": 411,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.47681</paper_id>\n<title>Devolved bi-directional info-mediaries</title>\n<authors>\n<name>Christian Randolph</name>\n<affiliation>Hunt-Haynes</affiliation>\n<email>patrickmaddox@example.net</email>\n</authors>\n<authors>\n<name>Allen Lewis</name>\n<affiliation>Owen PLC</affiliation>\n<email>alexanderhenry@example.net</email>\n</authors>\n<authors>\n<name>Cody Martin</name>\n<affiliation>Mcknight PLC</affiliation>\n<email>michael00@example.org</email>\n</authors>\n<abstract>Help field ten it. Pick eight last star pull. Act politics discuss.</abstract>\n<keywords>hard</keywords>\n<keywords>open</keywords>\n<keywords>right</keywords>\n<keywords>could</keywords>\n<keywords>sea</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.8057/cNYF</doi>\n</publication>\n<citations>411</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1823437\nheadline: Integrated content-based throughput\nauthor: Anna Ortiz\npublished: '2026-01-05T06:32:59.977242'\nsection: Politics\ncontent: 'Success off activity him process hot whose pay. Most probably including\n  at arm avoid media finally.\n\n  Film traditional together still member. Culture let serve home.\n\n  Choose free minute in rich after image. Family meet health offer total leave media.\n  Education enter against foreign.'\ntags:\n- base\n- fight\n- test\nviews: 75522\nshares: 3070\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-690622\",\n  \"title\": \"Effect of drug on effect\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 718,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 65.65,\n      \"endpoint\": 47.19,\n      \"p_value\": 0.4009\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 18.88,\n      \"endpoint\": 49.79,\n      \"p_value\": 0.0184\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.37,\n      \"endpoint\": 97.44,\n      \"p_value\": 0.3919\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-690622</experiment_id>\n<title>Effect of drug on effect</title>\n<methodology>\n<design>RCT</design>\n<sample_size>718</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>65.65</baseline>\n<endpoint>47.19</endpoint>\n<p_value>0.4009</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>18.88</baseline>\n<endpoint>49.79</endpoint>\n<p_value>0.0184</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.37</baseline>\n<endpoint>97.44</endpoint>\n<p_value>0.3919</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nHimself trial finish sister anyone. Where between test must large common world. Find necessary outsi,\"[{\"\"name\"\": \"\"Sarah Odonnell\"\", \"\"affiliation\"\": \"\"Butler PLC\"\", \"\"email\"\": \"\"mistyreese@example.org\"\"}, {\"\"name\"\"\",73,None,\"[\"\"activity\"\", \"\"face\"\", \"\"enter\"\", \"\"paper\"\"]\",arXiv:2024.97232,10.9637/hhrK,Nature,2024,Enhanced background strategy\r\nWall third society official no threat will. Behind American thus company war sort. Dark each recentl,\"[{\"\"name\"\": \"\"Jennifer Roberts\"\", \"\"affiliation\"\": \"\"Robinson-Thompson\"\", \"\"email\"\": \"\"jacobcastillo@example.or\",350,None,\"[\"\"ok\"\", \"\"back\"\", \"\"fish\"\"]\",arXiv:2024.13693,10.7182/uHQF,Science,2020,Assimilated modular budgetary management\r\nRole see senior friend. Throw which simply.,\"[{\"\"name\"\": \"\"Gary Bates\"\", \"\"affiliation\"\": \"\"Pope-Washington\"\", \"\"email\"\": \"\"angela03@example.net\"\"}, {\"\"name\"\":\",449,\"Wilson, Martin and Nunez\",\"[\"\"among\"\", \"\"fire\"\", \"\"special\"\"]\",arXiv:2020.11097,10.4321/YSQD,Nature,2020,Business-focused next generation migration\r\n\"When music something tough side quickly.\nDinner task lawyer knowledge everyone Mr. She red different\",\"[{\"\"name\"\": \"\"Stephanie Stuart\"\", \"\"affiliation\"\": \"\"Cochran Ltd\"\", \"\"email\"\": \"\"halldarrell@example.org\"\"}, {\"\"n\",83,None,\"[\"\"standard\"\", \"\"too\"\", \"\"when\"\"]\",arXiv:2021.27211,10.2758/InHw,Science,2021,Polarized secondary capability\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2441646\"\npatient_mrn = \"MRN-228148\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 81.9\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 107.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 101.6\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 197.9\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"March 2024\",\n  \"total_revenue\": 2433324,\n  \"units_sold\": 8686,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 3952303,\n      \"growth\": 2.75\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3970412,\n      \"growth\": 12.57\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2514\",\n      \"sales\": 485558\n    },\n    {\n      \"sku\": \"SKU-5241\",\n      \"sales\": 142515\n    },\n    {\n      \"sku\": \"SKU-4600\",\n      \"sales\": 420300\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2024</period>\n<total_revenue>2433324</total_revenue>\n<units_sold>8686</units_sold>\n<channels>\n<name>online</name>\n<revenue>3952303</revenue>\n<growth>2.75</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3970412</revenue>\n<growth>12.57</growth>\n</channels>\n<top_products>\n<sku>SKU-2514</sku>\n<sales>485558</sales>\n</top_products>\n<top_products>\n<sku>SKU-5241</sku>\n<sales>142515</sales>\n</top_products>\n<top_products>\n<sku>SKU-4600</sku>\n<sales>420300</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate course syllabus data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5299\"\ncode = \"BFV450\"\ntitle = \"Future-proofed transitional access 101\"\ninstructor = \"Margaret Waters\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"church\"\n\n[[schedule]]\nweek = 2\ntopic = \"reality\"\n\n[[schedule]]\nweek = 3\ntopic = \"figure\"\n\n[[schedule]]\nweek = 4\ntopic = \"similar\"\n\n[[schedule]]\nweek = 5\ntopic = \"indicate\"\n\n[[schedule]]\nweek = 6\ntopic = \"worry\"\n\n[[schedule]]\nweek = 7\ntopic = \"teacher\"\n\n[[schedule]]\nweek = 8\ntopic = \"maybe\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output sales analytics as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>September 2023</period>\n<total_revenue>9732569</total_revenue>\n<units_sold>38507</units_sold>\n<channels>\n<name>retail</name>\n<revenue>4979277</revenue>\n<growth>36.06</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4800863</revenue>\n<growth>8.87</growth>\n</channels>\n<top_products>\n<sku>SKU-5649</sku>\n<sales>311811</sales>\n</top_products>\n<top_products>\n<sku>SKU-1879</sku>\n<sales>391924</sales>\n</top_products>\n<top_products>\n<sku>SKU-4665</sku>\n<sales>317392</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-440463,Lisa Mathews,RX-6036951\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-374219,Kyle Arnold,RX-9467282\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}]\",MRN-404153,Tyler Day,RX-6466107\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-983646,Joshua Jennings,RX-9128747\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nperiod: March 2022\ntotal_revenue: 2472943\nunits_sold: 2053\nchannels:\n- name: wholesale\n  revenue: 3703587\n  growth: 38.49\n- name: retail\n  revenue: 3200920\n  growth: -8.82\ntop_products:\n- sku: SKU-8959\n  sales: 220308\n- sku: SKU-7189\n  sales: 206126\n- sku: SKU-5359\n  sales: 225947\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from YAML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod = \"March 2022\"\ntotal_revenue = 2472943\nunits_sold = 2053\n[[channels]]\nname = \"wholesale\"\nrevenue = 3703587\ngrowth = 38.49\n\n[[channels]]\nname = \"retail\"\nrevenue = 3200920\ngrowth = -8.82\n\n[[top_products]]\nsku = \"SKU-8959\"\nsales = 220308\n\n[[top_products]]\nsku = \"SKU-7189\"\nsales = 206126\n\n[[top_products]]\nsku = \"SKU-5359\"\nsales = 225947\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<title>Polarized methodical algorithm</title>\n<authors>\n<name>Caroline Barnes</name>\n<affiliation>Parker Ltd</affiliation>\n<email>angelajackson@example.net</email>\n</authors>\n<authors>\n<name>Mario Boyd</name>\n<affiliation>Johnson, Barber and Higgins</affiliation>\n<email>lfuller@example.com</email>\n</authors>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"title\": \"Polarized methodical algorithm\",\n  \"authors\": [\n    {\n      \"name\": \"Caroline Barnes\",\n      \"affiliation\": \"Parker Ltd\",\n      \"email\": \"angelajackson@example.net\"\n    },\n    {\n      \"name\": \"Mario Boyd\",\n      \"affiliation\": \"Johnson, Barber and Higgins\",\n      \"email\": \"lfuller@example.com\"\n    }\n  ],\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-5305677\",\n  \"patient_mrn\": \"MRN-215469\",\n  \"prescriber\": \"Jeremy Hatfield\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5305677</rx_id>\n<patient_mrn>MRN-215469</patient_mrn>\n<prescriber>Jeremy Hatfield</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-506156</experiment_id>\n<title>Effect of window on soldier</title>\n<methodology>\n<design>observational</design>\n<sample_size>884</sample_size>\n<duration_days>87</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>32.86</baseline>\n<endpoint>81.82</endpoint>\n<p_value>0.3265</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>88.84</baseline>\n<endpoint>10.2</endpoint>\n<p_value>0.448</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>27.68</baseline>\n<endpoint>60.55</endpoint>\n<p_value>0.1062</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>51.8</baseline>\n<endpoint>89.23</endpoint>\n<p_value>0.4543</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-506156\",\n  \"title\": \"Effect of window on soldier\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 884,\n    \"duration_days\": 87\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 32.86,\n      \"endpoint\": 81.82,\n      \"p_value\": 0.3265\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 88.84,\n      \"endpoint\": 10.2,\n      \"p_value\": 0.448\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 27.68,\n      \"endpoint\": 60.55,\n      \"p_value\": 0.1062\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 51.8,\n      \"endpoint\": 89.23,\n      \"p_value\": 0.4543\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Realigned grid-enabled definition API\n  version: 1.0.0\npaths:\n  /hope:\n    get:\n      summary: Clearly anyone stop single.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,Lipid,MRN-291114,LAB-7274622,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 160.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 56\"\r\n2026-01-05,CBC,MRN-961585,LAB-2216836,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 105.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-01,CBC,MRN-954970,LAB-8507505,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 95.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 176.9,\"\r\n2026-01-01,CMP,MRN-199211,LAB-4657052,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 146.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-05,Lipid,MRN-337169,LAB-8139224,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 168.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 70\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,order_date,panel,paper_id,publication_doi,publication_venue,publication_year,results,title\r\n,,,,,2026-01-05,Lipid,,,,,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 95.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\",\r\nSuggest money you Congress color choice ten. Crime beyond maybe body decade hard window natural.,\"[{\"\"name\"\": \"\"Steven Allen\"\", \"\"affiliation\"\": \"\"Shelton-Thomas\"\", \"\"email\"\": \"\"monicaporter@example.net\"\"}, {\"\"n\",209,Robinson and Sons,\"[\"\"discuss\"\", \"\"thousand\"\", \"\"five\"\", \"\"can\"\"]\",,,arXiv:2022.53965,10.9987/ukuQ,Nature,2020,,Operative asynchronous frame\r\n\"Beat while from appear ask. Finally contain both number.\nSense whether walk plant tree. These or evi\",\"[{\"\"name\"\": \"\"Melissa Mcgee\"\", \"\"affiliation\"\": \"\"Welch-Jackson\"\", \"\"email\"\": \"\"robertsamanda@example.org\"\"}, {\"\"\",29,None,\"[\"\"reality\"\", \"\"sing\"\", \"\"money\"\", \"\"yourself\"\", \"\"lose\"\"]\",,,arXiv:2020.48309,10.2897/DCIM,Cell,2023,,Reactive actuating access\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-3948\",\n  \"code\": \"CSZ142\",\n  \"title\": \"Intuitive foreground functionalities 101\",\n  \"instructor\": \"Robert Carter\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"catch\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"out\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"story\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"share\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"become\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"part\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"cell\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from CSV to XML:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Streamlined full-range ability,959.9,PROD-723394,3.7,332,53x67x45cm,9.93,28\r\nelectronics,USD,True,Synchronized heuristic standardization,880.8,PROD-606091,3.65,516,67x86x14cm,29.97,683\r\nelectronics,USD,True,Assimilated human-resource matrices,427.66,PROD-549544,3.47,970,62x82x94cm,30.97,140\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-723394</product_id>\n<name>Streamlined full-range ability</name>\n<category>clothing</category>\n<price>959.9</price>\n<currency>USD</currency>\n<stock>28</stock>\n<is_available>True</is_available>\n<rating>3.7</rating>\n<reviews>332</reviews>\n<specs>\n<weight_kg>9.93</weight_kg>\n<dimensions>53x67x45cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-2188860\"\nheadline = \"Advanced well-modulated service-desk\"\nauthor = \"Michael Logan\"\npublished = \"2026-01-03T08:09:52.608144\"\nsection = \"Politics\"\ncontent = \"Include start build no effort continue. Mention sister mention threat.\\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.\"\ntags = [ \"hear\", \"civil\", \"might\", \"way\", \"win\",]\nviews = 35184\nshares = 1092\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint: chest pain\nassessment:\n- problem: diabetes\n  icd10: I85\n- problem: hypertension\n  icd10: I71\nnote_id: CN-8407617\npatient:\n  mrn: MRN-133492\n  age: 88\n  gender: M\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need lab result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-8800763\"\npatient_mrn = \"MRN-170523\"\norder_date = \"2026-01-04\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 189.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 173.7\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 153.2\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 98.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-8275\"\ncode = \"GFU377\"\ntitle = \"Quality-focused eco-centric contingency 101\"\ninstructor = \"Ann York\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"would\"\n\n[[schedule]]\nweek = 2\ntopic = \"important\"\n\n[[schedule]]\nweek = 3\ntopic = \"support\"\n\n[[schedule]]\nweek = 4\ntopic = \"level\"\n\n[[schedule]]\nweek = 5\ntopic = \"low\"\n\n[[schedule]]\nweek = 6\ntopic = \"degree\"\n\n[[schedule]]\nweek = 7\ntopic = \"establish\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Foster Inc\nticker: PSKP\nquarter: Q1 2022\nrevenue: 43206466\nexpenses: 33028916\nnet_income: 14922808\neps: 9.47\nmetrics:\n  profit_margin: 25.44\n  roe: 12.18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-107958</product_id>\n<name>Adaptive asynchronous synergy</name>\n<category>electronics</category>\n<price>349.45</price>\n<currency>USD</currency>\n<stock>717</stock>\n<is_available>True</is_available>\n<rating>1.62</rating>\n<reviews>33</reviews>\n<specs>\n<weight_kg>15.32</weight_kg>\n<dimensions>74x31x68cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Seamless disintermediate flexibility API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</significant>\n<get>\n<summary>Box project skin day catch.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//significant>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2020\"\ntotal_revenue = 2603625\nunits_sold = 51574\n[[channels]]\nname = \"retail\"\nrevenue = 1926384\ngrowth = 34.29\n\n[[channels]]\nname = \"online\"\nrevenue = 1062444\ngrowth = -1.99\n\n[[top_products]]\nsku = \"SKU-3818\"\nsales = 48786\n\n[[top_products]]\nsku = \"SKU-7605\"\nsales = 408187\n\n[[top_products]]\nsku = \"SKU-6728\"\nsales = 223732\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"assessment_id\": \"ASMT-613322\",\n  \"student_id\": \"STU-814570\",\n  \"course_id\": \"CRS-3548\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 64,\n  \"percentage\": 69.35,\n  \"grade\": \"C\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-613322</assessment_id>\n<student_id>STU-814570</student_id>\n<course_id>CRS-3548</course_id>\n<type>assignment</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>64</total_score>\n<percentage>69.35</percentage>\n<grade>C</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.59386\"\ntitle = \"Self-enabling demand-driven application\"\nabstract = \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\"\nkeywords = [ \"song\", \"TV\", \"southern\",]\ncitations = 274\n[[authors]]\nname = \"Keith Wilcox\"\naffiliation = \"Ruiz-Torres\"\nemail = \"martinstephanie@example.org\"\n\n[[authors]]\nname = \"Jennifer Mccoy\"\naffiliation = \"Thompson-Marshall\"\nemail = \"brianvelasquez@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2020\ndoi = \"10.1369/MikD\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-38439045</txn_id>\n<customer_id>39de4165-2950-403a-b7cf-252ec7bafdcc</customer_id>\n<timestamp>2026-01-07T13:51:25.757679</timestamp>\n<items>\n<sku>SKU-68017</sku>\n<qty>5</qty>\n<price>287.63</price>\n</items>\n<items>\n<sku>SKU-13598</sku>\n<qty>1</qty>\n<price>397.9</price>\n</items>\n<items>\n<sku>SKU-25253</sku>\n<qty>4</qty>\n<price>226.78</price>\n</items>\n<items>\n<sku>SKU-92380</sku>\n<qty>1</qty>\n<price>318.47</price>\n</items>\n<subtotal>964.6</subtotal>\n<tax>142.48</tax>\n<total>1270.74</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Care along produce than century against three.\nMedia standard college into fall area country along.\n\",497,9679,447,\"[\"\"#heavy\"\", \"\"#remain\"\", \"\"#world\"\"]\",twitter,POST-11069923,2026-01-06T09:43:32.535447,d671758b-a8f8-4653-912c-7a0913189513,medinatina\r\nShoulder change tend long realize of tend store. Born evidence former return machine. Late travel me,198,1259,96,\"[\"\"#draw\"\", \"\"#hospital\"\", \"\"#beat\"\", \"\"#compare\"\"]\",twitter,POST-50044172,2026-01-06T09:43:32.544975,ac20cd2a-f147-44fc-935c-4e72d6bf94e0,owenskyle\r\n\"Bag unit under institution. One share whether policy dark better door country.\nFinancial director ra\",424,2843,669,\"[\"\"#there\"\", \"\"#area\"\", \"\"#arm\"\"]\",facebook,POST-49306428,2026-01-06T09:43:32.546109,717ca07b-471b-41c6-b3ec-f5a86be7f96b,johnmontgomery\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"June 2022\",\n  \"total_revenue\": 7287772,\n  \"units_sold\": 8566,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 931216,\n      \"growth\": 10.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1224016,\n      \"growth\": 31.92\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1474\",\n      \"sales\": 19268\n    },\n    {\n      \"sku\": \"SKU-3289\",\n      \"sales\": 31397\n    },\n    {\n      \"sku\": \"SKU-4950\",\n      \"sales\": 322920\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2022</period>\n<total_revenue>7287772</total_revenue>\n<units_sold>8566</units_sold>\n<channels>\n<name>retail</name>\n<revenue>931216</revenue>\n<growth>10.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1224016</revenue>\n<growth>31.92</growth>\n</channels>\n<top_products>\n<sku>SKU-1474</sku>\n<sales>19268</sales>\n</top_products>\n<top_products>\n<sku>SKU-3289</sku>\n<sales>31397</sales>\n</top_products>\n<top_products>\n<sku>SKU-4950</sku>\n<sales>322920</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Barnett, Snyder and Gonzalez\nticker: AVGD\nquarter: Q1 2022\nrevenue: 3959468\nexpenses: 47547720\nnet_income: 16972865\neps: 6.98\nmetrics:\n  profit_margin: 5.43\n  roe: 17.06\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-81974797\"\ncustomer_id = \"d9aaad1c-855d-43e4-83cb-ad4ff40c340f\"\ntimestamp = \"2026-01-06T09:43:32.204486\"\nsubtotal = 1436.31\ntax = 66.61\ntotal = 2125.43\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-10892\"\nqty = 2\nprice = 16.64\n\n[[items]]\nsku = \"SKU-98799\"\nqty = 4\nprice = 478.13\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from JSON to YAML:\n{\n  \"assessment_id\": \"ASMT-613322\",\n  \"student_id\": \"STU-814570\",\n  \"course_id\": \"CRS-3548\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 64,\n  \"percentage\": 69.35,\n  \"grade\": \"C\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id: ASMT-613322\nstudent_id: STU-814570\ncourse_id: CRS-3548\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 10\n  points_possible: 10\n- question: 3\n  points_earned: 8\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 7\n  points_possible: 10\n- question: 6\n  points_earned: 7\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\ntotal_score: 64\npercentage: 69.35\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nSmith-Glover,7.31,30652579,9.94,10.91,5856951,Q3 2023,95238846,JROI\r\nKim-Munoz,0.8,40162801,25.56,20.26,10496357,Q4 2024,13444378,FJIO\r\nJennings PLC,5.47,24454781,22.97,19.49,2943097,Q3 2020,20008553,HIYK\r\n\"Merritt, Mcintosh and Moore\",2.84,33959441,24.79,19.51,2529537,Q1 2024,15767946,GWUJ\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nrx_id = \"RX-1795504\"\npatient_mrn = \"MRN-355763\"\nprescriber = \"Henry Padilla\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-1795504\npatient_mrn: MRN-355763\nprescriber: Henry Padilla\ndate: '2026-01-01'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>1467254</total_revenue>\n<units_sold>63744</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2975287</revenue>\n<growth>-1.88</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2665464</revenue>\n<growth>14.77</growth>\n</channels>\n<top_products>\n<sku>SKU-1172</sku>\n<sales>348860</sales>\n</top_products>\n<top_products>\n<sku>SKU-4431</sku>\n<sales>479568</sales>\n</top_products>\n<top_products>\n<sku>SKU-6244</sku>\n<sales>245719</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 1467254,\n  \"units_sold\": 63744,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2975287,\n      \"growth\": -1.88\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2665464,\n      \"growth\": 14.77\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1172\",\n      \"sales\": 348860\n    },\n    {\n      \"sku\": \"SKU-4431\",\n      \"sales\": 479568\n    },\n    {\n      \"sku\": \"SKU-6244\",\n      \"sales\": 245719\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-160417,cohort,354,663,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 13.92, \"\"endpoint\"\": 49.07, \"\"p_value\"\": 0.4102}, {\"\"metric\"\": \"\"safety\"\",\",Effect of agree on both\r\nsignificant,EXP-134188,RCT,157,934,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 72.28, \"\"endpoint\"\": 75.63, \"\"p_value\"\": 0.0624}, {\"\"metric\"\": \"\"efficacy\",Effect of determine on mother\r\nsignificant,EXP-755041,cohort,166,194,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 35.67, \"\"endpoint\"\": 48.11, \"\"p_value\"\": 0.1973}, {\"\"metric\"\": \"\"safety\"\",\",Effect of south on age\r\nnon-significant,EXP-381444,observational,194,761,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 53.66, \"\"endpoint\"\": 50.99, \"\"p_value\"\": 0.1739}, {\"\"metric\"\": \"\"safety\",Effect of world on yeah\r\nsignificant,EXP-610847,observational,147,540,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 71.87, \"\"endpoint\"\": 33.01, \"\"p_value\"\": 0.1766}, {\"\"metric\"\": \"\"efficacy\",Effect of always on measure\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id: EXP-160417\ntitle: Effect of agree on both\nmethodology:\n  design: cohort\n  sample_size: 663\n  duration_days: 354\nresults:\n- metric: safety\n  baseline: 13.92\n  endpoint: 49.07\n  p_value: 0.4102\n- metric: safety\n  baseline: 15.99\n  endpoint: 65.81\n  p_value: 0.3043\n- metric: efficacy\n  baseline: 46.51\n  endpoint: 82.23\n  p_value: 0.4775\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-503172\"\ntitle = \"Effect of police on couple\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 59.14\nendpoint = 85.37\np_value = 0.2568\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 19.52\nendpoint = 48.11\np_value = 0.2468\n\n[[results]]\nmetric = \"safety\"\nbaseline = 68.47\nendpoint = 23.09\np_value = 0.1033\n\n[[results]]\nmetric = \"safety\"\nbaseline = 15.86\nendpoint = 84.72\np_value = 0.4547\n\n[methodology]\ndesign = \"observational\"\nsample_size = 115\nduration_days = 313\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6049132\"\npatient_mrn = \"MRN-362856\"\norder_date = \"2026-01-05\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 67.3\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 178.9\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 126.2\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 147.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 3ee04eb7-6a96-4708-8070-7816402d081f\ntimestamp: '2026-01-07T13:51:26.236854'\nlevel: ERROR\nservice: checkService\nmessage: Base information cell production decade back.\nstack_trace:\n- at quality.py:463\n- at but.py:317\ncontext:\n  user_id: 9d5113f2-65b2-4f61-b9b2-2b011fc1bc1b\n  request_id: f5a78ca9-3dcc-4c14-bcea-f5b7936cdde5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-393455,James Mills,RX-4730473\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\",MRN-943500,Mark Zimmerman,RX-2622480\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastati\",MRN-816427,Eric Brown,RX-3070026\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopri\",MRN-783001,David Mosley,RX-5297075\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-370819</contract_id>\n<parties>\n<name>Stewart, Thompson and Rogers</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Jackson, Griffin and Flowers</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-01</effective_date>\n<term_months>13</term_months>\n<value>109351</value>\n<status>active</status>\n</contract>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-744456,,CRS-3021,,2026-01-03,C,,,,,89.67,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 2, \"\"po\",STU-954920,,,97,exam\r\n,GIH430,CRS-8635,3,,,40,30,30,Kimberly Farley,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"scene\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"subject\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"around\"\"}, {\"\"w\",,,Spring 2020,Future-proofed explicit parallelism 101,,\r\n,ZWE316,CRS-2197,3,,,40,30,30,Jennifer Wright,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"such\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"rise\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"as\"\"}, {\"\"week\"\": 4,\",,,Fall 2021,Future-proofed asynchronous success 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-529942\"\nstudent_id = \"STU-519361\"\ncourse_id = \"CRS-8076\"\ntype = \"exam\"\ndate = \"2026-01-04\"\ntotal_score = 90\npercentage = 85.91\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nperiod: December 2023\ntotal_revenue: 5338205\nunits_sold: 90572\nchannels:\n- name: wholesale\n  revenue: 2316482\n  growth: -1.07\n- name: online\n  revenue: 3744469\n  growth: -0.81\ntop_products:\n- sku: SKU-4601\n  sales: 454934\n- sku: SKU-9892\n  sales: 55264\n- sku: SKU-8319\n  sales: 254442\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod = \"December 2023\"\ntotal_revenue = 5338205\nunits_sold = 90572\n[[channels]]\nname = \"wholesale\"\nrevenue = 2316482\ngrowth = -1.07\n\n[[channels]]\nname = \"online\"\nrevenue = 3744469\ngrowth = -0.81\n\n[[top_products]]\nsku = \"SKU-4601\"\nsales = 454934\n\n[[top_products]]\nsku = \"SKU-9892\"\nsales = 55264\n\n[[top_products]]\nsku = \"SKU-8319\"\nsales = 254442\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nprescriber = \"Jeff Terrell\"\nrx_id = \"RX-1498771\"\ndate = \"2026-01-01\"\npatient_mrn = \"MRN-706266\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Cross-group bottom-line algorithm API\n  version: 1.0.0\npaths:\n  /rule:\n    get:\n      summary: Center available level environment per away author\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2022</period>\n<total_revenue>7287772</total_revenue>\n<units_sold>8566</units_sold>\n<channels>\n<name>retail</name>\n<revenue>931216</revenue>\n<growth>10.96</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1224016</revenue>\n<growth>31.92</growth>\n</channels>\n<top_products>\n<sku>SKU-1474</sku>\n<sales>19268</sales>\n</top_products>\n<top_products>\n<sku>SKU-3289</sku>\n<sales>31397</sales>\n</top_products>\n<top_products>\n<sku>SKU-4950</sku>\n<sales>322920</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"June 2022\",\n  \"total_revenue\": 7287772,\n  \"units_sold\": 8566,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 931216,\n      \"growth\": 10.96\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1224016,\n      \"growth\": 31.92\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1474\",\n      \"sales\": 19268\n    },\n    {\n      \"sku\": \"SKU-3289\",\n      \"sales\": 31397\n    },\n    {\n      \"sku\": \"SKU-4950\",\n      \"sales\": 322920\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>July 2021</period>\n<total_revenue>5979422</total_revenue>\n<units_sold>82076</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3460112</revenue>\n<growth>36.85</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3983364</revenue>\n<growth>5.55</growth>\n</channels>\n<top_products>\n<sku>SKU-1065</sku>\n<sales>105510</sales>\n</top_products>\n<top_products>\n<sku>SKU-4043</sku>\n<sales>281142</sales>\n</top_products>\n<top_products>\n<sku>SKU-1338</sku>\n<sales>43006</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-891981</product_id>\n<name>Focused background info-mediaries</name>\n<category>books</category>\n<price>16.4</price>\n<currency>USD</currency>\n<stock>192</stock>\n<is_available>True</is_available>\n<rating>3.23</rating>\n<reviews>117</reviews>\n<specs>\n<weight_kg>31.51</weight_kg>\n<dimensions>65x39x62cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-668018\ntitle: Effect of three on every\nmethodology:\n  design: RCT\n  sample_size: 792\n  duration_days: 51\nresults:\n- metric: safety\n  baseline: 39.99\n  endpoint: 65.09\n  p_value: 0.1604\n- metric: safety\n  baseline: 39.56\n  endpoint: 97.84\n  p_value: 0.4786\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2337421,\n  \"units_sold\": 23839,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3840938,\n      \"growth\": 18.52\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1512471,\n      \"growth\": 13.02\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1744\",\n      \"sales\": 276633\n    },\n    {\n      \"sku\": \"SKU-5145\",\n      \"sales\": 26445\n    },\n    {\n      \"sku\": \"SKU-9218\",\n      \"sales\": 412054\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\ncontract_id = \"CTR-640570\"\neffective_date = \"2026-01-06\"\nterm_months = 52\nvalue = 450714\nstatus = \"pending\"\n[[parties]]\nname = \"Mitchell-Clark\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Simmons-Marquez\"\nrole = \"party_b\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-640570\nparties:\n- name: Mitchell-Clark\n  role: party_a\n- name: Simmons-Marquez\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 52\nvalue: 450714\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor = \"Tamara Stark\"\nterm = \"Spring 2022\"\ncode = \"VMA483\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-85338602\",\n  \"customer_id\": \"ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\",\n  \"timestamp\": \"2026-01-07T13:51:25.620781\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-22630\",\n      \"qty\": 3,\n      \"price\": 89.97\n    }\n  ],\n  \"subtotal\": 468.67,\n  \"tax\": 148.91,\n  \"total\": 792.01,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-85338602</txn_id>\n<customer_id>ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3</customer_id>\n<timestamp>2026-01-07T13:51:25.620781</timestamp>\n<items>\n<sku>SKU-22630</sku>\n<qty>3</qty>\n<price>89.97</price>\n</items>\n<subtotal>468.67</subtotal>\n<tax>148.91</tax>\n<total>792.01</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate customer review data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Pull open remember her. Pm when choose respond girl fish as.\nStop current know those partner religio\",,2026-01-04,20,,,,PROD-996518,2,REV-3778685,,,,,Entire sell financial radio experience ten.,cf905bad-e34d-4d54-b8fa-e8f40551548c,True\r\nbooks,,USD,,,True,Optimized incremental projection,583.72,PROD-589076,4.8,,509,97x61x69cm,15.03,524,,,\r\nelectronics,,USD,,,True,Advanced non-volatile frame,117.17,PROD-701619,1.3,,999,37x78x40cm,46.23,600,,,\r\nbooks,,USD,,,True,Grass-roots bi-directional approach,812.76,PROD-965672,3.44,,897,11x12x20cm,29.47,130,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nGDK183,CRS-6873,3,40,30,30,Melinda Thompson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"girl\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"explain\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"center\"\"}, {\"\"we\",Fall 2020,Grass-roots 24/7 emulation 101\r\nUWL437,CRS-9225,4,40,30,30,Monica Stewart,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"Democrat\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"clearly\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"sign\"\"}, {\"\"\",Fall 2024,Balanced interactive initiative 101\r\nRFE382,CRS-4501,4,40,30,30,Ryan Morris DDS,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"address\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"democratic\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"least\"\"},\",Fall 2023,Persistent next generation superstructure 101\r\nRLJ212,CRS-9484,4,40,30,30,Lisa Blevins,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"join\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"safe\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"we\"\"}, {\"\"week\"\": 4,\",Spring 2023,De-engineered transitional functionalities 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-6873\ncode: GDK183\ntitle: Grass-roots 24/7 emulation 101\ninstructor: Melinda Thompson\ncredits: 3\nterm: Fall 2020\nschedule:\n- week: 1\n  topic: girl\n- week: 2\n  topic: explain\n- week: 3\n  topic: center\n- week: 4\n  topic: almost\n- week: 5\n  topic: property\n- week: 6\n  topic: call\n- week: 7\n  topic: bad\n- week: 8\n  topic: study\n- week: 9\n  topic: campaign\n- week: 10\n  topic: performance\n- week: 11\n  topic: sport\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-8350891\npatient_mrn: MRN-446802\nprescriber: James Bryant\ndate: '2026-01-03'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn = \"MRN-572762\"\nresult_id = \"LAB-1817134\"\norder_date = \"2026-01-03\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Glucose\"\nvalue = 107.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 112.5\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 76.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 183.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 56.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"product_id\": \"PROD-239354\",\n  \"name\": \"User-centric tertiary contingency\",\n  \"category\": \"electronics\",\n  \"price\": 998.51,\n  \"currency\": \"USD\",\n  \"stock\": 842,\n  \"is_available\": true,\n  \"rating\": 2.36,\n  \"reviews\": 630,\n  \"specs\": {\n    \"weight_kg\": 0.61,\n    \"dimensions\": \"88x23x10cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-239354\nname: User-centric tertiary contingency\ncategory: electronics\nprice: 998.51\ncurrency: USD\nstock: 842\nis_available: true\nrating: 2.36\nreviews: 630\nspecs:\n  weight_kg: 0.61\n  dimensions: 88x23x10cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2022</period>\n<total_revenue>9138741</total_revenue>\n<units_sold>89798</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>1234153</revenue>\n<growth>40.64</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>991509</revenue>\n<growth>-4.15</growth>\n</channels>\n<top_products>\n<sku>SKU-9585</sku>\n<sales>30234</sales>\n</top_products>\n<top_products>\n<sku>SKU-8072</sku>\n<sales>57362</sales>\n</top_products>\n<top_products>\n<sku>SKU-4011</sku>\n<sales>249730</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nForget late prevent year cold able arrive. Few possible himself sing community. Activity campaign su,482,3344,900,\"[\"\"#drop\"\", \"\"#consider\"\", \"\"#nature\"\", \"\"#all\"\"]\",facebook,POST-86945311,2026-01-07T13:51:26.810240,b9da037c-f6cd-4ced-8c95-ca7562cf6118,martinsteven\r\n\"Explain son program science paper evening chance before.\nImprove subject you throw difficult section\",268,4160,122,\"[\"\"#effort\"\", \"\"#vote\"\", \"\"#behind\"\"]\",instagram,POST-89391113,2026-01-07T13:51:26.811649,688b5b55-e549-4b48-9b27-44ea73883cf0,leedanielle\r\nKnow item future general public rich again. Stock green enough wonder suffer.,154,8825,337,\"[\"\"#kitchen\"\", \"\"#produce\"\", \"\"#executive\"\"]\",twitter,POST-22462345,2026-01-07T13:51:26.812027,ae08132b-1401-4b9c-96e8-11bf9f8cdb57,barneskristine\r\n\"Specific somebody difficult language. None stage color employee evening really center.\nThus usually \",484,5851,696,\"[\"\"#word\"\", \"\"#late\"\", \"\"#value\"\", \"\"#president\"\"]\",facebook,POST-30269346,2026-01-07T13:51:26.812330,8a63b8bb-cc35-4bf1-8bb9-e3966ff7045b,hfox\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output contract as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-926700\",\n  \"parties\": [\n    {\n      \"name\": \"Kelly-Jackson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Ramos, Hampton and Hartman\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 36,\n  \"value\": 178791,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"October 2022\"\ntotal_revenue = 5609466\nunits_sold = 40133\n[[channels]]\nname = \"wholesale\"\nrevenue = 1404215\ngrowth = 6.31\n\n[[channels]]\nname = \"online\"\nrevenue = 866007\ngrowth = 19.52\n\n[[top_products]]\nsku = \"SKU-3202\"\nsales = 442276\n\n[[top_products]]\nsku = \"SKU-9434\"\nsales = 331310\n\n[[top_products]]\nsku = \"SKU-4977\"\nsales = 262255\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-842353\"\nname = \"Synergistic bottom-line conglomeration\"\ncategory = \"books\"\nprice = 609.49\ncurrency = \"USD\"\nstock = 399\nis_available = true\nrating = 1.05\nreviews = 570\n\n[specs]\nweight_kg = 25.04\ndimensions = \"30x19x82cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,4ccfb0b5-8185-4d26-902a-0379b3534400,6765bd92-f82e-426f-a383-fa0a088a0752,234c0781-6e40-4e46-8b0d-ad1b39309eb0,,,WARNING,Section material entire top community.,,,,,beyondService,\"[\"\"at reason.py:320\"\", \"\"at always.py:365\"\", \"\"at red.py:27\"\"]\",2026-01-07T13:51:25.659911,\r\nHe spring these realize fund watch pattern five. House job concern green involve staff live.,\"[{\"\"name\"\": \"\"Ashley Castro\"\", \"\"affiliation\"\": \"\"Murray-Pineda\"\", \"\"email\"\": \"\"austin77@example.com\"\"}, {\"\"name\"\"\",178,,,,Golden-Young,\"[\"\"thousand\"\", \"\"training\"\", \"\"paper\"\", \"\"me\"\"]\",,,arXiv:2021.11274,10.6489/QMWy,Nature,2021,,,,Versatile tertiary forecast\r\n\"Professor simple choice discussion though trade. Base energy hear chance.\nPlayer mean radio he contr\",\"[{\"\"name\"\": \"\"Mr. Charles Cole\"\", \"\"affiliation\"\": \"\"Bullock Inc\"\", \"\"email\"\": \"\"john05@example.com\"\"}, {\"\"name\"\":\",138,,,,None,\"[\"\"pass\"\", \"\"teach\"\", \"\"entire\"\", \"\"civil\"\"]\",,,arXiv:2021.97664,10.5548/vtXG,Science,2024,,,,Polarized global collaboration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id: 5642be10-2f96-4bf3-93bb-ea73b498db7e\ntimestamp: '2026-01-07T13:51:27.704310'\ntotal: 2159.3\ntax: 150.65\nitems:\n- sku: SKU-21107\n  qty: 2\n  price: 436.86\n- sku: SKU-34269\n  qty: 3\n  price: 260.71\n- sku: SKU-81249\n  qty: 3\n  price: 416.92\n- sku: SKU-97216\n  qty: 3\n  price: 177.96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-544771\",\n  \"parties\": [\n    {\n      \"name\": \"Prince-Finley\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Stone LLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-02\",\n  \"term_months\": 52,\n  \"value\": 394049,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\ncourse_id = \"CRS-1689\"\ncode = \"NZW166\"\ntitle = \"Operative modular system engine 101\"\ninstructor = \"David Chen\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"in\"\n\n[[schedule]]\nweek = 2\ntopic = \"summer\"\n\n[[schedule]]\nweek = 3\ntopic = \"unit\"\n\n[[schedule]]\nweek = 4\ntopic = \"wind\"\n\n[[schedule]]\nweek = 5\ntopic = \"act\"\n\n[[schedule]]\nweek = 6\ntopic = \"itself\"\n\n[[schedule]]\nweek = 7\ntopic = \"would\"\n\n[[schedule]]\nweek = 8\ntopic = \"itself\"\n\n[[schedule]]\nweek = 9\ntopic = \"tell\"\n\n[[schedule]]\nweek = 10\ntopic = \"money\"\n\n[[schedule]]\nweek = 11\ntopic = \"long\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1689</course_id>\n<code>NZW166</code>\n<title>Operative modular system engine 101</title>\n<instructor>David Chen</instructor>\n<credits>4</credits>\n<term>Fall 2021</term>\n<schedule>\n<week>1</week>\n<topic>in</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>unit</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>wind</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>act</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>would</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>itself</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>tell</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>money</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>long</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-842353</product_id>\n<name>Synergistic bottom-line conglomeration</name>\n<category>books</category>\n<price>609.49</price>\n<currency>USD</currency>\n<stock>399</stock>\n<is_available>True</is_available>\n<rating>1.05</rating>\n<reviews>570</reviews>\n<specs>\n<weight_kg>25.04</weight_kg>\n<dimensions>30x19x82cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-8855\",\n  \"code\": \"DBP130\",\n  \"title\": \"Team-oriented 3rdgeneration implementation 101\",\n  \"instructor\": \"Carl Davis\",\n  \"credits\": 3,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"someone\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"bring\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"important\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"he\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"possible\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"office\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"drive\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"Mrs\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8855</course_id>\n<code>DBP130</code>\n<title>Team-oriented 3rdgeneration implementation 101</title>\n<instructor>Carl Davis</instructor>\n<credits>3</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>someone</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>bring</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>important</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>he</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>possible</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>office</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>drive</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>Mrs</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-90196326\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"146c178d-e548-4357-8cd4-e8464cea2f9b\",\n  \"username\": \"kevincunningham\",\n  \"content\": \"Three would identify method across operation opportunity.\\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\\nCentral thus simple thousand morning.\",\n  \"timestamp\": \"2026-01-07T13:51:26.698310\",\n  \"hashtags\": [\n    \"#pay\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 458,\n    \"shares\": 383,\n    \"comments\": 63\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-90196326</post_id>\n<platform>facebook</platform>\n<user_id>146c178d-e548-4357-8cd4-e8464cea2f9b</user_id>\n<username>kevincunningham</username>\n<content>Three would identify method across operation opportunity.\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\nCentral thus simple thousand morning.</content>\n<timestamp>2026-01-07T13:51:26.698310</timestamp>\n<hashtags>#pay</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>458</likes>\n<shares>383</shares>\n<comments>63</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nMiranda Inc,2.99,63009822,15.3,19.89,15955864,Q4 2024,56948593,ZZTY\r\nLi-Mcmahon,6.58,64056741,7.52,21.07,6936963,Q3 2022,79358546,YLOE\r\n\"Sullivan, Garcia and Wright\",7.55,9982797,7.26,10.09,176235,Q1 2024,96598359,UGJQ\r\nClark-Hughes,1.51,26058821,16.2,5.5,11655639,Q1 2024,63450782,JDUP\r\nGutierrez and Sons,5.54,1492089,12.3,10.31,3995826,Q2 2021,53181937,QMPI\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8918474,Angela Conley,\"Note yeah shoulder represent human development. Money personal another west draw door.\nReally window\",Customer-focused mission-critical system engine,2026-01-01T02:40:50.321997,Politics,4267,\"[\"\"which\"\", \"\"name\"\", \"\"approach\"\"]\",41768\r\nART-8959558,Angela Wilson,\"Everyone chance this standard against value point true. Peace in data hospital.\nBlack new side agenc\",Object-based interactive approach,2026-01-05T22:30:10.254480,Politics,2098,\"[\"\"consumer\"\", \"\"network\"\", \"\"it\"\"]\",89940\r\nART-7488735,Ryan Mccarty,Apply note fall own day read case. Pull work company final agent perhaps. Whether nice marriage arti,Triple-buffered client-server matrix,2026-01-04T11:05:53.983938,Sports,4422,\"[\"\"those\"\", \"\"almost\"\", \"\"maintain\"\"]\",50358\r\nART-2829507,William Bradley,Spring represent foreign sort and reach. Successful cup short water remember major. Second evening g,Enterprise-wide modular function,2026-01-04T13:36:39.165446,Tech,835,\"[\"\"benefit\"\", \"\"everyone\"\", \"\"enjoy\"\", \"\"concern\"\", \"\"true\"\"]\",4781\r\nART-7439124,Diamond Russo,Only level paper fly. Democrat walk indicate mission ever effect. Away ten agency live population dr,User-friendly client-driven firmware,2026-01-02T16:34:12.041049,Business,1502,\"[\"\"soldier\"\", \"\"simply\"\", \"\"manage\"\"]\",10708\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Thompson LLC\"\nticker = \"QQLN\"\nquarter = \"Q2 2020\"\nrevenue = 63838743\nexpenses = 967762\nnet_income = 16633381\neps = 0.69\n\n[metrics]\nprofit_margin = 22.56\nroe = 23.58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following TOML to JSON:\ncontract_id = \"CTR-896633\"\neffective_date = \"2026-01-03\"\nterm_months = 21\nvalue = 926875\nstatus = \"pending\"\n[[parties]]\nname = \"Smith-Cross\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Carrillo and Sons\"\nrole = \"party_b\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9719971</rx_id>\n<patient_mrn>MRN-909141</patient_mrn>\n<prescriber>Heather Stephens</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9719971\",\n  \"patient_mrn\": \"MRN-909141\",\n  \"prescriber\": \"Heather Stephens\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-54622203\"\nplatform = \"instagram\"\nuser_id = \"1456e108-0a50-4482-8f1a-b1cb2398a121\"\nusername = \"fullersteven\"\ncontent = \"Card these member kid western growth. Staff draw say early town general. Large break interesting ten against open.\\nAny fine power truth. Big like investment simple whatever education.\"\ntimestamp = \"2026-01-07T13:51:25.504049\"\nhashtags = [ \"#deep\", \"#yes\", \"#long\", \"#including\",]\n\n[engagement]\nlikes = 464\nshares = 699\ncomments = 294\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-141484\",\n  \"name\": \"Managed bandwidth-monitored focus group\",\n  \"category\": \"books\",\n  \"price\": 751.35,\n  \"currency\": \"USD\",\n  \"stock\": 108,\n  \"is_available\": true,\n  \"rating\": 2.94,\n  \"reviews\": 250,\n  \"specs\": {\n    \"weight_kg\": 6.41,\n    \"dimensions\": \"15x82x35cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-141484</product_id>\n<name>Managed bandwidth-monitored focus group</name>\n<category>books</category>\n<price>751.35</price>\n<currency>USD</currency>\n<stock>108</stock>\n<is_available>True</is_available>\n<rating>2.94</rating>\n<reviews>250</reviews>\n<specs>\n<weight_kg>6.41</weight_kg>\n<dimensions>15x82x35cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-3409162\",\n  \"patient\": {\n    \"mrn\": \"MRN-721241\",\n    \"age\": 35,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"173/107\",\n    \"hr\": 61,\n    \"temp_f\": 99.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-7309915\"\npatient_mrn = \"MRN-389849\"\nprescriber = \"Briana Dickerson\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"txn_id\": \"TXN-31892506\",\n  \"customer_id\": \"6c5d6d8e-2901-438d-be6d-be57a13ea5ab\",\n  \"timestamp\": \"2026-01-07T13:51:25.485684\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-80058\",\n      \"qty\": 4,\n      \"price\": 142.37\n    },\n    {\n      \"sku\": \"SKU-53232\",\n      \"qty\": 1,\n      \"price\": 151.54\n    }\n  ],\n  \"subtotal\": 692.94,\n  \"tax\": 100.91,\n  \"total\": 1647.14,\n  \"payment_method\": \"credit_card\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-31892506</txn_id>\n<customer_id>6c5d6d8e-2901-438d-be6d-be57a13ea5ab</customer_id>\n<timestamp>2026-01-07T13:51:25.485684</timestamp>\n<items>\n<sku>SKU-80058</sku>\n<qty>4</qty>\n<price>142.37</price>\n</items>\n<items>\n<sku>SKU-53232</sku>\n<qty>1</qty>\n<price>151.54</price>\n</items>\n<subtotal>692.94</subtotal>\n<tax>100.91</tax>\n<total>1647.14</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-4164\"\ncode = \"RVR286\"\ntitle = \"Team-oriented incremental info-mediaries 101\"\ninstructor = \"Shannon Miller\"\ncredits = 3\nterm = \"Fall 2023\"\n[[schedule]]\nweek = 1\ntopic = \"stuff\"\n\n[[schedule]]\nweek = 2\ntopic = \"professional\"\n\n[[schedule]]\nweek = 3\ntopic = \"hard\"\n\n[[schedule]]\nweek = 4\ntopic = \"rather\"\n\n[[schedule]]\nweek = 5\ntopic = \"lawyer\"\n\n[[schedule]]\nweek = 6\ntopic = \"camera\"\n\n[[schedule]]\nweek = 7\ntopic = \"focus\"\n\n[[schedule]]\nweek = 8\ntopic = \"spend\"\n\n[[schedule]]\nweek = 9\ntopic = \"couple\"\n\n[[schedule]]\nweek = 10\ntopic = \"quickly\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need research paper details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.59325\ntitle: Centralized contextually-based website\nauthors:\n- name: John Robertson\n  affiliation: Phillips-Fields\n  email: joshuaallen@example.org\n- name: Anna Jackson\n  affiliation: Rasmussen Group\n  email: danielsaustin@example.net\n- name: Susan Hill\n  affiliation: Davidson, Hoffman and Patrick\n  email: scottgallagher@example.org\nabstract: Mouth matter relate approach indicate evening myself. Chance for day Mrs\n  sit begin. Pull machine structure reveal network.\nkeywords:\n- produce\n- participant\n- analysis\npublication:\n  venue: Science\n  year: 2022\n  doi: 10.2487/ifKW\ncitations: 407\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 9cfb0d51-7103-4dab-8dfa-b4e2d417bcd8\ntimestamp: '2026-01-06T09:43:29.782624'\nlevel: ERROR\nservice: hospitalService\nmessage: Strong painting future break college spring.\nstack_trace:\n- at card.py:262\n- at bag.py:228\n- at ball.py:195\ncontext:\n  user_id: 569283d8-c757-4cb0-9758-1e88835e8207\n  request_id: ae51c08d-1c61-4aab-b9c4-b7718883e33e\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following CSV to XML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K44\"\"}]\",fever,2026-01-04,CN-2804449,73,F,MRN-394213,162/64,70,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I45\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I27\"\"}, {\"\"problem\"\": \"\"hype\",fever,2026-01-05,CN-6112078,86,F,MRN-255063,101/79,110,98.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I14\"\"}]\",chest pain,2026-01-04,CN-4468069,35,F,MRN-183820,161/77,115,100.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J19\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I56\"\"}, {\"\"problem\",fever,2026-01-04,CN-3630850,19,F,MRN-470813,149/93,69,99.5\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-2804449</note_id>\n<patient>\n<mrn>MRN-394213</mrn>\n<age>73</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>162/64</bp>\n<hr>70</hr>\n<temp_f>102.7</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K44</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-5646798</article_id>\n<headline>Switchable hybrid groupware</headline>\n<author>Joshua Bell</author>\n<published>2026-01-05T05:31:42.088007</published>\n<section>Business</section>\n<content>List road lay not year. Congress gas full particular according. Prevent hear century game friend civil live.\nPossible option especially woman. Ahead down suffer doctor six traditional. Prove ready American star impact operation just. Difficult yourself difficult base of four letter.</content>\n<tags>author</tags>\n<tags>son</tags>\n<tags>food</tags>\n<views>74484</views>\n<shares>596</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Admit large politics decide might Mr their. Hundred play I deal but player leader old. Then similar ,,2026-01-03,36,,,,PROD-683988,5,REV-9701957,,,,,Teach look history according want manager perform.,4d7f9754-e296-4a29-967f-5c8de166a17c,False\r\nbooks,,USD,,,True,Upgradable static open architecture,976.98,PROD-593322,1.36,,553,38x95x72cm,24.46,889,,,\r\nbooks,,USD,,,True,Optional upward-trending hierarchy,442.15,PROD-913654,1.98,,656,95x22x94cm,22.07,852,,,\r\nbooks,,USD,,,True,Customizable mission-critical collaboration,13.79,PROD-469533,1.86,,300,38x52x15cm,12.94,819,,,\r\nbooks,,USD,,,True,Intuitive optimizing extranet,966.27,PROD-415653,1.7,,480,44x48x60cm,35.81,838,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-9701957\nproduct_id: PROD-683988\nuser_id: 4d7f9754-e296-4a29-967f-5c8de166a17c\nrating: 5\ntitle: Teach look history according want manager perform.\ncontent: Admit large politics decide might Mr their. Hundred play I deal but player\n  leader old. Then similar drug coach.\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 36\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output news article as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-9325048\nheadline: Universal solution-oriented task-force\nauthor: Ms. Amanda Watts\npublished: '2026-01-06T03:10:45.360353'\nsection: Sports\ncontent: 'Head affect often reality already agreement.\n\n  Yourself talk those dog blue water process worry. Door society end shoulder arm\n  strategy good. Girl reflect somebody ahead capital worry involve. Reveal positive\n  mother.\n\n  Bad create color bad baby. Approach bit manager fast place.'\ntags:\n- woman\n- TV\n- sign\n- adult\nviews: 46023\nshares: 1545\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-3682408\"\nheadline = \"Decentralized stable neural-net\"\nauthor = \"Thomas Acevedo\"\npublished = \"2026-01-01T11:30:40.673887\"\nsection = \"Business\"\ncontent = \"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.\"\ntags = [ \"movie\", \"it\", \"chance\",]\nviews = 12438\nshares = 1329\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory = \"electronics\"\nstock = 596\nprice = 218.58\n\n[specs]\nweight_kg = 38.59\ndimensions = \"23x92x45cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Pre-emptive interactive encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/air\": {\n      \"get\": {\n        \"summary\": \"Final democratic whatever event director guy.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1120026</result_id>\n<patient_mrn>MRN-824701</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>168.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>98.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>137.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-270242\"\neffective_date = \"2026-01-05\"\nterm_months = 19\nvalue = 117250\nstatus = \"pending\"\n[[parties]]\nname = \"Moreno Inc\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Jackson, Martin and Farrell\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-28739587\ncustomer_id: 626b288f-7bc9-40db-8370-c072e6d11f08\ntimestamp: '2026-01-06T09:43:34.743621'\nitems:\n- sku: SKU-93439\n  qty: 1\n  price: 119.65\n- sku: SKU-76710\n  qty: 3\n  price: 124.14\nsubtotal: 918.1\ntax: 120.16\ntotal: 2089.15\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from TOML to XML:\nproduct_id = \"PROD-480886\"\nname = \"Operative optimizing monitoring\"\ncategory = \"books\"\nprice = 967.35\ncurrency = \"USD\"\nstock = 887\nis_available = true\nrating = 2.99\nreviews = 465\n\n[specs]\nweight_kg = 39.19\ndimensions = \"82x84x37cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-480886</product_id>\n<name>Operative optimizing monitoring</name>\n<category>books</category>\n<price>967.35</price>\n<currency>USD</currency>\n<stock>887</stock>\n<is_available>True</is_available>\n<rating>2.99</rating>\n<reviews>465</reviews>\n<specs>\n<weight_kg>39.19</weight_kg>\n<dimensions>82x84x37cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?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>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-61935008\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\",\n  \"username\": \"halezachary\",\n  \"content\": \"Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.\",\n  \"timestamp\": \"2026-01-07T13:51:25.597395\",\n  \"hashtags\": [\n    \"#box\",\n    \"#speak\",\n    \"#reason\"\n  ],\n  \"engagement\": {\n    \"likes\": 4027,\n    \"shares\": 604,\n    \"comments\": 194\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-4164\",\n  \"code\": \"RVR286\",\n  \"title\": \"Team-oriented incremental info-mediaries 101\",\n  \"instructor\": \"Shannon Miller\",\n  \"credits\": 3,\n  \"term\": \"Fall 2023\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"stuff\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"professional\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"hard\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rather\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"lawyer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"camera\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"focus\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"spend\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"quickly\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-5336793\npatient_mrn: MRN-644295\nprescriber: Thomas Ponce\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 90\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-9595817\",\n  \"patient\": {\n    \"mrn\": \"MRN-972408\",\n    \"age\": 32,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"102/103\",\n    \"hr\": 113,\n    \"temp_f\": 102.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K99\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-9595817</note_id>\n<patient>\n<mrn>MRN-972408</mrn>\n<age>32</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>102/103</bp>\n<hr>113</hr>\n<temp_f>102.5</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K99</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-553201,Amber Gregory,RX-1134936\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-349397,Martin Walker,RX-1922671\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-284560,Jessica Ellis,RX-9527187\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-297878,Holly Martin,RX-2204324\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-997418,Whitney Cunningham,RX-2190726\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9036427</rx_id>\n<patient_mrn>MRN-461250</patient_mrn>\n<prescriber>Zachary Berry</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-9036427\",\n  \"patient_mrn\": \"MRN-461250\",\n  \"prescriber\": \"Zachary Berry\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Face-to-face zero administration application API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/peace\": {\n      \"get\": {\n        \"summary\": \"Feel piece low way effort action bag.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Face-to-face zero administration application API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</peace>\n<get>\n<summary>Feel piece low way effort action bag.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//peace>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nproduct_id = \"PROD-852387\"\nname = \"Profound logistical array\"\ncategory = \"electronics\"\nprice = 299.46\ncurrency = \"USD\"\nstock = 505\nis_available = true\nrating = 2.95\nreviews = 519\n\n[specs]\nweight_kg = 6.22\ndimensions = \"16x47x36cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id: PROD-852387\nname: Profound logistical array\ncategory: electronics\nprice: 299.46\ncurrency: USD\nstock: 505\nis_available: true\nrating: 2.95\nreviews: 519\nspecs:\n  weight_kg: 6.22\n  dimensions: 16x47x36cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate lab result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-796874,LAB-1432757,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 108.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 189\"\r\n2026-01-04,CMP,MRN-498575,LAB-5447948,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 171.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-03,CMP,MRN-476148,LAB-1090607,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 184.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 130.6, \"\"\"\r\n2026-01-03,Lipid,MRN-213268,LAB-6519387,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 104.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 114.0, \"\r\n2026-01-02,CMP,MRN-878778,LAB-6652338,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 51.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Ameliorated radical initiative API\"\nversion = \"1.0.0\"\n\n[paths.\"/population\".get]\nsummary = \"Lead room develop man according street century.\"\n[[paths.\"/population\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/population\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/population\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/population\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/population\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following TOML to YAML:\nresult_id = \"LAB-2604144\"\npatient_mrn = \"MRN-906692\"\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 180.3\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 97.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 88.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 65.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 95.1\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 86.1\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 152.8\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id: LAB-2604144\npatient_mrn: MRN-906692\norder_date: '2026-01-01'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 180.3\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 97.8\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 88.1\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 65.1\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 95.1\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 86.1\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 152.8\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1521978\nproduct_id: PROD-894495\nuser_id: 0e93d4dc-0d39-4af2-8ec3-d8d1250011b9\nrating: 4\ntitle: Great how data open such.\ncontent: City not either situation all along might. Under could expect build member.\n  Fish ready onto white majority.\ndate: '2026-01-05'\nverified_purchase: false\nhelpful_votes: 57\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2441646</result_id>\n<patient_mrn>MRN-228148</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>81.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>107.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>101.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>197.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.93852\ntitle: Reactive solution-oriented circuit\nauthors:\n- name: Jennifer Gray\n  affiliation: Bryant, Lewis and Wells\n  email: spalmer@example.com\n- name: David Brown\n  affiliation: Cortez, Cook and Ross\n  email: melvin21@example.com\nabstract: 'Law fund huge better or. Federal forward north law. Work available call\n  never.\n\n  Carry cultural day front resource write. Southern white pattern fear.'\nkeywords:\n- wind\n- wife\n- report\n- financial\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.1277/DPuH\ncitations: 45\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nverified_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"txn_id\": \"TXN-23430167\",\n  \"customer_id\": \"7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\",\n  \"timestamp\": \"2026-01-07T13:51:26.046328\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-63492\",\n      \"qty\": 1,\n      \"price\": 90.17\n    },\n    {\n      \"sku\": \"SKU-56350\",\n      \"qty\": 5,\n      \"price\": 336.79\n    }\n  ],\n  \"subtotal\": 152.9,\n  \"tax\": 14.6,\n  \"total\": 796.85,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-23430167</txn_id>\n<customer_id>7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064</customer_id>\n<timestamp>2026-01-07T13:51:26.046328</timestamp>\n<items>\n<sku>SKU-63492</sku>\n<qty>1</qty>\n<price>90.17</price>\n</items>\n<items>\n<sku>SKU-56350</sku>\n<qty>5</qty>\n<price>336.79</price>\n</items>\n<subtotal>152.9</subtotal>\n<tax>14.6</tax>\n<total>796.85</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output api specification as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Secured well-modulated policy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</article>\n<get>\n<summary>During certainly full.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//article>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-651261\"\nname = \"Cross-platform scalable protocol\"\ncategory = \"clothing\"\nprice = 855.77\ncurrency = \"USD\"\nstock = 343\nis_available = true\nrating = 3.23\nreviews = 830\n\n[specs]\nweight_kg = 21.29\ndimensions = \"84x20x91cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"rx_id\": \"RX-8706225\",\n  \"patient_mrn\": \"MRN-970748\",\n  \"prescriber\": \"Brady Keller\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-970748,Brady Keller,RX-8706225\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metform\",MRN-914281,Ashley Duarte,RX-7590923\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-251528,Andre Allen,RX-2945300\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-204037,Allen Carroll,RX-4953586\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-801020,Calvin Gibbs DDS,RX-7400577\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8422</course_id>\n<code>OMY437</code>\n<title>Optimized upward-trending conglomeration 101</title>\n<instructor>Rodney Anderson</instructor>\n<credits>3</credits>\n<term>Spring 2023</term>\n<schedule>\n<week>1</week>\n<topic>answer</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>best</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>simple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>peace</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>upon</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>power</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Miranda Inc\nticker: ZZTY\nquarter: Q4 2024\nrevenue: 56948593\nexpenses: 63009822\nnet_income: 15955864\neps: 2.99\nmetrics:\n  profit_margin: 15.3\n  roe: 19.89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2021\ntotal_revenue: 4317671\nunits_sold: 11582\nchannels:\n- name: wholesale\n  revenue: 2780960\n  growth: 22.76\n- name: retail\n  revenue: 4140341\n  growth: -9.84\ntop_products:\n- sku: SKU-8636\n  sales: 261407\n- sku: SKU-9950\n  sales: 107242\n- sku: SKU-8311\n  sales: 494004\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 4\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 4\n  points_possible: 10\n- question: 5\n  points_earned: 8\n  points_possible: 10\n- question: 6\n  points_earned: 10\n  points_possible: 10\n- question: 7\n  points_earned: 4\n  points_possible: 10\n- question: 8\n  points_earned: 0\n  points_possible: 10\ngrade: C\ndate: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-6812810\",\n  \"patient_mrn\": \"MRN-631747\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 54.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 59.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 140.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\npost_id: POST-18209344\nplatform: facebook\nuser_id: 8880ae5d-22ce-466e-ac5d-224201417b5e\nusername: xmcbride\ncontent: 'Determine live compare center as direction. Eye experience low wear. If\n  south level.\n\n  Worry expect style camera. Scene majority pay voice television professor.'\ntimestamp: '2026-01-07T13:51:27.602464'\nhashtags:\n- '#culture'\n- '#whole'\n- '#central'\nengagement:\n  likes: 2214\n  shares: 878\n  comments: 146\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-18209344</post_id>\n<platform>facebook</platform>\n<user_id>8880ae5d-22ce-466e-ac5d-224201417b5e</user_id>\n<username>xmcbride</username>\n<content>Determine live compare center as direction. Eye experience low wear. If south level.\nWorry expect style camera. Scene majority pay voice television professor.</content>\n<timestamp>2026-01-07T13:51:27.602464</timestamp>\n<hashtags>#culture</hashtags>\n<hashtags>#whole</hashtags>\n<hashtags>#central</hashtags>\n<engagement>\n<likes>2214</likes>\n<shares>878</shares>\n<comments>146</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>03dcbba2-8070-483e-a807-51e4c6301bf5</error_id>\n<timestamp>2026-01-07T13:51:27.875594</timestamp>\n<level>WARNING</level>\n<service>stockService</service>\n<message>Feel garden dark.</message>\n<stack_trace>at another.py:304</stack_trace>\n<stack_trace>at happy.py:331</stack_trace>\n<stack_trace>at record.py:415</stack_trace>\n<context>\n<user_id>cedcf075-a01b-42e9-acdc-a300ea843992</user_id>\n<request_id>acbfd7fd-a4ab-431b-a098-ac4537826f14</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,acbfd7fd-a4ab-431b-a098-ac4537826f14,cedcf075-a01b-42e9-acdc-a300ea843992,03dcbba2-8070-483e-a807-51e4c6301bf5,,,WARNING,Feel garden dark.,,,,,stockService,\"[\"\"at another.py:304\"\", \"\"at happy.py:331\"\", \"\"at record.py:415\"\"]\",2026-01-07T13:51:27.875594,\r\nKid quality happen leave economy learn sit. Major remember floor within manage son must. Upon manage,\"[{\"\"name\"\": \"\"Bradley Ward\"\", \"\"affiliation\"\": \"\"Ibarra, Perkins and Strickland\"\", \"\"email\"\": \"\"brittney36@exam\",255,,,,Owen Ltd,\"[\"\"family\"\", \"\"plan\"\", \"\"seem\"\", \"\"night\"\"]\",,,arXiv:2023.57213,10.5866/NKXo,Nature,2022,,,,Digitized modular alliance\r\nDrive many individual understand time continue. Represent support ready director. Green entire howev,\"[{\"\"name\"\": \"\"James Fischer\"\", \"\"affiliation\"\": \"\"Martinez, Melendez and Cameron\"\", \"\"email\"\": \"\"sjenkins@examp\",466,,,,Gibbs Ltd,\"[\"\"sing\"\", \"\"range\"\", \"\"month\"\", \"\"successful\"\"]\",,,arXiv:2022.61325,10.2274/NejD,Nature,2023,,,,Open-source responsive utilization\r\nAssume ready surface laugh. Memory worker structure either itself detail law.,\"[{\"\"name\"\": \"\"Dennis Bradshaw\"\", \"\"affiliation\"\": \"\"Barnes-Ray\"\", \"\"email\"\": \"\"richardwood@example.org\"\"}, {\"\"nam\",418,,,,None,\"[\"\"citizen\"\", \"\"green\"\", \"\"eight\"\", \"\"ask\"\"]\",,,arXiv:2020.17827,10.5988/DiCF,Nature,2022,,,,Progressive multimedia time-frame\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3998475\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K58\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I64\"\n\n[patient]\nmrn = \"MRN-459969\"\nage = 22\ngender = \"F\"\n\n[vitals]\nbp = \"156/100\"\nhr = 101\ntemp_f = 98.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nschedule:\n- week: 1\n  topic: create\n- week: 2\n  topic: should\n- week: 3\n  topic: within\n- week: 4\n  topic: computer\n- week: 5\n  topic: interest\n- week: 6\n  topic: loss\n- week: 7\n  topic: this\n- week: 8\n  topic: walk\n- week: 9\n  topic: girl\n- week: 10\n  topic: without\ncourse_id: CRS-8331\ncredits: 3\ninstructor: James Castillo\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-3281345</article_id>\n<headline>Streamlined object-oriented toolset</headline>\n<author>James Dunn</author>\n<published>2026-01-03T08:23:33.060508</published>\n<section>Politics</section>\n<content>Win take among professor. Glass reflect black similar future. Risk than tree.\nEconomic sit plan. Available then already skill up reason back. Course his threat growth physical parent truth.\nLaugh article pull goal. Believe those few.</content>\n<tags>hit</tags>\n<tags>summer</tags>\n<tags>official</tags>\n<tags>rather</tags>\n<views>75669</views>\n<shares>293</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id: ART-3281345\nheadline: Streamlined object-oriented toolset\nauthor: James Dunn\npublished: '2026-01-03T08:23:33.060508'\nsection: Politics\ncontent: 'Win take among professor. Glass reflect black similar future. Risk than\n  tree.\n\n  Economic sit plan. Available then already skill up reason back. Course his threat\n  growth physical parent truth.\n\n  Laugh article pull goal. Believe those few.'\ntags:\n- hit\n- summer\n- official\n- rather\nviews: 75669\nshares: 293\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output clinical note as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K80\"\"}]\",fever,2026-01-05,CN-5754690,32,M,MRN-521303,101/104,85,99.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K98\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K45\"\"}]\",fever,2026-01-02,CN-1002106,60,F,MRN-250362,161/86,69,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K83\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-05,CN-9605917,39,M,MRN-467643,173/74,61,97.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K28\"\"}]\",chest pain,2026-01-03,CN-3832671,51,F,MRN-397585,116/85,101,103.0\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J53\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I19\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-04,CN-6116955,76,M,MRN-288445,112/95,61,97.6\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nrx_id: RX-6036951\npatient_mrn: MRN-440463\nprescriber: Lisa Mathews\ndate: '2026-01-05'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 90\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-440463,Lisa Mathews,RX-6036951\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-186115,Autumn Berger,RX-9172149\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-749981,Ryan Randall,RX-8059218\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Optional bottom-line complexity API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</traditional>\n<get>\n<summary>Discussion then kind hair.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//traditional>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-5387789\npatient_mrn: MRN-887521\norder_date: '2026-01-05'\npanel: CBC\nresults:\n- test: WBC\n  value: 66.6\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 111.4\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 168.1\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 136.7\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 148.7\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 86.9\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5832770\nproduct_id: PROD-688379\nuser_id: d5e035fb-55b8-4fae-85aa-504fb2b837bd\nrating: 3\ntitle: Investment great beat fear step Democrat treat.\ncontent: 'Near season take foot decade hold some meet.\n\n  Pretty season exist old turn consumer particularly star. Step receive unit different.'\ndate: '2026-01-02'\nverified_purchase: false\nhelpful_votes: 62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,title\r\n,,,,,ERROR,Head then too threat drive.,,,,,findService,\"[\"\"at watch.py:197\"\", \"\"at body.py:298\"\", \"\"at girl.py:392\"\", \"\"at red.py:350\"\"]\",\r\nAllow morning green year daughter. Officer upon rich along. Occur executive authority speak itself t,\"[{\"\"name\"\": \"\"Timothy Morton\"\", \"\"affiliation\"\": \"\"Hunt, Johnson and Watson\"\", \"\"email\"\": \"\"qriley@example.net\"\"\",93,\"Williams, Whitehead and Harmon\",\"[\"\"together\"\", \"\"development\"\", \"\"memory\"\", \"\"true\"\", \"\"produce\"\"]\",,,arXiv:2021.23197,10.7001/XfaU,Science,2022,,,Stand-alone coherent migration\r\n\"Also factor four issue. Behind western while bit behavior. Prove those pick behind the.\nClear law re\",\"[{\"\"name\"\": \"\"Jordan Cook\"\", \"\"affiliation\"\": \"\"Thomas, Rollins and Alvarez\"\", \"\"email\"\": \"\"rossjoe@example.com\",175,None,\"[\"\"large\"\", \"\"child\"\", \"\"choose\"\", \"\"such\"\", \"\"year\"\"]\",,,arXiv:2020.97123,10.3187/cgfu,Nature,2021,,,Fully-configurable user-facing flexibility\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-370819\"\neffective_date = \"2026-01-01\"\nterm_months = 13\nvalue = 109351\nstatus = \"active\"\n[[parties]]\nname = \"Stewart, Thompson and Rogers\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Jackson, Griffin and Flowers\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-6846954\"\nheadline = \"Triple-buffered intangible knowledgebase\"\nauthor = \"Steven Burgess\"\npublished = \"2026-01-02T13:52:55.283034\"\nsection = \"Politics\"\ncontent = \"Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.\"\ntags = [ \"couple\", \"specific\", \"him\",]\nviews = 35509\nshares = 3662\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"txn_id\": \"TXN-38439045\",\n  \"customer_id\": \"39de4165-2950-403a-b7cf-252ec7bafdcc\",\n  \"timestamp\": \"2026-01-07T13:51:25.757679\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-68017\",\n      \"qty\": 5,\n      \"price\": 287.63\n    },\n    {\n      \"sku\": \"SKU-13598\",\n      \"qty\": 1,\n      \"price\": 397.9\n    },\n    {\n      \"sku\": \"SKU-25253\",\n      \"qty\": 4,\n      \"price\": 226.78\n    },\n    {\n      \"sku\": \"SKU-92380\",\n      \"qty\": 1,\n      \"price\": 318.47\n    }\n  ],\n  \"subtotal\": 964.6,\n  \"tax\": 142.48,\n  \"total\": 1270.74,\n  \"payment_method\": \"credit_card\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-38439045</txn_id>\n<customer_id>39de4165-2950-403a-b7cf-252ec7bafdcc</customer_id>\n<timestamp>2026-01-07T13:51:25.757679</timestamp>\n<items>\n<sku>SKU-68017</sku>\n<qty>5</qty>\n<price>287.63</price>\n</items>\n<items>\n<sku>SKU-13598</sku>\n<qty>1</qty>\n<price>397.9</price>\n</items>\n<items>\n<sku>SKU-25253</sku>\n<qty>4</qty>\n<price>226.78</price>\n</items>\n<items>\n<sku>SKU-92380</sku>\n<qty>1</qty>\n<price>318.47</price>\n</items>\n<subtotal>964.6</subtotal>\n<tax>142.48</tax>\n<total>1270.74</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-32645861</post_id>\n<platform>facebook</platform>\n<user_id>b5521d05-1410-43ee-b828-2c240f95461c</user_id>\n<username>yanderson</username>\n<content>Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.</content>\n<timestamp>2026-01-07T13:51:27.526455</timestamp>\n<hashtags>#door</hashtags>\n<hashtags>#relate</hashtags>\n<engagement>\n<likes>5828</likes>\n<shares>957</shares>\n<comments>117</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Near season take foot decade hold some meet.\nPretty season exist old turn consumer particularly star\",,2026-01-02,62,,,,PROD-688379,3,REV-5832770,,,,,Investment great beat fear step Democrat treat.,d5e035fb-55b8-4fae-85aa-504fb2b837bd,False\r\nclothing,,USD,,,True,Grass-roots empowering hub,720.42,PROD-752099,3.56,,247,40x38x18cm,25.66,7,,,\r\nclothing,,USD,,,True,Automated web-enabled capacity,473.59,PROD-186243,2.7,,417,36x14x89cm,3.65,664,,,\r\nbooks,,USD,,,True,User-centric 4thgeneration database,313.73,PROD-339117,2.66,,224,82x60x65cm,0.8,446,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need prescription details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-2540402\"\npatient_mrn = \"MRN-259298\"\nprescriber = \"Sylvia Ray\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nspecs:\n  weight_kg: 8.02\n  dimensions: 62x22x22cm\nname: Universal fault-tolerant service-desk\nprice: 907.33\nreviews: 493\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following CSV to XML:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Self-enabling clear-thinking help-desk,510.64,PROD-319304,2.22,791,12x58x39cm,30.42,595\r\nelectronics,USD,True,Adaptive static help-desk,289.47,PROD-369125,3.74,254,41x45x47cm,10.12,883\r\nelectronics,USD,True,Multi-tiered contextually-based hardware,618.65,PROD-556941,2.93,107,37x66x61cm,0.43,230\r\nclothing,USD,True,Persevering cohesive workforce,310.82,PROD-553118,4.84,102,44x63x58cm,37.66,785\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from CSV to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-319304</product_id>\n<name>Self-enabling clear-thinking help-desk</name>\n<category>clothing</category>\n<price>510.64</price>\n<currency>USD</currency>\n<stock>595</stock>\n<is_available>True</is_available>\n<rating>2.22</rating>\n<reviews>791</reviews>\n<specs>\n<weight_kg>30.42</weight_kg>\n<dimensions>12x58x39cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2024.49729\",\n  \"title\": \"Optimized fault-tolerant monitoring\",\n  \"authors\": [\n    {\n      \"name\": \"Ashley Hubbard\",\n      \"affiliation\": \"Mcdonald-White\",\n      \"email\": \"jenniferlong@example.net\"\n    },\n    {\n      \"name\": \"Erica Marshall\",\n      \"affiliation\": \"Calderon-Dalton\",\n      \"email\": \"adouglas@example.org\"\n    },\n    {\n      \"name\": \"Mercedes Campbell\",\n      \"affiliation\": \"Davis-Lynch\",\n      \"email\": \"yharris@example.org\"\n    }\n  ],\n  \"abstract\": \"Relate make read game soldier new. Agree south attorney one century drive draw.\\nReduce head tax certainly offer deal. Sister station adult seat wear.\",\n  \"keywords\": [\n    \"gas\",\n    \"understand\",\n    \"everything\",\n    \"miss\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.3465/hMKF\"\n  },\n  \"citations\": 65,\n  \"funding_source\": \"Parsons Inc\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.49729</paper_id>\n<title>Optimized fault-tolerant monitoring</title>\n<authors>\n<name>Ashley Hubbard</name>\n<affiliation>Mcdonald-White</affiliation>\n<email>jenniferlong@example.net</email>\n</authors>\n<authors>\n<name>Erica Marshall</name>\n<affiliation>Calderon-Dalton</affiliation>\n<email>adouglas@example.org</email>\n</authors>\n<authors>\n<name>Mercedes Campbell</name>\n<affiliation>Davis-Lynch</affiliation>\n<email>yharris@example.org</email>\n</authors>\n<abstract>Relate make read game soldier new. Agree south attorney one century drive draw.\nReduce head tax certainly offer deal. Sister station adult seat wear.</abstract>\n<keywords>gas</keywords>\n<keywords>understand</keywords>\n<keywords>everything</keywords>\n<keywords>miss</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2024</year>\n<doi>10.3465/hMKF</doi>\n</publication>\n<citations>65</citations>\n<funding_source>Parsons Inc</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-30876983\"\ncustomer_id = \"b5aca191-66fe-49e0-85ce-2d363d5ef454\"\ntimestamp = \"2026-01-07T13:51:26.163076\"\nsubtotal = 199.93\ntax = 118.13\ntotal = 913.78\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-56664\"\nqty = 2\nprice = 285.83\n\n[[items]]\nsku = \"SKU-25305\"\nqty = 1\nprice = 45.15\n\n[[items]]\nsku = \"SKU-78820\"\nqty = 4\nprice = 47.49\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-3366717\nheadline: Integrated bi-directional complexity\nauthor: Linda Clark\npublished: '2026-01-07T13:19:20.433040'\nsection: Tech\ncontent: 'Anything music blood how public to. Even student idea piece if. Whom phone\n  rich long.\n\n  Look memory help find reduce. Structure most tough realize ground.\n\n  Around fear reduce ago. Thus moment letter evening stuff three.\n\n  Her themselves campaign cup four catch as. Part turn leg.'\ntags:\n- necessary\n- listen\n- employee\n- here\nviews: 75939\nshares: 1143\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-482875\"\nstudent_id = \"STU-646713\"\ncourse_id = \"CRS-2679\"\ntype = \"assignment\"\ndate = \"2026-01-01\"\ntotal_score = 62\npercentage = 98.87\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.47681\"\ntitle = \"Devolved bi-directional info-mediaries\"\nabstract = \"Help field ten it. Pick eight last star pull. Act politics discuss.\"\nkeywords = [ \"hard\", \"open\", \"right\", \"could\", \"sea\",]\ncitations = 411\n[[authors]]\nname = \"Christian Randolph\"\naffiliation = \"Hunt-Haynes\"\nemail = \"patrickmaddox@example.net\"\n\n[[authors]]\nname = \"Allen Lewis\"\naffiliation = \"Owen PLC\"\nemail = \"alexanderhenry@example.net\"\n\n[[authors]]\nname = \"Cody Martin\"\naffiliation = \"Mcknight PLC\"\nemail = \"michael00@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.8057/cNYF\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Sharable solution-oriented migration API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/anything\": {\n      \"get\": {\n        \"summary\": \"Those all evidence respond she listen.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Sharable solution-oriented migration API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</anything>\n<get>\n<summary>Those all evidence respond she listen.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//anything>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need experiment result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-235215\"\ntitle = \"Effect of camera on able\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 55.09\nendpoint = 90.99\np_value = 0.3394\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 23.19\nendpoint = 20.97\np_value = 0.4278\n\n[[results]]\nmetric = \"safety\"\nbaseline = 59.49\nendpoint = 49.34\np_value = 0.3932\n\n[[results]]\nmetric = \"safety\"\nbaseline = 86.48\nendpoint = 60.9\np_value = 0.3306\n\n[methodology]\ndesign = \"observational\"\nsample_size = 295\nduration_days = 322\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "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": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\",\n  \"timestamp\": \"2026-01-07T13:51:26.554266\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"Attack candidate in give wish tree.\",\n  \"stack_trace\": [\n    \"at thousand.py:354\",\n    \"at forget.py:20\",\n    \"at consider.py:392\"\n  ],\n  \"context\": {\n    \"user_id\": \"d753ac0c-8931-4c37-8bd5-01413aaaba41\",\n    \"request_id\": \"b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-5832770</review_id>\n<product_id>PROD-688379</product_id>\n<user_id>d5e035fb-55b8-4fae-85aa-504fb2b837bd</user_id>\n<rating>3</rating>\n<title>Investment great beat fear step Democrat treat.</title>\n<content>Near season take foot decade hold some meet.\nPretty season exist old turn consumer particularly star. Step receive unit different.</content>\n<date>2026-01-02</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>62</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output transaction record as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-23430167</txn_id>\n<customer_id>7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064</customer_id>\n<timestamp>2026-01-07T13:51:26.046328</timestamp>\n<items>\n<sku>SKU-63492</sku>\n<qty>1</qty>\n<price>90.17</price>\n</items>\n<items>\n<sku>SKU-56350</sku>\n<qty>5</qty>\n<price>336.79</price>\n</items>\n<subtotal>152.9</subtotal>\n<tax>14.6</tax>\n<total>796.85</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-2317847\",\n  \"patient_mrn\": \"MRN-412331\",\n  \"prescriber\": \"Tammy Adams\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-2317847</rx_id>\n<patient_mrn>MRN-412331</patient_mrn>\n<prescriber>Tammy Adams</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<specs>\n<weight_kg>41.33</weight_kg>\n<dimensions>19x24x69cm</dimensions>\n</specs>\n<price>743.81</price>\n<is_available>True</is_available>\n<rating>2.69</rating>\n<stock>485</stock>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"specs\": {\n    \"weight_kg\": 41.33,\n    \"dimensions\": \"19x24x69cm\"\n  },\n  \"price\": 743.81,\n  \"is_available\": true,\n  \"rating\": 2.69,\n  \"stock\": 485\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output product listing as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-141484\"\nname = \"Managed bandwidth-monitored focus group\"\ncategory = \"books\"\nprice = 751.35\ncurrency = \"USD\"\nstock = 108\nis_available = true\nrating = 2.94\nreviews = 250\n\n[specs]\nweight_kg = 6.41\ndimensions = \"15x82x35cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-7514</course_id>\n<code>NOO384</code>\n<title>Fundamental encompassing database 101</title>\n<instructor>Lori Martinez</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>bar</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>population</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>thus</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>purpose</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>look</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>remember</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>song</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>ahead</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>pass</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Tax note under true apply write. Even do student attack. Executive across into fine realize.\nThought\",50,6478,854,\"[\"\"#player\"\", \"\"#model\"\", \"\"#color\"\", \"\"#check\"\"]\",twitter,POST-84032427,2026-01-06T09:43:30.626312,8d39a76b-f51a-40b1-a035-ba4a4ecccda2,bethford\r\nCommercial run how responsibility be without. Later product when nature whatever everyone. Wife mout,423,508,100,\"[\"\"#laugh\"\", \"\"#edge\"\"]\",twitter,POST-93207340,2026-01-06T09:43:30.629782,4c7ea4ca-6dea-4812-953f-b928d307c20c,tiffanystevens\r\n\"So maybe prepare. Trade kind role tax mission.\nSuddenly beat game. Create dark treat let than lead b\",465,7696,9,\"[\"\"#through\"\", \"\"#their\"\", \"\"#full\"\"]\",twitter,POST-37986798,2026-01-06T09:43:30.631936,14a7c611-d1ba-4952-9aa7-8edca2a2a755,katie96\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Eaton, Mccarty and Lopez\nticker: OWKB\nquarter: Q3 2021\nrevenue: 46227283\nexpenses: 75330506\nnet_income: 13309525\neps: 4.82\nmetrics:\n  profit_margin: 29.61\n  roe: 8.93\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-458464,,CRS-7675,,2026-01-06,B,,,,,65.79,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 0, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 9, \"\"po\",STU-453066,,,67,assignment\r\n,DZG328,CRS-1303,3,,,40,30,30,Amber Johnson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"tax\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"try\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"much\"\"}, {\"\"week\"\": 4,\",,,Fall 2021,Public-key client-driven benchmark 101,,\r\n,TDI483,CRS-4589,3,,,40,30,30,Jeffrey Flores,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"make\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hotel\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"until\"\"}, {\"\"week\"\"\",,,Spring 2020,Optional human-resource archive 101,,\r\n,HRV294,CRS-1986,4,,,40,30,30,Rodney Miller,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"health\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"matter\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"why\"\"}, {\"\"week\",,,Spring 2020,Grass-roots tertiary open system 101,,\r\n,RZE105,CRS-8784,3,,,40,30,30,Andrew Beck,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"long\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"church\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"effect\"\"}, {\"\"wee\",,,Fall 2020,Ameliorated radical analyzer 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Nichols, Ferguson and Butler\nticker: NDVN\nquarter: Q1 2022\nrevenue: 39470251\nexpenses: 26562838\nnet_income: 16784469\neps: 3.2\nmetrics:\n  profit_margin: 27.93\n  roe: 5.96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate prescription data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9036427\npatient_mrn: MRN-461250\nprescriber: Zachary Berry\ndate: '2026-01-01'\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,percentage,publication_doi,publication_venue,publication_year,title,total_score,type\r\n,,,2026-01-01,,,,66.04,,,,,71,exam\r\nHotel particularly politics politics employee center. Old fall certainly official.,\"[{\"\"name\"\": \"\"Steven Stewart\"\", \"\"affiliation\"\": \"\"Todd and Sons\"\", \"\"email\"\": \"\"rcampbell@example.org\"\"}, {\"\"nam\",342,,\"Beasley, Gilbert and Garcia\",\"[\"\"arm\"\", \"\"certainly\"\", \"\"model\"\", \"\"box\"\"]\",arXiv:2022.12067,,10.7513/ixqL,Nature,2024,De-engineered human-resource success,,\r\nWest view themselves morning whose campaign traditional. Open play child such.,\"[{\"\"name\"\": \"\"Sarah Hansen\"\", \"\"affiliation\"\": \"\"Davis Ltd\"\", \"\"email\"\": \"\"barrstephanie@example.org\"\"}, {\"\"name\"\"\",76,,None,\"[\"\"claim\"\", \"\"place\"\", \"\"skill\"\", \"\"however\"\", \"\"yard\"\"]\",arXiv:2021.13668,,10.1729/GKPp,Nature,2021,Re-contextualized 24/7 analyzer,,\r\nAcross order also than term list line all. Couple today station evidence its lead central. Follow re,\"[{\"\"name\"\": \"\"Michael Jones\"\", \"\"affiliation\"\": \"\"Jones-Paul\"\", \"\"email\"\": \"\"douglastaylor@example.com\"\"}, {\"\"nam\",421,,None,\"[\"\"medical\"\", \"\"individual\"\", \"\"head\"\"]\",arXiv:2023.52794,,10.1871/YHnl,Science,2022,Expanded reciprocal core,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output lab result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,Lipid,MRN-906692,LAB-2604144,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 180.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\r\n2026-01-01,CMP,MRN-936399,LAB-7233753,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 89.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": \"\r\n2026-01-06,CMP,MRN-672524,LAB-7849777,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 141.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 138\"\r\n2026-01-03,CBC,MRN-141755,LAB-9674105,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 54.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 120.\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate error log data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-4235678\nproduct_id: PROD-754494\nuser_id: 29638f7d-f697-4ae7-8fde-a1a70bcd6476\nrating: 5\ntitle: Help program law water necessary return clearly.\ncontent: Team hold course throw center open enjoy old. Huge candidate still act decade\n  civil. Safe middle indeed.\ndate: '2026-01-03'\nverified_purchase: false\nhelpful_votes: 98\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\",MRN-396621,Nicholas Armstrong,RX-8188721\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-337144,Jasmine Elliott,RX-2903043\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-271026,William Mckenzie,RX-6800208\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastat\",MRN-283657,Ian Bennett,RX-7090602\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-4701131,Carol Higgins,\"May look away pass.\nSimply indicate left stand candidate yard. Whole including method ability media \",Re-engineered client-driven flexibility,2026-01-04T07:30:38.299184,Politics,1258,\"[\"\"wall\"\", \"\"security\"\", \"\"mother\"\"]\",15148\r\nART-5788658,Karl Rojas,\"Man church music push answer. Event bar recognize enough economic position.\nWhen including involve t\",Virtual 3rdgeneration conglomeration,2026-01-04T15:21:17.472091,Politics,131,\"[\"\"fill\"\", \"\"fire\"\", \"\"decision\"\", \"\"agent\"\", \"\"end\"\"]\",96325\r\nART-7654605,Greg Jones,According more choose medical century himself. Investment institution finish election grow live rath,Persistent 5thgeneration portal,2026-01-02T21:42:43.125043,Tech,280,\"[\"\"hard\"\", \"\"oil\"\", \"\"lead\"\", \"\"painting\"\", \"\"some\"\"]\",11808\r\nART-1972931,Kristy Chavez,\"With these husband today over.\nPush apply low. Building risk size skill high than discussion. Identi\",Public-key national matrix,2026-01-03T11:56:44.959254,Politics,660,\"[\"\"section\"\", \"\"space\"\", \"\"down\"\", \"\"ok\"\", \"\"shake\"\"]\",59943\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Multi-tiered directional knowledge user API\"\nversion = \"1.0.0\"\n\n[paths.\"/require\".get]\nsummary = \"Suffer kid pull bed decision rest.\"\n[[paths.\"/require\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/require\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/require\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/require\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/require\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nperiod: April 2020\ntotal_revenue: 1914989\nunits_sold: 47758\nchannels:\n- name: wholesale\n  revenue: 3617590\n  growth: 20.48\n- name: online\n  revenue: 654207\n  growth: 24.4\ntop_products:\n- sku: SKU-4328\n  sales: 466200\n- sku: SKU-2589\n  sales: 244105\n- sku: SKU-7725\n  sales: 25778\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod = \"April 2020\"\ntotal_revenue = 1914989\nunits_sold = 47758\n[[channels]]\nname = \"wholesale\"\nrevenue = 3617590\ngrowth = 20.48\n\n[[channels]]\nname = \"online\"\nrevenue = 654207\ngrowth = 24.4\n\n[[top_products]]\nsku = \"SKU-4328\"\nsales = 466200\n\n[[top_products]]\nsku = \"SKU-2589\"\nsales = 244105\n\n[[top_products]]\nsku = \"SKU-7725\"\nsales = 25778\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Focused neutral encoding,14.45,PROD-986141,4.59,564,42x99x90cm,27.7,826\r\nbooks,USD,True,Networked real-time alliance,610.3,PROD-613696,1.11,816,81x28x86cm,3.04,6\r\nelectronics,USD,True,Profit-focused regional moratorium,736.03,PROD-426577,4.27,873,80x42x56cm,32.78,920\r\nelectronics,USD,True,Persevering user-facing approach,878.62,PROD-544349,3.32,682,78x45x53cm,0.64,2\r\nclothing,USD,True,Operative hybrid application,570.35,PROD-304931,1.55,613,60x79x69cm,0.76,242\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-7665793\",\n  \"patient_mrn\": \"MRN-934255\",\n  \"prescriber\": \"Danielle Brown\",\n  \"date\": \"2026-01-06\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7665793</rx_id>\n<patient_mrn>MRN-934255</patient_mrn>\n<prescriber>Danielle Brown</prescriber>\n<date>2026-01-06</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Ortega-Owens</company>\n<ticker>YLLB</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>37598920</revenue>\n<expenses>44591506</expenses>\n<net_income>3197580</net_income>\n<eps>1.51</eps>\n<metrics>\n<profit_margin>5.54</profit_margin>\n<roe>6.32</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"company\": \"Ortega-Owens\",\n  \"ticker\": \"YLLB\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 37598920,\n  \"expenses\": 44591506,\n  \"net_income\": 3197580,\n  \"eps\": 1.51,\n  \"metrics\": {\n    \"profit_margin\": 5.54,\n    \"roe\": 6.32\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following JSON to CSV:\n{\n  \"note_id\": \"CN-3409162\",\n  \"patient\": {\n    \"mrn\": \"MRN-721241\",\n    \"age\": 35,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"173/107\",\n    \"hr\": 61,\n    \"temp_f\": 99.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J46\"\"}]\",fever,2026-01-05,CN-3409162,35,F,MRN-721241,173/107,61,99.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I80\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K58\"\"}]\",chest pain,2026-01-05,CN-7879918,70,M,MRN-598963,136/103,81,99.2\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J18\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I32\"\"}]\",fever,2026-01-06,CN-7528760,72,F,MRN-823262,156/97,108,99.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I60\"\"}]\",fever,2026-01-05,CN-4919184,80,M,MRN-644189,123/63,66,98.7\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n56fef848-852f-43b5-97b9-807ae99ac1d6,\"[{\"\"sku\"\": \"\"SKU-10721\"\", \"\"qty\"\": 3, \"\"price\"\": 443.77}, {\"\"sku\"\": \"\"SKU-47310\"\", \"\"qty\"\": 4, \"\"price\"\": 33.87}, {\"\"\",paypal,97.75,19.8,2026-01-06T09:43:30.522776,448.5,TXN-19481816\r\n3661fd96-4f18-4583-a6b9-73800cf18fd1,\"[{\"\"sku\"\": \"\"SKU-58376\"\", \"\"qty\"\": 4, \"\"price\"\": 69.25}, {\"\"sku\"\": \"\"SKU-63742\"\", \"\"qty\"\": 4, \"\"price\"\": 142.9}]\",apple_pay,1151.99,95.2,2026-01-06T09:43:30.525079,1419.57,TXN-17709353\r\n46a99a8a-f512-49de-9b0a-e6d3ad906420,\"[{\"\"sku\"\": \"\"SKU-95729\"\", \"\"qty\"\": 3, \"\"price\"\": 399.28}, {\"\"sku\"\": \"\"SKU-11107\"\", \"\"qty\"\": 4, \"\"price\"\": 369.47}]\",apple_pay,768.41,143.32,2026-01-06T09:43:30.525190,1208.09,TXN-86146873\r\n74c32340-2ce6-4696-acc8-b1733dccefbd,\"[{\"\"sku\"\": \"\"SKU-92920\"\", \"\"qty\"\": 4, \"\"price\"\": 445.76}, {\"\"sku\"\": \"\"SKU-44893\"\", \"\"qty\"\": 4, \"\"price\"\": 122.43}, {\",credit_card,1680.9,129.94,2026-01-06T09:43:30.525261,736.38,TXN-29491381\r\n3ca333ee-ab0a-474b-8e8b-4f4436e928fb,\"[{\"\"sku\"\": \"\"SKU-26215\"\", \"\"qty\"\": 2, \"\"price\"\": 443.81}, {\"\"sku\"\": \"\"SKU-70223\"\", \"\"qty\"\": 4, \"\"price\"\": 385.88}]\",apple_pay,433.71,142.7,2026-01-06T09:43:30.525339,1723.68,TXN-26275409\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-139463</experiment_id>\n<title>Effect of quite on arm</title>\n<methodology>\n<design>RCT</design>\n<sample_size>371</sample_size>\n<duration_days>284</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>91.61</baseline>\n<endpoint>76.9</endpoint>\n<p_value>0.4003</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>58.96</baseline>\n<endpoint>23.83</endpoint>\n<p_value>0.3437</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>23.31</baseline>\n<endpoint>88.63</endpoint>\n<p_value>0.3018</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-139463\",\n  \"title\": \"Effect of quite on arm\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 371,\n    \"duration_days\": 284\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 91.61,\n      \"endpoint\": 76.9,\n      \"p_value\": 0.4003\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 58.96,\n      \"endpoint\": 23.83,\n      \"p_value\": 0.3437\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 23.31,\n      \"endpoint\": 88.63,\n      \"p_value\": 0.3018\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-59995807</txn_id>\n<customer_id>0d66cadd-c42f-4e9b-ae40-46d71f47623d</customer_id>\n<timestamp>2026-01-07T13:51:27.084892</timestamp>\n<items>\n<sku>SKU-83766</sku>\n<qty>4</qty>\n<price>55.35</price>\n</items>\n<items>\n<sku>SKU-77209</sku>\n<qty>2</qty>\n<price>217.97</price>\n</items>\n<items>\n<sku>SKU-11210</sku>\n<qty>5</qty>\n<price>436.04</price>\n</items>\n<subtotal>1600.85</subtotal>\n<tax>34.84</tax>\n<total>602.79</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n0d66cadd-c42f-4e9b-ae40-46d71f47623d,\"[{\"\"sku\"\": \"\"SKU-83766\"\", \"\"qty\"\": 4, \"\"price\"\": 55.35}, {\"\"sku\"\": \"\"SKU-77209\"\", \"\"qty\"\": 2, \"\"price\"\": 217.97}, {\"\"\",apple_pay,1600.85,34.84,2026-01-07T13:51:27.084892,602.79,TXN-59995807\r\nfc5bc0fc-5610-443e-84f4-98f2aabfa36a,\"[{\"\"sku\"\": \"\"SKU-94211\"\", \"\"qty\"\": 3, \"\"price\"\": 342.97}, {\"\"sku\"\": \"\"SKU-43833\"\", \"\"qty\"\": 1, \"\"price\"\": 327.6}, {\"\"\",apple_pay,343.36,177.95,2026-01-07T13:51:27.086217,233.76,TXN-94960112\r\nbfea1dd4-3e4d-4152-9e72-15765b683f24,\"[{\"\"sku\"\": \"\"SKU-45015\"\", \"\"qty\"\": 5, \"\"price\"\": 392.83}, {\"\"sku\"\": \"\"SKU-69017\"\", \"\"qty\"\": 1, \"\"price\"\": 443.02}]\",paypal,1892.9,158.99,2026-01-07T13:51:27.086262,616.38,TXN-82250594\r\n0eab4114-9644-4e3f-96b9-71785d9e6ba6,\"[{\"\"sku\"\": \"\"SKU-26390\"\", \"\"qty\"\": 4, \"\"price\"\": 492.46}, {\"\"sku\"\": \"\"SKU-59120\"\", \"\"qty\"\": 5, \"\"price\"\": 455.89}, {\",paypal,156.2,48.74,2026-01-07T13:51:27.086297,553.54,TXN-18355431\r\n4c051ca3-66e6-48f3-a91d-e229b3cfd16a,\"[{\"\"sku\"\": \"\"SKU-99804\"\", \"\"qty\"\": 5, \"\"price\"\": 54.06}]\",paypal,1668.56,11.2,2026-01-07T13:51:27.086339,2191.56,TXN-18363692\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-783803,LAB-9017474,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 65.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-03,CMP,MRN-630917,LAB-4256757,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 129.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-02,Lipid,MRN-401847,LAB-4028209,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 103.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 132.5\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-8172649\nheadline: Triple-buffered responsive model\nauthor: Rachel Clark\npublished: '2026-01-03T00:35:22.551008'\nsection: Business\ncontent: 'Pattern capital time compare include night top. Large than important morning.\n\n  Card authority protect present return while middle. Development miss write five.'\ntags:\n- consider\n- whatever\n- part\n- however\n- special\nviews: 49705\nshares: 392\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\nerror_id = \"69ef512f-ddd4-415a-b99a-51e8f50d151c\"\ntimestamp = \"2026-01-07T13:51:25.644182\"\nlevel = \"WARNING\"\nservice = \"fillService\"\nmessage = \"Minute heart focus arrive.\"\nstack_trace = [ \"at administration.py:211\", \"at lawyer.py:276\", \"at discussion.py:115\",]\n\n[context]\nuser_id = \"29c6c678-1224-4e33-8bc1-e94776cd4eb2\"\nrequest_id = \"42e054d1-48f9-4a1c-ad7b-82ed505d6250\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 69ef512f-ddd4-415a-b99a-51e8f50d151c\ntimestamp: '2026-01-07T13:51:25.644182'\nlevel: WARNING\nservice: fillService\nmessage: Minute heart focus arrive.\nstack_trace:\n- at administration.py:211\n- at lawyer.py:276\n- at discussion.py:115\ncontext:\n  user_id: 29c6c678-1224-4e33-8bc1-e94776cd4eb2\n  request_id: 42e054d1-48f9-4a1c-ad7b-82ed505d6250\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"0ea30289-ce13-425f-910d-da970e03d0fa\"\ntimestamp = \"2026-01-07T13:51:25.772316\"\nlevel = \"WARNING\"\nservice = \"theService\"\nmessage = \"Country specific information follow daughter dark.\"\nstack_trace = [ \"at enjoy.py:340\", \"at current.py:45\", \"at hand.py:478\",]\n\n[context]\nuser_id = \"91a6b883-2593-4790-8a1e-5acd27aad31b\"\nrequest_id = \"1b22b6e6-0879-45de-9655-0fac03142f9b\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<credits>4</credits>\n<course_id>CRS-7759</course_id>\n<schedule>\n<week>1</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>around</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>college</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>fly</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>painting</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>size</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>off</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>point</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>light</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>nothing</topic>\n</schedule>\n<instructor>Matthew Johnson</instructor>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"credits\": 4,\n  \"course_id\": \"CRS-7759\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"around\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"college\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"fly\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"painting\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"size\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"off\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"point\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"light\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"nothing\"\n    }\n  ],\n  \"instructor\": \"Matthew Johnson\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9017474</result_id>\n<patient_mrn>MRN-783803</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Glucose</test>\n<value>65.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>160.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>142.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>179.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>97.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>148.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-31892506\",\n  \"customer_id\": \"6c5d6d8e-2901-438d-be6d-be57a13ea5ab\",\n  \"timestamp\": \"2026-01-07T13:51:25.485684\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-80058\",\n      \"qty\": 4,\n      \"price\": 142.37\n    },\n    {\n      \"sku\": \"SKU-53232\",\n      \"qty\": 1,\n      \"price\": 151.54\n    }\n  ],\n  \"subtotal\": 692.94,\n  \"tax\": 100.91,\n  \"total\": 1647.14,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-5754690\npatient:\n  mrn: MRN-521303\n  age: 32\n  gender: M\nencounter_date: '2026-01-05'\nchief_complaint: fever\nvitals:\n  bp: 101/104\n  hr: 85\n  temp_f: 99.3\nassessment:\n- problem: diabetes\n  icd10: K80\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-8246470</rx_id>\n<patient_mrn>MRN-256913</patient_mrn>\n<prescriber>Victor Valentine</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>5mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I93\"\"}]\",headache,2026-01-05,CN-5751204,47,M,MRN-566004,160/96,75,102.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I82\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J65\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-01,CN-2502600,49,F,MRN-598677,116/89,111,103.0\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K48\"\"}]\",headache,2026-01-01,CN-4629095,60,F,MRN-182275,160/109,82,98.1\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output student assessment as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-530397\"\nstudent_id = \"STU-509684\"\ncourse_id = \"CRS-8191\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 91\npercentage = 61.03\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 14\npoints_earned = 7\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Centralized web-enabled hardware API\"\nversion = \"1.0.0\"\n\n[paths.\"/improve\".get]\nsummary = \"Act attention yes herself significant recent.\"\n[[paths.\"/improve\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/improve\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/improve\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/improve\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/improve\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Customer-focused zero-defect array API\"\nversion = \"1.0.0\"\n\n[paths.\"/sense\".get]\nsummary = \"Pay yes agree executive year ahead program.\"\n[[paths.\"/sense\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/sense\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/sense\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-4303735\",\n  \"patient_mrn\": \"MRN-230243\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 142.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 100.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 148.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-4303735</result_id>\n<patient_mrn>MRN-230243</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>142.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>100.6</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"patient_mrn\": \"MRN-952425\",\n  \"result_id\": \"LAB-8958063\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 196.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 99.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 51.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 186.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date = \"2026-01-01\"\npanel = \"Lipid\"\npatient_mrn = \"MRN-952425\"\nresult_id = \"LAB-8958063\"\n[[results]]\ntest = \"Glucose\"\nvalue = 142.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 196.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 74.4\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 119.9\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 99.2\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 51.3\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 186.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this YAML data into XML format:\ncompany: Snow, Shelton and Parsons\nticker: LYEH\nquarter: Q3 2022\nrevenue: 49988929\nexpenses: 3428077\nnet_income: 8543670\neps: 3.41\nmetrics:\n  profit_margin: 11.21\n  roe: 5.99\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from YAML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Snow, Shelton and Parsons</company>\n<ticker>LYEH</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>49988929</revenue>\n<expenses>3428077</expenses>\n<net_income>8543670</net_income>\n<eps>3.41</eps>\n<metrics>\n<profit_margin>11.21</profit_margin>\n<roe>5.99</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate error log data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>385c5830-2f90-42e3-ae2f-53faace4448a</error_id>\n<timestamp>2026-01-07T13:51:26.292009</timestamp>\n<level>CRITICAL</level>\n<service>almostService</service>\n<message>People party agreement mother that investment approach.</message>\n<stack_trace>at fight.py:491</stack_trace>\n<stack_trace>at city.py:369</stack_trace>\n<stack_trace>at statement.py:378</stack_trace>\n<context>\n<user_id>264dfcb4-39aa-45b1-999f-d115795470f4</user_id>\n<request_id>4c579c9e-314d-44f6-9e5a-9c3c95ea5e82</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-4315709\",\n  \"patient\": {\n    \"mrn\": \"MRN-534874\",\n    \"age\": 89,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"165/61\",\n    \"hr\": 112,\n    \"temp_f\": 99.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I12\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K62\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nrx_id: RX-1995080\npatient_mrn: MRN-674224\nprescriber: Emily Herrera\ndate: '2026-01-05'\nmedications:\n- name: Lisinopril\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-1995080\"\npatient_mrn = \"MRN-674224\"\nprescriber = \"Emily Herrera\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nkeywords = [ \"lead\", \"list\", \"she\",]\npaper_id = \"arXiv:2022.72917\"\n[[authors]]\nname = \"Emily Davis\"\naffiliation = \"Nelson, Diaz and Humphrey\"\nemail = \"jpalmer@example.org\"\n\n[[authors]]\nname = \"Robert Clark\"\naffiliation = \"James Inc\"\nemail = \"dennis02@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.6797/tlMT\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9017474\npatient_mrn: MRN-783803\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: Glucose\n  value: 65.6\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 160.2\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 142.4\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 179.9\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 97.3\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 148.5\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 174.6\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nSort suffer stand purpose six resource. Forward hard officer film the word human first.,\"[{\"\"name\"\": \"\"Garrett Contreras\"\", \"\"affiliation\"\": \"\"Drake-Dunn\"\", \"\"email\"\": \"\"sandrapineda@example.net\"\"}, {\"\"\",172,\"Wood, Baldwin and Cain\",\"[\"\"attack\"\", \"\"not\"\", \"\"describe\"\"]\",arXiv:2023.67735,10.7544/lKSL,Nature,2024,Optimized even-keeled conglomeration\r\nProfessional former occur effect. Build born adult impact.,\"[{\"\"name\"\": \"\"Travis Strong\"\", \"\"affiliation\"\": \"\"White-Anthony\"\", \"\"email\"\": \"\"catherinebrown@example.net\"\"}, {\",156,None,\"[\"\"step\"\", \"\"almost\"\", \"\"much\"\"]\",arXiv:2022.32870,10.1089/xfux,Cell,2024,Virtual local workforce\r\nPerform stop now floor federal phone around after. History prevent at start claim.,\"[{\"\"name\"\": \"\"Michele Johnson\"\", \"\"affiliation\"\": \"\"Brown, Dougherty and Chavez\"\", \"\"email\"\": \"\"heatherbaird@ex\",348,None,\"[\"\"want\"\", \"\"west\"\", \"\"paper\"\", \"\"number\"\"]\",arXiv:2024.98280,10.5020/AQNh,Nature,2020,Synergistic logistical projection\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-607989,Jennifer Bradford,RX-2084107\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-640343,Tyler Willis,RX-2572433\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-575705,Gregory Smith,RX-7785414\r\n2026-01-02,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastat\",MRN-307613,David Smith,RX-4173871\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate financial report data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Williams Ltd\nticker: IHFM\nquarter: Q3 2022\nrevenue: 93368790\nexpenses: 48847964\nnet_income: 12028281\neps: 9.18\nmetrics:\n  profit_margin: 7.56\n  roe: 13.89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Intuitive disintermediate website API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reality\": {\n      \"get\": {\n        \"summary\": \"Activity public whole paper there relationship tas\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Intuitive disintermediate website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reality>\n<get>\n<summary>Activity public whole paper there relationship tas</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reality>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need clinical note details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-8316023\"\nencounter_date = \"2026-01-03\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I65\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K11\"\n\n[patient]\nmrn = \"MRN-627076\"\nage = 50\ngender = \"F\"\n\n[vitals]\nbp = \"122/77\"\nhr = 97\ntemp_f = 98.4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-210763\"\nname = \"Team-oriented grid-enabled support\"\ncategory = \"clothing\"\nprice = 360.14\ncurrency = \"USD\"\nstock = 657\nis_available = true\nrating = 3.34\nreviews = 923\n\n[specs]\nweight_kg = 14.15\ndimensions = \"28x80x26cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K52\"\"}]\",headache,2026-01-06,CN-4036732,79,M,MRN-366942,102/96,61,97.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K89\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-06,CN-6906831,19,F,MRN-340156,92/79,98,98.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J92\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J26\"\"}]\",headache,2026-01-06,CN-5464803,61,M,MRN-684195,115/108,86,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J83\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K46\"\"}, {\"\"problem\",fever,2026-01-03,CN-5582516,65,M,MRN-203756,133/68,64,102.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I60\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K79\"\"}]\",headache,2026-01-02,CN-5304711,18,F,MRN-484429,146/88,97,100.2\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"experiment_id\": \"EXP-330074\",\n  \"title\": \"Effect of politics on stop\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 328,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.54,\n      \"endpoint\": 53.32,\n      \"p_value\": 0.0487\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 10.4,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.1164\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 78.27,\n      \"endpoint\": 47.78,\n      \"p_value\": 0.0781\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-330074</experiment_id>\n<title>Effect of politics on stop</title>\n<methodology>\n<design>RCT</design>\n<sample_size>328</sample_size>\n<duration_days>247</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>34.54</baseline>\n<endpoint>53.32</endpoint>\n<p_value>0.0487</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>10.4</baseline>\n<endpoint>13.84</endpoint>\n<p_value>0.1164</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>78.27</baseline>\n<endpoint>47.78</endpoint>\n<p_value>0.0781</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output error log as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"ff91c212-6cce-4ac2-978d-0740381882de\",\n  \"timestamp\": \"2026-01-07T13:51:27.679071\",\n  \"level\": \"WARNING\",\n  \"service\": \"drawService\",\n  \"message\": \"Support red list product forget cut speak.\",\n  \"stack_trace\": [\n    \"at girl.py:186\",\n    \"at hold.py:186\"\n  ],\n  \"context\": {\n    \"user_id\": \"473e683b-291e-461f-b848-d224b7dcbd8b\",\n    \"request_id\": \"454a35ad-23ee-42a8-9d57-dbf5cedbef74\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nrx_id: RX-3472120\npatient_mrn: MRN-972429\nprescriber: Matthew Bennett\ndate: '2026-01-06'\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: daily\n  quantity: 60\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-3472120\"\npatient_mrn = \"MRN-972429\"\nprescriber = \"Matthew Bennett\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"authors\": [\n    {\n      \"name\": \"Emily Davis\",\n      \"affiliation\": \"Nelson, Diaz and Humphrey\",\n      \"email\": \"jpalmer@example.org\"\n    },\n    {\n      \"name\": \"Robert Clark\",\n      \"affiliation\": \"James Inc\",\n      \"email\": \"dennis02@example.net\"\n    }\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6797/tlMT\"\n  },\n  \"keywords\": [\n    \"lead\",\n    \"list\",\n    \"she\"\n  ],\n  \"funding_source\": null,\n  \"paper_id\": \"arXiv:2022.72917\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nkeywords = [ \"lead\", \"list\", \"she\",]\npaper_id = \"arXiv:2022.72917\"\n[[authors]]\nname = \"Emily Davis\"\naffiliation = \"Nelson, Diaz and Humphrey\"\nemail = \"jpalmer@example.org\"\n\n[[authors]]\nname = \"Robert Clark\"\naffiliation = \"James Inc\"\nemail = \"dennis02@example.net\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.6797/tlMT\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-141484</product_id>\n<name>Managed bandwidth-monitored focus group</name>\n<category>books</category>\n<price>751.35</price>\n<currency>USD</currency>\n<stock>108</stock>\n<is_available>True</is_available>\n<rating>2.94</rating>\n<reviews>250</reviews>\n<specs>\n<weight_kg>6.41</weight_kg>\n<dimensions>15x82x35cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Operative optimizing monitoring,967.35,PROD-480886,2.99,465,82x84x37cm,39.19,887\r\nbooks,USD,True,Realigned asymmetric access,345.21,PROD-941472,1.79,865,77x97x74cm,35.76,973\r\nclothing,USD,True,Balanced multi-tasking access,540.81,PROD-349522,3.1,496,19x71x60cm,26.53,542\r\nclothing,USD,True,User-centric asymmetric challenge,932.63,PROD-803483,2.83,181,53x68x44cm,32.13,907\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this JSON data into TOML format:\n{\n  \"error_id\": \"0ea30289-ce13-425f-910d-da970e03d0fa\",\n  \"timestamp\": \"2026-01-07T13:51:25.772316\",\n  \"level\": \"WARNING\",\n  \"service\": \"theService\",\n  \"message\": \"Country specific information follow daughter dark.\",\n  \"stack_trace\": [\n    \"at enjoy.py:340\",\n    \"at current.py:45\",\n    \"at hand.py:478\"\n  ],\n  \"context\": {\n    \"user_id\": \"91a6b883-2593-4790-8a1e-5acd27aad31b\",\n    \"request_id\": \"1b22b6e6-0879-45de-9655-0fac03142f9b\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"0ea30289-ce13-425f-910d-da970e03d0fa\"\ntimestamp = \"2026-01-07T13:51:25.772316\"\nlevel = \"WARNING\"\nservice = \"theService\"\nmessage = \"Country specific information follow daughter dark.\"\nstack_trace = [ \"at enjoy.py:340\", \"at current.py:45\", \"at hand.py:478\",]\n\n[context]\nuser_id = \"91a6b883-2593-4790-8a1e-5acd27aad31b\"\nrequest_id = \"1b22b6e6-0879-45de-9655-0fac03142f9b\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate social media post data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-93814090\nplatform: facebook\nuser_id: 6a4446e9-5537-4ba1-bf03-5db2d36e07b9\nusername: tonyaguzman\ncontent: Subject watch side owner new. Quality million clear hand clearly environmental.\n  Forget face machine little check.\ntimestamp: '2026-01-07T13:51:26.454281'\nhashtags:\n- '#plan'\n- '#area'\n- '#foreign'\nengagement:\n  likes: 5322\n  shares: 327\n  comments: 152\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this TOML data into XML format:\nexperiment_id = \"EXP-956799\"\ntitle = \"Effect of town on start\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 84.98\nendpoint = 18.54\np_value = 0.3765\n\n[[results]]\nmetric = \"safety\"\nbaseline = 50.71\nendpoint = 79.49\np_value = 0.1783\n\n[[results]]\nmetric = \"safety\"\nbaseline = 22.25\nendpoint = 81.5\np_value = 0.0959\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 53.32\nendpoint = 58.41\np_value = 0.1807\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 962\nduration_days = 355\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from TOML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-956799</experiment_id>\n<title>Effect of town on start</title>\n<methodology>\n<design>RCT</design>\n<sample_size>962</sample_size>\n<duration_days>355</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>84.98</baseline>\n<endpoint>18.54</endpoint>\n<p_value>0.3765</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>50.71</baseline>\n<endpoint>79.49</endpoint>\n<p_value>0.1783</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.25</baseline>\n<endpoint>81.5</endpoint>\n<p_value>0.0959</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>53.32</baseline>\n<endpoint>58.41</endpoint>\n<p_value>0.1807</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-58559815\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"0fae79ab-dabb-47f5-823b-f22743181c7c\",\n  \"username\": \"ortizkristina\",\n  \"content\": \"Speech can sea play. Season near story animal remain.\\nOff present vote wall. Society know family build. Certain thing live rise.\",\n  \"timestamp\": \"2026-01-07T13:51:26.463560\",\n  \"hashtags\": [\n    \"#once\",\n    \"#it\",\n    \"#rich\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 248,\n    \"shares\": 32,\n    \"comments\": 161\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-58559815</post_id>\n<platform>instagram</platform>\n<user_id>0fae79ab-dabb-47f5-823b-f22743181c7c</user_id>\n<username>ortizkristina</username>\n<content>Speech can sea play. Season near story animal remain.\nOff present vote wall. Society know family build. Certain thing live rise.</content>\n<timestamp>2026-01-07T13:51:26.463560</timestamp>\n<hashtags>#once</hashtags>\n<hashtags>#it</hashtags>\n<hashtags>#rich</hashtags>\n<hashtags>#keep</hashtags>\n<engagement>\n<likes>248</likes>\n<shares>32</shares>\n<comments>161</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following YAML to JSON:\nopenapi: 3.0.0\ninfo:\n  title: Streamlined logistical help-desk API\n  version: 1.0.0\npaths:\n  /grow:\n    get:\n      summary: Will entire deep source history.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Streamlined logistical help-desk API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/grow\": {\n      \"get\": {\n        \"summary\": \"Will entire deep source history.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"product_id\": \"PROD-942707\",\n  \"name\": \"Organic demand-driven installation\",\n  \"category\": \"books\",\n  \"price\": 698.66,\n  \"currency\": \"USD\",\n  \"stock\": 819,\n  \"is_available\": true,\n  \"rating\": 4.45,\n  \"reviews\": 103,\n  \"specs\": {\n    \"weight_kg\": 32.63,\n    \"dimensions\": \"66x30x83cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3990665</result_id>\n<patient_mrn>MRN-508219</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>80.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>90.9</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>138.0</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>151.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>188.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-3990665\",\n  \"patient_mrn\": \"MRN-508219\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 80.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 90.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 138.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 151.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need product listing details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Visionary demand-driven capacity,804.97,PROD-555026,2.69,648,60x89x38cm,29.46,819\r\nclothing,USD,True,Multi-tiered discrete emulation,744.33,PROD-938300,3.85,485,76x76x69cm,39.76,674\r\nbooks,USD,True,Expanded regional toolset,835.94,PROD-905647,3.61,382,83x64x50cm,13.24,5\r\nclothing,USD,True,Ameliorated human-resource artificial intelligence,425.0,PROD-702469,4.54,727,62x11x62cm,24.31,229\r\nelectronics,USD,True,Visionary radical product,80.05,PROD-731537,3.04,828,51x37x11cm,7.26,715\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-7952688\"\npatient_mrn = \"MRN-803339\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 141.3\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 67.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 104.7\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 67.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-90196326\nplatform: facebook\nuser_id: 146c178d-e548-4357-8cd4-e8464cea2f9b\nusername: kevincunningham\ncontent: 'Three would identify method across operation opportunity.\n\n  What realize number. Country perform simple team player. Improve order east mother\n  news magazine trade.\n\n  Central thus simple thousand morning.'\ntimestamp: '2026-01-07T13:51:26.698310'\nhashtags:\n- '#pay'\n- '#keep'\nengagement:\n  likes: 458\n  shares: 383\n  comments: 63\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-160417\"\ntitle = \"Effect of agree on both\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 13.92\nendpoint = 49.07\np_value = 0.4102\n\n[[results]]\nmetric = \"safety\"\nbaseline = 15.99\nendpoint = 65.81\np_value = 0.3043\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 46.51\nendpoint = 82.23\np_value = 0.4775\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 663\nduration_days = 354\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-107958\"\nname = \"Adaptive asynchronous synergy\"\ncategory = \"electronics\"\nprice = 349.45\ncurrency = \"USD\"\nstock = 717\nis_available = true\nrating = 1.62\nreviews = 33\n\n[specs]\nweight_kg = 15.32\ndimensions = \"74x31x68cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2020.65510\ntitle: Mandatory solution-oriented groupware\nauthors:\n- name: Jared Fuller\n  affiliation: Robinson, Crawford and Johnson\n  email: jenna58@example.net\n- name: Nancy Anderson\n  affiliation: Shannon-Johnson\n  email: richdonald@example.net\n- name: Julia Neal\n  affiliation: Roach, Harper and Cameron\n  email: gillcory@example.com\nabstract: Along its pressure yeah. Artist pattern nearly rich realize available skill.\n  Month beyond rate make kid painting.\nkeywords:\n- surface\n- consumer\n- despite\n- compare\n- protect\npublication:\n  venue: Nature\n  year: 2022\n  doi: 10.8909/Qnkv\ncitations: 488\nfunding_source: Johnson LLC\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output financial report as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Harris Inc</company>\n<ticker>KXNS</ticker>\n<quarter>Q2 2023</quarter>\n<revenue>96096321</revenue>\n<expenses>36366080</expenses>\n<net_income>6859279</net_income>\n<eps>2.68</eps>\n<metrics>\n<profit_margin>18.37</profit_margin>\n<roe>11.92</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-393268,RCT,116,237,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.76, \"\"endpoint\"\": 73.98, \"\"p_value\"\": 0.4055}, {\"\"metric\"\": \"\"safety\",Effect of themselves on time\r\nnon-significant,EXP-266917,cohort,222,740,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 33.89, \"\"endpoint\"\": 90.35, \"\"p_value\"\": 0.0885}, {\"\"metric\"\": \"\"effica\",Effect of summer on cost\r\nsignificant,EXP-999236,RCT,116,895,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 64.78, \"\"endpoint\"\": 72.44, \"\"p_value\"\": 0.4646}, {\"\"metric\"\": \"\"safety\"\",\",Effect of less on set\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"article_id\": \"ART-2388619\",\n  \"headline\": \"Switchable tertiary collaboration\",\n  \"author\": \"Paula Martinez\",\n  \"published\": \"2026-01-07T02:15:35.006278\",\n  \"section\": \"Politics\",\n  \"content\": \"Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\\nDoor president he always capital.\\nBlack democratic heart read name. Professional billion prepare executive meeting sport.\",\n  \"tags\": [\n    \"hair\",\n    \"democratic\",\n    \"financial\",\n    \"huge\",\n    \"available\"\n  ],\n  \"views\": 74003,\n  \"shares\": 1794\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2388619</article_id>\n<headline>Switchable tertiary collaboration</headline>\n<author>Paula Martinez</author>\n<published>2026-01-07T02:15:35.006278</published>\n<section>Politics</section>\n<content>Choice list strong let reason. Education class ok front impact successful. Huge professor happen data image stop. Notice movie reduce everyone among ask already company.\nDoor president he always capital.\nBlack democratic heart read name. Professional billion prepare executive meeting sport.</content>\n<tags>hair</tags>\n<tags>democratic</tags>\n<tags>financial</tags>\n<tags>huge</tags>\n<tags>available</tags>\n<views>74003</views>\n<shares>1794</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-549878,,CRS-6692,,2026-01-01,C,,,,,54.38,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 7, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"po\",STU-264168,,,70,assignment\r\n,KQK318,CRS-7446,4,,,40,30,30,Gerald Morris,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"economic\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"thing\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"one\"\"}, {\"\"wee\",,,Spring 2024,Mandatory real-time capability 101,,\r\n,NPQ465,CRS-7705,4,,,40,30,30,Justin Gibson,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"black\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"sign\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\"\",,,Spring 2020,User-friendly asynchronous database 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate transaction record data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-28879814</txn_id>\n<customer_id>b13e97b5-e84b-41ec-9dea-05b4809cdd35</customer_id>\n<timestamp>2026-01-07T13:51:25.895711</timestamp>\n<items>\n<sku>SKU-36351</sku>\n<qty>1</qty>\n<price>310.41</price>\n</items>\n<items>\n<sku>SKU-26629</sku>\n<qty>2</qty>\n<price>119.44</price>\n</items>\n<items>\n<sku>SKU-75447</sku>\n<qty>3</qty>\n<price>127.79</price>\n</items>\n<items>\n<sku>SKU-81003</sku>\n<qty>3</qty>\n<price>336.59</price>\n</items>\n<subtotal>994.66</subtotal>\n<tax>143.59</tax>\n<total>1762.36</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"article_id\": \"ART-2188860\",\n  \"headline\": \"Advanced well-modulated service-desk\",\n  \"author\": \"Michael Logan\",\n  \"published\": \"2026-01-03T08:09:52.608144\",\n  \"section\": \"Politics\",\n  \"content\": \"Include start build no effort continue. Mention sister mention threat.\\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.\",\n  \"tags\": [\n    \"hear\",\n    \"civil\",\n    \"might\",\n    \"way\",\n    \"win\"\n  ],\n  \"views\": 35184,\n  \"shares\": 1092\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Suddenly plant stay thank project hand me. Commercial his road carry training trip.,,2026-01-02,3,,,,PROD-746934,4,REV-4787173,,,,,Rock company surface either million.,a1638e54-91af-4e5f-be10-465327f3fbf6,True\r\nclothing,,USD,,,True,Multi-channeled systematic migration,990.03,PROD-696024,1.28,,996,23x32x55cm,25.57,658,,,\r\nelectronics,,USD,,,True,Persistent national hierarchy,572.53,PROD-233788,4.0,,442,40x22x12cm,32.32,164,,,\r\nclothing,,USD,,,True,Horizontal uniform infrastructure,510.92,PROD-507888,4.95,,965,91x96x58cm,44.46,668,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Organic analyzing strategy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</similar>\n<get>\n<summary>Natural see lot recently.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//similar>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Organic analyzing strategy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/similar\": {\n      \"get\": {\n        \"summary\": \"Natural see lot recently.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2337421</total_revenue>\n<units_sold>23839</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3840938</revenue>\n<growth>18.52</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>1512471</revenue>\n<growth>13.02</growth>\n</channels>\n<top_products>\n<sku>SKU-1744</sku>\n<sales>276633</sales>\n</top_products>\n<top_products>\n<sku>SKU-5145</sku>\n<sales>26445</sales>\n</top_products>\n<top_products>\n<sku>SKU-9218</sku>\n<sales>412054</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2337421,\n  \"units_sold\": 23839,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3840938,\n      \"growth\": 18.52\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 1512471,\n      \"growth\": 13.02\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1744\",\n      \"sales\": 276633\n    },\n    {\n      \"sku\": \"SKU-5145\",\n      \"sales\": 26445\n    },\n    {\n      \"sku\": \"SKU-9218\",\n      \"sales\": 412054\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nScott-Campbell,6.47,40738667,15.92,8.35,16626814,Q2 2021,15063505,SZQB\r\nFreeman-Johnson,0.55,44024861,8.89,21.09,19860732,Q1 2023,79030538,DCUR\r\nCook-Sherman,7.98,33981060,8.24,12.92,1437997,Q2 2021,66448717,WTFY\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"April 2020\"\ntotal_revenue = 1914989\nunits_sold = 47758\n[[channels]]\nname = \"wholesale\"\nrevenue = 3617590\ngrowth = 20.48\n\n[[channels]]\nname = \"online\"\nrevenue = 654207\ngrowth = 24.4\n\n[[top_products]]\nsku = \"SKU-4328\"\nsales = 466200\n\n[[top_products]]\nsku = \"SKU-2589\"\nsales = 244105\n\n[[top_products]]\nsku = \"SKU-7725\"\nsales = 25778\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from YAML to JSON:\nrx_id: RX-3305496\npatient_mrn: MRN-551064\nprescriber: Eric Jackson\ndate: '2026-01-03'\nmedications:\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 90\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3305496\",\n  \"patient_mrn\": \"MRN-551064\",\n  \"prescriber\": \"Eric Jackson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"patient_mrn\": \"MRN-952425\",\n  \"result_id\": \"LAB-8958063\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 196.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 99.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 51.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 186.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-58559815\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"0fae79ab-dabb-47f5-823b-f22743181c7c\",\n  \"username\": \"ortizkristina\",\n  \"content\": \"Speech can sea play. Season near story animal remain.\\nOff present vote wall. Society know family build. Certain thing live rise.\",\n  \"timestamp\": \"2026-01-07T13:51:26.463560\",\n  \"hashtags\": [\n    \"#once\",\n    \"#it\",\n    \"#rich\",\n    \"#keep\"\n  ],\n  \"engagement\": {\n    \"likes\": 248,\n    \"shares\": 32,\n    \"comments\": 161\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-2063\ncode: FAH301\ntitle: Ameliorated zero administration productivity 101\ninstructor: Aaron Bailey\ncredits: 4\nterm: Fall 2023\nschedule:\n- week: 1\n  topic: health\n- week: 2\n  topic: buy\n- week: 3\n  topic: conference\n- week: 4\n  topic: late\n- week: 5\n  topic: fear\n- week: 6\n  topic: ability\n- week: 7\n  topic: control\n- week: 8\n  topic: choose\n- week: 9\n  topic: measure\n- week: 10\n  topic: social\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-231226\nparties:\n- name: Gibbs, Erickson and Nunez\n  role: party_a\n- name: Johnson-Gates\n  role: party_b\neffective_date: '2026-01-02'\nterm_months: 45\nvalue: 678004\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-4493327\",\n  \"patient\": {\n    \"mrn\": \"MRN-934301\",\n    \"age\": 62,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"141/91\",\n    \"hr\": 100,\n    \"temp_f\": 98.5\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-4827299\",\n  \"patient_mrn\": \"MRN-871984\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 156.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 186.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 134.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 64.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.65510\",\n  \"title\": \"Mandatory solution-oriented groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Jared Fuller\",\n      \"affiliation\": \"Robinson, Crawford and Johnson\",\n      \"email\": \"jenna58@example.net\"\n    },\n    {\n      \"name\": \"Nancy Anderson\",\n      \"affiliation\": \"Shannon-Johnson\",\n      \"email\": \"richdonald@example.net\"\n    },\n    {\n      \"name\": \"Julia Neal\",\n      \"affiliation\": \"Roach, Harper and Cameron\",\n      \"email\": \"gillcory@example.com\"\n    }\n  ],\n  \"abstract\": \"Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.\",\n  \"keywords\": [\n    \"surface\",\n    \"consumer\",\n    \"despite\",\n    \"compare\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.8909/Qnkv\"\n  },\n  \"citations\": 488,\n  \"funding_source\": \"Johnson LLC\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Robust actuating knowledgebase,257.98,PROD-622062,3.18,349,63x26x66cm,48.51,366\r\nbooks,USD,True,Enhanced neutral extranet,80.53,PROD-553469,3.53,21,91x71x80cm,46.59,162\r\nelectronics,USD,True,Streamlined grid-enabled matrices,314.89,PROD-901119,3.4,593,90x51x26cm,22.66,329\r\nelectronics,USD,True,Decentralized human-resource open system,174.56,PROD-326883,4.11,4,70x56x28cm,14.82,898\r\nbooks,USD,True,Decentralized exuding matrix,516.67,PROD-373546,4.74,416,81x42x13cm,13.07,258\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Secured well-modulated policy API\n  version: 1.0.0\npaths:\n  /article:\n    get:\n      summary: During certainly full.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-489062\"\ntitle = \"Effect of least on reason\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 22.73\nendpoint = 70.23\np_value = 0.1729\n\n[[results]]\nmetric = \"safety\"\nbaseline = 97.81\nendpoint = 48.26\np_value = 0.1151\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 352\nduration_days = 250\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-3990665\",\n  \"patient_mrn\": \"MRN-508219\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 80.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 90.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 138.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 172.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 151.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3990665</result_id>\n<patient_mrn>MRN-508219</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>80.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>90.9</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>138.0</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>172.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>151.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>188.6</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,name,paper_id,price,publication_doi,publication_venue,publication_year,reviews,specs_dimensions,specs_weight_kg,title\r\n,,,,,Universal fault-tolerant service-desk,,907.33,,,,493,62x22x22cm,8.02,\r\n\"Science back social rather manage teach reflect. Shake way computer.\nSport drop until simply claim. \",\"[{\"\"name\"\": \"\"Karina Wood\"\", \"\"affiliation\"\": \"\"Henderson-Gaines\"\", \"\"email\"\": \"\"matajoseph@example.org\"\"}, {\"\"na\",370,None,\"[\"\"season\"\", \"\"group\"\", \"\"just\"\", \"\"worry\"\"]\",,arXiv:2021.60407,,10.3555/JSte,Nature,2020,,,,Open-architected static throughput\r\n\"Sort child suddenly.\nSouthern white brother news.\",\"[{\"\"name\"\": \"\"Tommy Morales\"\", \"\"affiliation\"\": \"\"Johnson, Lang and Ramirez\"\", \"\"email\"\": \"\"cdavis@example.net\"\"\",482,Rodriguez Ltd,\"[\"\"discover\"\", \"\"structure\"\", \"\"return\"\"]\",,arXiv:2023.85575,,10.1508/XUIo,Science,2022,,,,Decentralized reciprocal groupware\r\nIts can prove moment audience choice. Structure western film enter daughter learn of. These anything,\"[{\"\"name\"\": \"\"Anthony Wright\"\", \"\"affiliation\"\": \"\"Mitchell and Sons\"\", \"\"email\"\": \"\"diane01@example.org\"\"}, {\"\"n\",319,None,\"[\"\"brother\"\", \"\"check\"\", \"\"provide\"\", \"\"though\"\"]\",,arXiv:2021.85899,,10.1889/bZjo,Nature,2022,,,,Networked content-based collaboration\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,Lipid,MRN-995588,LAB-2627881,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 74.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n2026-01-02,Lipid,MRN-447909,LAB-2564772,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 82.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 59.8, \"\"uni\"\r\n2026-01-03,Lipid,MRN-916805,LAB-5999297,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 154.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-01,Lipid,MRN-635582,LAB-6795112,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 153.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 151.\"\r\n2026-01-01,Lipid,MRN-993379,LAB-4140314,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 176.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 190.3,\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-436609\nstudent_id: STU-981453\ncourse_id: CRS-9153\ntype: exam\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 9\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 4\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 8\n  points_possible: 10\n- question: 6\n  points_earned: 3\n  points_possible: 10\n- question: 7\n  points_earned: 10\n  points_possible: 10\n- question: 8\n  points_earned: 10\n  points_possible: 10\n- question: 9\n  points_earned: 2\n  points_possible: 10\ntotal_score: 51\npercentage: 95.63\ngrade: A\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/pass_get_parameters,paths_/pass_get_responses_200_description,paths_/pass_get_responses_400_description,paths_/pass_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Upgradable 4thgeneration middleware API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Story amount nor bed night get message.,,,,\r\nJust along even public. Relationship water seek government. Cup why deep year sell.,\"[{\"\"name\"\": \"\"Michael Leonard\"\", \"\"affiliation\"\": \"\"Bishop-Richard\"\", \"\"email\"\": \"\"ian00@example.net\"\"}, {\"\"name\"\"\",460,\"Bruce, Daniels and Robertson\",,,\"[\"\"war\"\", \"\"walk\"\", \"\"radio\"\", \"\"beat\"\"]\",,arXiv:2021.54096,,,,,10.2876/MCVm,Science,2020,Re-engineered bi-directional benchmark\r\nFear something somebody ability training. Continue physical win president wind action throw as. Incl,\"[{\"\"name\"\": \"\"Joshua Reyes\"\", \"\"affiliation\"\": \"\"Castro-Mcfarland\"\", \"\"email\"\": \"\"jennifer60@example.net\"\"}, {\"\"n\",484,None,,,\"[\"\"mention\"\", \"\"none\"\", \"\"Mr\"\", \"\"range\"\", \"\"society\"\"]\",,arXiv:2022.30182,,,,,10.4032/Xaul,Nature,2021,Persistent mission-critical instruction set\r\n\"City wrong few study. Available figure as unit edge suffer.\nExplain seat answer next national fine. \",\"[{\"\"name\"\": \"\"Kendra Smith\"\", \"\"affiliation\"\": \"\"Berry-Stephenson\"\", \"\"email\"\": \"\"jay43@example.com\"\"}, {\"\"name\"\":\",476,None,,,\"[\"\"everyone\"\", \"\"discussion\"\", \"\"answer\"\", \"\"environmental\"\", \"\"ability\"\"]\",,arXiv:2023.17961,,,,,10.6416/Zmpx,Nature,2020,Team-oriented bandwidth-monitored monitoring\r\nChoice especially produce show often. Minute large treatment report watch.,\"[{\"\"name\"\": \"\"William Lopez\"\", \"\"affiliation\"\": \"\"Taylor, Richard and Norton\"\", \"\"email\"\": \"\"melanie79@example.\",40,None,,,\"[\"\"forward\"\", \"\"college\"\", \"\"interesting\"\"]\",,arXiv:2023.28016,,,,,10.3441/bDPI,Science,2024,Virtual 6thgeneration leverage\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Upgradable 4thgeneration middleware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/pass\": {\n      \"get\": {\n        \"summary\": \"Story amount nor bed night get message.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output research paper as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.57642\",\n  \"title\": \"Organized clear-thinking projection\",\n  \"authors\": [\n    {\n      \"name\": \"Thomas Harrison\",\n      \"affiliation\": \"Benjamin, Peterson and James\",\n      \"email\": \"martinjoseph@example.com\"\n    },\n    {\n      \"name\": \"Samantha Phillips\",\n      \"affiliation\": \"Carpenter Ltd\",\n      \"email\": \"hawkinssarah@example.com\"\n    }\n  ],\n  \"abstract\": \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\",\n  \"keywords\": [\n    \"decade\",\n    \"kitchen\",\n    \"discover\",\n    \"wide\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.5371/HWME\"\n  },\n  \"citations\": 306,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate student assessment data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"total_score\": 97,\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"percentage\": 78.32,\n  \"course_id\": \"CRS-4089\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-852387</product_id>\n<name>Profound logistical array</name>\n<category>electronics</category>\n<price>299.46</price>\n<currency>USD</currency>\n<stock>505</stock>\n<is_available>True</is_available>\n<rating>2.95</rating>\n<reviews>519</reviews>\n<specs>\n<weight_kg>6.22</weight_kg>\n<dimensions>16x47x36cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-319304\",\n  \"name\": \"Self-enabling clear-thinking help-desk\",\n  \"category\": \"clothing\",\n  \"price\": 510.64,\n  \"currency\": \"USD\",\n  \"stock\": 595,\n  \"is_available\": true,\n  \"rating\": 2.22,\n  \"reviews\": 791,\n  \"specs\": {\n    \"weight_kg\": 30.42,\n    \"dimensions\": \"12x58x39cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-319304</product_id>\n<name>Self-enabling clear-thinking help-desk</name>\n<category>clothing</category>\n<price>510.64</price>\n<currency>USD</currency>\n<stock>595</stock>\n<is_available>True</is_available>\n<rating>2.22</rating>\n<reviews>791</reviews>\n<specs>\n<weight_kg>30.42</weight_kg>\n<dimensions>12x58x39cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-2501238\nproduct_id: PROD-522391\nuser_id: e7009058-1693-436f-a8d5-a48a7e2ea712\nrating: 2\ntitle: Seat worker majority response avoid.\ncontent: 'Country maybe method focus community red high will. Movement city change\n  bar treatment leader room.\n\n  Media time ground yes. Ok few expect environment hotel.\n\n  Sure interest network wall my.'\ndate: '2026-01-01'\nverified_purchase: false\nhelpful_votes: 96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2021.60506\"\nkeywords = [ \"simple\", \"language\", \"senior\", \"across\", \"popular\",]\n[[authors]]\nname = \"Melissa Phillips\"\naffiliation = \"Jones, Padilla and Anderson\"\nemail = \"fmason@example.com\"\n\n[[authors]]\nname = \"Tamara Garcia\"\naffiliation = \"Harris, Hardin and Burgess\"\nemail = \"yeaton@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2021\ndoi = \"10.1851/eQcz\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Progressive contextually-based hardware API\"\nversion = \"1.0.0\"\n\n[paths.\"/perform\".get]\nsummary = \"Within believe example affect win.\"\n[[paths.\"/perform\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/perform\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/perform\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/perform\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/perform\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-461250,Zachary Berry,RX-9036427\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-940708,William Hall,RX-2204407\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-568077,Joseph Cooper,RX-1030562\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}]\",MRN-183915,Heidi Gonzalez,RX-2226508\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvas\",MRN-391479,Christopher Johnson,RX-8911382\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-9036427\"\npatient_mrn = \"MRN-461250\"\nprescriber = \"Zachary Berry\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nsection = \"Politics\"\ntags = [ \"machine\", \"fund\", \"station\", \"our\",]\npublished = \"2026-01-05T17:58:55.100855\"\nviews = 86295\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Cloned multi-state conglomeration API\"\nversion = \"1.0.0\"\n\n[paths.\"/thought\".get]\nsummary = \"Structure play summer activity.\"\n[[paths.\"/thought\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/thought\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/thought\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/thought\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5570</course_id>\n<code>ZMD258</code>\n<title>Mandatory leadingedge superstructure 101</title>\n<instructor>Gregory Dunn</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>guess</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>forget</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>technology</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sea</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>other</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>new</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>report</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>guy</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>can</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>inside</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-5570\",\n  \"code\": \"ZMD258\",\n  \"title\": \"Mandatory leadingedge superstructure 101\",\n  \"instructor\": \"Gregory Dunn\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"guess\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"forget\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"technology\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sea\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"new\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"report\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"guy\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"can\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"inside\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate lab result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-2983714\"\npatient_mrn = \"MRN-369371\"\norder_date = \"2026-01-04\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 97.6\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 60.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 172.2\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 145.9\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 83.4\nunit = \"mg/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-125540\",\n  \"name\": \"Universal eco-centric approach\",\n  \"category\": \"books\",\n  \"price\": 208.68,\n  \"currency\": \"USD\",\n  \"stock\": 879,\n  \"is_available\": true,\n  \"rating\": 4.53,\n  \"reviews\": 925,\n  \"specs\": {\n    \"weight_kg\": 20.35,\n    \"dimensions\": \"45x91x83cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-125540</product_id>\n<name>Universal eco-centric approach</name>\n<category>books</category>\n<price>208.68</price>\n<currency>USD</currency>\n<stock>879</stock>\n<is_available>True</is_available>\n<rating>4.53</rating>\n<reviews>925</reviews>\n<specs>\n<weight_kg>20.35</weight_kg>\n<dimensions>45x91x83cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-685161\",\n  \"name\": \"Balanced demand-driven capacity\",\n  \"category\": \"clothing\",\n  \"price\": 554.83,\n  \"currency\": \"USD\",\n  \"stock\": 872,\n  \"is_available\": true,\n  \"rating\": 3.32,\n  \"reviews\": 212,\n  \"specs\": {\n    \"weight_kg\": 39.83,\n    \"dimensions\": \"86x88x63cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-685161</product_id>\n<name>Balanced demand-driven capacity</name>\n<category>clothing</category>\n<price>554.83</price>\n<currency>USD</currency>\n<stock>872</stock>\n<is_available>True</is_available>\n<rating>3.32</rating>\n<reviews>212</reviews>\n<specs>\n<weight_kg>39.83</weight_kg>\n<dimensions>86x88x63cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate experiment result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-500587\",\n  \"title\": \"Effect of seem on put\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 806,\n    \"duration_days\": 332\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 59.15,\n      \"endpoint\": 80.7,\n      \"p_value\": 0.0751\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 25.67,\n      \"endpoint\": 99.48,\n      \"p_value\": 0.1142\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 72.29,\n      \"endpoint\": 18.69,\n      \"p_value\": 0.2768\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 16.24,\n      \"endpoint\": 94.98,\n      \"p_value\": 0.315\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from TOML to YAML:\ncompany = \"Nichols, Ferguson and Butler\"\nticker = \"NDVN\"\nquarter = \"Q1 2022\"\nrevenue = 39470251\nexpenses = 26562838\nnet_income = 16784469\neps = 3.2\n\n[metrics]\nprofit_margin = 27.93\nroe = 5.96\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Nichols, Ferguson and Butler\nticker: NDVN\nquarter: Q1 2022\nrevenue: 39470251\nexpenses: 26562838\nnet_income: 16784469\neps: 3.2\nmetrics:\n  profit_margin: 27.93\n  roe: 5.96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-480886</product_id>\n<name>Operative optimizing monitoring</name>\n<category>books</category>\n<price>967.35</price>\n<currency>USD</currency>\n<stock>887</stock>\n<is_available>True</is_available>\n<rating>2.99</rating>\n<reviews>465</reviews>\n<specs>\n<weight_kg>39.19</weight_kg>\n<dimensions>82x84x37cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"course_id\": \"CRS-5570\",\n  \"code\": \"ZMD258\",\n  \"title\": \"Mandatory leadingedge superstructure 101\",\n  \"instructor\": \"Gregory Dunn\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"guess\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"forget\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"technology\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sea\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"new\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"report\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"guy\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"can\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"inside\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-5570</course_id>\n<code>ZMD258</code>\n<title>Mandatory leadingedge superstructure 101</title>\n<instructor>Gregory Dunn</instructor>\n<credits>3</credits>\n<term>Spring 2021</term>\n<schedule>\n<week>1</week>\n<topic>guess</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>forget</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>technology</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>nothing</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sea</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>other</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>new</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>report</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>guy</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>can</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>inside</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n4e847e0a-8491-471d-b90a-d52c09166092,\"[{\"\"sku\"\": \"\"SKU-43296\"\", \"\"qty\"\": 1, \"\"price\"\": 12.81}]\",paypal,1515.44,172.1,2026-01-06T09:43:34.736762,349.44,TXN-89570156\r\na5819cd6-ad3b-4796-a272-516701dc5a42,\"[{\"\"sku\"\": \"\"SKU-90913\"\", \"\"qty\"\": 4, \"\"price\"\": 155.59}, {\"\"sku\"\": \"\"SKU-86913\"\", \"\"qty\"\": 1, \"\"price\"\": 345.14}, {\",apple_pay,1204.11,104.47,2026-01-06T09:43:34.740437,2194.6,TXN-55846081\r\nb8017ef3-2805-4cd1-86ac-c8e35ed749fc,\"[{\"\"sku\"\": \"\"SKU-69914\"\", \"\"qty\"\": 1, \"\"price\"\": 308.77}, {\"\"sku\"\": \"\"SKU-66690\"\", \"\"qty\"\": 3, \"\"price\"\": 31.97}, {\"\"\",credit_card,1883.56,171.28,2026-01-06T09:43:34.740545,861.3,TXN-57310567\r\nab06f96f-661e-45cd-a10e-a31b71725aa5,\"[{\"\"sku\"\": \"\"SKU-94696\"\", \"\"qty\"\": 4, \"\"price\"\": 58.13}, {\"\"sku\"\": \"\"SKU-87511\"\", \"\"qty\"\": 2, \"\"price\"\": 232.78}]\",apple_pay,1605.56,155.54,2026-01-06T09:43:34.740621,1076.56,TXN-47795160\r\nfd691704-ebb2-42e3-a438-5a47a7fbf1f9,\"[{\"\"sku\"\": \"\"SKU-31480\"\", \"\"qty\"\": 5, \"\"price\"\": 354.03}, {\"\"sku\"\": \"\"SKU-66634\"\", \"\"qty\"\": 4, \"\"price\"\": 219.31}]\",paypal,1533.28,154.29,2026-01-06T09:43:34.740685,310.8,TXN-45639419\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output lab result as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5956795\",\n  \"patient_mrn\": \"MRN-953048\",\n  \"order_date\": \"2026-01-05\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 69.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 89.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 169.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 187.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 120.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: April 2022\ntotal_revenue: 3240395\nunits_sold: 93687\nchannels:\n- name: online\n  revenue: 846299\n  growth: 33.82\n- name: retail\n  revenue: 1426706\n  growth: 8.5\ntop_products:\n- sku: SKU-6500\n  sales: 463299\n- sku: SKU-9313\n  sales: 62439\n- sku: SKU-6776\n  sales: 77882\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-1823437\"\nheadline = \"Integrated content-based throughput\"\nauthor = \"Anna Ortiz\"\npublished = \"2026-01-05T06:32:59.977242\"\nsection = \"Politics\"\ncontent = \"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\\nFilm traditional together still member. Culture let serve home.\\nChoose free minute in rich after image. Family meet health offer total leave media. Education enter against foreign.\"\ntags = [ \"base\", \"fight\", \"test\",]\nviews = 75522\nshares = 3070\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-1689\"\ncode = \"NZW166\"\ntitle = \"Operative modular system engine 101\"\ninstructor = \"David Chen\"\ncredits = 4\nterm = \"Fall 2021\"\n[[schedule]]\nweek = 1\ntopic = \"in\"\n\n[[schedule]]\nweek = 2\ntopic = \"summer\"\n\n[[schedule]]\nweek = 3\ntopic = \"unit\"\n\n[[schedule]]\nweek = 4\ntopic = \"wind\"\n\n[[schedule]]\nweek = 5\ntopic = \"act\"\n\n[[schedule]]\nweek = 6\ntopic = \"itself\"\n\n[[schedule]]\nweek = 7\ntopic = \"would\"\n\n[[schedule]]\nweek = 8\ntopic = \"itself\"\n\n[[schedule]]\nweek = 9\ntopic = \"tell\"\n\n[[schedule]]\nweek = 10\ntopic = \"money\"\n\n[[schedule]]\nweek = 11\ntopic = \"long\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-891981\nname: Focused background info-mediaries\ncategory: books\nprice: 16.4\ncurrency: USD\nstock: 192\nis_available: true\nrating: 3.23\nreviews: 117\nspecs:\n  weight_kg: 31.51\n  dimensions: 65x39x62cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.87629\ntitle: Decentralized zero tolerance knowledgebase\nauthors:\n- name: Jonathan Murphy\n  affiliation: Long and Sons\n  email: loconnell@example.org\n- name: Patrick Skinner\n  affiliation: Williams and Sons\n  email: chentimothy@example.org\n- name: Todd Smith\n  affiliation: Lewis LLC\n  email: nedwards@example.org\nabstract: System many view vote. Into challenge wind result new good.\nkeywords:\n- modern\n- over\n- during\n- affect\n- sport\npublication:\n  venue: Cell\n  year: 2022\n  doi: 10.5354/mlMa\ncitations: 187\nfunding_source: Fischer and Sons\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id = \"REV-5832770\"\nproduct_id = \"PROD-688379\"\nuser_id = \"d5e035fb-55b8-4fae-85aa-504fb2b837bd\"\nrating = 3\ntitle = \"Investment great beat fear step Democrat treat.\"\ncontent = \"Near season take foot decade hold some meet.\\nPretty season exist old turn consumer particularly star. Step receive unit different.\"\ndate = \"2026-01-02\"\nverified_purchase = false\nhelpful_votes = 62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-7328466\"\npatient_mrn = \"MRN-740510\"\nprescriber = \"William Hebert\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Woods and Sons\"\nticker = \"ZCNM\"\nquarter = \"Q1 2020\"\nrevenue = 42196406\nexpenses = 48284794\nnet_income = 2937548\neps = 8.84\n\n[metrics]\nprofit_margin = 12.42\nroe = 23.86\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output error log as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"course_id\": \"CRS-2281\",\n  \"code\": \"NHA456\",\n  \"title\": \"Profit-focused mission-critical hardware 101\",\n  \"instructor\": \"Natalie Middleton\",\n  \"credits\": 3,\n  \"term\": \"Spring 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"its\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"attorney\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"decision\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"every\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"direction\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"player\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"city\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"everybody\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2281</course_id>\n<code>NHA456</code>\n<title>Profit-focused mission-critical hardware 101</title>\n<instructor>Natalie Middleton</instructor>\n<credits>3</credits>\n<term>Spring 2024</term>\n<schedule>\n<week>1</week>\n<topic>its</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>attorney</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>decision</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>every</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>direction</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>player</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>city</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>everybody</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>throw</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,category,citations,funding_source,keywords,paper_id,price,publication_doi,publication_venue,publication_year,specs_dimensions,specs_weight_kg,stock,title\r\n,,electronics,,,,,218.58,,,,23x92x45cm,38.59,596,\r\n\"Fact address game. Site before learn food send because. Measure price whom skin.\nFinancial house ter\",\"[{\"\"name\"\": \"\"Charles Rice\"\", \"\"affiliation\"\": \"\"Page LLC\"\", \"\"email\"\": \"\"larrygalvan@example.com\"\"}, {\"\"name\"\": \"\"\",,266,Martin Ltd,\"[\"\"vote\"\", \"\"letter\"\", \"\"environment\"\"]\",arXiv:2022.93168,,10.6218/MBxQ,Nature,2022,,,,Adaptive mission-critical protocol\r\nDuring artist suffer wait simple he indicate organization. Two person today kitchen.,\"[{\"\"name\"\": \"\"Kristina Austin\"\", \"\"affiliation\"\": \"\"Beck-Obrien\"\", \"\"email\"\": \"\"marco09@example.com\"\"}, {\"\"name\"\":\",,284,Blackwell and Sons,\"[\"\"drive\"\", \"\"morning\"\", \"\"drug\"\"]\",arXiv:2021.23576,,10.4880/qHey,Science,2021,,,,Cross-platform real-time hub\r\nBuild six remember current. Task per nice fact attention result speak push. Apply local pressure pro,\"[{\"\"name\"\": \"\"Scott Castro MD\"\", \"\"affiliation\"\": \"\"Williams Group\"\", \"\"email\"\": \"\"chavezadam@example.org\"\"}, {\"\"\",,233,Reyes-Greene,\"[\"\"north\"\", \"\"exist\"\", \"\"market\"\", \"\"cause\"\"]\",arXiv:2023.18133,,10.7605/Qgmh,Nature,2023,,,,Cross-platform multi-tasking strategy\r\nLanguage space agent somebody summer.,\"[{\"\"name\"\": \"\"Zachary Murphy\"\", \"\"affiliation\"\": \"\"Young-Simmons\"\", \"\"email\"\": \"\"john71@example.net\"\"}, {\"\"name\"\":\",,469,None,\"[\"\"eat\"\", \"\"style\"\", \"\"option\"\"]\",arXiv:2024.63810,,10.7603/kKkD,Nature,2021,,,,Vision-oriented human-resource model\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>249c5a8d-effc-4f5a-9a18-79860cd86eba</error_id>\n<timestamp>2026-01-07T13:51:25.844189</timestamp>\n<level>CRITICAL</level>\n<service>createService</service>\n<message>Capital carry as agree member lead one.</message>\n<stack_trace>at sign.py:359</stack_trace>\n<stack_trace>at college.py:115</stack_trace>\n<stack_trace>at try.py:133</stack_trace>\n<context>\n<user_id>e110a198-5d8a-4242-b2e4-6ec6ae49ca80</user_id>\n<request_id>939e8b37-2ce6-4ba0-bde6-ca285c8d396c</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"249c5a8d-effc-4f5a-9a18-79860cd86eba\",\n  \"timestamp\": \"2026-01-07T13:51:25.844189\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"createService\",\n  \"message\": \"Capital carry as agree member lead one.\",\n  \"stack_trace\": [\n    \"at sign.py:359\",\n    \"at college.py:115\",\n    \"at try.py:133\"\n  ],\n  \"context\": {\n    \"user_id\": \"e110a198-5d8a-4242-b2e4-6ec6ae49ca80\",\n    \"request_id\": \"939e8b37-2ce6-4ba0-bde6-ca285c8d396c\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"article_id\": \"ART-4067367\",\n  \"headline\": \"Polarized human-resource adapter\",\n  \"author\": \"Kristin Larson\",\n  \"published\": \"2026-01-07T00:05:34.405255\",\n  \"section\": \"Business\",\n  \"content\": \"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.\",\n  \"tags\": [\n    \"program\",\n    \"final\",\n    \"computer\",\n    \"live\"\n  ],\n  \"views\": 74807,\n  \"shares\": 3986\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-4067367</article_id>\n<headline>Polarized human-resource adapter</headline>\n<author>Kristin Larson</author>\n<published>2026-01-07T00:05:34.405255</published>\n<section>Business</section>\n<content>Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.</content>\n<tags>program</tags>\n<tags>final</tags>\n<tags>computer</tags>\n<tags>live</tags>\n<views>74807</views>\n<shares>3986</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-640570\nparties:\n- name: Mitchell-Clark\n  role: party_a\n- name: Simmons-Marquez\n  role: party_b\neffective_date: '2026-01-06'\nterm_months: 52\nvalue: 450714\nstatus: pending\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Focused background info-mediaries,16.4,PROD-891981,3.23,117,65x39x62cm,31.51,192\r\nclothing,USD,True,Triple-buffered value-added utilization,636.7,PROD-453557,4.77,75,65x67x98cm,28.2,649\r\nclothing,USD,True,Re-contextualized transitional emulation,808.49,PROD-253084,4.69,259,31x19x83cm,19.88,82\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nproduct_id = \"PROD-891981\"\nname = \"Focused background info-mediaries\"\ncategory = \"books\"\nprice = 16.4\ncurrency = \"USD\"\nstock = 192\nis_available = true\nrating = 3.23\nreviews = 117\n\n[specs]\nweight_kg = 31.51\ndimensions = \"65x39x62cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-619223\"\neffective_date = \"2026-01-03\"\nterm_months = 21\nvalue = 87478\nstatus = \"pending\"\n[[parties]]\nname = \"Mcdaniel LLC\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Hunt-Bowman\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-274282,2026-01-01,\"[{\"\"name\"\": \"\"Schroeder LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kemp-Jones\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,28,285721\r\nCTR-140680,2026-01-05,\"[{\"\"name\"\": \"\"Gray-Johnson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Duffy-Ware\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,49,54718\r\nCTR-526762,2026-01-04,\"[{\"\"name\"\": \"\"Mills-Mckee\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Morton, Jones and Sweeney\"\", \"\"role\"\": \"\"party_b\"\"\",executed,28,148726\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-80266448\ncustomer_id: 085a983e-24d3-487a-b81d-a2bface44673\ntimestamp: '2026-01-06T09:43:31.868124'\nitems:\n- sku: SKU-33405\n  qty: 1\n  price: 395.29\nsubtotal: 1516.47\ntax: 40.93\ntotal: 1938.54\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2021.87801\",\n  \"title\": \"Cross-group 24/7 methodology\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Webb\",\n      \"affiliation\": \"Chapman LLC\",\n      \"email\": \"juanbooth@example.com\"\n    },\n    {\n      \"name\": \"Robert Mullins\",\n      \"affiliation\": \"Robbins, Adkins and Rogers\",\n      \"email\": \"michaeldunn@example.org\"\n    }\n  ],\n  \"abstract\": \"Reality maybe court material response cell. Middle instead husband win thousand collection.\",\n  \"keywords\": [\n    \"girl\",\n    \"face\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.4960/byWV\"\n  },\n  \"citations\": 193,\n  \"funding_source\": \"Williams Ltd\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-324198\"\neffective_date = \"2026-01-06\"\nterm_months = 34\nvalue = 725205\nstatus = \"pending\"\n[[parties]]\nname = \"Alvarado-Barnes\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Lopez, Price and Melendez\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"title\": \"Effect of main on stand\",\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 50.39,\n      \"endpoint\": 61.09,\n      \"p_value\": 0.3936\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 99.02,\n      \"endpoint\": 82.38,\n      \"p_value\": 0.0752\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 94.16,\n      \"endpoint\": 58.56,\n      \"p_value\": 0.1239\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 41.74,\n      \"endpoint\": 45.99,\n      \"p_value\": 0.0661\n    }\n  ],\n  \"experiment_id\": \"EXP-681166\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 875,\n    \"duration_days\": 212\n  },\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Intuitive disintermediate website API\n  version: 1.0.0\npaths:\n  /reality:\n    get:\n      summary: Activity public whole paper there relationship tas\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nerror_id = \"21bf982e-3e24-486f-a8ed-fe9e0227df3b\"\ntimestamp = \"2026-01-07T13:51:27.797574\"\nlevel = \"CRITICAL\"\nservice = \"letService\"\nmessage = \"Story quite another important.\"\nstack_trace = [ \"at decision.py:100\", \"at sing.py:289\", \"at long.py:325\", \"at special.py:174\",]\n\n[context]\nuser_id = \"8c36ba55-183c-4481-9cd9-dc049447888c\"\nrequest_id = \"089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id: 21bf982e-3e24-486f-a8ed-fe9e0227df3b\ntimestamp: '2026-01-07T13:51:27.797574'\nlevel: CRITICAL\nservice: letService\nmessage: Story quite another important.\nstack_trace:\n- at decision.py:100\n- at sing.py:289\n- at long.py:325\n- at special.py:174\ncontext:\n  user_id: 8c36ba55-183c-4481-9cd9-dc049447888c\n  request_id: 089e0eaa-71d8-4f30-a2f1-bac42a6b74a3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output sales analytics as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"January 2022\",\n  \"total_revenue\": 7456708,\n  \"units_sold\": 82349,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3622404,\n      \"growth\": -8.05\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1893923,\n      \"growth\": 2.21\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2073\",\n      \"sales\": 98550\n    },\n    {\n      \"sku\": \"SKU-3707\",\n      \"sales\": 233488\n    },\n    {\n      \"sku\": \"SKU-7843\",\n      \"sales\": 172526\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"article_id\": \"ART-9801838\",\n  \"headline\": \"Multi-lateral didactic encryption\",\n  \"author\": \"Jeffrey Gordon\",\n  \"published\": \"2026-01-04T05:36:27.140251\",\n  \"section\": \"Business\",\n  \"content\": \"Partner energy whose simply half because long. Pattern include thousand care four against.\\nScene center certainly letter already rate among. Do amount account court term same.\\nStep usually ground onto study myself.\",\n  \"tags\": [\n    \"word\",\n    \"public\",\n    \"near\"\n  ],\n  \"views\": 26731,\n  \"shares\": 4423\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9801838</article_id>\n<headline>Multi-lateral didactic encryption</headline>\n<author>Jeffrey Gordon</author>\n<published>2026-01-04T05:36:27.140251</published>\n<section>Business</section>\n<content>Partner energy whose simply half because long. Pattern include thousand care four against.\nScene center certainly letter already rate among. Do amount account court term same.\nStep usually ground onto study myself.</content>\n<tags>word</tags>\n<tags>public</tags>\n<tags>near</tags>\n<views>26731</views>\n<shares>4423</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-9178511</article_id>\n<headline>Fully-configurable secondary access</headline>\n<author>Gabrielle Daugherty</author>\n<published>2026-01-05T07:34:40.744934</published>\n<section>Tech</section>\n<content>Lawyer might home mouth end so science. Hope attention strong public teach person beautiful though. Really decision land evening year.\nJust role ground discover. Five stand writer floor.</content>\n<tags>maybe</tags>\n<tags>glass</tags>\n<tags>election</tags>\n<tags>moment</tags>\n<views>24250</views>\n<shares>778</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2020\"\ntotal_revenue = 2007174\nunits_sold = 24558\n[[channels]]\nname = \"online\"\nrevenue = 235807\ngrowth = 46.03\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 4419318\ngrowth = 24.35\n\n[[top_products]]\nsku = \"SKU-6554\"\nsales = 258652\n\n[[top_products]]\nsku = \"SKU-8652\"\nsales = 200091\n\n[[top_products]]\nsku = \"SKU-9581\"\nsales = 65110\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Compatible disintermediate groupware API\"\nversion = \"1.0.0\"\n\n[paths.\"/season\".get]\nsummary = \"Control religious less finish financial against of\"\n[[paths.\"/season\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/season\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/season\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/season\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/season\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nQKE428,CRS-8328,3,40,30,30,Sarah Simon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"whole\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"determine\"\"}, {\"\"\",Fall 2022,Decentralized content-based leverage 101\r\nSJG454,CRS-9667,4,40,30,30,Stephanie Camacho,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"with\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"hour\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"continue\"\"}, {\"\"wee\",Fall 2023,Virtual dedicated monitoring 101\r\nUNJ214,CRS-5398,3,40,30,30,Emily Ross,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"none\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"term\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"rich\"\"}, {\"\"week\"\": \",Spring 2022,Realigned national utilization 101\r\nDLM281,CRS-3875,3,40,30,30,Angela Elliott,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"inside\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"part\"\"}, {\"\"week\",Fall 2024,Synchronized background monitoring 101\r\nZNT294,CRS-7432,3,40,30,30,Elizabeth Herrera,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"face\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"clear\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"current\"\"}, {\"\"wee\",Fall 2023,Cloned zero-defect approach 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3508494</note_id>\n<patient>\n<mrn>MRN-721804</mrn>\n<age>51</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>130/109</bp>\n<hr>78</hr>\n<temp_f>100.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K96</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K86</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-3508494\",\n  \"patient\": {\n    \"mrn\": \"MRN-721804\",\n    \"age\": 51,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"chest pain\",\n  \"vitals\": {\n    \"bp\": \"130/109\",\n    \"hr\": 78,\n    \"temp_f\": 100.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K96\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K86\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"review_id\": \"REV-7169946\",\n  \"product_id\": \"PROD-908355\",\n  \"user_id\": \"109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0\",\n  \"rating\": 3,\n  \"title\": \"Suffer kid daughter race still baby.\",\n  \"content\": \"Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\\nRun rich marriage parent discover kitchen. Positive person baby list positive really range.\",\n  \"date\": \"2026-01-05\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 3\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id = \"REV-7169946\"\nproduct_id = \"PROD-908355\"\nuser_id = \"109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0\"\nrating = 3\ntitle = \"Suffer kid daughter race still baby.\"\ncontent = \"Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\\nRun rich marriage parent discover kitchen. Positive person baby list positive really range.\"\ndate = \"2026-01-05\"\nverified_purchase = true\nhelpful_votes = 3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output news article as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-6846954</article_id>\n<headline>Triple-buffered intangible knowledgebase</headline>\n<author>Steven Burgess</author>\n<published>2026-01-02T13:52:55.283034</published>\n<section>Politics</section>\n<content>Police report arm sense find civil during. New avoid old future quality finally bad. Meeting child effect go play issue.\nThousand security article two color early. Avoid commercial science. Low method cultural personal night often.</content>\n<tags>couple</tags>\n<tags>specific</tags>\n<tags>him</tags>\n<views>35509</views>\n<shares>3662</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}]\",MRN-945258,Jessica Ramirez,RX-2217297\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-989399,Timothy Hopkins,RX-1482627\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-806416,Jennifer Brown,RX-1024808\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \"\"\",MRN-483555,Lisa Davis,RX-2984078\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient:\n  mrn: MRN-802088\n  age: 30\n  gender: M\nnote_id: CN-3759937\nvitals:\n  bp: 119/74\n  hr: 67\n  temp_f: 100.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this CSV data into JSON format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/article_get_parameters,paths_/article_get_responses_200_description,paths_/article_get_responses_400_description,paths_/article_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Secured well-modulated policy API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,During certainly full.,,,,\r\nAcross improve away population. Focus term customer nature worry design cut carry.,\"[{\"\"name\"\": \"\"Joe Johnson\"\", \"\"affiliation\"\": \"\"Fleming-Foster\"\", \"\"email\"\": \"\"michael23@example.com\"\"}, {\"\"name\"\"\",432,None,,,\"[\"\"lose\"\", \"\"family\"\", \"\"quickly\"\", \"\"place\"\"]\",,arXiv:2020.51769,,,,,10.8103/RBTT,Science,2021,Grass-roots 24/7 help-desk\r\n\"Hard participant thing sister detail region. Bad build deal career up.\nNorth deal physical onto mess\",\"[{\"\"name\"\": \"\"Jonathan Moss\"\", \"\"affiliation\"\": \"\"Ramirez LLC\"\", \"\"email\"\": \"\"robert59@example.org\"\"}, {\"\"name\"\": \",499,None,,,\"[\"\"any\"\", \"\"catch\"\", \"\"cut\"\", \"\"wide\"\", \"\"cause\"\"]\",,arXiv:2020.27097,,,,,10.9577/iSRI,Nature,2021,Centralized scalable strategy\r\nEverything seem alone want. Strong beat road skin. Statement team small.,\"[{\"\"name\"\": \"\"Eric Quinn\"\", \"\"affiliation\"\": \"\"Vazquez Inc\"\", \"\"email\"\": \"\"ewilliams@example.net\"\"}, {\"\"name\"\": \"\"I\",89,Patton-Flores,,,\"[\"\"score\"\", \"\"us\"\", \"\"situation\"\"]\",,arXiv:2023.43567,,,,,10.2249/JZUK,Nature,2023,Ergonomic logistical collaboration\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Secured well-modulated policy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/article\": {\n      \"get\": {\n        \"summary\": \"During certainly full.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-9701957\",\n  \"product_id\": \"PROD-683988\",\n  \"user_id\": \"4d7f9754-e296-4a29-967f-5c8de166a17c\",\n  \"rating\": 5,\n  \"title\": \"Teach look history according want manager perform.\",\n  \"content\": \"Admit large politics decide might Mr their. Hundred play I deal but player leader old. Then similar drug coach.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 36\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9701957</review_id>\n<product_id>PROD-683988</product_id>\n<user_id>4d7f9754-e296-4a29-967f-5c8de166a17c</user_id>\n<rating>5</rating>\n<title>Teach look history according want manager perform.</title>\n<content>Admit large politics decide might Mr their. Hundred play I deal but player leader old. Then similar drug coach.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>36</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need lab result details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresults:\n- test: Glucose\n  value: 107.4\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 112.5\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 76.6\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 183.9\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 56.2\n  unit: mg/dL\n  flag: normal\npatient_mrn: MRN-572762\nresult_id: LAB-1817134\norder_date: '2026-01-03'\npanel: Lipid\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.87771</paper_id>\n<title>User-centric stable ability</title>\n<authors>\n<name>Todd Hall MD</name>\n<affiliation>Nunez-Nguyen</affiliation>\n<email>grhodes@example.net</email>\n</authors>\n<authors>\n<name>Makayla Long</name>\n<affiliation>Stanley, Sellers and Jones</affiliation>\n<email>johnsontammy@example.net</email>\n</authors>\n<abstract>Behavior skin nation pay behind remain. Then put again. Process participant current all.</abstract>\n<keywords>design</keywords>\n<keywords>him</keywords>\n<keywords>blue</keywords>\n<keywords>less</keywords>\n<keywords>fine</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.6248/yEgY</doi>\n</publication>\n<citations>194</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Address music major. Magazine three about. Security ready result improve.\nHand other collection name\",,2026-01-03,50,,,,PROD-326180,4,REV-8075236,,,,,Most teacher Mrs system watch.,e70c9373-b1ad-41a5-8939-e3c28041d8f5,False\r\nelectronics,,USD,,,True,Profit-focused tertiary adapter,507.18,PROD-564742,2.61,,884,18x18x86cm,37.31,152,,,\r\nelectronics,,USD,,,True,Quality-focused 3rdgeneration productivity,707.02,PROD-249143,3.37,,707,71x78x74cm,37.37,713,,,\r\nbooks,,USD,,,True,Phased demand-driven monitoring,843.89,PROD-545884,3.4,,237,36x48x96cm,46.11,543,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nHardy-Nguyen,3.22,30350118,18.82,21.21,14673850,Q3 2024,23201336,ZAMS\r\nVincent PLC,6.65,13605841,19.41,22.33,19701370,Q1 2021,36113078,MBYQ\r\nWalker-Zhang,6.58,16600202,15.22,15.35,19679689,Q2 2024,76575005,OLSH\r\n\"Smith, Dixon and Kirby\",3.95,18617743,20.79,16.39,7577797,Q1 2021,10615274,TKLC\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreviews = 730\ncategory = \"books\"\nstock = 824\nis_available = true\n\n[specs]\nweight_kg = 7.36\ndimensions = \"46x21x76cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,content,funding_source,keywords,paper_id,platform,publication_doi,publication_venue,publication_year,timestamp,title\r\n,,,\"Debate begin clearly point at mention girl. Before card expect everyone.\nDog myself close. Over figu\",,,,instagram,,,,2026-01-06T09:43:30.161320,\r\n\"Still gun father. Price tonight front doctor strong.\nSay stay doctor marriage group. Sort young take\",\"[{\"\"name\"\": \"\"Natalie Burton\"\", \"\"affiliation\"\": \"\"Blake, Williams and Dawson\"\", \"\"email\"\": \"\"jessicaschwartz@e\",199,,\"Price, Colon and Stephens\",\"[\"\"real\"\", \"\"defense\"\", \"\"great\"\"]\",arXiv:2022.64651,,10.1810/JNQw,Science,2024,,Devolved responsive moderator\r\n\"Number professor baby off.\nToward feel late pattern fill result. Always good product doctor firm.\",\"[{\"\"name\"\": \"\"Kristy Austin\"\", \"\"affiliation\"\": \"\"Hull and Sons\"\", \"\"email\"\": \"\"suzanne54@example.org\"\"}, {\"\"name\",126,,None,\"[\"\"cultural\"\", \"\"quite\"\", \"\"year\"\", \"\"care\"\", \"\"chair\"\"]\",arXiv:2024.59125,,10.9267/xFZh,Cell,2023,,Versatile exuding infrastructure\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need api specification details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Reduced 4thgeneration strategy API\"\nversion = \"1.0.0\"\n\n[paths.\"/any\".get]\nsummary = \"Card statement bar development.\"\n[[paths.\"/any\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/any\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/any\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/any\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/any\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this JSON data into CSV format:\n{\n  \"txn_id\": \"TXN-85338602\",\n  \"customer_id\": \"ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\",\n  \"timestamp\": \"2026-01-07T13:51:25.620781\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-22630\",\n      \"qty\": 3,\n      \"price\": 89.97\n    }\n  ],\n  \"subtotal\": 468.67,\n  \"tax\": 148.91,\n  \"total\": 792.01,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3,\"[{\"\"sku\"\": \"\"SKU-22630\"\", \"\"qty\"\": 3, \"\"price\"\": 89.97}]\",apple_pay,468.67,148.91,2026-01-07T13:51:25.620781,792.01,TXN-85338602\r\na37edfa3-5645-4583-a20a-67b9e8b49d68,\"[{\"\"sku\"\": \"\"SKU-17068\"\", \"\"qty\"\": 2, \"\"price\"\": 287.87}]\",credit_card,394.17,7.91,2026-01-07T13:51:25.621933,1055.34,TXN-38529500\r\n4006be7a-72db-42ea-ae10-8dbc41c96dde,\"[{\"\"sku\"\": \"\"SKU-48833\"\", \"\"qty\"\": 3, \"\"price\"\": 241.36}]\",apple_pay,1172.69,77.01,2026-01-07T13:51:25.621974,1914.48,TXN-54206477\r\n11c778fd-d168-42bc-a1ce-d773dfedc804,\"[{\"\"sku\"\": \"\"SKU-21722\"\", \"\"qty\"\": 1, \"\"price\"\": 480.74}, {\"\"sku\"\": \"\"SKU-59910\"\", \"\"qty\"\": 1, \"\"price\"\": 339.81}, {\",credit_card,507.4,5.04,2026-01-07T13:51:25.622008,264.18,TXN-31515746\r\n03826a18-809e-44c2-93c8-9bc15374fc0c,\"[{\"\"sku\"\": \"\"SKU-19075\"\", \"\"qty\"\": 4, \"\"price\"\": 319.47}, {\"\"sku\"\": \"\"SKU-18268\"\", \"\"qty\"\": 1, \"\"price\"\": 67.12}, {\"\"\",credit_card,455.63,77.85,2026-01-07T13:51:25.622052,1810.41,TXN-80826527\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5570\"\ncode = \"ZMD258\"\ntitle = \"Mandatory leadingedge superstructure 101\"\ninstructor = \"Gregory Dunn\"\ncredits = 3\nterm = \"Spring 2021\"\n[[schedule]]\nweek = 1\ntopic = \"guess\"\n\n[[schedule]]\nweek = 2\ntopic = \"forget\"\n\n[[schedule]]\nweek = 3\ntopic = \"technology\"\n\n[[schedule]]\nweek = 4\ntopic = \"nothing\"\n\n[[schedule]]\nweek = 5\ntopic = \"sea\"\n\n[[schedule]]\nweek = 6\ntopic = \"other\"\n\n[[schedule]]\nweek = 7\ntopic = \"new\"\n\n[[schedule]]\nweek = 8\ntopic = \"report\"\n\n[[schedule]]\nweek = 9\ntopic = \"guy\"\n\n[[schedule]]\nweek = 10\ntopic = \"can\"\n\n[[schedule]]\nweek = 11\ntopic = \"inside\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\narticle_id: ART-5347545\nheadline: Triple-buffered zero administration algorithm\nauthor: Martha Brown\npublished: '2026-01-05T16:28:34.342789'\nsection: Sports\ncontent: 'Have fall sing then fast research break. Bar ready eye medical school might\n  recognize. Nice sometimes impact point white.\n\n  Take many this never ever trip. Specific call according. We argue person federal\n  central each.'\ntags:\n- line\n- 'true'\n- compare\n- for\nviews: 96946\nshares: 1479\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-5347545</article_id>\n<headline>Triple-buffered zero administration algorithm</headline>\n<author>Martha Brown</author>\n<published>2026-01-05T16:28:34.342789</published>\n<section>Sports</section>\n<content>Have fall sing then fast research break. Bar ready eye medical school might recognize. Nice sometimes impact point white.\nTake many this never ever trip. Specific call according. We argue person federal central each.</content>\n<tags>line</tags>\n<tags>true</tags>\n<tags>compare</tags>\n<tags>for</tags>\n<views>96946</views>\n<shares>1479</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"period\": \"November 2021\",\n  \"total_revenue\": 8992427,\n  \"units_sold\": 30636,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3169564,\n      \"growth\": 42.35\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 2683860,\n      \"growth\": 36.55\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9614\",\n      \"sales\": 412171\n    },\n    {\n      \"sku\": \"SKU-7573\",\n      \"sales\": 203488\n    },\n    {\n      \"sku\": \"SKU-4372\",\n      \"sales\": 55896\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>November 2021</period>\n<total_revenue>8992427</total_revenue>\n<units_sold>30636</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3169564</revenue>\n<growth>42.35</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>2683860</revenue>\n<growth>36.55</growth>\n</channels>\n<top_products>\n<sku>SKU-9614</sku>\n<sales>412171</sales>\n</top_products>\n<top_products>\n<sku>SKU-7573</sku>\n<sales>203488</sales>\n</top_products>\n<top_products>\n<sku>SKU-4372</sku>\n<sales>55896</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7169\"\ncode = \"UPX251\"\ntitle = \"Grass-roots secondary product 101\"\ninstructor = \"Denise Higgins\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"someone\"\n\n[[schedule]]\nweek = 2\ntopic = \"public\"\n\n[[schedule]]\nweek = 3\ntopic = \"role\"\n\n[[schedule]]\nweek = 4\ntopic = \"certainly\"\n\n[[schedule]]\nweek = 5\ntopic = \"above\"\n\n[[schedule]]\nweek = 6\ntopic = \"film\"\n\n[[schedule]]\nweek = 7\ntopic = \"represent\"\n\n[[schedule]]\nweek = 8\ntopic = \"spring\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-15638187</txn_id>\n<customer_id>242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7</customer_id>\n<timestamp>2026-01-07T13:51:27.047573</timestamp>\n<items>\n<sku>SKU-16950</sku>\n<qty>3</qty>\n<price>120.22</price>\n</items>\n<items>\n<sku>SKU-76122</sku>\n<qty>1</qty>\n<price>377.76</price>\n</items>\n<items>\n<sku>SKU-41194</sku>\n<qty>3</qty>\n<price>254.19</price>\n</items>\n<items>\n<sku>SKU-75246</sku>\n<qty>2</qty>\n<price>418.85</price>\n</items>\n<subtotal>1338.06</subtotal>\n<tax>172.92</tax>\n<total>2048.81</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-883806,observational,32,200,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 15.64, \"\"endpoint\"\": 83.3, \"\"p_value\"\": 0.4248}, {\"\"metric\"\": \"\"efficac\",Effect of there on wife\r\nsignificant,EXP-475821,cohort,203,755,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 78.96, \"\"endpoint\"\": 61.39, \"\"p_value\"\": 0.4815}, {\"\"metric\"\": \"\"efficacy\",Effect of increase on structure\r\nnon-significant,EXP-917458,observational,212,975,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 66.26, \"\"endpoint\"\": 49.08, \"\"p_value\"\": 0.1902}, {\"\"metric\"\": \"\"safety\"\",\",Effect of charge on represent\r\nsignificant,EXP-289492,RCT,158,437,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 15.86, \"\"endpoint\"\": 90.6, \"\"p_value\"\": 0.4404}, {\"\"metric\"\": \"\"efficac\",Effect of area on science\r\nnon-significant,EXP-182998,observational,161,872,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 34.51, \"\"endpoint\"\": 67.83, \"\"p_value\"\": 0.2778}, {\"\"metric\"\": \"\"safety\",Effect of everybody on news\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Gutierrez Inc\nticker: SEWA\nquarter: Q3 2022\nrevenue: 13510189\nexpenses: 4451883\nnet_income: 9920815\neps: 9.2\nmetrics:\n  profit_margin: 19.12\n  roe: 12.89\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Horizontal interactive project API\n  version: 1.0.0\npaths:\n  /base:\n    get:\n      summary: Management send father actually special image.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this XML data into YAML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Thompson, Yang and Roberts</company>\n<ticker>ATOM</ticker>\n<quarter>Q1 2022</quarter>\n<revenue>59725729</revenue>\n<expenses>36274579</expenses>\n<net_income>7802792</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>17.46</profit_margin>\n<roe>22.69</roe>\n</metrics>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany: Thompson, Yang and Roberts\nticker: ATOM\nquarter: Q1 2022\nrevenue: 59725729\nexpenses: 36274579\nnet_income: 7802792\neps: 8.84\nmetrics:\n  profit_margin: 17.46\n  roe: 22.69\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"product_id\": \"PROD-421885\",\n  \"name\": \"Diverse 6thgeneration solution\",\n  \"category\": \"books\",\n  \"price\": 48.12,\n  \"currency\": \"USD\",\n  \"stock\": 460,\n  \"is_available\": true,\n  \"rating\": 3.7,\n  \"reviews\": 717,\n  \"specs\": {\n    \"weight_kg\": 20.82,\n    \"dimensions\": \"87x57x81cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-421885</product_id>\n<name>Diverse 6thgeneration solution</name>\n<category>books</category>\n<price>48.12</price>\n<currency>USD</currency>\n<stock>460</stock>\n<is_available>True</is_available>\n<rating>3.7</rating>\n<reviews>717</reviews>\n<specs>\n<weight_kg>20.82</weight_kg>\n<dimensions>87x57x81cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nservice = \"findService\"\nstack_trace = [ \"at watch.py:197\", \"at body.py:298\", \"at girl.py:392\", \"at red.py:350\",]\nlevel = \"ERROR\"\nmessage = \"Head then too threat drive.\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output transaction record as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-60159725\"\ncustomer_id = \"13707a49-23b0-4133-8216-7e83986c9575\"\ntimestamp = \"2026-01-07T13:51:27.689251\"\nsubtotal = 1914.1\ntax = 175.88\ntotal = 1360.6\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-82899\"\nqty = 5\nprice = 298.29\n\n[[items]]\nsku = \"SKU-51515\"\nqty = 4\nprice = 343.78\n\n[[items]]\nsku = \"SKU-53336\"\nqty = 3\nprice = 488.21\n\n[[items]]\nsku = \"SKU-52517\"\nqty = 2\nprice = 291.79\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-4036732\",\n  \"patient\": {\n    \"mrn\": \"MRN-366942\",\n    \"age\": 79,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-06\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"102/96\",\n    \"hr\": 61,\n    \"temp_f\": 97.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"K52\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-791864</product_id>\n<name>Decentralized heuristic migration</name>\n<category>books</category>\n<price>124.58</price>\n<currency>USD</currency>\n<stock>601</stock>\n<is_available>True</is_available>\n<rating>3.59</rating>\n<reviews>538</reviews>\n<specs>\n<weight_kg>9.83</weight_kg>\n<dimensions>30x16x25cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-791864\",\n  \"name\": \"Decentralized heuristic migration\",\n  \"category\": \"books\",\n  \"price\": 124.58,\n  \"currency\": \"USD\",\n  \"stock\": 601,\n  \"is_available\": true,\n  \"rating\": 3.59,\n  \"reviews\": 538,\n  \"specs\": {\n    \"weight_kg\": 9.83,\n    \"dimensions\": \"30x16x25cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J60\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K69\"\"}, {\"\"problem\"\": \"\"hype\",fever,2026-01-06,CN-8348908,84,F,MRN-109351,157/81,101,97.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K33\"\"}]\",fever,2026-01-06,CN-6922777,55,M,MRN-891432,166/71,87,98.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I10\"\"}]\",headache,2026-01-01,CN-5739175,90,F,MRN-779126,115/69,105,99.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I83\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J47\"\"}]\",headache,2026-01-02,CN-3133028,74,F,MRN-838873,143/96,120,99.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I78\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J31\"\"}]\",fever,2026-01-06,CN-9471857,69,M,MRN-459579,106/89,98,99.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Assimilated neutral archive API\"\nversion = \"1.0.0\"\n\n[paths.\"/sea\".get]\nsummary = \"Team happen challenge address expert manage beyond\"\n[[paths.\"/sea\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/sea\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/sea\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/sea\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/sea\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.67502\ntitle: Decentralized zero-defect hardware\nauthors:\n- name: Jonathan Maldonado\n  affiliation: Miles-Strickland\n  email: glennschaefer@example.com\n- name: Tina Davis\n  affiliation: Simmons, King and Cooper\n  email: matthew39@example.org\n- name: Todd Jones\n  affiliation: Page, Williams and Miller\n  email: richardjohnson@example.com\nabstract: Another just all lose phone response. Language argue in expect how.\nkeywords:\n- then\n- two\n- interview\npublication:\n  venue: Nature\n  year: 2022\n  doi: 10.9816/ObNW\ncitations: 306\nfunding_source: Hamilton, Jones and Mullen\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4147239, \"\"growth\"\": 40.37}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 2663137, \",,,,,February 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-2538\"\", \"\"sales\"\": 420940}, {\"\"sku\"\": \"\"SKU-8680\"\", \"\"sales\"\": 364206}, {\"\"sku\"\": \"\"SKU-2062\"\", \"\"sa\",6033804,27183\r\nSource dog laugh thank thus security back by. Answer nice TV so moment pick.,\"[{\"\"name\"\": \"\"Daniel Gonzalez\"\", \"\"affiliation\"\": \"\"Johnson, Page and Williams\"\", \"\"email\"\": \"\"aescobar@example\",,163,Reed Ltd,\"[\"\"cultural\"\", \"\"professional\"\", \"\"leg\"\", \"\"television\"\"]\",arXiv:2024.94297,,10.4152/nJPh,Nature,2023,Networked 5thgeneration database,,,\r\nThought image yes room. Forward member majority either require specific media late. Wrong blood near,\"[{\"\"name\"\": \"\"David Higgins\"\", \"\"affiliation\"\": \"\"Berry, Ramirez and Hopkins\"\", \"\"email\"\": \"\"evansrobert@exampl\",,266,None,\"[\"\"start\"\", \"\"ground\"\", \"\"form\"\", \"\"support\"\", \"\"often\"\"]\",arXiv:2020.76427,,10.7365/ptuE,Science,2021,Grass-roots tertiary data-warehouse,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nGarcia Inc,3.32,35136318,23.23,5.77,9244096,Q4 2020,75648474,UWPD\r\n\"Willis, Thompson and Taylor\",8.68,1261951,23.1,12.3,9708028,Q4 2023,97939966,BJXJ\r\n\"Martinez, Hernandez and Nelson\",6.28,48660835,29.56,11.33,321157,Q4 2024,31361855,XKQS\r\nJackson-Johnson,9.0,13860472,6.26,15.23,6903393,Q2 2021,15168891,FPDU\r\nCunningham Ltd,7.6,16938835,23.1,15.03,691903,Q2 2024,10789906,SKAK\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need social media post details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Day time foot message thousand weight around.\nRecognize guess personal too including spring occur. S\",25,6646,980,\"[\"\"#share\"\", \"\"#police\"\"]\",twitter,POST-56711681,2026-01-06T09:43:30.708908,ef2679b7-f494-4eda-a8ea-91f496e62604,cathy57\r\n\"Ask team draw begin. Sister north growth address.\nPhysical represent drug business budget similar in\",163,2549,260,\"[\"\"#only\"\", \"\"#to\"\", \"\"#machine\"\"]\",instagram,POST-13462303,2026-01-06T09:43:30.713411,9beb2e5f-1e18-438c-95cb-50c324b597fc,reginaadams\r\nMother technology bank he point go. Even off gas themselves. Rate economic health traditional half c,153,8201,495,\"[\"\"#from\"\", \"\"#class\"\", \"\"#shake\"\", \"\"#teach\"\"]\",facebook,POST-82283425,2026-01-06T09:43:30.718293,9c949b42-0986-4259-8903-82b3a17600ad,anthonybowman\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-4681975\nproduct_id: PROD-768403\nuser_id: 3f0f9324-bc74-4925-a6a4-e50c3d32e649\nrating: 1\ntitle: That issue compare west always.\ncontent: Along produce soldier sing herself. Recognize my see alone. Drug dark paper\n  interesting civil describe perhaps.\ndate: '2026-01-05'\nverified_purchase: false\nhelpful_votes: 44\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need course syllabus details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nGFU377,CRS-8275,3,40,30,30,Ann York,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"would\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"important\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"support\"\"}, \",Spring 2024,Quality-focused eco-centric contingency 101\r\nQCC350,CRS-4958,4,40,30,30,Timothy Oliver,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"treatment\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"million\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"figure\"\"},\",Spring 2021,Networked national contingency 101\r\nMOZ450,CRS-2491,3,40,30,30,Nicole Murphy,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"fight\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"beyond\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"civil\"\"}, {\"\"wee\",Spring 2024,Visionary context-sensitive Graphical User Interface 101\r\nERD363,CRS-5369,3,40,30,30,Ryan Chapman,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"player\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"program\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"beautiful\"\"},\",Fall 2020,Organized asynchronous forecast 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following CSV to YAML:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-919818,,\"[{\"\"name\"\": \"\"Riggs, Carey and Rojas\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mcdowell-Koch\"\", \"\"role\"\": \"\"party_b\"\"}\",active,18,911148\r\nCTR-152138,2026-01-03,\"[{\"\"name\"\": \"\"Harris-Clay\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Turner LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,40,677618\r\nCTR-755246,2026-01-01,\"[{\"\"name\"\": \"\"Lewis LLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Aguilar Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,45,400510\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from CSV to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nvalue: 911148\ncontract_id: CTR-919818\nparties:\n- name: Riggs, Carey and Rojas\n  role: party_a\n- name: Mcdowell-Koch\n  role: party_b\nstatus: active\nterm_months: 18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1823437,Anna Ortiz,\"Success off activity him process hot whose pay. Most probably including at arm avoid media finally.\n\",Integrated content-based throughput,2026-01-05T06:32:59.977242,Politics,3070,\"[\"\"base\"\", \"\"fight\"\", \"\"test\"\"]\",75522\r\nART-7726821,Devin Davis,Kind feel community southern guy figure. Model I commercial hold dog. Meeting student up care nor yo,Focused 24hour data-warehouse,2026-01-04T08:55:25.202540,Tech,1143,\"[\"\"administration\"\", \"\"over\"\", \"\"wear\"\", \"\"notice\"\"]\",68951\r\nART-7786819,Jeffery Allen,Matter simply might Democrat. Treat food protect bit. Newspaper worry generation way might purpose p,Advanced fresh-thinking migration,2026-01-04T01:22:06.456435,Tech,1698,\"[\"\"personal\"\", \"\"edge\"\", \"\"director\"\"]\",13606\r\nART-3636890,Jessica Estrada,\"Board forget read western. Late change tree follow keep analysis.\nPrevent begin add market scientist\",Visionary hybrid analyzer,2026-01-04T04:35:25.267941,Sports,830,\"[\"\"hope\"\", \"\"American\"\", \"\"through\"\", \"\"consumer\"\"]\",67881\r\nART-1015403,Kelly Dawson,When write down ground they dark under class. Fight lay enter effort author go just. Not very probab,Synergized modular Graphical User Interface,2026-01-02T01:34:47.009501,Tech,640,\"[\"\"magazine\"\", \"\"heart\"\", \"\"minute\"\", \"\"whose\"\"]\",89829\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-544771\nparties:\n- name: Prince-Finley\n  role: party_a\n- name: Stone LLC\n  role: party_b\neffective_date: '2026-01-02'\nterm_months: 52\nvalue: 394049\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate product listing data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-852387\"\nname = \"Profound logistical array\"\ncategory = \"electronics\"\nprice = 299.46\ncurrency = \"USD\"\nstock = 505\nis_available = true\nrating = 2.95\nreviews = 519\n\n[specs]\nweight_kg = 6.22\ndimensions = \"16x47x36cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nsection: Politics\ntags:\n- machine\n- fund\n- station\n- our\npublished: '2026-01-05T17:58:55.100855'\nviews: 86295\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-419424\nstudent_id: STU-869858\ncourse_id: CRS-2495\ntype: quiz\ndate: '2026-01-02'\nscores:\n- question: 1\n  points_earned: 2\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 2\n  points_possible: 10\n- question: 4\n  points_earned: 10\n  points_possible: 10\n- question: 5\n  points_earned: 0\n  points_possible: 10\n- question: 6\n  points_earned: 10\n  points_possible: 10\n- question: 7\n  points_earned: 3\n  points_possible: 10\n- question: 8\n  points_earned: 8\n  points_possible: 10\n- question: 9\n  points_earned: 8\n  points_possible: 10\n- question: 10\n  points_earned: 3\n  points_possible: 10\n- question: 11\n  points_earned: 0\n  points_possible: 10\ntotal_score: 88\npercentage: 58.64\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: ff91c212-6cce-4ac2-978d-0740381882de\ntimestamp: '2026-01-07T13:51:27.679071'\nlevel: WARNING\nservice: drawService\nmessage: Support red list product forget cut speak.\nstack_trace:\n- at girl.py:186\n- at hold.py:186\ncontext:\n  user_id: 473e683b-291e-461f-b848-d224b7dcbd8b\n  request_id: 454a35ad-23ee-42a8-9d57-dbf5cedbef74\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Optimized high-level initiative API\n  version: 1.0.0\npaths:\n  /soon:\n    get:\n      summary: Use reduce once record measure note entire.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>May 2020</period>\n<total_revenue>9864225</total_revenue>\n<units_sold>74086</units_sold>\n<channels>\n<name>online</name>\n<revenue>906832</revenue>\n<growth>-8.93</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>2437365</revenue>\n<growth>2.73</growth>\n</channels>\n<top_products>\n<sku>SKU-7032</sku>\n<sales>420063</sales>\n</top_products>\n<top_products>\n<sku>SKU-9360</sku>\n<sales>149398</sales>\n</top_products>\n<top_products>\n<sku>SKU-9440</sku>\n<sales>105905</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"May 2020\",\n  \"total_revenue\": 9864225,\n  \"units_sold\": 74086,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 906832,\n      \"growth\": -8.93\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2437365,\n      \"growth\": 2.73\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7032\",\n      \"sales\": 420063\n    },\n    {\n      \"sku\": \"SKU-9360\",\n      \"sales\": 149398\n    },\n    {\n      \"sku\": \"SKU-9440\",\n      \"sales\": 105905\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2022</period>\n<total_revenue>6033804</total_revenue>\n<units_sold>27183</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>4147239</revenue>\n<growth>40.37</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>2663137</revenue>\n<growth>9.96</growth>\n</channels>\n<top_products>\n<sku>SKU-2538</sku>\n<sales>420940</sales>\n</top_products>\n<top_products>\n<sku>SKU-8680</sku>\n<sales>364206</sales>\n</top_products>\n<top_products>\n<sku>SKU-2062</sku>\n<sales>350623</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2022\",\n  \"total_revenue\": 6033804,\n  \"units_sold\": 27183,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4147239,\n      \"growth\": 40.37\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2663137,\n      \"growth\": 9.96\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2538\",\n      \"sales\": 420940\n    },\n    {\n      \"sku\": \"SKU-8680\",\n      \"sales\": 364206\n    },\n    {\n      \"sku\": \"SKU-2062\",\n      \"sales\": 350623\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-01,CMP,MRN-808236,LAB-2516539,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 81.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\":\"\r\n2026-01-03,CBC,MRN-555737,LAB-3716666,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 179.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": \"\r\n2026-01-05,CBC,MRN-411511,LAB-9893465,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 136.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 79.6, \"\r\n2026-01-04,Lipid,MRN-278952,LAB-3239106,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 119.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 1\"\r\n2026-01-02,CMP,MRN-820412,LAB-6572564,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 110.3, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 58.4,\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"assessment_id\": \"ASMT-948175\",\n  \"student_id\": \"STU-160858\",\n  \"course_id\": \"CRS-5368\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 89,\n  \"percentage\": 96.29,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-948175</assessment_id>\n<student_id>STU-160858</student_id>\n<course_id>CRS-5368</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>89</total_score>\n<percentage>96.29</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4493327\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I32\"\n\n[patient]\nmrn = \"MRN-934301\"\nage = 62\ngender = \"F\"\n\n[vitals]\nbp = \"141/91\"\nhr = 100\ntemp_f = 98.5\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"customer_id\": \"5642be10-2f96-4bf3-93bb-ea73b498db7e\",\n  \"timestamp\": \"2026-01-07T13:51:27.704310\",\n  \"total\": 2159.3,\n  \"tax\": 150.65,\n  \"items\": [\n    {\n      \"sku\": \"SKU-21107\",\n      \"qty\": 2,\n      \"price\": 436.86\n    },\n    {\n      \"sku\": \"SKU-34269\",\n      \"qty\": 3,\n      \"price\": 260.71\n    },\n    {\n      \"sku\": \"SKU-81249\",\n      \"qty\": 3,\n      \"price\": 416.92\n    },\n    {\n      \"sku\": \"SKU-97216\",\n      \"qty\": 3,\n      \"price\": 177.96\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-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.\n\n  Arm test ok green. Likely card reality school stop something those.\n\n  Your spend discuss yeah hear. Same language box us magazine simple.'\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 22\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Reactive exuding frame API\n  version: 1.0.0\npaths:\n  /second:\n    get:\n      summary: Life century work throughout however miss another.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need prescription details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-920362,Gabriel Johnson,RX-6683434\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastat\",MRN-792408,Christopher Hill,RX-8302804\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-755050,Debra Wilkins,RX-2921919\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\"\"\",MRN-235351,Jared Reed DVM,RX-2808337\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-717275,Matthew Gonzalez,RX-6649705\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-856861,RCT,225,440,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 28.11, \"\"endpoint\"\": 88.5, \"\"p_value\"\": 0.1314}, {\"\"metric\"\": \"\"safety\"\", \",Effect of human on mind\r\nsignificant,EXP-686996,RCT,341,500,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 96.65, \"\"endpoint\"\": 50.44, \"\"p_value\"\": 0.1965}, {\"\"metric\"\": \"\"safety\"\",\",Effect of sport on toward\r\nsignificant,EXP-608043,cohort,101,311,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 23.71, \"\"endpoint\"\": 53.14, \"\"p_value\"\": 0.3617}, {\"\"metric\"\": \"\"safety\",Effect of usually on born\r\nsignificant,EXP-895670,observational,277,353,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 77.67, \"\"endpoint\"\": 82.02, \"\"p_value\"\": 0.3697}, {\"\"metric\"\": \"\"safety\",Effect of worry on most\r\nsignificant,EXP-310426,RCT,346,863,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 32.54, \"\"endpoint\"\": 23.7, \"\"p_value\"\": 0.1309}, {\"\"metric\"\": \"\"efficac\",Effect of rate on economic\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-5336793\",\n  \"patient_mrn\": \"MRN-644295\",\n  \"prescriber\": \"Thomas Ponce\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need research paper details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.73595\ntitle: De-engineered user-facing ability\nauthors:\n- name: Thomas Brown\n  affiliation: Ramos PLC\n  email: betty71@example.org\n- name: Amanda Mitchell\n  affiliation: Romero Inc\n  email: onealerika@example.net\n- name: Marcus Long\n  affiliation: Ortega-Jackson\n  email: williamvaughn@example.com\nabstract: 'Home unit sea lead.\n\n  Wide interview thank prevent drug company share. Be save protect factor wrong little\n  majority consumer.'\nkeywords:\n- trouble\n- page\n- marriage\n- city\n- professor\npublication:\n  venue: Science\n  year: 2022\n  doi: 10.8822/zXsG\ncitations: 487\nfunding_source: Wilson-Miller\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nopenapi: 3.0.0\ninfo:\n  title: Intuitive disintermediate website API\n  version: 1.0.0\npaths:\n  /reality:\n    get:\n      summary: Activity public whole paper there relationship tas\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/reality_get_parameters,paths_/reality_get_responses_200_description,paths_/reality_get_responses_400_description,paths_/reality_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Intuitive disintermediate website API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Activity public whole paper there relationship tas,,,,\r\nEffect attack before plan human lose. College military not news. Fill understand fine season.,\"[{\"\"name\"\": \"\"Martin Page\"\", \"\"affiliation\"\": \"\"Lucas, Gibson and Scott\"\", \"\"email\"\": \"\"brownalan@example.com\"\"}\",161,None,,,\"[\"\"miss\"\", \"\"reality\"\", \"\"his\"\", \"\"should\"\", \"\"time\"\"]\",,arXiv:2021.11331,,,,,10.9181/FRnB,Science,2020,Versatile foreground hardware\r\n\"Hand property fear may summer arrive. Trip recent apply condition laugh.\nSeason religious seat. Inve\",\"[{\"\"name\"\": \"\"Steven Reed\"\", \"\"affiliation\"\": \"\"George-Schmidt\"\", \"\"email\"\": \"\"tmartinez@example.org\"\"}, {\"\"name\"\"\",417,Palmer Group,,,\"[\"\"field\"\", \"\"any\"\", \"\"sit\"\", \"\"same\"\", \"\"hospital\"\"]\",,arXiv:2024.81224,,,,,10.7687/iSLd,Science,2022,Inverse maximized throughput\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-879460\nstudent_id: STU-948921\ncourse_id: CRS-8763\ntype: quiz\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 4\n  points_possible: 10\n- question: 3\n  points_earned: 7\n  points_possible: 10\n- question: 4\n  points_earned: 3\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 2\n  points_possible: 10\n- question: 7\n  points_earned: 6\n  points_possible: 10\n- question: 8\n  points_earned: 9\n  points_possible: 10\ntotal_score: 83\npercentage: 96.07\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"October 2022\",\n  \"total_revenue\": 4790876,\n  \"units_sold\": 72609,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1112533,\n      \"growth\": 2.85\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3150615,\n      \"growth\": -3.34\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-7795\",\n      \"sales\": 492045\n    },\n    {\n      \"sku\": \"SKU-5231\",\n      \"sales\": 195976\n    },\n    {\n      \"sku\": \"SKU-5539\",\n      \"sales\": 335045\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nMoore-Thompson,9.88,43130054,22.03,10.54,18329728,Q2 2022,73324772,XFVE\r\n\"Mitchell, Hill and Snyder\",2.11,62228330,27.98,6.91,15794806,Q1 2023,33373636,ZJPQ\r\nBlack-Lee,4.6,6806668,28.92,9.57,15521739,Q3 2022,4159375,POVF\r\n\"Moore, Jackson and Clark\",5.4,19651312,27.9,7.54,15441171,Q3 2022,72468776,EYIF\r\nDaniels Group,3.98,45295567,10.11,14.31,15253374,Q2 2022,27807708,DVIK\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,metrics_profit_margin,metrics_roe,paper_id,publication_doi,publication_venue,publication_year,quarter,revenue,title\r\n,,,,,25.46,20.6,,,,,Q1 2021,81140617,\r\n\"Responsibility try hold issue value.\nBag clearly seven star. At tough soon.\",\"[{\"\"name\"\": \"\"Johnny Zimmerman\"\", \"\"affiliation\"\": \"\"Gregory-Wong\"\", \"\"email\"\": \"\"annettemcclure@example.org\"\"},\",342,None,\"[\"\"sister\"\", \"\"worry\"\", \"\"glass\"\", \"\"lay\"\", \"\"total\"\"]\",,,arXiv:2020.87735,10.9314/BMva,Cell,2022,,,Cross-group 24hour hierarchy\r\nRecently food always pull open consider. Those several main exist hope friend.,\"[{\"\"name\"\": \"\"Matthew Hill\"\", \"\"affiliation\"\": \"\"Jenkins, Boyd and Arnold\"\", \"\"email\"\": \"\"georgejacqueline@exam\",20,None,\"[\"\"artist\"\", \"\"decade\"\", \"\"these\"\", \"\"former\"\", \"\"science\"\"]\",,,arXiv:2023.41102,10.1708/sXPD,Science,2024,,,Expanded object-oriented superstructure\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate clinical note data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2589578\npatient:\n  mrn: MRN-569575\n  age: 40\n  gender: F\nencounter_date: '2026-01-02'\nchief_complaint: headache\nvitals:\n  bp: 177/91\n  hr: 118\n  temp_f: 102.4\nassessment:\n- problem: diabetes\n  icd10: I49\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-1056021\"\npatient_mrn = \"MRN-977601\"\norder_date = \"2026-01-02\"\npanel = \"CMP\"\n[[results]]\ntest = \"WBC\"\nvalue = 124.0\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 114.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 70.6\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 119.6\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 171.0\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-475477\"\nstudent_id = \"STU-426309\"\ncourse_id = \"CRS-8131\"\ntype = \"assignment\"\ndate = \"2026-01-03\"\ntotal_score = 79\npercentage = 60.06\ngrade = \"C\"\n[[scores]]\nquestion = 1\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-86945311\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"b9da037c-f6cd-4ced-8c95-ca7562cf6118\",\n  \"username\": \"martinsteven\",\n  \"content\": \"Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.\",\n  \"timestamp\": \"2026-01-07T13:51:26.810240\",\n  \"hashtags\": [\n    \"#drop\",\n    \"#consider\",\n    \"#nature\",\n    \"#all\"\n  ],\n  \"engagement\": {\n    \"likes\": 3344,\n    \"shares\": 900,\n    \"comments\": 482\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-86945311</post_id>\n<platform>facebook</platform>\n<user_id>b9da037c-f6cd-4ced-8c95-ca7562cf6118</user_id>\n<username>martinsteven</username>\n<content>Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.</content>\n<timestamp>2026-01-07T13:51:26.810240</timestamp>\n<hashtags>#drop</hashtags>\n<hashtags>#consider</hashtags>\n<hashtags>#nature</hashtags>\n<hashtags>#all</hashtags>\n<engagement>\n<likes>3344</likes>\n<shares>900</shares>\n<comments>482</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-48552675\",\n  \"customer_id\": \"19d3d880-f410-4b85-a35d-9c5777705d1f\",\n  \"timestamp\": \"2026-01-07T13:51:26.837603\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-30306\",\n      \"qty\": 4,\n      \"price\": 206.74\n    }\n  ],\n  \"subtotal\": 1354.26,\n  \"tax\": 33.08,\n  \"total\": 766.28,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nrx_id: RX-1565761\npatient_mrn: MRN-226686\nprescriber: Regina Martin\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: TID\n  quantity: 60\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: BID\n  quantity: 90\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-1565761\"\npatient_mrn = \"MRN-226686\"\nprescriber = \"Regina Martin\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"BID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-3305496</rx_id>\n<patient_mrn>MRN-551064</patient_mrn>\n<prescriber>Eric Jackson</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-3305496\",\n  \"patient_mrn\": \"MRN-551064\",\n  \"prescriber\": \"Eric Jackson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"title\": \"Stand-alone empowering functionalities 101\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"class\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"leave\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"develop\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"style\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"again\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"man\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"list\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<title>Stand-alone empowering functionalities 101</title>\n<schedule>\n<week>1</week>\n<topic>class</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>leave</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>develop</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>style</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>again</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>man</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>list</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output prescription as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-8706225\",\n  \"patient_mrn\": \"MRN-970748\",\n  \"prescriber\": \"Brady Keller\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Might north politics.\nMoment bad without change physical store call. Enjoy question state student po\",18,9146,205,\"[\"\"#kid\"\", \"\"#off\"\", \"\"#school\"\", \"\"#fund\"\"]\",instagram,POST-86898750,2026-01-07T13:51:25.591017,a47ec401-ca4e-44b5-afc7-6c2b372f589e,dylan00\r\n\"Court enjoy light series new ask. Really reason visit far. Hour mean attorney necessary Congress.\nHa\",194,4813,303,\"[\"\"#picture\"\", \"\"#bag\"\", \"\"#spend\"\", \"\"#purpose\"\"]\",twitter,POST-48909369,2026-01-07T13:51:25.592414,33da6354-ad99-4c72-b589-1f6513d550aa,aaronschwartz\r\n\"Character modern last arrive. National rise actually ready thank.\nFar senior in. Condition happen ce\",434,2507,359,\"[\"\"#put\"\", \"\"#product\"\", \"\"#your\"\", \"\"#court\"\"]\",facebook,POST-81769728,2026-01-07T13:51:25.592760,b8906363-4b49-413b-9a2b-2ea303a2135c,qbennett\r\n\"Thus spend push among. American response may relationship particular these.\nBad night candidate key.\",425,3927,926,\"[\"\"#question\"\", \"\"#scene\"\"]\",twitter,POST-53283746,2026-01-07T13:51:25.593041,28328463-0c46-478d-a0cc-97d9ec90b90f,erin86\r\n\"Prevent nature moment animal. Woman pick end group.\nUpon rule able these agent. Push professor a its\",403,7742,2,\"[\"\"#rock\"\", \"\"#current\"\", \"\"#treatment\"\"]\",instagram,POST-81253092,2026-01-07T13:51:25.593520,cc87f2bb-8296-45b1-a66f-ff6063c8255a,myersnicole\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-291572,2026-01-03,\"[{\"\"name\"\": \"\"Smith and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Avila-Campbell\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,47,297446\r\nCTR-330674,2026-01-02,\"[{\"\"name\"\": \"\"Johnston, Brown and Mckee\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Wilson PLC\"\", \"\"role\"\": \"\"party_b\"\"}\",executed,27,255219\r\nCTR-717647,2026-01-01,\"[{\"\"name\"\": \"\"Brown-Garcia\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Rogers-Dyer\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,59,213240\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_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.\n\n  Join town travel agency value improve way. Heavy late science mind develop consider\n  ability.'\ntimestamp: '2026-01-07T13:51:26.676406'\nhashtags:\n- '#case'\n- '#along'\n- '#only'\n- '#have'\nengagement:\n  likes: 9942\n  shares: 119\n  comments: 368\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmethodology:\n  design: observational\n  sample_size: 932\n  duration_days: 253\nconclusion: non-significant\ntitle: Effect of put on cultural\nresults:\n- metric: efficacy\n  baseline: 31.81\n  endpoint: 94.75\n  p_value: 0.1765\n- metric: efficacy\n  baseline: 35.49\n  endpoint: 75.78\n  p_value: 0.2807\nexperiment_id: EXP-182591\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output course syllabus as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-2281\",\n  \"code\": \"NHA456\",\n  \"title\": \"Profit-focused mission-critical hardware 101\",\n  \"instructor\": \"Natalie Middleton\",\n  \"credits\": 3,\n  \"term\": \"Spring 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"its\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"attorney\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"decision\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"every\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"direction\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"player\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"city\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"everybody\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"throw\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this YAML data into CSV format:\npost_id: POST-19844803\nplatform: instagram\nuser_id: eee48898-e428-4685-b6ea-d0074f4ffb8a\nusername: pinedaryan\ncontent: 'Between past agree writer forget big. Simple glass protect job answer thank.\n\n  Government prepare rather agency hard. Fear director room future hospital.'\ntimestamp: '2026-01-07T13:51:25.753060'\nhashtags:\n- '#fast'\n- '#imagine'\n- '#carry'\nengagement:\n  likes: 1299\n  shares: 900\n  comments: 90\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Between past agree writer forget big. Simple glass protect job answer thank.\nGovernment prepare rath\",90,1299,900,\"[\"\"#fast\"\", \"\"#imagine\"\", \"\"#carry\"\"]\",instagram,POST-19844803,2026-01-07T13:51:25.753060,eee48898-e428-4685-b6ea-d0074f4ffb8a,pinedaryan\r\nColor money another hundred president give out difficult. Unit discuss grow while onto claim sport. ,165,2053,463,\"[\"\"#artist\"\", \"\"#decision\"\", \"\"#size\"\", \"\"#on\"\"]\",facebook,POST-86088458,2026-01-07T13:51:25.756474,e0f96fc3-67e6-4771-8ffd-5603c2ac63a3,travis52\r\nSmall do section sing agent financial forget four. We American wind central peace could option. Yeah,257,2869,40,\"[\"\"#someone\"\", \"\"#best\"\", \"\"#executive\"\"]\",twitter,POST-46497550,2026-01-07T13:51:25.756754,d99a3b7f-f5c9-4ccb-a80a-1e4197a3ce89,alexander13\r\nHigh lawyer thus loss player ability. Already mission cover control thus near study forward. Region ,192,3100,22,\"[\"\"#stay\"\", \"\"#sometimes\"\"]\",facebook,POST-76246543,2026-01-07T13:51:25.757011,051b5f55-1174-4164-a801-fb31bfb33391,catherine10\r\nWonder argue work computer professional ask. Card skin wind behind. Must involve follow reality imag,73,169,149,\"[\"\"#magazine\"\", \"\"#official\"\", \"\"#image\"\"]\",twitter,POST-59798593,2026-01-07T13:51:25.757378,39c30ce3-ba3b-4c1b-ac3b-a04e8464e672,youngkurt\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Thompson LLC</company>\n<ticker>QQLN</ticker>\n<quarter>Q2 2020</quarter>\n<revenue>63838743</revenue>\n<expenses>967762</expenses>\n<net_income>16633381</net_income>\n<eps>0.69</eps>\n<metrics>\n<profit_margin>22.56</profit_margin>\n<roe>23.58</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-221554,2026-01-03,\"[{\"\"name\"\": \"\"Terry, Mitchell and Garcia\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Long, Oconnell and Doyle\"\", \"\"ro\",pending,49,353725\r\nCTR-147787,2026-01-05,\"[{\"\"name\"\": \"\"Brock-Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Perry and Sons\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,43,526677\r\nCTR-213296,2026-01-01,\"[{\"\"name\"\": \"\"Rojas PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Alvarez, Simpson and James\"\", \"\"role\"\": \"\"party_b\"\"}\",executed,21,866099\r\nCTR-521515,2026-01-03,\"[{\"\"name\"\": \"\"Wall-Valdez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Park Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,31,980828\r\nCTR-881320,2026-01-03,\"[{\"\"name\"\": \"\"Doyle-Smith\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Perez Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,45,652449\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-95106885\ncustomer_id: 9090a0a6-3421-4a93-9d6e-78b6a1f8fed7\ntimestamp: '2026-01-07T13:51:27.692524'\nitems:\n- sku: SKU-33525\n  qty: 3\n  price: 130.6\nsubtotal: 793.41\ntax: 85.16\ntotal: 1645.24\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output contract as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-143990,2026-01-02,\"[{\"\"name\"\": \"\"Brady Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gonzalez, Coleman and Sanchez\"\", \"\"role\"\": \"\"party_\",active,32,452000\r\nCTR-827202,2026-01-03,\"[{\"\"name\"\": \"\"Jackson, Holt and Rodgers\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gibson Group\"\", \"\"role\"\": \"\"party_b\",active,59,316482\r\nCTR-668755,2026-01-02,\"[{\"\"name\"\": \"\"Wong-Hernandez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Woodard PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,52,912134\r\nCTR-826226,2026-01-06,\"[{\"\"name\"\": \"\"Foster and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Bond-Gonzalez\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,23,983429\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.86983\"\ntitle = \"Reverse-engineered national Graphical User Interface\"\nabstract = \"Sure finally site who truth. Close stop when low. Check news mother democratic.\"\nkeywords = [ \"old\", \"indeed\", \"general\", \"claim\", \"every\",]\ncitations = 221\n[[authors]]\nname = \"Wesley Murphy\"\naffiliation = \"Nunez, Meyer and Snow\"\nemail = \"nina74@example.net\"\n\n[[authors]]\nname = \"Richard Morgan\"\naffiliation = \"Hall-Jones\"\nemail = \"justin85@example.org\"\n\n[[authors]]\nname = \"Anthony Johnson\"\naffiliation = \"Kelley-Murphy\"\nemail = \"srichmond@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2024\ndoi = \"10.2539/QMDE\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.93852\"\ntitle = \"Reactive solution-oriented circuit\"\nabstract = \"Law fund huge better or. Federal forward north law. Work available call never.\\nCarry cultural day front resource write. Southern white pattern fear.\"\nkeywords = [ \"wind\", \"wife\", \"report\", \"financial\",]\ncitations = 45\n[[authors]]\nname = \"Jennifer Gray\"\naffiliation = \"Bryant, Lewis and Wells\"\nemail = \"spalmer@example.com\"\n\n[[authors]]\nname = \"David Brown\"\naffiliation = \"Cortez, Cook and Ross\"\nemail = \"melvin21@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.1277/DPuH\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"review_id\": \"REV-4787173\",\n  \"product_id\": \"PROD-746934\",\n  \"user_id\": \"a1638e54-91af-4e5f-be10-465327f3fbf6\",\n  \"rating\": 4,\n  \"title\": \"Rock company surface either million.\",\n  \"content\": \"Suddenly plant stay thank project hand me. Commercial his road carry training trip.\",\n  \"date\": \"2026-01-02\",\n  \"verified_purchase\": true,\n  \"helpful_votes\": 3\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-4787173</review_id>\n<product_id>PROD-746934</product_id>\n<user_id>a1638e54-91af-4e5f-be10-465327f3fbf6</user_id>\n<rating>4</rating>\n<title>Rock company surface either million.</title>\n<content>Suddenly plant stay thank project hand me. Commercial his road carry training trip.</content>\n<date>2026-01-02</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>3</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>19a033e5-3ad7-4877-8a96-e38503174031</error_id>\n<timestamp>2026-01-07T13:51:26.139508</timestamp>\n<level>ERROR</level>\n<service>offService</service>\n<message>Light method real rich option.</message>\n<stack_trace>at very.py:253</stack_trace>\n<stack_trace>at piece.py:469</stack_trace>\n<stack_trace>at home.py:259</stack_trace>\n<context>\n<user_id>45de80c2-9a4d-4d83-abf9-651f235bf4e8</user_id>\n<request_id>53b4884a-375f-459c-a303-838dd3a8411e</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need lab result details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-02,CBC,MRN-301476,LAB-9340153,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 166.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 18\"\r\n2026-01-01,CMP,MRN-441719,LAB-7949351,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 85.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 175.\"\r\n2026-01-04,CBC,MRN-257852,LAB-5392987,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 193.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-05,CBC,MRN-116192,LAB-1834853,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 141.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-04,CBC,MRN-227110,LAB-7282231,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 57.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 172.4, \"\"uni\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle: Career hospital always money word day.\nhelpful_votes: 95\nreview_id: REV-5250684\nverified_purchase: false\ndate: '2026-01-01'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nspecs:\n  weight_kg: 41.33\n  dimensions: 19x24x69cm\nprice: 743.81\nis_available: true\nrating: 2.69\nstock: 485\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2023.57642\",\n  \"title\": \"Organized clear-thinking projection\",\n  \"authors\": [\n    {\n      \"name\": \"Thomas Harrison\",\n      \"affiliation\": \"Benjamin, Peterson and James\",\n      \"email\": \"martinjoseph@example.com\"\n    },\n    {\n      \"name\": \"Samantha Phillips\",\n      \"affiliation\": \"Carpenter Ltd\",\n      \"email\": \"hawkinssarah@example.com\"\n    }\n  ],\n  \"abstract\": \"Leg third those over. Almost state money hear condition little.\\nManager minute writer manager. Walk hand situation similar media back fill huge.\",\n  \"keywords\": [\n    \"decade\",\n    \"kitchen\",\n    \"discover\",\n    \"wide\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.5371/HWME\"\n  },\n  \"citations\": 306,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.57642</paper_id>\n<title>Organized clear-thinking projection</title>\n<authors>\n<name>Thomas Harrison</name>\n<affiliation>Benjamin, Peterson and James</affiliation>\n<email>martinjoseph@example.com</email>\n</authors>\n<authors>\n<name>Samantha Phillips</name>\n<affiliation>Carpenter Ltd</affiliation>\n<email>hawkinssarah@example.com</email>\n</authors>\n<abstract>Leg third those over. Almost state money hear condition little.\nManager minute writer manager. Walk hand situation similar media back fill huge.</abstract>\n<keywords>decade</keywords>\n<keywords>kitchen</keywords>\n<keywords>discover</keywords>\n<keywords>wide</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.5371/HWME</doi>\n</publication>\n<citations>306</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 941227, \"\"growth\"\": 26.4}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 937409, \"\"gr\",,,,,June 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-2900\"\", \"\"sales\"\": 81858}, {\"\"sku\"\": \"\"SKU-8266\"\", \"\"sales\"\": 123988}, {\"\"sku\"\": \"\"SKU-9969\"\", \"\"sal\",5319249,96009\r\nMay bag population minute them administration. Big high civil thing. Social green present question f,\"[{\"\"name\"\": \"\"David Ortiz\"\", \"\"affiliation\"\": \"\"Mcgee, Stephenson and Washington\"\", \"\"email\"\": \"\"swansondave@ex\",,175,None,\"[\"\"believe\"\", \"\"across\"\", \"\"international\"\"]\",arXiv:2023.75561,,10.2087/iVVH,Science,2024,Innovative multi-tasking website,,,\r\nLow exactly film develop toward benefit. Parent style father home treat high American push. Three an,\"[{\"\"name\"\": \"\"Luis Mcdaniel\"\", \"\"affiliation\"\": \"\"Avila, Fischer and Jensen\"\", \"\"email\"\": \"\"terrijackson@exampl\",,487,\"Edwards, Maynard and Allen\",\"[\"\"information\"\", \"\"individual\"\", \"\"test\"\"]\",arXiv:2023.43941,,10.2487/WpzL,Science,2022,Universal zero administration success,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 042db0a1-c9b1-49a9-9d69-5247a8c47159\ntimestamp: '2026-01-07T13:51:27.377057'\nlevel: ERROR\nservice: whomService\nmessage: Each reality trip red enough tough common.\nstack_trace:\n- at note.py:398\n- at purpose.py:452\n- at onto.py:106\n- at member.py:439\ncontext:\n  user_id: 70c0c786-0e43-42b2-8ec7-e975f39a71f7\n  request_id: 95ca942a-a33a-413f-b1a1-a21e12fa0f30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-69367106\",\n  \"platform\": \"twitter\",\n  \"user_id\": \"7643b70d-1c60-436f-974e-7bc6cee5e032\",\n  \"username\": \"gordonalexander\",\n  \"content\": \"See personal couple road president most next. Laugh teach lawyer character work present.\\nPage give education middle. Couple save view media instead police guy. Enough test notice capital size.\",\n  \"timestamp\": \"2026-01-07T13:51:25.991400\",\n  \"hashtags\": [\n    \"#PM\",\n    \"#stage\",\n    \"#government\"\n  ],\n  \"engagement\": {\n    \"likes\": 1911,\n    \"shares\": 761,\n    \"comments\": 62\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 2051641, \"\"growth\"\": 15.93}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 4340607, \",,,,,September 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-7798\"\", \"\"sales\"\": 367269}, {\"\"sku\"\": \"\"SKU-2105\"\", \"\"sales\"\": 291023}, {\"\"sku\"\": \"\"SKU-5730\"\", \"\"sa\",6726526,45392\r\nBag pull with paper quickly able. Where fill institution property able official.,\"[{\"\"name\"\": \"\"Jennifer Cunningham\"\", \"\"affiliation\"\": \"\"Ray Inc\"\", \"\"email\"\": \"\"woodsmichael@example.com\"\"}, {\"\"n\",,107,None,\"[\"\"conference\"\", \"\"Mrs\"\", \"\"accept\"\", \"\"apply\"\", \"\"close\"\"]\",arXiv:2024.86027,,10.7937/DCTR,Nature,2021,Stand-alone next generation moratorium,,,\r\nReflect attention magazine plan attention performance. Interest pretty dark assume.,\"[{\"\"name\"\": \"\"Michelle Odom\"\", \"\"affiliation\"\": \"\"Deleon Group\"\", \"\"email\"\": \"\"sgreene@example.net\"\"}, {\"\"name\"\": \",,218,\"Hamilton, Christian and Bartlett\",\"[\"\"sign\"\", \"\"war\"\", \"\"stage\"\"]\",arXiv:2021.34111,,10.2475/bBYg,Nature,2022,Open-architected incremental circuit,,,\r\n\"Center away water left technology all. Find foreign strong table. Big rise cultural before.\nIts crea\",\"[{\"\"name\"\": \"\"Luis Flores\"\", \"\"affiliation\"\": \"\"Faulkner LLC\"\", \"\"email\"\": \"\"crystalwashington@example.org\"\"}, {\",,174,Ponce Group,\"[\"\"summer\"\", \"\"room\"\", \"\"stop\"\"]\",arXiv:2023.11664,,10.7325/vSim,Science,2021,De-engineered solution-oriented Graphic Interface,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"April 2020\"\ntotal_revenue = 8124468\nunits_sold = 96397\n[[channels]]\nname = \"wholesale\"\nrevenue = 1049865\ngrowth = 9.08\n\n[[channels]]\nname = \"online\"\nrevenue = 4382695\ngrowth = 28.56\n\n[[top_products]]\nsku = \"SKU-1873\"\nsales = 257306\n\n[[top_products]]\nsku = \"SKU-4999\"\nsales = 343446\n\n[[top_products]]\nsku = \"SKU-6890\"\nsales = 153875\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-674224,Emily Herrera,RX-1995080\r\n2026-01-05,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\",MRN-764986,Deborah Massey,RX-5252523\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastatin\",MRN-498610,Stephanie Fleming,RX-9411892\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-993265,,CRS-9161,,2026-01-01,A,,,,,73.5,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 6, \"\"po\",STU-666988,,,74,exam\r\n,FNA194,CRS-6997,3,,,40,30,30,Stephen Yoder,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"call\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"ask\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"surface\"\"}, {\"\"week\"\"\",,,Fall 2024,Advanced actuating frame 101,,\r\n,IXU427,CRS-4827,3,,,40,30,30,Melissa Brown,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"whether\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"character\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"some\"\"}, {\",,,Fall 2021,Stand-alone multi-state budgetary management 101,,\r\n,QJD165,CRS-4693,4,,,40,30,30,Kyle Jordan,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"painting\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"his\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"main\"\"}, {\"\"week\",,,Spring 2024,Programmable dedicated success 101,,\r\n,WIP272,CRS-9626,4,,,40,30,30,Dustin Bell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"debate\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"look\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"in\"\"}, {\"\"week\"\": \",,,Fall 2022,Profound composite concept 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-1120026\"\npatient_mrn = \"MRN-824701\"\norder_date = \"2026-01-06\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 168.8\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 98.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 137.9\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 107.7\nunit = \"g/dL\"\nflag = \"low\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Young lot card leave book. Thank agency tree shake. Manage organization reduce from sort soldier.\nRu\",,2026-01-05,3,,,,PROD-908355,3,REV-7169946,,,,,Suffer kid daughter race still baby.,109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0,True\r\nbooks,,USD,,,True,Visionary grid-enabled conglomeration,51.48,PROD-867602,1.81,,805,92x21x35cm,36.35,357,,,\r\nclothing,,USD,,,True,Phased 24hour concept,47.66,PROD-942624,3.22,,761,24x51x47cm,13.73,327,,,\r\nbooks,,USD,,,True,Synergized asymmetric service-desk,657.59,PROD-282002,1.77,,708,94x86x69cm,7.54,795,,,\r\nclothing,,USD,,,True,Re-contextualized full-range algorithm,168.58,PROD-778066,4.84,,5,97x93x64cm,10.22,758,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need api specification details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Down-sized exuding Graphical User Interface API\n  version: 1.0.0\npaths:\n  /couple:\n    get:\n      summary: Into station different natural professor.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Snow, Shelton and Parsons\"\nticker = \"LYEH\"\nquarter = \"Q3 2022\"\nrevenue = 49988929\nexpenses = 3428077\nnet_income = 8543670\neps = 3.41\n\n[metrics]\nprofit_margin = 11.21\nroe = 5.99\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Re-engineered mobile superstructure API\n  version: 1.0.0\npaths:\n  /benefit:\n    get:\n      summary: Chair media space recognize doctor would second me\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"term_months\": 33,\n  \"parties\": [\n    {\n      \"name\": \"Hart-Villanueva\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Roberts Ltd\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-05\",\n  \"value\": 95653\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntitle = \"Effect of main on stand\"\nexperiment_id = \"EXP-681166\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"efficacy\"\nbaseline = 50.39\nendpoint = 61.09\np_value = 0.3936\n\n[[results]]\nmetric = \"safety\"\nbaseline = 99.02\nendpoint = 82.38\np_value = 0.0752\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 94.16\nendpoint = 58.56\np_value = 0.1239\n\n[[results]]\nmetric = \"safety\"\nbaseline = 41.74\nendpoint = 45.99\np_value = 0.0661\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 875\nduration_days = 212\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.67735\"\ntitle = \"Optimized even-keeled conglomeration\"\nabstract = \"Sort suffer stand purpose six resource. Forward hard officer film the word human first.\"\nkeywords = [ \"attack\", \"not\", \"describe\",]\ncitations = 172\nfunding_source = \"Wood, Baldwin and Cain\"\n[[authors]]\nname = \"Garrett Contreras\"\naffiliation = \"Drake-Dunn\"\nemail = \"sandrapineda@example.net\"\n\n[[authors]]\nname = \"Ryan Bell\"\naffiliation = \"Ramos, Gates and Reed\"\nemail = \"kdavis@example.net\"\n\n[[authors]]\nname = \"Cindy Silva\"\naffiliation = \"Bryant, Pratt and Henderson\"\nemail = \"fmiller@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2024\ndoi = \"10.7544/lKSL\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5790382</result_id>\n<patient_mrn>MRN-357903</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>56.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>114.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>154.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-5790382\",\n  \"patient_mrn\": \"MRN-357903\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 56.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 114.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 154.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-422317,,CRS-7308,,2026-01-01,B,,,,,83.59,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 3, \"\"po\",STU-280699,,,75,exam\r\n,MKW494,CRS-3575,3,,,40,30,30,Michael Young,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"head\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"quickly\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"see\"\"}, {\"\"week\"\"\",,,Fall 2020,Extended next generation neural-net 101,,\r\n,OXF127,CRS-9131,3,,,40,30,30,Dr. Gina Nash,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"prepare\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"organization\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"public\",,,Spring 2023,Object-based dedicated success 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Hardy-Nguyen</company>\n<ticker>ZAMS</ticker>\n<quarter>Q3 2024</quarter>\n<revenue>23201336</revenue>\n<expenses>30350118</expenses>\n<net_income>14673850</net_income>\n<eps>3.22</eps>\n<metrics>\n<profit_margin>18.82</profit_margin>\n<roe>21.21</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-1797\ncode: QAA477\ntitle: User-friendly composite interface 101\ninstructor: Selena Walker\ncredits: 4\nterm: Fall 2024\nschedule:\n- week: 1\n  topic: all\n- week: 2\n  topic: education\n- week: 3\n  topic: will\n- week: 4\n  topic: operation\n- week: 5\n  topic: western\n- week: 6\n  topic: plan\n- week: 7\n  topic: allow\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 3952303, \"\"growth\"\": 2.75}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 3970412, \"\"gro\",,,,,March 2024,,,,,\"[{\"\"sku\"\": \"\"SKU-2514\"\", \"\"sales\"\": 485558}, {\"\"sku\"\": \"\"SKU-5241\"\", \"\"sales\"\": 142515}, {\"\"sku\"\": \"\"SKU-4600\"\", \"\"sa\",2433324,8686\r\nActivity work as. Sense television must perform son. Production as front perhaps too firm reflect.,\"[{\"\"name\"\": \"\"Tanya Garner\"\", \"\"affiliation\"\": \"\"Garza-Black\"\", \"\"email\"\": \"\"qchandler@example.net\"\"}, {\"\"name\"\": \",,473,\"Cook, Hayes and Carpenter\",\"[\"\"fast\"\", \"\"industry\"\", \"\"trouble\"\", \"\"foreign\"\", \"\"charge\"\"]\",arXiv:2022.78747,,10.4984/DwZx,Cell,2023,Streamlined methodical budgetary management,,,\r\nHusband concern threat first such job whom. Half history west remember usually.,\"[{\"\"name\"\": \"\"Brenda Burns\"\", \"\"affiliation\"\": \"\"Mcintyre, Manning and Allen\"\", \"\"email\"\": \"\"ericwilliams@examp\",,315,\"Brown, Chapman and Howard\",\"[\"\"week\"\", \"\"stage\"\", \"\"business\"\", \"\"need\"\"]\",arXiv:2023.46731,,10.2309/NSjW,Cell,2024,Enhanced upward-trending data-warehouse,,,\r\nSkin paper add hand different scientist throw. Rule positive debate until bag.,\"[{\"\"name\"\": \"\"Joshua Moore\"\", \"\"affiliation\"\": \"\"Mclaughlin, Johnson and Ortega\"\", \"\"email\"\": \"\"elarson@example\",,339,\"Bennett, Edwards and Navarro\",\"[\"\"fund\"\", \"\"hotel\"\", \"\"next\"\", \"\"performance\"\"]\",arXiv:2024.89687,,10.1074/OrPa,Nature,2021,Polarized coherent migration,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from YAML to TOML:\nassessment_id: ASMT-672485\nstudent_id: STU-183204\ncourse_id: CRS-8704\ntype: quiz\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 0\n  points_possible: 10\n- question: 2\n  points_earned: 9\n  points_possible: 10\n- question: 3\n  points_earned: 1\n  points_possible: 10\n- question: 4\n  points_earned: 10\n  points_possible: 10\n- question: 5\n  points_earned: 1\n  points_possible: 10\n- question: 6\n  points_earned: 8\n  points_possible: 10\n- question: 7\n  points_earned: 7\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 0\n  points_possible: 10\n- question: 10\n  points_earned: 5\n  points_possible: 10\n- question: 11\n  points_earned: 5\n  points_possible: 10\n- question: 12\n  points_earned: 0\n  points_possible: 10\ntotal_score: 82\npercentage: 72.48\ngrade: A\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-672485\"\nstudent_id = \"STU-183204\"\ncourse_id = \"CRS-8704\"\ntype = \"quiz\"\ndate = \"2026-01-01\"\ntotal_score = 82\npercentage = 72.48\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 0\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Admit large politics decide might Mr their. Hundred play I deal but player leader old. Then similar ,,2026-01-03,36,,,,PROD-683988,5,REV-9701957,,,,,Teach look history according want manager perform.,4d7f9754-e296-4a29-967f-5c8de166a17c,False\r\nclothing,,USD,,,True,Exclusive zero-defect knowledgebase,184.53,PROD-985402,3.14,,295,50x84x76cm,38.71,736,,,\r\nelectronics,,USD,,,True,Visionary tangible Graphic Interface,375.72,PROD-782099,2.63,,746,12x99x93cm,25.67,959,,,\r\nelectronics,,USD,,,True,Re-contextualized bottom-line approach,411.91,PROD-167625,1.83,,182,27x94x87cm,46.26,837,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-15490463\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"dcf0c28f-6ad6-4153-873b-0cd39fa73a46\",\n  \"username\": \"allenjames\",\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.\",\n  \"timestamp\": \"2026-01-07T13:51:27.338072\",\n  \"hashtags\": [\n    \"#left\",\n    \"#long\",\n    \"#instead\",\n    \"#budget\"\n  ],\n  \"engagement\": {\n    \"likes\": 85,\n    \"shares\": 112,\n    \"comments\": 292\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-325945\"\nname = \"Universal bottom-line system engine\"\ncategory = \"electronics\"\nprice = 225.75\ncurrency = \"USD\"\nstock = 955\nis_available = true\nrating = 3.31\nreviews = 802\n\n[specs]\nweight_kg = 22.25\ndimensions = \"77x29x32cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-4513\ncode: NEE477\ntitle: Exclusive bottom-line artificial intelligence 101\ninstructor: Jaime Roman\ncredits: 3\nterm: Spring 2022\nschedule:\n- week: 1\n  topic: marriage\n- week: 2\n  topic: wonder\n- week: 3\n  topic: system\n- week: 4\n  topic: order\n- week: 5\n  topic: very\n- week: 6\n  topic: laugh\n- week: 7\n  topic: practice\n- week: 8\n  topic: sister\n- week: 9\n  topic: join\n- week: 10\n  topic: expect\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-504304,2026-01-01,\"[{\"\"name\"\": \"\"Waters-Vega\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Petty, Thompson and Dillon\"\", \"\"role\"\": \"\"party_b\",executed,50,407863\r\nCTR-293527,2026-01-06,\"[{\"\"name\"\": \"\"Pearson, Hayes and Miller\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Johnson LLC\"\", \"\"role\"\": \"\"party_b\"\"\",pending,26,761782\r\nCTR-879663,2026-01-04,\"[{\"\"name\"\": \"\"Fuller, Williams and Glass\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Fry Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,59,716297\r\nCTR-777920,2026-01-01,\"[{\"\"name\"\": \"\"Stanley-Miller\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Gibson, Wall and Mcconnell\"\", \"\"role\"\": \"\"part\",pending,13,757097\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-15490463\"\nplatform = \"instagram\"\nuser_id = \"dcf0c28f-6ad6-4153-873b-0cd39fa73a46\"\nusername = \"allenjames\"\ncontent = \"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.\"\ntimestamp = \"2026-01-07T13:51:27.338072\"\nhashtags = [ \"#left\", \"#long\", \"#instead\", \"#budget\",]\n\n[engagement]\nlikes = 85\nshares = 112\ncomments = 292\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-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"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Action soon hand check.\nHow general factor evening just need up.\nFigure second company full list pro\",456,7013,261,\"[\"\"#admit\"\", \"\"#road\"\", \"\"#sport\"\"]\",twitter,POST-80898785,2026-01-06T09:43:31.679587,00eb8a8e-a719-4bfc-adef-1627baf298d6,ghill\r\nResearch scene measure movement center improve black. Free have crime garden side rather. Capital ga,172,7338,946,\"[\"\"#certainly\"\", \"\"#plant\"\"]\",instagram,POST-13576821,2026-01-06T09:43:31.684066,be720f78-2d69-4458-ace3-73c4e23f65a0,bcraig\r\nProfessional eat summer technology. Prove if feeling either local our capital against. Available see,194,6102,523,\"[\"\"#where\"\", \"\"#they\"\", \"\"#series\"\"]\",instagram,POST-75863537,2026-01-06T09:43:31.684609,9da71e18-3847-46ae-9486-8e6029485555,hannah29\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-6989453\npatient:\n  mrn: MRN-811058\n  age: 46\n  gender: M\nencounter_date: '2026-01-03'\nchief_complaint: fever\nvitals:\n  bp: 116/61\n  hr: 117\n  temp_f: 99.0\nassessment:\n- problem: hypertension\n  icd10: K53\n- problem: hypertension\n  icd10: K93\n- problem: hypertension\n  icd10: J50\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-883806\ntitle: Effect of there on wife\nmethodology:\n  design: observational\n  sample_size: 200\n  duration_days: 32\nresults:\n- metric: efficacy\n  baseline: 15.64\n  endpoint: 83.3\n  p_value: 0.4248\n- metric: efficacy\n  baseline: 36.36\n  endpoint: 63.05\n  p_value: 0.0775\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmedications:\n- name: Atorvastatin\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\nprescriber: Isaac Howard\ndate: '2026-01-03'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"rx_id\": \"RX-7328466\",\n  \"patient_mrn\": \"MRN-740510\",\n  \"prescriber\": \"William Hebert\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7328466</rx_id>\n<patient_mrn>MRN-740510</patient_mrn>\n<prescriber>William Hebert</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>March 2024</period>\n<total_revenue>2433324</total_revenue>\n<units_sold>8686</units_sold>\n<channels>\n<name>online</name>\n<revenue>3952303</revenue>\n<growth>2.75</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>3970412</revenue>\n<growth>12.57</growth>\n</channels>\n<top_products>\n<sku>SKU-2514</sku>\n<sales>485558</sales>\n</top_products>\n<top_products>\n<sku>SKU-5241</sku>\n<sales>142515</sales>\n</top_products>\n<top_products>\n<sku>SKU-4600</sku>\n<sales>420300</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"March 2024\",\n  \"total_revenue\": 2433324,\n  \"units_sold\": 8686,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 3952303,\n      \"growth\": 2.75\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 3970412,\n      \"growth\": 12.57\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-2514\",\n      \"sales\": 485558\n    },\n    {\n      \"sku\": \"SKU-5241\",\n      \"sales\": 142515\n    },\n    {\n      \"sku\": \"SKU-4600\",\n      \"sales\": 420300\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need experiment result details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-903961\"\n[[results]]\nmetric = \"safety\"\nbaseline = 55.26\nendpoint = 17.47\np_value = 0.0413\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 79.7\nendpoint = 97.8\np_value = 0.1773\n\n[[results]]\nmetric = \"safety\"\nbaseline = 91.05\nendpoint = 76.12\np_value = 0.2255\n\n[[results]]\nmetric = \"safety\"\nbaseline = 31.72\nendpoint = 78.17\np_value = 0.2411\n\n[methodology]\ndesign = \"cohort\"\nsample_size = 788\nduration_days = 167\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Implemented leadingedge groupware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reveal>\n<get>\n<summary>Parent dark five.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reveal>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Implemented leadingedge groupware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/reveal\": {\n      \"get\": {\n        \"summary\": \"Parent dark five.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-8855</course_id>\n<code>DBP130</code>\n<title>Team-oriented 3rdgeneration implementation 101</title>\n<instructor>Carl Davis</instructor>\n<credits>3</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>manage</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>someone</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>bring</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>important</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>he</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>possible</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>office</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>drive</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>Mrs</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-8855\",\n  \"code\": \"DBP130\",\n  \"title\": \"Team-oriented 3rdgeneration implementation 101\",\n  \"instructor\": \"Carl Davis\",\n  \"credits\": 3,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"someone\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"bring\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"important\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"he\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"possible\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"office\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"board\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"drive\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"Mrs\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9141</course_id>\n<code>ESH384</code>\n<title>Inverse real-time hardware 101</title>\n<instructor>Matthew Boyd</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>since</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>tree</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>how</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>test</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>half</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need course syllabus details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-7100\"\ncode = \"TRZ224\"\ntitle = \"Self-enabling heuristic customer loyalty 101\"\ninstructor = \"Julie Vasquez\"\ncredits = 4\nterm = \"Fall 2020\"\n[[schedule]]\nweek = 1\ntopic = \"without\"\n\n[[schedule]]\nweek = 2\ntopic = \"image\"\n\n[[schedule]]\nweek = 3\ntopic = \"central\"\n\n[[schedule]]\nweek = 4\ntopic = \"pay\"\n\n[[schedule]]\nweek = 5\ntopic = \"whatever\"\n\n[[schedule]]\nweek = 6\ntopic = \"evidence\"\n\n[[schedule]]\nweek = 7\ntopic = \"town\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2024.31964\",\n  \"title\": \"Optimized solution-oriented success\",\n  \"authors\": [\n    {\n      \"name\": \"Meagan Sutton\",\n      \"affiliation\": \"Williamson, Mitchell and Smith\",\n      \"email\": \"davilabridget@example.com\"\n    },\n    {\n      \"name\": \"William Gross\",\n      \"affiliation\": \"Miller and Sons\",\n      \"email\": \"linda03@example.net\"\n    }\n  ],\n  \"abstract\": \"Price while never. Night great must well remain. Share less reveal often.\",\n  \"keywords\": [\n    \"less\",\n    \"radio\",\n    \"spend\",\n    \"which\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2023,\n    \"doi\": \"10.4651/vEqE\"\n  },\n  \"citations\": 155,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.31964</paper_id>\n<title>Optimized solution-oriented success</title>\n<authors>\n<name>Meagan Sutton</name>\n<affiliation>Williamson, Mitchell and Smith</affiliation>\n<email>davilabridget@example.com</email>\n</authors>\n<authors>\n<name>William Gross</name>\n<affiliation>Miller and Sons</affiliation>\n<email>linda03@example.net</email>\n</authors>\n<abstract>Price while never. Night great must well remain. Share less reveal often.</abstract>\n<keywords>less</keywords>\n<keywords>radio</keywords>\n<keywords>spend</keywords>\n<keywords>which</keywords>\n<publication>\n<venue>Science</venue>\n<year>2023</year>\n<doi>10.4651/vEqE</doi>\n</publication>\n<citations>155</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-434467\"\nstudent_id = \"STU-501316\"\ncourse_id = \"CRS-1765\"\ntype = \"exam\"\ndate = \"2026-01-01\"\ntotal_score = 72\npercentage = 81.67\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 4\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-340912,Derek Gonzalez,RX-2186180\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-100045,Tonya Duncan,RX-4349025\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-300270,Caroline Allen,RX-1581655\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}]\",MRN-541036,Laurie Gutierrez,RX-9481756\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-444550,Mark Diaz,RX-9906179\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,Lipid,MRN-375584,LAB-8547948,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 136.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 110.1\"\r\n2026-01-02,Lipid,MRN-786765,LAB-5810427,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 185.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\"\"\r\n2026-01-03,CMP,MRN-607081,LAB-1845178,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 65.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 71.2, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this YAML data into CSV format:\nexperiment_id: EXP-500587\ntitle: Effect of seem on put\nmethodology:\n  design: cohort\n  sample_size: 806\n  duration_days: 332\nresults:\n- metric: safety\n  baseline: 59.15\n  endpoint: 80.7\n  p_value: 0.0751\n- metric: efficacy\n  baseline: 25.67\n  endpoint: 99.48\n  p_value: 0.1142\n- metric: safety\n  baseline: 72.29\n  endpoint: 18.69\n  p_value: 0.2768\n- metric: safety\n  baseline: 16.24\n  endpoint: 94.98\n  p_value: 0.315\nconclusion: significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-500587,cohort,332,806,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 59.15, \"\"endpoint\"\": 80.7, \"\"p_value\"\": 0.0751}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of seem on put\r\nsignificant,EXP-413544,RCT,206,224,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 72.74, \"\"endpoint\"\": 62.17, \"\"p_value\"\": 0.3628}, {\"\"metric\"\": \"\"effica\",Effect of city on from\r\nsignificant,EXP-450693,cohort,259,260,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 11.94, \"\"endpoint\"\": 97.38, \"\"p_value\"\": 0.4345}, {\"\"metric\"\": \"\"safety\"\",\",Effect of value on force\r\nnon-significant,EXP-698621,observational,343,55,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 27.66, \"\"endpoint\"\": 27.34, \"\"p_value\"\": 0.4157}, {\"\"metric\"\": \"\"effica\",Effect of audience on subject\r\nsignificant,EXP-141123,cohort,176,683,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 75.73, \"\"endpoint\"\": 64.46, \"\"p_value\"\": 0.0322}, {\"\"metric\"\": \"\"safety\",Effect of professional on good\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate transaction record data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064,\"[{\"\"sku\"\": \"\"SKU-63492\"\", \"\"qty\"\": 1, \"\"price\"\": 90.17}, {\"\"sku\"\": \"\"SKU-56350\"\", \"\"qty\"\": 5, \"\"price\"\": 336.79}]\",apple_pay,152.9,14.6,2026-01-07T13:51:26.046328,796.85,TXN-23430167\r\n87c4cda4-0fd7-4820-a1fd-fae7e7885606,\"[{\"\"sku\"\": \"\"SKU-21380\"\", \"\"qty\"\": 4, \"\"price\"\": 384.37}, {\"\"sku\"\": \"\"SKU-18480\"\", \"\"qty\"\": 4, \"\"price\"\": 363.77}, {\",paypal,1896.87,56.98,2026-01-07T13:51:26.047314,1922.78,TXN-72278452\r\n800cc3a6-f48f-4cf2-b7d0-cbace53d2031,\"[{\"\"sku\"\": \"\"SKU-86386\"\", \"\"qty\"\": 2, \"\"price\"\": 392.75}, {\"\"sku\"\": \"\"SKU-52623\"\", \"\"qty\"\": 4, \"\"price\"\": 78.5}]\",apple_pay,608.77,157.71,2026-01-07T13:51:26.047373,1272.69,TXN-84595534\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 4317671,\n  \"units_sold\": 11582,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2780960,\n      \"growth\": 22.76\n    },\n    {\n      \"name\": \"retail\",\n      \"revenue\": 4140341,\n      \"growth\": -9.84\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-8636\",\n      \"sales\": 261407\n    },\n    {\n      \"sku\": \"SKU-9950\",\n      \"sales\": 107242\n    },\n    {\n      \"sku\": \"SKU-8311\",\n      \"sales\": 494004\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2021</period>\n<total_revenue>4317671</total_revenue>\n<units_sold>11582</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2780960</revenue>\n<growth>22.76</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>4140341</revenue>\n<growth>-9.84</growth>\n</channels>\n<top_products>\n<sku>SKU-8636</sku>\n<sales>261407</sales>\n</top_products>\n<top_products>\n<sku>SKU-9950</sku>\n<sales>107242</sales>\n</top_products>\n<top_products>\n<sku>SKU-8311</sku>\n<sales>494004</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output social media post as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-52722833\nplatform: facebook\nuser_id: d42576ea-a78d-4261-852d-cbcc2fd55da5\nusername: justin96\ncontent: 'Southern write three operation throw interest whether.\n\n  Decade quality training employee. Financial out position catch finish author. Past\n  over in create.\n\n  Nice reduce try contain future back customer.'\ntimestamp: '2026-01-07T13:51:26.716888'\nhashtags:\n- '#report'\n- '#newspaper'\nengagement:\n  likes: 8106\n  shares: 850\n  comments: 244\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nexperiment_id: EXP-168652\ntitle: Effect of green on from\nmethodology:\n  design: cohort\n  sample_size: 797\n  duration_days: 186\nresults:\n- metric: safety\n  baseline: 24.16\n  endpoint: 44.82\n  p_value: 0.0559\n- metric: efficacy\n  baseline: 16.54\n  endpoint: 28.48\n  p_value: 0.2997\nconclusion: non-significant\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-168652,cohort,186,797,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 24.16, \"\"endpoint\"\": 44.82, \"\"p_value\"\": 0.0559}, {\"\"metric\"\": \"\"efficacy\",Effect of green on from\r\nsignificant,EXP-215495,RCT,265,796,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.54, \"\"endpoint\"\": 85.98, \"\"p_value\"\": 0.1172}, {\"\"metric\"\": \"\"safety\"\",\",Effect of amount on address\r\nnon-significant,EXP-166400,observational,105,394,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 14.58, \"\"endpoint\"\": 96.74, \"\"p_value\"\": 0.2699}, {\"\"metric\"\": \"\"efficacy\",Effect of grow on hundred\r\nnon-significant,EXP-252360,observational,303,939,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 37.17, \"\"endpoint\"\": 21.23, \"\"p_value\"\": 0.023}, {\"\"metric\"\": \"\"safety\"\"\",Effect of possible on suggest\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"8332f894-7969-41dc-b41e-1d31b796cba0\",\n  \"timestamp\": \"2026-01-07T13:51:27.125156\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"imageService\",\n  \"message\": \"Bad prepare able heavy morning.\",\n  \"stack_trace\": [\n    \"at property.py:50\",\n    \"at short.py:272\"\n  ],\n  \"context\": {\n    \"user_id\": \"a3de195f-baae-4936-bd72-230b1e266327\",\n    \"request_id\": \"35eb846c-1e2f-4451-a60f-b8ee42943a10\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2023.99214\"\ntitle = \"Integrated mobile database\"\nabstract = \"Full with spend role first drive. Want man instead today bed hand character.\"\nkeywords = [ \"bed\", \"very\", \"population\",]\ncitations = 395\n[[authors]]\nname = \"Clayton Martinez\"\naffiliation = \"Flores, Levy and Farmer\"\nemail = \"kathy80@example.org\"\n\n[[authors]]\nname = \"Susan Bennett\"\naffiliation = \"Collins, Daniel and Lyons\"\nemail = \"shawnjefferson@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2023\ndoi = \"10.4640/CkqB\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-77634261\"\ncustomer_id = \"14254338-25f4-4277-b03d-bd2ea5abeebf\"\ntimestamp = \"2026-01-06T09:43:34.863603\"\nsubtotal = 392.27\ntax = 108.31\ntotal = 1654.0\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-48101\"\nqty = 3\nprice = 477.41\n\n[[items]]\nsku = \"SKU-81893\"\nqty = 4\nprice = 35.53\n\n[[items]]\nsku = \"SKU-79183\"\nqty = 3\nprice = 316.45\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-3682408\nheadline: Decentralized stable neural-net\nauthor: Thomas Acevedo\npublished: '2026-01-01T11:30:40.673887'\nsection: Business\ncontent: 'Cold trial recognize improve nice between these. Happy herself suggest impact\n  tell easy.\n\n  Start movie up social real effort. Onto federal prepare class direction rest.\n\n  News party school five bit. Trouble box year how.\n\n  Pressure respond nature. Prepare ball put happen.'\ntags:\n- movie\n- it\n- chance\nviews: 12438\nshares: 1329\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-7328466\",\n  \"patient_mrn\": \"MRN-740510\",\n  \"prescriber\": \"William Hebert\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Such entire card success. Commercial black year find artist top.\nBoth process visit growth. Drive su\",234,4361,12,\"[\"\"#practice\"\", \"\"#suggest\"\", \"\"#matter\"\"]\",instagram,POST-52337513,2026-01-06T09:43:32.549121,4fafb3d9-0213-436e-851c-70b618307db7,jennifer17\r\nOwn rather scientist position including wrong. Consumer war group each evening mother certain attorn,256,7031,782,\"[\"\"#how\"\", \"\"#partner\"\", \"\"#why\"\", \"\"#others\"\"]\",instagram,POST-62846906,2026-01-06T09:43:32.555123,e070c5df-645e-41b2-bf97-c7cde739ee05,woodserik\r\n\"Speech seem mind kind body full interview. Note almost article parent too never. Glass see walk.\nSta\",95,4138,161,\"[\"\"#crime\"\", \"\"#most\"\"]\",instagram,POST-28865249,2026-01-06T09:43:32.555777,430333a4-4670-4b43-b975-f01efed065cb,robert25\r\nDeal college me win figure later maintain. Industry increase side drop democratic. Computer day perf,126,868,755,\"[\"\"#probably\"\", \"\"#probably\"\"]\",instagram,POST-57862114,2026-01-06T09:43:32.559559,590798de-ac7c-4817-bc04-bdd354e8bd94,lknapp\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-1120026\",\n  \"patient_mrn\": \"MRN-824701\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 168.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 98.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 137.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 107.7,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-1120026</result_id>\n<patient_mrn>MRN-824701</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>168.8</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>98.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>137.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>107.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"course_id\": \"CRS-3948\",\n  \"code\": \"CSZ142\",\n  \"title\": \"Intuitive foreground functionalities 101\",\n  \"instructor\": \"Robert Carter\",\n  \"credits\": 4,\n  \"term\": \"Fall 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"catch\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"people\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"out\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"story\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"share\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"become\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"part\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"cell\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id: CRS-3948\ncode: CSZ142\ntitle: Intuitive foreground functionalities 101\ninstructor: Robert Carter\ncredits: 4\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: manage\n- week: 2\n  topic: catch\n- week: 3\n  topic: people\n- week: 4\n  topic: out\n- week: 5\n  topic: story\n- week: 6\n  topic: share\n- week: 7\n  topic: become\n- week: 8\n  topic: part\n- week: 9\n  topic: cell\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.74861\ntitle: Enterprise-wide background neural-net\nauthors:\n- name: Joshua Martinez\n  affiliation: Jackson Ltd\n  email: awilliams@example.net\n- name: Lindsey Morrow\n  affiliation: Thomas-Hays\n  email: alexander97@example.net\nabstract: Analysis left land member structure third card according. Class safe method.\nkeywords:\n- dream\n- benefit\n- every\npublication:\n  venue: Science\n  year: 2020\n  doi: 10.6108/HONd\ncitations: 184\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "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>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nname = \"Universal fault-tolerant service-desk\"\nprice = 907.33\nreviews = 493\n\n[specs]\nweight_kg = 8.02\ndimensions = \"62x22x22cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-1091357\nheadline: Progressive solution-oriented benchmark\nauthor: Veronica Perez\npublished: '2026-01-04T23:19:54.143199'\nsection: Sports\ncontent: 'Growth physical guy hold attention. Ago window important herself discuss\n  body system.\n\n  Word interest lead. Economic believe receive education describe value. Capital action\n  author ability.'\ntags:\n- girl\n- who\n- rock\nviews: 72066\nshares: 2292\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output contract as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-370819\nparties:\n- name: Stewart, Thompson and Rogers\n  role: party_a\n- name: Jackson, Griffin and Flowers\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 13\nvalue: 109351\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-98954474\"\ncustomer_id = \"ac364ac2-d92b-4834-a49c-47c2d399ec87\"\ntimestamp = \"2026-01-06T09:43:31.108755\"\nsubtotal = 1835.64\ntax = 146.65\ntotal = 1321.62\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-74302\"\nqty = 4\nprice = 452.91\n\n[[items]]\nsku = \"SKU-52720\"\nqty = 2\nprice = 224.23\n\n[[items]]\nsku = \"SKU-68694\"\nqty = 1\nprice = 477.08\n\n[[items]]\nsku = \"SKU-40474\"\nqty = 3\nprice = 137.31\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this YAML data into TOML format:\nnote_id: CN-6224145\npatient:\n  mrn: MRN-560569\n  age: 88\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: headache\nvitals:\n  bp: 119/73\n  hr: 63\n  temp_f: 100.0\nassessment:\n- problem: hypertension\n  icd10: I32\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from YAML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-6224145\"\nencounter_date = \"2026-01-04\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I32\"\n\n[patient]\nmrn = \"MRN-560569\"\nage = 88\ngender = \"F\"\n\n[vitals]\nbp = \"119/73\"\nhr = 63\ntemp_f = 100.0\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-2063</course_id>\n<code>FAH301</code>\n<title>Ameliorated zero administration productivity 101</title>\n<instructor>Aaron Bailey</instructor>\n<credits>4</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>health</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>buy</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>conference</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>late</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>fear</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>ability</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>control</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>social</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-318732\"\ntitle = \"Effect of produce on stock\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 20.77\nendpoint = 67.03\np_value = 0.1826\n\n[[results]]\nmetric = \"safety\"\nbaseline = 69.69\nendpoint = 32.04\np_value = 0.1176\n\n[methodology]\ndesign = \"observational\"\nsample_size = 303\nduration_days = 155\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-879460,,CRS-8763,,2026-01-03,B,,,,,96.07,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 1, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 4, \"\"po\",STU-948921,,,83,quiz\r\n,HVV256,CRS-5260,3,,,40,30,30,Nicole Miller,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"late\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"magazine\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"environment\"\"}\",,,Spring 2024,Adaptive 24hour open architecture 101,,\r\n,TLD443,CRS-8229,3,,,40,30,30,Elizabeth Jones,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"on\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"travel\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"board\"\"}, {\"\"week\"\":\",,,Spring 2024,Fundamental zero tolerance Internet solution 101,,\r\n,ZWF427,CRS-5275,3,,,40,30,30,Mary Bell,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"east\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"guy\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"teach\"\"}, {\"\"week\"\": \",,,Fall 2024,Profit-focused 6thgeneration help-desk 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\nresult_id: LAB-6812810\npatient_mrn: MRN-631747\norder_date: '2026-01-04'\npanel: Lipid\nresults:\n- test: WBC\n  value: 54.3\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 70.8\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 59.6\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 140.8\n  unit: mg/dL\n  flag: high\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-6812810</result_id>\n<patient_mrn>MRN-631747</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>54.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>70.8</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>59.6</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>140.8</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 1234153, \"\"growth\"\": 40.64}, {\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 991509, \"\"\",,,,,November 2022,,,,,\"[{\"\"sku\"\": \"\"SKU-9585\"\", \"\"sales\"\": 30234}, {\"\"sku\"\": \"\"SKU-8072\"\", \"\"sales\"\": 57362}, {\"\"sku\"\": \"\"SKU-4011\"\", \"\"sale\",9138741,89798\r\nUp edge fast appear realize record my style. Approach five state drive example find book high.,\"[{\"\"name\"\": \"\"Jason Duncan\"\", \"\"affiliation\"\": \"\"Martinez PLC\"\", \"\"email\"\": \"\"jhart@example.net\"\"}, {\"\"name\"\": \"\"An\",,234,Davies Ltd,\"[\"\"hair\"\", \"\"food\"\", \"\"require\"\", \"\"task\"\", \"\"rate\"\"]\",arXiv:2023.42442,,10.9771/AkkV,Science,2021,Re-engineered object-oriented groupware,,,\r\nStudent enter thing environment heart. Ready including data program number. Official top smile forme,\"[{\"\"name\"\": \"\"Jennifer Jensen\"\", \"\"affiliation\"\": \"\"Cooper and Sons\"\", \"\"email\"\": \"\"yfisher@example.org\"\"}, {\"\"na\",,96,None,\"[\"\"local\"\", \"\"hot\"\", \"\"such\"\", \"\"executive\"\", \"\"against\"\"]\",arXiv:2023.30899,,10.4658/ckbU,Nature,2022,Reverse-engineered systemic workforce,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output customer review as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-1274071\nproduct_id: PROD-300785\nuser_id: c183a72e-4d6f-40ac-92b0-2d1073039571\nrating: 5\ntitle: Follow large high gas clear drug pretty else.\ncontent: 'Recent cause family writer. Old less control he woman. Coach quickly will.\n\n  Relationship same against one stand agreement. Be fine occur ten energy resource\n  wall. Nation ten continue.'\ndate: '2026-01-06'\nverified_purchase: true\nhelpful_votes: 37\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-8221745\nheadline: Polarized zero administration support\nauthor: Maria Johnson\npublished: '2026-01-03T08:37:58.870132'\nsection: Business\ncontent: 'Would movement white military what them cup. Available remember control\n  staff. None mean hundred PM.\n\n  Improve wear produce price according. He method market computer TV strategy.\n\n  Body into language. Which other hear they look some option.'\ntags:\n- environment\n- name\n- receive\n- happen\n- join\nviews: 46852\nshares: 763\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3793814</result_id>\n<patient_mrn>MRN-247204</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>188.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>197.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>193.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>197.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>109.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Face-to-face zero administration application API\"\nversion = \"1.0.0\"\n\n[paths.\"/peace\".get]\nsummary = \"Feel piece low way effort action bag.\"\n[[paths.\"/peace\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/peace\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/peace\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/peace\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/peace\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-7937835\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I52\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J76\"\n\n[patient]\nmrn = \"MRN-749785\"\nage = 66\ngender = \"M\"\n\n[vitals]\nbp = \"179/85\"\nhr = 81\ntemp_f = 101.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate error log data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"c6e14566-270a-4a5f-a250-5239ca9174ac\",\n  \"timestamp\": \"2026-01-07T13:51:26.338486\",\n  \"level\": \"ERROR\",\n  \"service\": \"humanService\",\n  \"message\": \"Fear she east talk better central.\",\n  \"stack_trace\": [\n    \"at college.py:218\",\n    \"at economy.py:209\",\n    \"at let.py:252\",\n    \"at whole.py:18\"\n  ],\n  \"context\": {\n    \"user_id\": \"bda2bdb3-cc4e-4711-8927-aa42dc72d462\",\n    \"request_id\": \"c7d51186-07ee-4743-a193-c5688ac0d6c5\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate product listing data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-791864</product_id>\n<name>Decentralized heuristic migration</name>\n<category>books</category>\n<price>124.58</price>\n<currency>USD</currency>\n<stock>601</stock>\n<is_available>True</is_available>\n<rating>3.59</rating>\n<reviews>538</reviews>\n<specs>\n<weight_kg>9.83</weight_kg>\n<dimensions>30x16x25cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<contract>\n<contract_id>CTR-123472</contract_id>\n<parties>\n<name>Palmer-White</name>\n<role>party_a</role>\n</parties>\n<parties>\n<name>Rodriguez-Moore</name>\n<role>party_b</role>\n</parties>\n<effective_date>2026-01-06</effective_date>\n<term_months>59</term_months>\n<value>388976</value>\n<status>pending</status>\n</contract>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-123472\",\n  \"parties\": [\n    {\n      \"name\": \"Palmer-White\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Rodriguez-Moore\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-06\",\n  \"term_months\": 59,\n  \"value\": 388976,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Now decide senior fact big window yourself. Difference appear seat coach rather once politics. Moder,,2026-01-02,8,,,,PROD-861575,1,REV-1369973,,,,,Relationship job find one allow law through.,a55bb48c-5dcb-464a-b952-9d377a4cb9c4,True\r\nbooks,,USD,,,True,Cloned maximized application,219.99,PROD-734195,1.61,,912,32x36x71cm,45.63,793,,,\r\nelectronics,,USD,,,True,Switchable zero administration hub,314.79,PROD-729808,2.08,,697,78x45x86cm,32.98,855,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"patient_mrn\": \"MRN-952425\",\n  \"result_id\": \"LAB-8958063\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 142.4,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 196.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 119.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 99.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 51.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 186.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<patient_mrn>MRN-952425</patient_mrn>\n<result_id>LAB-8958063</result_id>\n<results>\n<test>Glucose</test>\n<value>142.4</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>196.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>74.4</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>119.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>99.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>51.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>186.5</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-2735215\"\nencounter_date = \"2026-01-01\"\nchief_complaint = \"chest pain\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I58\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I47\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K83\"\n\n[patient]\nmrn = \"MRN-389494\"\nage = 52\ngender = \"M\"\n\n[vitals]\nbp = \"111/100\"\nhr = 66\ntemp_f = 99.3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>July 2021</period>\n<total_revenue>5979422</total_revenue>\n<units_sold>82076</units_sold>\n<channels>\n<name>retail</name>\n<revenue>3460112</revenue>\n<growth>36.85</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>3983364</revenue>\n<growth>5.55</growth>\n</channels>\n<top_products>\n<sku>SKU-1065</sku>\n<sales>105510</sales>\n</top_products>\n<top_products>\n<sku>SKU-4043</sku>\n<sales>281142</sales>\n</top_products>\n<top_products>\n<sku>SKU-1338</sku>\n<sales>43006</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",,,RX-5523111\r\n2026-01-06,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-744561,William Vargas,RX-4860429\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 60}]\",MRN-706968,Adam Harvey,RX-5550531\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}]\",MRN-553489,Timothy Bean,RX-1383524\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate clinical note data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"note_id\": \"CN-4441974\",\n  \"patient\": {\n    \"mrn\": \"MRN-925906\",\n    \"age\": 60,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"154/95\",\n    \"hr\": 108,\n    \"temp_f\": 97.8\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J60\"\n    },\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I21\"\n    },\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K16\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint = \"chest pain\"\nnote_id = \"CN-4263292\"\nencounter_date = \"2026-01-01\"\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K11\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"J76\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"K40\"\n\n[vitals]\nbp = \"95/71\"\nhr = 65\ntemp_f = 99.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.26414\"\ntitle = \"Monitored mission-critical strategy\"\nabstract = \"Poor pass into get. Check team pretty note must person letter. Sure imagine onto toward well section political.\"\nkeywords = [ \"require\", \"seat\", \"data\",]\ncitations = 152\n[[authors]]\nname = \"Amy Williams\"\naffiliation = \"Gilbert PLC\"\nemail = \"browndanielle@example.com\"\n\n[[authors]]\nname = \"Mariah Hanson\"\naffiliation = \"Fitzgerald and Sons\"\nemail = \"cervantesgabrielle@example.net\"\n\n[[authors]]\nname = \"Angel Ballard\"\naffiliation = \"Walker and Sons\"\nemail = \"heatherchaney@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.3829/LCKa\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output financial report as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Leon-Lewis\nticker: FGCI\nquarter: Q4 2022\nrevenue: 56885685\nexpenses: 46362888\nnet_income: 14538939\neps: 7.9\nmetrics:\n  profit_margin: 25.04\n  roe: 5.27\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nBehavior skin nation pay behind remain. Then put again. Process participant current all.,\"[{\"\"name\"\": \"\"Todd Hall MD\"\", \"\"affiliation\"\": \"\"Nunez-Nguyen\"\", \"\"email\"\": \"\"grhodes@example.net\"\"}, {\"\"name\"\": \"\"\",194,None,\"[\"\"design\"\", \"\"him\"\", \"\"blue\"\", \"\"less\"\", \"\"fine\"\"]\",arXiv:2023.87771,10.6248/yEgY,Nature,2020,User-centric stable ability\r\nAir guess power. Relationship blood respond smile begin report time.,\"[{\"\"name\"\": \"\"Sean Vasquez\"\", \"\"affiliation\"\": \"\"Parker-Odonnell\"\", \"\"email\"\": \"\"oliviawright@example.com\"\"}, {\"\"\",358,Barnett-Lopez,\"[\"\"five\"\", \"\"up\"\", \"\"cold\"\", \"\"check\"\"]\",arXiv:2020.97251,10.2234/TyWg,Nature,2022,Synchronized attitude-oriented leverage\r\n\"Assume likely need if call bill also. Trade listen popular.\nAway skin himself common suddenly.\",\"[{\"\"name\"\": \"\"Heather Willis\"\", \"\"affiliation\"\": \"\"Allen-Garza\"\", \"\"email\"\": \"\"osmith@example.com\"\"}, {\"\"name\"\": \"\"\",258,None,\"[\"\"mention\"\", \"\"music\"\", \"\"nothing\"\"]\",arXiv:2024.96155,10.3081/IzFq,Science,2021,Cross-platform explicit middleware\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2022.45091\ntitle: Profound composite portal\nauthors:\n- name: Kendra Gilbert\n  affiliation: Knight, Richardson and Garcia\n  email: kelseysmith@example.com\n- name: Pamela Yang\n  affiliation: Garcia, Walker and Cardenas\n  email: lbeasley@example.org\nabstract: Themselves edge marriage we sound since impact. Artist rise do soldier occur\n  behind purpose.\nkeywords:\n- leg\n- character\n- increase\n- media\npublication:\n  venue: Nature\n  year: 2024\n  doi: 10.9826/sFIb\ncitations: 166\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nFive suffer nor during. Mother type cell popular everybody. Any sing money without future.,\"[{\"\"name\"\": \"\"Veronica Murray\"\", \"\"affiliation\"\": \"\"Miller, Cain and Newton\"\", \"\"email\"\": \"\"johnsonmaxwell@exam\",139,None,\"[\"\"effect\"\", \"\"wish\"\", \"\"perform\"\", \"\"drug\"\"]\",arXiv:2023.30712,10.3170/JGZQ,Nature,2021,Automated 4thgeneration capability\r\nSuch camera us begin practice. Stage strategy consumer arrive whole.,\"[{\"\"name\"\": \"\"Luis Bonilla\"\", \"\"affiliation\"\": \"\"Welch Inc\"\", \"\"email\"\": \"\"ptucker@example.org\"\"}, {\"\"name\"\": \"\"Bri\",136,\"Harvey, Larsen and Freeman\",\"[\"\"want\"\", \"\"which\"\", \"\"suggest\"\", \"\"long\"\", \"\"whom\"\"]\",arXiv:2021.30526,10.7350/OKNd,Cell,2023,Synchronized static framework\r\nBenefit like home source open. Individual prepare among sell growth. Live fast ten student perhaps c,\"[{\"\"name\"\": \"\"Regina Lawson\"\", \"\"affiliation\"\": \"\"Wilson, Christian and Jones\"\", \"\"email\"\": \"\"garciabryce@examp\",245,\"Davis, Rose and Anderson\",\"[\"\"surface\"\", \"\"these\"\", \"\"address\"\", \"\"red\"\", \"\"building\"\"]\",arXiv:2023.80116,10.3259/XXCV,Nature,2022,Organic clear-thinking challenge\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>042db0a1-c9b1-49a9-9d69-5247a8c47159</error_id>\n<timestamp>2026-01-07T13:51:27.377057</timestamp>\n<level>ERROR</level>\n<service>whomService</service>\n<message>Each reality trip red enough tough common.</message>\n<stack_trace>at note.py:398</stack_trace>\n<stack_trace>at purpose.py:452</stack_trace>\n<stack_trace>at onto.py:106</stack_trace>\n<stack_trace>at member.py:439</stack_trace>\n<context>\n<user_id>70c0c786-0e43-42b2-8ec7-e975f39a71f7</user_id>\n<request_id>95ca942a-a33a-413f-b1a1-a21e12fa0f30</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-718533,,CRS-7994,,2026-01-03,B,,,,,88.34,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 4, \"\"po\",STU-781568,,,62,assignment\r\n,RVC170,CRS-3997,3,,,40,30,30,Mark Phillips,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"doctor\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"recognize\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"recent\"\"}, \",,,Spring 2020,De-engineered composite orchestration 101,,\r\n,YJL325,CRS-4611,4,,,40,30,30,Joshua Bradshaw,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"already\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"mouth\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"family\"\"}, {\"\"w\",,,Fall 2024,Enhanced global Graphic Interface 101,,\r\n,CYR377,CRS-4097,3,,,40,30,30,Carol Reyes,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"fast\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"conference\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"sit\"\"}, {\"\"we\",,,Spring 2020,Centralized web-enabled knowledge user 101,,\r\n,ABY219,CRS-9765,3,,,40,30,30,Brandon Allen,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"cost\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"current\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"together\"\"}, {\"\"\",,,Fall 2023,Face-to-face multimedia groupware 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"txn_id\": \"TXN-15638187\",\n  \"customer_id\": \"242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7\",\n  \"timestamp\": \"2026-01-07T13:51:27.047573\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-16950\",\n      \"qty\": 3,\n      \"price\": 120.22\n    },\n    {\n      \"sku\": \"SKU-76122\",\n      \"qty\": 1,\n      \"price\": 377.76\n    },\n    {\n      \"sku\": \"SKU-41194\",\n      \"qty\": 3,\n      \"price\": 254.19\n    },\n    {\n      \"sku\": \"SKU-75246\",\n      \"qty\": 2,\n      \"price\": 418.85\n    }\n  ],\n  \"subtotal\": 1338.06,\n  \"tax\": 172.92,\n  \"total\": 2048.81,\n  \"payment_method\": \"apple_pay\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-15638187</txn_id>\n<customer_id>242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7</customer_id>\n<timestamp>2026-01-07T13:51:27.047573</timestamp>\n<items>\n<sku>SKU-16950</sku>\n<qty>3</qty>\n<price>120.22</price>\n</items>\n<items>\n<sku>SKU-76122</sku>\n<qty>1</qty>\n<price>377.76</price>\n</items>\n<items>\n<sku>SKU-41194</sku>\n<qty>3</qty>\n<price>254.19</price>\n</items>\n<items>\n<sku>SKU-75246</sku>\n<qty>2</qty>\n<price>418.85</price>\n</items>\n<subtotal>1338.06</subtotal>\n<tax>172.92</tax>\n<total>2048.81</total>\n<payment_method>apple_pay</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Assimilated neutral archive API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</sea>\n<get>\n<summary>Team happen challenge address expert manage beyond</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//sea>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "I need clinical note details in YAML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nchief_complaint: chest pain\nencounter_date: '2026-01-03'\npatient:\n  mrn: MRN-729929\n  age: 25\n  gender: F\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate news article data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9801838,Jeffrey Gordon,\"Partner energy whose simply half because long. Pattern include thousand care four against.\nScene cen\",Multi-lateral didactic encryption,2026-01-04T05:36:27.140251,Business,4423,\"[\"\"word\"\", \"\"public\"\", \"\"near\"\"]\",26731\r\nART-3928807,Dustin Lynch,\"Shoulder not report see edge social. Teach yes rest easy decade.\nReach threat feel reflect table dif\",Balanced composite circuit,2026-01-01T03:14:17.265249,Business,2180,\"[\"\"air\"\", \"\"risk\"\", \"\"cause\"\"]\",42066\r\nART-4834512,Susan Anderson,\"East opportunity way field some. Hard well box nor. Organization spend test night Republican.\nFine D\",Robust fresh-thinking capability,2026-01-02T21:15:55.002860,Business,4671,\"[\"\"indeed\"\", \"\"pattern\"\", \"\"least\"\", \"\"particular\"\"]\",73576\r\nART-1189164,Beth Nguyen,\"Safe family seek door. Place realize mean.\nFace every girl turn particular benefit. Through most tow\",Progressive neutral artificial intelligence,2026-01-05T16:13:36.304830,Sports,3498,\"[\"\"indeed\"\", \"\"test\"\", \"\"forget\"\", \"\"each\"\", \"\"apply\"\"]\",38510\r\nART-3890269,Destiny Maxwell,Since human go drop blood prove thousand. Book serve green force half manager. Young respond availab,Down-sized modular collaboration,2026-01-05T13:46:37.070553,Tech,2432,\"[\"\"rise\"\", \"\"tonight\"\", \"\"focus\"\", \"\"its\"\"]\",88843\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,content,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title,user_id\r\n,,,It herself scene five side support onto. Shake fear western believe. Say fact shoulder investment te,2026-01-04,,,,,,,,d6e6e646-61a4-4af9-a9a1-d03d234244eb\r\nSport eight century too everyone. Direction very relate order toward.,\"[{\"\"name\"\": \"\"Joseph Orozco\"\", \"\"affiliation\"\": \"\"Flores, Clark and Krause\"\", \"\"email\"\": \"\"crawfordheidi@exampl\",321,,,None,\"[\"\"history\"\", \"\"information\"\", \"\"discuss\"\", \"\"fine\"\"]\",arXiv:2021.57597,10.7112/HFuP,Nature,2020,Inverse non-volatile protocol,\r\nStart old reflect agreement heavy water. Action should travel career. Difficult arrive act summer pr,\"[{\"\"name\"\": \"\"Lisa Richmond\"\", \"\"affiliation\"\": \"\"Smith-Taylor\"\", \"\"email\"\": \"\"brownjonathan@example.net\"\"}, {\"\"n\",33,,,None,\"[\"\"training\"\", \"\"stage\"\", \"\"support\"\"]\",arXiv:2020.79870,10.7699/PryY,Nature,2024,Focused attitude-oriented website,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output prescription as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-2540402\npatient_mrn: MRN-259298\nprescriber: Sylvia Ray\ndate: '2026-01-02'\nmedications:\n- name: Metformin\n  dosage: 20mg\n  frequency: BID\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 60\n- name: Atorvastatin\n  dosage: 20mg\n  frequency: daily\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-4466987\",\n  \"patient\": {\n    \"mrn\": \"MRN-766590\",\n    \"age\": 87,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"147/66\",\n    \"hr\": 72,\n    \"temp_f\": 101.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K25\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4466987</note_id>\n<patient>\n<mrn>MRN-766590</mrn>\n<age>87</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>147/66</bp>\n<hr>72</hr>\n<temp_f>101.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K25</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output sales analytics as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2022\"\ntotal_revenue = 6033804\nunits_sold = 27183\n[[channels]]\nname = \"wholesale\"\nrevenue = 4147239\ngrowth = 40.37\n\n[[channels]]\nname = \"online\"\nrevenue = 2663137\ngrowth = 9.96\n\n[[top_products]]\nsku = \"SKU-2538\"\nsales = 420940\n\n[[top_products]]\nsku = \"SKU-8680\"\nsales = 364206\n\n[[top_products]]\nsku = \"SKU-2062\"\nsales = 350623\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Diverse 6thgeneration solution,48.12,PROD-421885,3.7,717,87x57x81cm,20.82,460\r\nclothing,USD,True,Ameliorated dynamic standardization,577.48,PROD-665509,4.43,787,23x12x72cm,19.54,956\r\nclothing,USD,True,Innovative composite challenge,759.74,PROD-472050,3.05,346,91x27x82cm,34.58,445\r\nelectronics,USD,True,Right-sized needs-based hierarchy,716.79,PROD-105580,1.29,743,76x43x52cm,48.89,410\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate = \"2026-01-06\"\npatient_mrn = \"MRN-259808\"\nrx_id = \"RX-8539167\"\nprescriber = \"Joseph Griffin\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-6496\",\n  \"code\": \"TMG245\",\n  \"instructor\": \"Maria Bowers\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"situation\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"firm\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"involve\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"change\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"yard\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"morning\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"left\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Hill-Marsh\nticker: ZFVR\nquarter: Q3 2024\nrevenue: 46703834\nexpenses: 77071880\nnet_income: 4141173\neps: 8.71\nmetrics:\n  profit_margin: 28.84\n  roe: 14.06\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/teach_get_parameters,paths_/teach_get_responses_200_description,paths_/teach_get_responses_400_description,paths_/teach_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Business-focused zero administration encryption API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Government trade direction personal reason hundred,,,,\r\nAffect today establish arm foot skin agent. Statement increase local candidate help meet.,\"[{\"\"name\"\": \"\"Eric Rose\"\", \"\"affiliation\"\": \"\"Cruz-Cannon\"\", \"\"email\"\": \"\"robin15@example.com\"\"}, {\"\"name\"\": \"\"Mand\",367,None,,,\"[\"\"do\"\", \"\"matter\"\", \"\"serious\"\", \"\"official\"\", \"\"technology\"\"]\",,arXiv:2024.39689,,,,,10.3018/UBBT,Science,2024,Distributed radical implementation\r\nCold late national drive write. Loss break debate interview why manage new.,\"[{\"\"name\"\": \"\"Lisa Williams\"\", \"\"affiliation\"\": \"\"Maldonado-Mills\"\", \"\"email\"\": \"\"christopher76@example.org\"\"}, \",207,None,,,\"[\"\"expert\"\", \"\"college\"\", \"\"drug\"\"]\",,arXiv:2021.88361,,,,,10.1907/lKeu,Nature,2024,Re-contextualized well-modulated protocol\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>a016c8d2-6aba-435a-ab46-60ac8aacf0a5</error_id>\n<timestamp>2026-01-07T13:51:26.006823</timestamp>\n<level>CRITICAL</level>\n<service>currentService</service>\n<message>Well nation stay number now but.</message>\n<stack_trace>at daughter.py:364</stack_trace>\n<stack_trace>at same.py:66</stack_trace>\n<context>\n<user_id>432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5</user_id>\n<request_id>4ed63374-fc09-4101-b987-4a8ee575fee3</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,4ed63374-fc09-4101-b987-4a8ee575fee3,432ef3ee-7f2b-4bc8-a8a7-159d64a89fd5,a016c8d2-6aba-435a-ab46-60ac8aacf0a5,,,CRITICAL,Well nation stay number now but.,,,,,currentService,\"[\"\"at daughter.py:364\"\", \"\"at same.py:66\"\"]\",2026-01-07T13:51:26.006823,\r\nProgram student decision concern. Yes although science road land city. Meeting own check become writ,\"[{\"\"name\"\": \"\"Dominique Bishop\"\", \"\"affiliation\"\": \"\"Walton, Peters and Walker\"\", \"\"email\"\": \"\"samanthahoffman@\",146,,,,\"Stout, Robinson and Jackson\",\"[\"\"practice\"\", \"\"result\"\", \"\"new\"\", \"\"read\"\", \"\"our\"\"]\",,,arXiv:2023.46176,10.4575/mnnN,Cell,2024,,,,Future-proofed didactic focus group\r\nLess present peace job pass garden officer. Simple according station ability. Share open back nothin,\"[{\"\"name\"\": \"\"Michael Conley\"\", \"\"affiliation\"\": \"\"Allison-Kline\"\", \"\"email\"\": \"\"omoore@example.org\"\"}, {\"\"name\"\":\",352,,,,\"Hines, Jordan and Fields\",\"[\"\"natural\"\", \"\"economic\"\", \"\"production\"\", \"\"win\"\", \"\"physical\"\"]\",,,arXiv:2020.65293,10.3277/Ufxp,Science,2020,,,,Expanded human-resource toolset\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2020\ntotal_revenue: 2603625\nunits_sold: 51574\nchannels:\n- name: retail\n  revenue: 1926384\n  growth: 34.29\n- name: online\n  revenue: 1062444\n  growth: -1.99\ntop_products:\n- sku: SKU-3818\n  sales: 48786\n- sku: SKU-7605\n  sales: 408187\n- sku: SKU-6728\n  sales: 223732\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from CSV to TOML:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 2780960, \"\"growth\"\": 22.76}, {\"\"name\"\": \"\"retail\"\", \"\"revenue\"\": 4140341, \",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-8636\"\", \"\"sales\"\": 261407}, {\"\"sku\"\": \"\"SKU-9950\"\", \"\"sales\"\": 107242}, {\"\"sku\"\": \"\"SKU-8311\"\", \"\"sa\",4317671,11582\r\nOffer for day fact. Candidate both political painting left charge. Resource movement take serve red.,\"[{\"\"name\"\": \"\"Robert Khan\"\", \"\"affiliation\"\": \"\"Johnson, Faulkner and Young\"\", \"\"email\"\": \"\"lorianderson@exampl\",,402,None,\"[\"\"great\"\", \"\"meet\"\", \"\"by\"\"]\",arXiv:2021.49528,,10.8172/rcFR,Cell,2024,Organized web-enabled Local Area Network,,,\r\nOf once listen relationship director page name various. Before new foreign always.,\"[{\"\"name\"\": \"\"Jennifer Brown\"\", \"\"affiliation\"\": \"\"Gordon, Bullock and Hall\"\", \"\"email\"\": \"\"michaelramirez@exam\",,193,None,\"[\"\"challenge\"\", \"\"on\"\", \"\"once\"\", \"\"fast\"\", \"\"view\"\"]\",arXiv:2023.72181,,10.8817/kYRi,Nature,2021,Upgradable asymmetric function,,,\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod = \"June 2021\"\ntotal_revenue = 4317671\nunits_sold = 11582\n[[channels]]\nname = \"wholesale\"\nrevenue = 2780960\ngrowth = 22.76\n\n[[channels]]\nname = \"retail\"\nrevenue = 4140341\ngrowth = -9.84\n\n[[top_products]]\nsku = \"SKU-8636\"\nsales = 261407\n\n[[top_products]]\nsku = \"SKU-9950\"\nsales = 107242\n\n[[top_products]]\nsku = \"SKU-8311\"\nsales = 494004\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-549878\nstudent_id: STU-264168\ncourse_id: CRS-6692\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 7\n  points_possible: 10\n- question: 2\n  points_earned: 1\n  points_possible: 10\n- question: 3\n  points_earned: 9\n  points_possible: 10\n- question: 4\n  points_earned: 1\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 1\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\ntotal_score: 70\npercentage: 54.38\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate course syllabus data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nschedule:\n- week: 1\n  topic: table\n- week: 2\n  topic: team\n- week: 3\n  topic: miss\n- week: 4\n  topic: face\n- week: 5\n  topic: sort\n- week: 6\n  topic: board\n- week: 7\n  topic: effect\n- week: 8\n  topic: still\n- week: 9\n  topic: training\n- week: 10\n  topic: different\ncode: GHC481\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\nterm: Spring 2020\ncredits: 4\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-791864\",\n  \"name\": \"Decentralized heuristic migration\",\n  \"category\": \"books\",\n  \"price\": 124.58,\n  \"currency\": \"USD\",\n  \"stock\": 601,\n  \"is_available\": true,\n  \"rating\": 3.59,\n  \"reviews\": 538,\n  \"specs\": {\n    \"weight_kg\": 9.83,\n    \"dimensions\": \"30x16x25cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-791864</product_id>\n<name>Decentralized heuristic migration</name>\n<category>books</category>\n<price>124.58</price>\n<currency>USD</currency>\n<stock>601</stock>\n<is_available>True</is_available>\n<rating>3.59</rating>\n<reviews>538</reviews>\n<specs>\n<weight_kg>9.83</weight_kg>\n<dimensions>30x16x25cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output transaction record as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-23430167\",\n  \"customer_id\": \"7fb2e914-3f0f-4c3f-abb9-ef22ed2c1064\",\n  \"timestamp\": \"2026-01-07T13:51:26.046328\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-63492\",\n      \"qty\": 1,\n      \"price\": 90.17\n    },\n    {\n      \"sku\": \"SKU-56350\",\n      \"qty\": 5,\n      \"price\": 336.79\n    }\n  ],\n  \"subtotal\": 152.9,\n  \"tax\": 14.6,\n  \"total\": 796.85,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nBrooks LLC,3.56,61265128,26.89,20.49,10426094,Q1 2020,30917299,HFOB\r\n\"Hudson, Gonzalez and Miller\",7.87,13398751,22.16,18.63,1487413,Q3 2023,35018610,CRCK\r\nStuart Ltd,5.56,30971314,21.6,17.05,16394087,Q2 2024,60394669,THVO\r\nColon-Collins,3.88,46847760,29.15,10.57,9946903,Q3 2020,53355151,HHLS\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncompany = \"Brooks LLC\"\nticker = \"HFOB\"\nquarter = \"Q1 2020\"\nrevenue = 30917299\nexpenses = 61265128\nnet_income = 10426094\neps = 3.56\n\n[metrics]\nprofit_margin = 26.89\nroe = 20.49\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need research paper details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.59325\"\ntitle = \"Centralized contextually-based website\"\nabstract = \"Mouth matter relate approach indicate evening myself. Chance for day Mrs sit begin. Pull machine structure reveal network.\"\nkeywords = [ \"produce\", \"participant\", \"analysis\",]\ncitations = 407\n[[authors]]\nname = \"John Robertson\"\naffiliation = \"Phillips-Fields\"\nemail = \"joshuaallen@example.org\"\n\n[[authors]]\nname = \"Anna Jackson\"\naffiliation = \"Rasmussen Group\"\nemail = \"danielsaustin@example.net\"\n\n[[authors]]\nname = \"Susan Hill\"\naffiliation = \"Davidson, Hoffman and Patrick\"\nemail = \"scottgallagher@example.org\"\n\n[publication]\nvenue = \"Science\"\nyear = 2022\ndoi = \"10.2487/ifKW\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-530397</assessment_id>\n<student_id>STU-509684</student_id>\n<course_id>CRS-8191</course_id>\n<type>quiz</type>\n<date>2026-01-01</date>\n<scores>\n<question>1</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>10</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>13</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>14</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>91</total_score>\n<percentage>61.03</percentage>\n<grade>A</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-530397\",\n  \"student_id\": \"STU-509684\",\n  \"course_id\": \"CRS-8191\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 14,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 91,\n  \"percentage\": 61.03,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9047593</result_id>\n<patient_mrn>MRN-478989</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>171.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>58.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>78.7</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>138.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>51.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-577861\nstudent_id: STU-664280\ncourse_id: CRS-8099\ntype: exam\ndate: '2026-01-06'\nscores:\n- question: 1\n  points_earned: 7\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 5\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 3\n  points_possible: 10\n- question: 6\n  points_earned: 0\n  points_possible: 10\n- question: 7\n  points_earned: 1\n  points_possible: 10\ntotal_score: 52\npercentage: 81.98\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\ncontract_id: CTR-504304\nparties:\n- name: Waters-Vega\n  role: party_a\n- name: Petty, Thompson and Dillon\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 50\nvalue: 407863\nstatus: executed\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-504304,2026-01-01,\"[{\"\"name\"\": \"\"Waters-Vega\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Petty, Thompson and Dillon\"\", \"\"role\"\": \"\"party_b\",executed,50,407863\r\nCTR-508948,2026-01-01,\"[{\"\"name\"\": \"\"Jones Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Stewart-Johnson\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,33,425897\r\nCTR-627668,2026-01-04,\"[{\"\"name\"\": \"\"Hester, Flowers and Hubbard\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Holland-Cunningham\"\", \"\"role\"\": \",pending,27,601243\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2309770</result_id>\n<patient_mrn>MRN-380513</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>62.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.2</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>75.4</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>174.6</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>170.1</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3409162</note_id>\n<patient>\n<mrn>MRN-721241</mrn>\n<age>35</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>173/107</bp>\n<hr>61</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-3409162\",\n  \"patient\": {\n    \"mrn\": \"MRN-721241\",\n    \"age\": 35,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"173/107\",\n    \"hr\": 61,\n    \"temp_f\": 99.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need customer review details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,And including still small soon speech somebody. While leave suddenly new quality soon democratic sho,,2026-01-02,24,,,,PROD-511563,5,REV-4098897,,,,,Out week hard serious measure million main.,1148f45c-7eab-43a5-bbf0-ac83d9e7a966,True\r\nclothing,,USD,,,True,Face-to-face zero tolerance service-desk,247.32,PROD-365132,2.33,,196,85x45x29cm,7.4,475,,,\r\nclothing,,USD,,,True,Business-focused incremental toolset,377.6,PROD-433545,2.12,,227,76x45x12cm,36.98,231,,,\r\nbooks,,USD,,,True,Business-focused reciprocal forecast,552.8,PROD-304485,4.42,,162,54x19x54cm,33.32,298,,,\r\nclothing,,USD,,,True,Virtual analyzing instruction set,436.6,PROD-181590,4.32,,304,43x16x59cm,42.56,183,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-84792693\"\ncustomer_id = \"e356879c-f937-4dc2-b10f-efded819a110\"\ntimestamp = \"2026-01-06T09:43:33.158562\"\nsubtotal = 1867.87\ntax = 14.9\ntotal = 1551.7\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-99661\"\nqty = 4\nprice = 457.18\n\n[[items]]\nsku = \"SKU-21675\"\nqty = 1\nprice = 347.06\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.87801\ntitle: Cross-group 24/7 methodology\nauthors:\n- name: Scott Webb\n  affiliation: Chapman LLC\n  email: juanbooth@example.com\n- name: Robert Mullins\n  affiliation: Robbins, Adkins and Rogers\n  email: michaeldunn@example.org\nabstract: Reality maybe court material response cell. Middle instead husband win thousand\n  collection.\nkeywords:\n- girl\n- face\n- protect\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.4960/byWV\ncitations: 193\nfunding_source: Williams Ltd\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-891981\"\nname = \"Focused background info-mediaries\"\ncategory = \"books\"\nprice = 16.4\ncurrency = \"USD\"\nstock = 192\nis_available = true\nrating = 3.23\nreviews = 117\n\n[specs]\nweight_kg = 31.51\ndimensions = \"65x39x62cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate research paper data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2020.66502\"\ntitle = \"Advanced static intranet\"\nabstract = \"History arrive catch drug north father might interview. Available night join accept cover measure many.\"\nkeywords = [ \"home\", \"institution\", \"both\", \"role\", \"character\",]\ncitations = 215\n[[authors]]\nname = \"Andrew Preston\"\naffiliation = \"Bradshaw-Lopez\"\nemail = \"sarahscott@example.net\"\n\n[[authors]]\nname = \"David Davis\"\naffiliation = \"Christian PLC\"\nemail = \"haleytony@example.org\"\n\n[[authors]]\nname = \"Anne Shaw\"\naffiliation = \"Edwards and Sons\"\nemail = \"hernandezmicheal@example.net\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2021\ndoi = \"10.4372/DMFa\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent: 'Capital way what customer unit skill. Arm bar occur article mouth enjoy.\n  Exactly approach mention single.\n\n  Strong who against entire.\n\n  Kid television artist dream back agency. Need main ago investment job behavior.'\npublished: '2026-01-03T04:54:27.964292'\nviews: 73181\nheadline: Vision-oriented analyzing groupware\nsection: Business\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"69ef512f-ddd4-415a-b99a-51e8f50d151c\",\n  \"timestamp\": \"2026-01-07T13:51:25.644182\",\n  \"level\": \"WARNING\",\n  \"service\": \"fillService\",\n  \"message\": \"Minute heart focus arrive.\",\n  \"stack_trace\": [\n    \"at administration.py:211\",\n    \"at lawyer.py:276\",\n    \"at discussion.py:115\"\n  ],\n  \"context\": {\n    \"user_id\": \"29c6c678-1224-4e33-8bc1-e94776cd4eb2\",\n    \"request_id\": \"42e054d1-48f9-4a1c-ad7b-82ed505d6250\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>69ef512f-ddd4-415a-b99a-51e8f50d151c</error_id>\n<timestamp>2026-01-07T13:51:25.644182</timestamp>\n<level>WARNING</level>\n<service>fillService</service>\n<message>Minute heart focus arrive.</message>\n<stack_trace>at administration.py:211</stack_trace>\n<stack_trace>at lawyer.py:276</stack_trace>\n<stack_trace>at discussion.py:115</stack_trace>\n<context>\n<user_id>29c6c678-1224-4e33-8bc1-e94776cd4eb2</user_id>\n<request_id>42e054d1-48f9-4a1c-ad7b-82ed505d6250</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following TOML to XML:\nreview_id = \"REV-9982202\"\nproduct_id = \"PROD-452864\"\nuser_id = \"015289de-7f3e-45e2-b1d0-7fe22aff92a9\"\nrating = 3\ntitle = \"Example center fill free.\"\ncontent = \"North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.\"\ndate = \"2026-01-04\"\nverified_purchase = false\nhelpful_votes = 34\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9982202</review_id>\n<product_id>PROD-452864</product_id>\n<user_id>015289de-7f3e-45e2-b1d0-7fe22aff92a9</user_id>\n<rating>3</rating>\n<title>Example center fill free.</title>\n<content>North describe old attention usually third. Important wish security ago somebody remain everyone modern. Significant chair place throughout study administration American.</content>\n<date>2026-01-04</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nXMJ312,CRS-3741,4,40,30,30,Rachel Diaz,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"body\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"rather\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"song\"\"}, {\"\"week\"\"\",Fall 2021,Managed incremental focus group 101\r\nHBZ459,CRS-4250,3,40,30,30,Stephanie Leon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"dark\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"someone\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"bag\"\"}, {\"\"week\"\"\",Fall 2021,Stand-alone disintermediate circuit 101\r\nAFF413,CRS-8188,4,40,30,30,Keith Mcmahon,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"half\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"because\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"issue\"\"}, {\"\"wee\",Spring 2022,Expanded clear-thinking implementation 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-4513\",\n  \"code\": \"NEE477\",\n  \"title\": \"Exclusive bottom-line artificial intelligence 101\",\n  \"instructor\": \"Jaime Roman\",\n  \"credits\": 3,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"marriage\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"wonder\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"system\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"order\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"very\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"laugh\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"practice\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"sister\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"join\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"expect\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n,CBC,MRN-337496,LAB-2862772,\r\n2026-01-04,Lipid,MRN-341100,LAB-1041760,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 137.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-05,CBC,MRN-117376,LAB-4050348,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 51.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 175.\"\r\n2026-01-02,Lipid,MRN-152456,LAB-2052336,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 102.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,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"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-830951</product_id>\n<name>Multi-layered tangible superstructure</name>\n<category>clothing</category>\n<price>269.31</price>\n<currency>USD</currency>\n<stock>322</stock>\n<is_available>True</is_available>\n<rating>2.21</rating>\n<reviews>733</reviews>\n<specs>\n<weight_kg>46.04</weight_kg>\n<dimensions>75x77x31cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"txn_id\": \"TXN-20904368\",\n  \"customer_id\": \"3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\",\n  \"timestamp\": \"2026-01-07T13:51:27.778783\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-59380\",\n      \"qty\": 2,\n      \"price\": 447.63\n    },\n    {\n      \"sku\": \"SKU-56357\",\n      \"qty\": 4,\n      \"price\": 130.56\n    },\n    {\n      \"sku\": \"SKU-96740\",\n      \"qty\": 2,\n      \"price\": 230.78\n    },\n    {\n      \"sku\": \"SKU-55928\",\n      \"qty\": 1,\n      \"price\": 169.07\n    }\n  ],\n  \"subtotal\": 1853.52,\n  \"tax\": 74.51,\n  \"total\": 1419.49,\n  \"payment_method\": \"apple_pay\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-4526244\nproduct_id: PROD-472796\nuser_id: d6aaa9d3-89d1-4f04-afb6-0c81ca1eaf74\nrating: 2\ntitle: Control account commercial small.\ncontent: 'Game open idea practice word theory. Face power cultural money.\n\n  Indeed continue heart season. View against position more say end course. Situation\n  hope enjoy around.'\ndate: '2026-01-04'\nverified_purchase: true\nhelpful_votes: 18\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Horizontal interactive project API\"\nversion = \"1.0.0\"\n\n[paths.\"/base\".get]\nsummary = \"Management send father actually special image.\"\n[[paths.\"/base\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/base\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/base\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-856861\"\ntitle = \"Effect of human on mind\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 28.11\nendpoint = 88.5\np_value = 0.1314\n\n[[results]]\nmetric = \"safety\"\nbaseline = 62.09\nendpoint = 65.7\np_value = 0.14\n\n[[results]]\nmetric = \"safety\"\nbaseline = 60.49\nendpoint = 33.68\np_value = 0.2083\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 78.01\nendpoint = 33.1\np_value = 0.3496\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 440\nduration_days = 225\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-9001624\",\n  \"patient_mrn\": \"MRN-695608\",\n  \"prescriber\": \"Stephen Davis\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9001624</rx_id>\n<patient_mrn>MRN-695608</patient_mrn>\n<prescriber>Stephen Davis</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this CSV data into YAML format:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-370819,2026-01-01,\"[{\"\"name\"\": \"\"Stewart, Thompson and Rogers\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jackson, Griffin and Flowers\",active,13,109351\r\nCTR-476557,2026-01-05,\"[{\"\"name\"\": \"\"Johnson-Pierce\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ramirez-Gonzalez\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,55,365110\r\nCTR-277604,2026-01-05,\"[{\"\"name\"\": \"\"Sanchez Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Smith, French and Marshall\"\", \"\"role\"\": \"\"party\",executed,29,419347\r\nCTR-129475,2026-01-05,\"[{\"\"name\"\": \"\"Phillips PLC\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Schaefer Ltd\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,39,717385\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from CSV to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-370819\nparties:\n- name: Stewart, Thompson and Rogers\n  role: party_a\n- name: Jackson, Griffin and Flowers\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 13\nvalue: 109351\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nrating = 5\nreview_id = \"REV-2205395\"\ncontent = \"Respond order far story by area affect. Important also catch down choice office necessary political. Firm along bar.\\nStuff create including star question traditional reflect. Share fast thought.\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrating: 5\nreview_id: REV-2205395\ncontent: 'Respond order far story by area affect. Important also catch down choice\n  office necessary political. Firm along bar.\n\n  Stuff create including star question traditional reflect. Share fast thought.'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Torres, Foley and French\",8.95,77360154,26.14,10.7,1170225,Q3 2021,29498696,PUPR\r\nWilliams Inc,7.22,77334110,22.84,15.94,16225487,Q2 2022,72606208,NGKL\r\n\"Hebert, Nguyen and Castaneda\",7.82,57852303,9.39,18.78,4540329,Q3 2022,93371766,QNWP\r\nLee-Taylor,0.66,28038853,6.66,20.15,4973039,Q2 2024,88157979,FCOO\r\nTaylor-James,0.88,22853195,18.03,12.71,16980314,Q4 2023,48347893,VTZM\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this XML data into YAML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1681251</review_id>\n<product_id>PROD-380005</product_id>\n<user_id>6ee75bbe-7aec-42b2-b8ce-db908c5fbc3a</user_id>\n<rating>3</rating>\n<title>Floor measure may hear dark at.</title>\n<content>Us board wonder trouble. Up as inside party growth seat. College late direction amount best team.\nFish gas end appear mother assume. Anyone major game miss similar argue. Moment describe require.</content>\n<date>2026-01-05</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>21</helpful_votes>\n</customer_review>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nreview_id: REV-1681251\nproduct_id: PROD-380005\nuser_id: 6ee75bbe-7aec-42b2-b8ce-db908c5fbc3a\nrating: 3\ntitle: Floor measure may hear dark at.\ncontent: 'Us board wonder trouble. Up as inside party growth seat. College late direction\n  amount best team.\n\n  Fish gas end appear mother assume. Anyone major game miss similar argue. Moment\n  describe require.'\ndate: '2026-01-05'\nverified_purchase: true\nhelpful_votes: 21\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/next_get_parameters,paths_/next_get_responses_200_description,paths_/next_get_responses_400_description,paths_/next_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Distributed high-level website API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Movie my movie common adult.,,,,\r\nProvide out moment hair. Not bed forward herself know fear remember.,\"[{\"\"name\"\": \"\"Ernest Rivera\"\", \"\"affiliation\"\": \"\"Sanchez PLC\"\", \"\"email\"\": \"\"jason82@example.org\"\"}, {\"\"name\"\": \"\"\",189,None,,,\"[\"\"she\"\", \"\"north\"\", \"\"yard\"\", \"\"pay\"\"]\",,arXiv:2022.19116,,,,,10.2959/AGvq,Cell,2021,Open-source disintermediate instruction set\r\nHand maybe capital begin support. Position capital put once increase believe design understand.,\"[{\"\"name\"\": \"\"Joseph Washington\"\", \"\"affiliation\"\": \"\"Garcia-Schultz\"\", \"\"email\"\": \"\"fernandezcharles@example.n\",68,None,,,\"[\"\"those\"\", \"\"choice\"\", \"\"manager\"\", \"\"body\"\", \"\"director\"\"]\",,arXiv:2022.27549,,,,,10.8651/IiBa,Nature,2020,Synergistic 3rdgeneration firmware\r\nNation we year economic special. North staff seven coach.,\"[{\"\"name\"\": \"\"Natasha Murray\"\", \"\"affiliation\"\": \"\"Black-Horn\"\", \"\"email\"\": \"\"vgutierrez@example.net\"\"}, {\"\"name\"\"\",454,Bryan Group,,,\"[\"\"question\"\", \"\"building\"\", \"\"cultural\"\", \"\"war\"\", \"\"imagine\"\"]\",,arXiv:2021.57504,,,,,10.8712/WVkt,Cell,2022,Multi-tiered high-level framework\r\n\"Add often take energy practice lot section of. Matter occur number natural per.\nAuthority in everyon\",\"[{\"\"name\"\": \"\"Brad Ward\"\", \"\"affiliation\"\": \"\"Martin PLC\"\", \"\"email\"\": \"\"fhernandez@example.org\"\"}, {\"\"name\"\": \"\"Ke\",410,James Ltd,,,\"[\"\"he\"\", \"\"box\"\", \"\"carry\"\", \"\"explain\"\"]\",,arXiv:2024.55685,,,,,10.2992/MJNk,Cell,2021,Enhanced stable migration\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Distributed high-level website API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</next>\n<get>\n<summary>Movie my movie common adult.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//next>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nPrice while never. Night great must well remain. Share less reveal often.,\"[{\"\"name\"\": \"\"Meagan Sutton\"\", \"\"affiliation\"\": \"\"Williamson, Mitchell and Smith\"\", \"\"email\"\": \"\"davilabridget@\",155,None,\"[\"\"less\"\", \"\"radio\"\", \"\"spend\"\", \"\"which\"\"]\",arXiv:2024.31964,10.4651/vEqE,Science,2023,Optimized solution-oriented success\r\nBack after own. Church go before group wife. Can else along election.,\"[{\"\"name\"\": \"\"Stephanie Mcdaniel\"\", \"\"affiliation\"\": \"\"Allen PLC\"\", \"\"email\"\": \"\"carpenterbrittany@example.net\"\"\",412,None,\"[\"\"focus\"\", \"\"name\"\", \"\"beautiful\"\"]\",arXiv:2023.87185,10.2442/PvlY,Science,2023,De-engineered object-oriented algorithm\r\nKid grow drive system arrive reflect. Usually cost early suddenly box. Air crime bring.,\"[{\"\"name\"\": \"\"Karen Mcgee DDS\"\", \"\"affiliation\"\": \"\"Leblanc, Thompson and Sanchez\"\", \"\"email\"\": \"\"kingderrick@e\",79,\"Williams, Hodge and Simmons\",\"[\"\"among\"\", \"\"them\"\", \"\"stand\"\"]\",arXiv:2020.49913,10.1185/DvlS,Nature,2020,Inverse systemic emulation\r\nMeeting effect memory environmental three buy life. Participant foreign best citizen base top. Last ,\"[{\"\"name\"\": \"\"William Foster\"\", \"\"affiliation\"\": \"\"Baker, Clark and Henderson\"\", \"\"email\"\": \"\"christopher55@exa\",89,Rodriguez-Murphy,\"[\"\"itself\"\", \"\"choose\"\", \"\"front\"\"]\",arXiv:2021.69166,10.6861/LyFY,Cell,2022,Face-to-face even-keeled Graphical User Interface\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nProperty political your form stand cup blood. Business later seem sea represent enough relationship ,39,8599,93,\"[\"\"#red\"\", \"\"#hotel\"\", \"\"#create\"\"]\",instagram,POST-94493547,2026-01-07T13:51:27.134920,ebddd714-2a63-4fd6-985c-fb7fe32db0b4,laura52\r\nSon toward go throw among option. Continue fast imagine positive season democratic fast building. So,374,9762,712,\"[\"\"#board\"\", \"\"#outside\"\", \"\"#occur\"\"]\",instagram,POST-88077774,2026-01-07T13:51:27.136345,c504caad-2771-4a2f-9070-12ad3881a39a,ithomas\r\n\"Foreign first choose exactly model. Goal forward bag wait whose economic.\nStock record national prac\",169,2403,949,\"[\"\"#enjoy\"\", \"\"#to\"\", \"\"#question\"\", \"\"#fact\"\"]\",twitter,POST-91980363,2026-01-07T13:51:27.136740,d7264e70-abe4-432b-8521-166eca52a6df,kendrahorton\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output financial report as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Woods and Sons</company>\n<ticker>ZCNM</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>42196406</revenue>\n<expenses>48284794</expenses>\n<net_income>2937548</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>12.42</profit_margin>\n<roe>23.86</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-5796495\",\n  \"patient_mrn\": \"MRN-496025\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 74.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 68.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 121.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 142.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5796495</result_id>\n<patient_mrn>MRN-496025</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>74.9</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>68.3</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>121.2</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.6</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need customer review details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,\"Hair administration anyone religious.\nMorning significant may town. Serious treatment enter forward.\",,2026-01-05,85,,,,PROD-588856,2,REV-4514191,,,,,Claim speech understand traditional.,1a27df55-099e-4966-83e2-5d97cc84901c,False\r\nclothing,,USD,,,True,Distributed 3rdgeneration ability,198.83,PROD-507988,1.37,,605,30x50x67cm,38.67,906,,,\r\nelectronics,,USD,,,True,Re-engineered foreground interface,29.59,PROD-898321,1.65,,254,65x24x23cm,2.66,851,,,\r\nclothing,,USD,,,True,Centralized local solution,215.75,PROD-854236,2.65,,255,67x34x37cm,35.03,484,,,\r\nelectronics,,USD,,,True,Face-to-face secondary service-desk,867.85,PROD-973218,4.35,,761,43x45x10cm,36.65,156,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nauthor = \"Jenna Bryant\"\ntags = [ \"most\", \"off\", \"shoulder\",]\nheadline = \"Secured composite leverage\"\npublished = \"2026-01-04T22:19:16.750289\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6224145</note_id>\n<patient>\n<mrn>MRN-560569</mrn>\n<age>88</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-04</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>119/73</bp>\n<hr>63</hr>\n<temp_f>100.0</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I32</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-6224145\",\n  \"patient\": {\n    \"mrn\": \"MRN-560569\",\n    \"age\": 88,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-04\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"119/73\",\n    \"hr\": 63,\n    \"temp_f\": 100.0\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"hypertension\",\n      \"icd10\": \"I32\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Re-contextualized explicit infrastructure API\"\nversion = \"1.0.0\"\n\n[paths.\"/glass\".get]\nsummary = \"Television town compare size simply purpose.\"\n[[paths.\"/glass\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/glass\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/glass\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/glass\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/glass\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2020</period>\n<total_revenue>2603625</total_revenue>\n<units_sold>51574</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1926384</revenue>\n<growth>34.29</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1062444</revenue>\n<growth>-1.99</growth>\n</channels>\n<top_products>\n<sku>SKU-3818</sku>\n<sales>48786</sales>\n</top_products>\n<top_products>\n<sku>SKU-7605</sku>\n<sales>408187</sales>\n</top_products>\n<top_products>\n<sku>SKU-6728</sku>\n<sales>223732</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"June 2020\",\n  \"total_revenue\": 2603625,\n  \"units_sold\": 51574,\n  \"channels\": [\n    {\n      \"name\": \"retail\",\n      \"revenue\": 1926384,\n      \"growth\": 34.29\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 1062444,\n      \"growth\": -1.99\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-3818\",\n      \"sales\": 48786\n    },\n    {\n      \"sku\": \"SKU-7605\",\n      \"sales\": 408187\n    },\n    {\n      \"sku\": \"SKU-6728\",\n      \"sales\": 223732\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from CSV to YAML:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-760727,2026-01-04,\"[{\"\"name\"\": \"\"King, Moore and Vazquez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Brown, Henry and Craig\"\", \"\"role\"\": \",active,15,170545\r\nCTR-547536,2026-01-05,\"[{\"\"name\"\": \"\"Sharp Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Wilson, Holt and West\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,20,668248\r\nCTR-742271,2026-01-04,\"[{\"\"name\"\": \"\"Pena, Boyd and Maddox\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hernandez, Choi and Vargas\"\", \"\"role\"\"\",pending,32,703590\r\nCTR-874419,2026-01-06,\"[{\"\"name\"\": \"\"Orozco Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Holland, Wood and Hill\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,51,284408\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from CSV to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontract_id: CTR-760727\nparties:\n- name: King, Moore and Vazquez\n  role: party_a\n- name: Brown, Henry and Craig\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 15\nvalue: 170545\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Re-engineered mobile superstructure API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/benefit\": {\n      \"get\": {\n        \"summary\": \"Chair media space recognize doctor would second me\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2020.65510\",\n  \"title\": \"Mandatory solution-oriented groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Jared Fuller\",\n      \"affiliation\": \"Robinson, Crawford and Johnson\",\n      \"email\": \"jenna58@example.net\"\n    },\n    {\n      \"name\": \"Nancy Anderson\",\n      \"affiliation\": \"Shannon-Johnson\",\n      \"email\": \"richdonald@example.net\"\n    },\n    {\n      \"name\": \"Julia Neal\",\n      \"affiliation\": \"Roach, Harper and Cameron\",\n      \"email\": \"gillcory@example.com\"\n    }\n  ],\n  \"abstract\": \"Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.\",\n  \"keywords\": [\n    \"surface\",\n    \"consumer\",\n    \"despite\",\n    \"compare\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2022,\n    \"doi\": \"10.8909/Qnkv\"\n  },\n  \"citations\": 488,\n  \"funding_source\": \"Johnson LLC\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.65510</paper_id>\n<title>Mandatory solution-oriented groupware</title>\n<authors>\n<name>Jared Fuller</name>\n<affiliation>Robinson, Crawford and Johnson</affiliation>\n<email>jenna58@example.net</email>\n</authors>\n<authors>\n<name>Nancy Anderson</name>\n<affiliation>Shannon-Johnson</affiliation>\n<email>richdonald@example.net</email>\n</authors>\n<authors>\n<name>Julia Neal</name>\n<affiliation>Roach, Harper and Cameron</affiliation>\n<email>gillcory@example.com</email>\n</authors>\n<abstract>Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.</abstract>\n<keywords>surface</keywords>\n<keywords>consumer</keywords>\n<keywords>despite</keywords>\n<keywords>compare</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2022</year>\n<doi>10.8909/Qnkv</doi>\n</publication>\n<citations>488</citations>\n<funding_source>Johnson LLC</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninfo:\n  title: Triple-buffered user-facing approach API\n  version: 1.0.0\nopenapi: 3.0.0\npaths:\n  /agency:\n    get:\n      summary: Writer crime whose enjoy admit go the.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Re-contextualized explicit infrastructure API\n  version: 1.0.0\npaths:\n  /glass:\n    get:\n      summary: Television town compare size simply purpose.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.21424</paper_id>\n<title>Cross-platform fault-tolerant circuit</title>\n<authors>\n<name>Charlotte Sellers</name>\n<affiliation>Armstrong-Marks</affiliation>\n<email>weaverelizabeth@example.com</email>\n</authors>\n<authors>\n<name>Cynthia Johnston MD</name>\n<affiliation>Rogers Inc</affiliation>\n<email>ccastaneda@example.org</email>\n</authors>\n<authors>\n<name>Robert Velasquez</name>\n<affiliation>Alvarado LLC</affiliation>\n<email>psullivan@example.net</email>\n</authors>\n<abstract>Truth himself long country car environment. Free design relate hope admit learn identify.</abstract>\n<keywords>share</keywords>\n<keywords>feeling</keywords>\n<keywords>environmental</keywords>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6091/Sfwn</doi>\n</publication>\n<citations>477</citations>\n<funding_source>Barker-Wise</funding_source>\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.21424\",\n  \"title\": \"Cross-platform fault-tolerant circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Charlotte Sellers\",\n      \"affiliation\": \"Armstrong-Marks\",\n      \"email\": \"weaverelizabeth@example.com\"\n    },\n    {\n      \"name\": \"Cynthia Johnston MD\",\n      \"affiliation\": \"Rogers Inc\",\n      \"email\": \"ccastaneda@example.org\"\n    },\n    {\n      \"name\": \"Robert Velasquez\",\n      \"affiliation\": \"Alvarado LLC\",\n      \"email\": \"psullivan@example.net\"\n    }\n  ],\n  \"abstract\": \"Truth himself long country car environment. Free design relate hope admit learn identify.\",\n  \"keywords\": [\n    \"share\",\n    \"feeling\",\n    \"environmental\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6091/Sfwn\"\n  },\n  \"citations\": 477,\n  \"funding_source\": \"Barker-Wise\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-2983714\",\n  \"patient_mrn\": \"MRN-369371\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 97.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 60.0,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 172.2,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 145.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 83.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\ntitle: 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"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from YAML to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<title>Effect of main on stand</title>\n<results>\n<metric>efficacy</metric>\n<baseline>50.39</baseline>\n<endpoint>61.09</endpoint>\n<p_value>0.3936</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>99.02</baseline>\n<endpoint>82.38</endpoint>\n<p_value>0.0752</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>94.16</baseline>\n<endpoint>58.56</endpoint>\n<p_value>0.1239</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>41.74</baseline>\n<endpoint>45.99</endpoint>\n<p_value>0.0661</p_value>\n</results>\n<experiment_id>EXP-681166</experiment_id>\n<methodology>\n<design>RCT</design>\n<sample_size>875</sample_size>\n<duration_days>212</duration_days>\n</methodology>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output social media post as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-86945311\"\nplatform = \"facebook\"\nuser_id = \"b9da037c-f6cd-4ced-8c95-ca7562cf6118\"\nusername = \"martinsteven\"\ncontent = \"Forget late prevent year cold able arrive. Few possible himself sing community. Activity campaign sure south. Chance on none line best magazine education.\"\ntimestamp = \"2026-01-07T13:51:26.810240\"\nhashtags = [ \"#drop\", \"#consider\", \"#nature\", \"#all\",]\n\n[engagement]\nlikes = 3344\nshares = 900\ncomments = 482\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8136358,Brian White,\"Give model worry sense. Including reflect teacher near image.\nCulture kitchen run first would. Agenc\",Realigned multimedia paradigm,2026-01-02T14:21:25.908532,Sports,4175,\"[\"\"involve\"\", \"\"service\"\", \"\"along\"\", \"\"stand\"\"]\",7987\r\nART-1729821,Keith Hendricks,\"Within wife start clearly million space. Example begin catch base take person remember.\nNext certain\",Adaptive zero administration standardization,2026-01-05T12:10:52.562102,Sports,2950,\"[\"\"analysis\"\", \"\"data\"\", \"\"small\"\", \"\"dream\"\"]\",59738\r\nART-8193413,Rebecca Davis,\"Consumer run they.\nSuggest same require technology. Film magazine top power very throughout despite.\",Multi-channeled intangible implementation,2026-01-06T16:06:46.231980,Tech,1471,\"[\"\"likely\"\", \"\"imagine\"\", \"\"ready\"\", \"\"apply\"\"]\",45097\r\nART-9940568,Brooke Sandoval,\"Receive computer check area allow. Small official civil in bring marriage.\nOpportunity cold idea eff\",Implemented explicit definition,2026-01-01T14:11:50.207239,Sports,2421,\"[\"\"region\"\", \"\"exist\"\", \"\"wide\"\"]\",76796\r\nART-2215239,Diane Summers,Ten idea everything magazine image condition. Explain ability chance. Thing identify money audience ,Digitized interactive artificial intelligence,2026-01-04T00:42:58.861774,Business,4315,\"[\"\"moment\"\", \"\"television\"\", \"\"series\"\"]\",86773\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K58\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I64\"\"}]\",fever,2026-01-02,CN-3998475,22,F,MRN-459969,156/100,101,98.4\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I57\"\"}]\",headache,2026-01-02,CN-8279953,88,M,MRN-299782,107/65,78,99.6\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I57\"\"}]\",chest pain,2026-01-03,CN-3090699,36,F,MRN-809697,142/67,103,97.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J84\"\"}]\",fever,2026-01-01,CN-8546373,40,F,MRN-431907,94/103,101,99.9\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I54\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J28\"\"}]\",fever,2026-01-05,CN-4031300,37,M,MRN-592756,146/110,78,99.3\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output customer review as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-3637179</review_id>\n<product_id>PROD-905516</product_id>\n<user_id>cbc145e7-7f32-438c-ba90-61711bf65a15</user_id>\n<rating>1</rating>\n<title>Hand ok join you population.</title>\n<content>Develop particularly receive thing process sister source. Ago short fact start meeting note need. However music factor my million scene use.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>42</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2024\"\ntotal_revenue = 3108970\nunits_sold = 70292\n[[channels]]\nname = \"online\"\nrevenue = 1867975\ngrowth = -2.95\n\n[[channels]]\nname = \"retail\"\nrevenue = 1947932\ngrowth = 22.54\n\n[[top_products]]\nsku = \"SKU-5409\"\nsales = 492017\n\n[[top_products]]\nsku = \"SKU-4816\"\nsales = 486050\n\n[[top_products]]\nsku = \"SKU-9957\"\nsales = 44038\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-31892506</txn_id>\n<customer_id>6c5d6d8e-2901-438d-be6d-be57a13ea5ab</customer_id>\n<timestamp>2026-01-07T13:51:25.485684</timestamp>\n<items>\n<sku>SKU-80058</sku>\n<qty>4</qty>\n<price>142.37</price>\n</items>\n<items>\n<sku>SKU-53232</sku>\n<qty>1</qty>\n<price>151.54</price>\n</items>\n<subtotal>692.94</subtotal>\n<tax>100.91</tax>\n<total>1647.14</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output course syllabus as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-3744\"\ncode = \"HGI435\"\ntitle = \"Organized context-sensitive budgetary management 101\"\ninstructor = \"Pamela Rose\"\ncredits = 3\nterm = \"Spring 2024\"\n[[schedule]]\nweek = 1\ntopic = \"answer\"\n\n[[schedule]]\nweek = 2\ntopic = \"very\"\n\n[[schedule]]\nweek = 3\ntopic = \"center\"\n\n[[schedule]]\nweek = 4\ntopic = \"standard\"\n\n[[schedule]]\nweek = 5\ntopic = \"bank\"\n\n[[schedule]]\nweek = 6\ntopic = \"leader\"\n\n[[schedule]]\nweek = 7\ntopic = \"realize\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Upgradable 4thgeneration middleware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</pass>\n<get>\n<summary>Story amount nor bed night get message.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//pass>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9000301\npatient_mrn: MRN-734100\norder_date: '2026-01-02'\npanel: CMP\nresults:\n- test: Glucose\n  value: 107.8\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 131.5\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 112.3\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 61.0\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 55.5\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output lab result as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresults:\n- test: Hemoglobin\n  value: 124.8\n  unit: g/dL\n  flag: low\n- test: Glucose\n  value: 176.1\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 198.8\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 69.8\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 139.1\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 71.4\n  unit: g/dL\n  flag: normal\n- test: Hemoglobin\n  value: 167.9\n  unit: mg/dL\n  flag: low\nresult_id: LAB-3472932\npanel: CBC\npatient_mrn: MRN-325515\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-740510,William Hebert,RX-7328466\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastat\",MRN-724944,Lori Hoffman,RX-4648169\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-660152,Spencer Jones,RX-2159087\r\n2026-01-02,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopril\"\"\",MRN-977247,Dawn Landry,RX-8707601\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Law fund huge better or. Federal forward north law. Work available call never.\nCarry cultural day fr\",\"[{\"\"name\"\": \"\"Jennifer Gray\"\", \"\"affiliation\"\": \"\"Bryant, Lewis and Wells\"\", \"\"email\"\": \"\"spalmer@example.com\"\"}\",45,None,\"[\"\"wind\"\", \"\"wife\"\", \"\"report\"\", \"\"financial\"\"]\",arXiv:2020.93852,10.1277/DPuH,Cell,2023,Reactive solution-oriented circuit\r\nPoor mother allow place various fight push guess. Possible note on child place mouth.,\"[{\"\"name\"\": \"\"Victoria Wells\"\", \"\"affiliation\"\": \"\"Butler, Duran and Ramos\"\", \"\"email\"\": \"\"kathypage@example.or\",433,\"Case, Green and Kline\",\"[\"\"rich\"\", \"\"show\"\", \"\"design\"\"]\",arXiv:2024.38203,10.6937/xeQy,Nature,2020,Open-source analyzing open architecture\r\nAlmost true director everything. Realize commercial picture bed. East west plant such which receive.,\"[{\"\"name\"\": \"\"William Ferguson\"\", \"\"affiliation\"\": \"\"Baxter-Conley\"\", \"\"email\"\": \"\"kaiserkevin@example.org\"\"}, {\",48,None,\"[\"\"support\"\", \"\"care\"\", \"\"place\"\", \"\"some\"\", \"\"sound\"\"]\",arXiv:2024.97741,10.1731/NdTy,Nature,2024,Persistent fault-tolerant attitude\r\nTime key choice need brother young. Beyond special professional have however if situation available.,\"[{\"\"name\"\": \"\"Patrick Wagner\"\", \"\"affiliation\"\": \"\"Davis, Wells and Harrison\"\", \"\"email\"\": \"\"lcook@example.com\"\"\",35,None,\"[\"\"avoid\"\", \"\"field\"\", \"\"audience\"\", \"\"draw\"\"]\",arXiv:2020.64952,10.2522/UKQb,Nature,2022,Realigned empowering secured line\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrating: 2\nverified_purchase: true\nhelpful_votes: 29\ndate: '2026-01-01'\nuser_id: ed843147-0604-46c9-98b2-def8aa0c8a20\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-232060\"\ntitle = \"Effect of address on great\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 21.21\nendpoint = 55.1\np_value = 0.2589\n\n[[results]]\nmetric = \"safety\"\nbaseline = 20.35\nendpoint = 73.96\np_value = 0.4316\n\n[[results]]\nmetric = \"safety\"\nbaseline = 68.94\nendpoint = 84.29\np_value = 0.2084\n\n[methodology]\ndesign = \"observational\"\nsample_size = 336\nduration_days = 265\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output transaction record as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"items\": [\n    {\n      \"sku\": \"SKU-71565\",\n      \"qty\": 1,\n      \"price\": 387.38\n    },\n    {\n      \"sku\": \"SKU-23891\",\n      \"qty\": 1,\n      \"price\": 432.74\n    },\n    {\n      \"sku\": \"SKU-77840\",\n      \"qty\": 1,\n      \"price\": 463.12\n    },\n    {\n      \"sku\": \"SKU-27496\",\n      \"qty\": 3,\n      \"price\": 295.3\n    }\n  ],\n  \"tax\": 39.55,\n  \"total\": 1865.58,\n  \"customer_id\": \"bf96f80b-072c-4f04-82b0-c235c01681a8\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-395513,,CRS-9678,,2026-01-05,B,,,,,73.27,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 2, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 2, \"\"po\",STU-179032,,,85,quiz\r\n,JYA497,CRS-3859,4,,,40,30,30,Shelly Silva,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"one\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"white\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"consider\"\"}, {\"\"wee\",,,Fall 2023,Realigned clear-thinking capacity 101,,\r\n,DWA320,CRS-3596,4,,,40,30,30,Mrs. Carrie Reed MD,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"region\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"nothing\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"learn\"\"}, {\"\"w\",,,Fall 2021,Open-source clear-thinking circuit 101,,\r\n,WPH143,CRS-4911,3,,,40,30,30,Linda Kim,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"important\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"cost\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"resource\"\"}, \",,,Spring 2023,Face-to-face disintermediate Local Area Network 101,,\r\n,ELR154,CRS-8026,3,,,40,30,30,Matthew Madden,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"factor\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"behind\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"treatment\"\"}, \",,,Spring 2021,Multi-layered systematic intranet 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-7856634\nheadline: Phased holistic hub\nauthor: Leah Rice\npublished: '2026-01-05T21:04:15.271558'\nsection: Sports\ncontent: 'Majority focus themselves discuss. Open war believe soon budget use treatment\n  believe. Road response all focus exactly open wrong happy.\n\n  Become what list show relationship. According scientist take they bag college. Right\n  effect million.'\ntags:\n- lot\n- foreign\n- nearly\nviews: 47314\nshares: 4104\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following YAML to CSV:\nresult_id: LAB-5796495\npatient_mrn: MRN-496025\norder_date: '2026-01-06'\npanel: Lipid\nresults:\n- test: Hemoglobin\n  value: 74.9\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 68.3\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 121.2\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 142.6\n  unit: g/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,Lipid,MRN-496025,LAB-5796495,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 74.9, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-01,CBC,MRN-219986,LAB-5822541,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 106.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 170.6, \"\r\n2026-01-04,Lipid,MRN-895724,LAB-5047000,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 120.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 1\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-1565761</rx_id>\n<patient_mrn>MRN-226686</patient_mrn>\n<prescriber>Regina Martin</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>60</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-1565761\",\n  \"patient_mrn\": \"MRN-226686\",\n  \"prescriber\": \"Regina Martin\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\n,2026-01-01,95,,,REV-5250684,Career hospital always money word day.,,False\r\nThough defense civil against body your girl. Final special tend. Window rather easy institution stor,2026-01-04,33,PROD-191957,4,REV-3794531,Prepare example without.,cabaf4d9-6f13-4e2e-855b-a2fdefcc5324,True\r\nLay political production performance especially middle town. Raise style campaign must there agency ,2026-01-02,78,PROD-572585,3,REV-2056321,Capital road sport meet.,efc9f489-7f26-4018-a772-9bfd4f8e190d,True\r\nToward near treat couple dinner wide red. Yeah return follow current bring. Within president chair f,2026-01-04,66,PROD-844219,5,REV-2246956,Drive both clear rather.,e8a2c86c-e4c9-4200-ab68-7a3c3a039bfb,True\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate error log data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 8ef553f5-74fa-47eb-bfcb-571b6fa73c35\ntimestamp: '2026-01-07T13:51:27.105544'\nlevel: WARNING\nservice: radioService\nmessage: Professional pull soon.\nstack_trace:\n- at eye.py:220\n- at short.py:148\n- at the.py:448\ncontext:\n  user_id: 162209b9-e3ae-4c7a-af39-f96af44cdcaa\n  request_id: a05e806a-f592-4611-8d80-dbe2773bec40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following JSON to TOML:\n{\n  \"paper_id\": \"arXiv:2023.47681\",\n  \"title\": \"Devolved bi-directional info-mediaries\",\n  \"authors\": [\n    {\n      \"name\": \"Christian Randolph\",\n      \"affiliation\": \"Hunt-Haynes\",\n      \"email\": \"patrickmaddox@example.net\"\n    },\n    {\n      \"name\": \"Allen Lewis\",\n      \"affiliation\": \"Owen PLC\",\n      \"email\": \"alexanderhenry@example.net\"\n    },\n    {\n      \"name\": \"Cody Martin\",\n      \"affiliation\": \"Mcknight PLC\",\n      \"email\": \"michael00@example.org\"\n    }\n  ],\n  \"abstract\": \"Help field ten it. Pick eight last star pull. Act politics discuss.\",\n  \"keywords\": [\n    \"hard\",\n    \"open\",\n    \"right\",\n    \"could\",\n    \"sea\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.8057/cNYF\"\n  },\n  \"citations\": 411,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id = \"arXiv:2023.47681\"\ntitle = \"Devolved bi-directional info-mediaries\"\nabstract = \"Help field ten it. Pick eight last star pull. Act politics discuss.\"\nkeywords = [ \"hard\", \"open\", \"right\", \"could\", \"sea\",]\ncitations = 411\n[[authors]]\nname = \"Christian Randolph\"\naffiliation = \"Hunt-Haynes\"\nemail = \"patrickmaddox@example.net\"\n\n[[authors]]\nname = \"Allen Lewis\"\naffiliation = \"Owen PLC\"\nemail = \"alexanderhenry@example.net\"\n\n[[authors]]\nname = \"Cody Martin\"\naffiliation = \"Mcknight PLC\"\nemail = \"michael00@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2023\ndoi = \"10.8057/cNYF\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?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", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output research paper as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nMiddle several interesting move. Wrong represent guess threat. Once paper represent.,\"[{\"\"name\"\": \"\"Laura White\"\", \"\"affiliation\"\": \"\"Coleman, Johnson and Ross\"\", \"\"email\"\": \"\"jillcollins@example.c\",,None,,,,,,Seamless cohesive projection\r\nTree few strong ahead song friend trouble. Operation coach never begin degree. Term speech floor onl,\"[{\"\"name\"\": \"\"Mr. Travis Sharp\"\", \"\"affiliation\"\": \"\"Lester-Mercado\"\", \"\"email\"\": \"\"andrew51@example.com\"\"}, {\"\"n\",220,None,\"[\"\"bag\"\", \"\"talk\"\", \"\"stock\"\", \"\"develop\"\", \"\"price\"\"]\",arXiv:2020.26242,10.2433/oLBE,Science,2024,Triple-buffered asynchronous process improvement\r\nStreet visit close office meet tend image. Dinner administration total fire. Type public writer diff,\"[{\"\"name\"\": \"\"Jeffery Smith\"\", \"\"affiliation\"\": \"\"Lynch, Chapman and Weber\"\", \"\"email\"\": \"\"dgriffith@example.co\",87,Young-Dalton,\"[\"\"act\"\", \"\"behind\"\", \"\"rich\"\", \"\"few\"\", \"\"stage\"\"]\",arXiv:2020.42650,10.9935/aory,Nature,2020,Multi-tiered object-oriented frame\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-3305496\"\npatient_mrn = \"MRN-551064\"\nprescriber = \"Eric Jackson\"\ndate = \"2026-01-03\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\ndate: '2026-01-06'\npatient_mrn: MRN-259808\nrx_id: RX-8539167\nprescriber: Joseph Griffin\nmedications:\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Lisinopril\n  dosage: 10mg\n  frequency: TID\n  quantity: 30\n- name: Metformin\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from YAML to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<date>2026-01-06</date>\n<patient_mrn>MRN-259808</patient_mrn>\n<rx_id>RX-8539167</rx_id>\n<prescriber>Joseph Griffin</prescriber>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Lisinopril</name>\n<dosage>10mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-852387</product_id>\n<name>Profound logistical array</name>\n<category>electronics</category>\n<price>299.46</price>\n<currency>USD</currency>\n<stock>505</stock>\n<is_available>True</is_available>\n<rating>2.95</rating>\n<reviews>519</reviews>\n<specs>\n<weight_kg>6.22</weight_kg>\n<dimensions>16x47x36cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-852387\",\n  \"name\": \"Profound logistical array\",\n  \"category\": \"electronics\",\n  \"price\": 299.46,\n  \"currency\": \"USD\",\n  \"stock\": 505,\n  \"is_available\": true,\n  \"rating\": 2.95,\n  \"reviews\": 519,\n  \"specs\": {\n    \"weight_kg\": 6.22,\n    \"dimensions\": \"16x47x36cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-942707</product_id>\n<name>Organic demand-driven installation</name>\n<category>books</category>\n<price>698.66</price>\n<currency>USD</currency>\n<stock>819</stock>\n<is_available>True</is_available>\n<rating>4.45</rating>\n<reviews>103</reviews>\n<specs>\n<weight_kg>32.63</weight_kg>\n<dimensions>66x30x83cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate transaction record data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"timestamp\": \"2026-01-07T13:51:25.400660\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-41387\",\n      \"qty\": 1,\n      \"price\": 386.75\n    }\n  ],\n  \"txn_id\": \"TXN-44773795\",\n  \"customer_id\": \"acd22e98-51a5-48fa-ad66-a69b8fba3f2b\",\n  \"tax\": 171.02\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate contract data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id = \"CTR-640570\"\neffective_date = \"2026-01-06\"\nterm_months = 52\nvalue = 450714\nstatus = \"pending\"\n[[parties]]\nname = \"Mitchell-Clark\"\nrole = \"party_a\"\n\n[[parties]]\nname = \"Simmons-Marquez\"\nrole = \"party_b\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this TOML data into JSON format:\ntxn_id = \"TXN-48552675\"\ncustomer_id = \"19d3d880-f410-4b85-a35d-9c5777705d1f\"\ntimestamp = \"2026-01-07T13:51:26.837603\"\nsubtotal = 1354.26\ntax = 33.08\ntotal = 766.28\npayment_method = \"paypal\"\n[[items]]\nsku = \"SKU-30306\"\nqty = 4\nprice = 206.74\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from TOML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-48552675\",\n  \"customer_id\": \"19d3d880-f410-4b85-a35d-9c5777705d1f\",\n  \"timestamp\": \"2026-01-07T13:51:26.837603\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-30306\",\n      \"qty\": 4,\n      \"price\": 206.74\n    }\n  ],\n  \"subtotal\": 1354.26,\n  \"tax\": 33.08,\n  \"total\": 766.28,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-39452168\"\nplatform = \"twitter\"\nuser_id = \"ca270bc8-d443-4389-880a-6fc8dd3e9fa5\"\nusername = \"robertowens\"\ncontent = \"With writer dinner any kitchen add well. Floor image speech charge rate manager vote. Worry involve benefit there nothing rock.\\nFactor even apply how three box light.\"\ntimestamp = \"2026-01-07T13:51:25.425211\"\nhashtags = [ \"#training\", \"#Democrat\", \"#pattern\", \"#discover\",]\n\n[engagement]\nlikes = 5319\nshares = 573\ncomments = 283\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2023.87771\",\n  \"title\": \"User-centric stable ability\",\n  \"authors\": [\n    {\n      \"name\": \"Todd Hall MD\",\n      \"affiliation\": \"Nunez-Nguyen\",\n      \"email\": \"grhodes@example.net\"\n    },\n    {\n      \"name\": \"Makayla Long\",\n      \"affiliation\": \"Stanley, Sellers and Jones\",\n      \"email\": \"johnsontammy@example.net\"\n    }\n  ],\n  \"abstract\": \"Behavior skin nation pay behind remain. Then put again. Process participant current all.\",\n  \"keywords\": [\n    \"design\",\n    \"him\",\n    \"blue\",\n    \"less\",\n    \"fine\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.6248/yEgY\"\n  },\n  \"citations\": 194,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Managed bandwidth-monitored focus group,751.35,PROD-141484,2.94,250,15x82x35cm,6.41,108\r\nclothing,USD,True,Automated multi-tasking ability,526.0,PROD-262963,3.66,820,73x64x100cm,37.92,219\r\nbooks,USD,True,Versatile global functionalities,80.34,PROD-534873,4.21,937,31x65x30cm,1.33,532\r\nclothing,USD,True,Diverse encompassing instruction set,53.31,PROD-645686,4.87,141,84x15x38cm,34.37,994\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: June 2020\ntotal_revenue: 6701094\nunits_sold: 99823\nchannels:\n- name: wholesale\n  revenue: 1446891\n  growth: 24.39\n- name: retail\n  revenue: 1233913\n  growth: -3.78\ntop_products:\n- sku: SKU-1210\n  sales: 430558\n- sku: SKU-7305\n  sales: 10043\n- sku: SKU-4031\n  sales: 149245\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-725280\",\n  \"title\": \"Effect of city on expert\",\n  \"methodology\": {\n    \"design\": \"observational\",\n    \"sample_size\": 907,\n    \"duration_days\": 166\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 43.19,\n      \"endpoint\": 64.81,\n      \"p_value\": 0.4813\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 71.73,\n      \"endpoint\": 68.14,\n      \"p_value\": 0.0851\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 77.12,\n      \"endpoint\": 63.9,\n      \"p_value\": 0.1154\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2024.31964</paper_id>\n<title>Optimized solution-oriented success</title>\n<authors>\n<name>Meagan Sutton</name>\n<affiliation>Williamson, Mitchell and Smith</affiliation>\n<email>davilabridget@example.com</email>\n</authors>\n<authors>\n<name>William Gross</name>\n<affiliation>Miller and Sons</affiliation>\n<email>linda03@example.net</email>\n</authors>\n<abstract>Price while never. Night great must well remain. Share less reveal often.</abstract>\n<keywords>less</keywords>\n<keywords>radio</keywords>\n<keywords>spend</keywords>\n<keywords>which</keywords>\n<publication>\n<venue>Science</venue>\n<year>2023</year>\n<doi>10.4651/vEqE</doi>\n</publication>\n<citations>155</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\nPrice while never. Night great must well remain. Share less reveal often.,\"[{\"\"name\"\": \"\"Meagan Sutton\"\", \"\"affiliation\"\": \"\"Williamson, Mitchell and Smith\"\", \"\"email\"\": \"\"davilabridget@\",155,None,\"[\"\"less\"\", \"\"radio\"\", \"\"spend\"\", \"\"which\"\"]\",arXiv:2024.31964,10.4651/vEqE,Science,2023,Optimized solution-oriented success\r\nQuite in when full within. Letter receive democratic picture seem perhaps show.,\"[{\"\"name\"\": \"\"Edward Barton\"\", \"\"affiliation\"\": \"\"Olson, Huang and Hancock\"\", \"\"email\"\": \"\"ybaxter@example.net\"\"\",401,Aguirre-Johnson,\"[\"\"around\"\", \"\"draw\"\", \"\"although\"\", \"\"lose\"\"]\",arXiv:2021.71677,10.8157/CqEG,Nature,2022,Multi-channeled optimizing standardization\r\nPiece television of. Laugh run else suffer son minute region.,\"[{\"\"name\"\": \"\"Angela Nelson\"\", \"\"affiliation\"\": \"\"Cunningham-Young\"\", \"\"email\"\": \"\"yadams@example.net\"\"}, {\"\"name\",394,Roberts-Snow,\"[\"\"up\"\", \"\"scientist\"\", \"\"chance\"\", \"\"any\"\", \"\"remember\"\"]\",arXiv:2024.64422,10.4775/JWrF,Cell,2022,Customizable systemic structure\r\nMay field ahead door tree. Partner east discussion kid sound ability.,\"[{\"\"name\"\": \"\"Jonathan Dunn\"\", \"\"affiliation\"\": \"\"Clark-Carney\"\", \"\"email\"\": \"\"johnbolton@example.org\"\"}, {\"\"name\",456,Munoz-Carpenter,\"[\"\"away\"\", \"\"direction\"\", \"\"manage\"\", \"\"choose\"\"]\",arXiv:2021.28163,10.9551/zmQB,Cell,2022,Right-sized fault-tolerant workforce\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-32645861\"\nplatform = \"facebook\"\nuser_id = \"b5521d05-1410-43ee-b828-2c240f95461c\"\nusername = \"yanderson\"\ncontent = \"Example suggest around pattern small everybody. Rate watch blue walk test camera. Partner decide leave really.\"\ntimestamp = \"2026-01-07T13:51:27.526455\"\nhashtags = [ \"#door\", \"#relate\",]\n\n[engagement]\nlikes = 5828\nshares = 957\ncomments = 117\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output product listing as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-141484\nname: Managed bandwidth-monitored focus group\ncategory: books\nprice: 751.35\ncurrency: USD\nstock: 108\nis_available: true\nrating: 2.94\nreviews: 250\nspecs:\n  weight_kg: 6.41\n  dimensions: 15x82x35cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\npaper_id = \"arXiv:2020.65510\"\ntitle = \"Mandatory solution-oriented groupware\"\nabstract = \"Along its pressure yeah. Artist pattern nearly rich realize available skill. Month beyond rate make kid painting.\"\nkeywords = [ \"surface\", \"consumer\", \"despite\", \"compare\", \"protect\",]\ncitations = 488\nfunding_source = \"Johnson LLC\"\n[[authors]]\nname = \"Jared Fuller\"\naffiliation = \"Robinson, Crawford and Johnson\"\nemail = \"jenna58@example.net\"\n\n[[authors]]\nname = \"Nancy Anderson\"\naffiliation = \"Shannon-Johnson\"\nemail = \"richdonald@example.net\"\n\n[[authors]]\nname = \"Julia Neal\"\naffiliation = \"Roach, Harper and Cameron\"\nemail = \"gillcory@example.com\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2022\ndoi = \"10.8909/Qnkv\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from TOML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\npaper_id: arXiv:2020.65510\ntitle: Mandatory solution-oriented groupware\nauthors:\n- name: Jared Fuller\n  affiliation: Robinson, Crawford and Johnson\n  email: jenna58@example.net\n- name: Nancy Anderson\n  affiliation: Shannon-Johnson\n  email: richdonald@example.net\n- name: Julia Neal\n  affiliation: Roach, Harper and Cameron\n  email: gillcory@example.com\nabstract: Along its pressure yeah. Artist pattern nearly rich realize available skill.\n  Month beyond rate make kid painting.\nkeywords:\n- surface\n- consumer\n- despite\n- compare\n- protect\npublication:\n  venue: Nature\n  year: 2022\n  doi: 10.8909/Qnkv\ncitations: 488\nfunding_source: Johnson LLC\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-18209344\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"8880ae5d-22ce-466e-ac5d-224201417b5e\",\n  \"username\": \"xmcbride\",\n  \"content\": \"Determine live compare center as direction. Eye experience low wear. If south level.\\nWorry expect style camera. Scene majority pay voice television professor.\",\n  \"timestamp\": \"2026-01-07T13:51:27.602464\",\n  \"hashtags\": [\n    \"#culture\",\n    \"#whole\",\n    \"#central\"\n  ],\n  \"engagement\": {\n    \"likes\": 2214,\n    \"shares\": 878,\n    \"comments\": 146\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-18209344</post_id>\n<platform>facebook</platform>\n<user_id>8880ae5d-22ce-466e-ac5d-224201417b5e</user_id>\n<username>xmcbride</username>\n<content>Determine live compare center as direction. Eye experience low wear. If south level.\nWorry expect style camera. Scene majority pay voice television professor.</content>\n<timestamp>2026-01-07T13:51:27.602464</timestamp>\n<hashtags>#culture</hashtags>\n<hashtags>#whole</hashtags>\n<hashtags>#central</hashtags>\n<engagement>\n<likes>2214</likes>\n<shares>878</shares>\n<comments>146</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"experiment_id\": \"EXP-956799\",\n  \"title\": \"Effect of town on start\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 962,\n    \"duration_days\": 355\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 84.98,\n      \"endpoint\": 18.54,\n      \"p_value\": 0.3765\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 50.71,\n      \"endpoint\": 79.49,\n      \"p_value\": 0.1783\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 22.25,\n      \"endpoint\": 81.5,\n      \"p_value\": 0.0959\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 53.32,\n      \"endpoint\": 58.41,\n      \"p_value\": 0.1807\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-956799</experiment_id>\n<title>Effect of town on start</title>\n<methodology>\n<design>RCT</design>\n<sample_size>962</sample_size>\n<duration_days>355</duration_days>\n</methodology>\n<results>\n<metric>efficacy</metric>\n<baseline>84.98</baseline>\n<endpoint>18.54</endpoint>\n<p_value>0.3765</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>50.71</baseline>\n<endpoint>79.49</endpoint>\n<p_value>0.1783</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>22.25</baseline>\n<endpoint>81.5</endpoint>\n<p_value>0.0959</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>53.32</baseline>\n<endpoint>58.41</endpoint>\n<p_value>0.1807</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-2804449\npatient:\n  mrn: MRN-394213\n  age: 73\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: fever\nvitals:\n  bp: 162/64\n  hr: 70\n  temp_f: 102.7\nassessment:\n- problem: hypertension\n  icd10: K44\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"units_sold\": 11543,\n  \"period\": \"June 2021\",\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1417680,\n      \"growth\": 41.94\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3176166,\n      \"growth\": 26.78\n    }\n  ],\n  \"total_revenue\": 8223229,\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9002\",\n      \"sales\": 412560\n    },\n    {\n      \"sku\": \"SKU-3918\",\n      \"sales\": 426996\n    },\n    {\n      \"sku\": \"SKU-1618\",\n      \"sales\": 496165\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<units_sold>11543</units_sold>\n<period>June 2021</period>\n<channels>\n<name>online</name>\n<revenue>1417680</revenue>\n<growth>41.94</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>3176166</revenue>\n<growth>26.78</growth>\n</channels>\n<total_revenue>8223229</total_revenue>\n<top_products>\n<sku>SKU-9002</sku>\n<sales>412560</sales>\n</top_products>\n<top_products>\n<sku>SKU-3918</sku>\n<sales>426996</sales>\n</top_products>\n<top_products>\n<sku>SKU-1618</sku>\n<sales>496165</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Camera left hope prevent inside real. Whether trouble their always manager cultural majority popular,,2026-01-01,23,,,,PROD-173271,2,REV-5008217,,,,,Lay lead it politics brother.,11121b86-b60c-4ea2-b83a-cbb727cd7a24,True\r\nelectronics,,USD,,,True,Ameliorated fresh-thinking pricing structure,191.11,PROD-637206,2.52,,126,54x77x57cm,26.06,152,,,\r\nclothing,,USD,,,True,Networked dynamic leverage,662.15,PROD-224605,2.13,,582,52x10x57cm,49.71,29,,,\r\nbooks,,USD,,,True,Adaptive reciprocal forecast,730.04,PROD-373162,2.64,,797,73x18x15cm,5.77,79,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"experiment_id\": \"EXP-330074\",\n  \"title\": \"Effect of politics on stop\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 328,\n    \"duration_days\": 247\n  },\n  \"results\": [\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 34.54,\n      \"endpoint\": 53.32,\n      \"p_value\": 0.0487\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 10.4,\n      \"endpoint\": 13.84,\n      \"p_value\": 0.1164\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 78.27,\n      \"endpoint\": 47.78,\n      \"p_value\": 0.0781\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nexperiment_id: EXP-330074\ntitle: Effect of politics on stop\nmethodology:\n  design: RCT\n  sample_size: 328\n  duration_days: 247\nresults:\n- metric: efficacy\n  baseline: 34.54\n  endpoint: 53.32\n  p_value: 0.0487\n- metric: safety\n  baseline: 10.4\n  endpoint: 13.84\n  p_value: 0.1164\n- metric: efficacy\n  baseline: 78.27\n  endpoint: 47.78\n  p_value: 0.0781\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"service\": \"approachService\",\n  \"context\": {\n    \"user_id\": \"fe05329e-c851-4258-9b5b-a5822613303b\",\n    \"request_id\": \"7878bb2d-6319-4d97-8924-bd0357b0788d\"\n  },\n  \"stack_trace\": [\n    \"at level.py:451\",\n    \"at science.py:176\",\n    \"at art.py:498\",\n    \"at success.py:287\"\n  ],\n  \"level\": \"WARNING\",\n  \"error_id\": \"d3f1548e-3d70-475b-a25a-df504add1be1\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-8668047</article_id>\n<headline>Seamless local alliance</headline>\n<author>Alyssa Moore</author>\n<published>2026-01-02T06:22:52.413807</published>\n<section>Business</section>\n<content>Billion up year window similar. Oil two resource next. If this tough pattern.\nRule year push international.\nReceive charge movie remember hear theory stuff explain. Century animal decide everyone direction rather. Month property rock environment fine such hand remain.</content>\n<tags>traditional</tags>\n<tags>wish</tags>\n<tags>little</tags>\n<tags>inside</tags>\n<tags>year</tags>\n<views>55093</views>\n<shares>3713</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Ameliorated leadingedge installation API\"\nversion = \"1.0.0\"\n\n[paths.\"/church\".get]\nsummary = \"Likely strong talk cover your in pretty statement.\"\n[[paths.\"/church\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/church\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/church\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/church\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate contract data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-324198,2026-01-06,\"[{\"\"name\"\": \"\"Alvarado-Barnes\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Lopez, Price and Melendez\"\", \"\"role\"\": \"\"part\",pending,34,725205\r\nCTR-751913,2026-01-01,\"[{\"\"name\"\": \"\"Bradshaw Ltd\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Mccarthy-Reynolds\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,17,869796\r\nCTR-781204,2026-01-03,\"[{\"\"name\"\": \"\"Garcia-Diaz\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Cobb PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,37,264429\r\nCTR-452575,2026-01-04,\"[{\"\"name\"\": \"\"Mason-Roman\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Ray-Jackson\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,41,894105\r\nCTR-916753,2026-01-05,\"[{\"\"name\"\": \"\"Williams Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Beasley Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,46,165654\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2023.21424\",\n  \"title\": \"Cross-platform fault-tolerant circuit\",\n  \"authors\": [\n    {\n      \"name\": \"Charlotte Sellers\",\n      \"affiliation\": \"Armstrong-Marks\",\n      \"email\": \"weaverelizabeth@example.com\"\n    },\n    {\n      \"name\": \"Cynthia Johnston MD\",\n      \"affiliation\": \"Rogers Inc\",\n      \"email\": \"ccastaneda@example.org\"\n    },\n    {\n      \"name\": \"Robert Velasquez\",\n      \"affiliation\": \"Alvarado LLC\",\n      \"email\": \"psullivan@example.net\"\n    }\n  ],\n  \"abstract\": \"Truth himself long country car environment. Free design relate hope admit learn identify.\",\n  \"keywords\": [\n    \"share\",\n    \"feeling\",\n    \"environmental\"\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6091/Sfwn\"\n  },\n  \"citations\": 477,\n  \"funding_source\": \"Barker-Wise\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2023.21424</paper_id>\n<title>Cross-platform fault-tolerant circuit</title>\n<authors>\n<name>Charlotte Sellers</name>\n<affiliation>Armstrong-Marks</affiliation>\n<email>weaverelizabeth@example.com</email>\n</authors>\n<authors>\n<name>Cynthia Johnston MD</name>\n<affiliation>Rogers Inc</affiliation>\n<email>ccastaneda@example.org</email>\n</authors>\n<authors>\n<name>Robert Velasquez</name>\n<affiliation>Alvarado LLC</affiliation>\n<email>psullivan@example.net</email>\n</authors>\n<abstract>Truth himself long country car environment. Free design relate hope admit learn identify.</abstract>\n<keywords>share</keywords>\n<keywords>feeling</keywords>\n<keywords>environmental</keywords>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6091/Sfwn</doi>\n</publication>\n<citations>477</citations>\n<funding_source>Barker-Wise</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-871992\nstudent_id: STU-916232\ncourse_id: CRS-5865\ntype: quiz\ndate: '2026-01-05'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 6\n  points_possible: 10\n- question: 3\n  points_earned: 10\n  points_possible: 10\n- question: 4\n  points_earned: 2\n  points_possible: 10\n- question: 5\n  points_earned: 5\n  points_possible: 10\n- question: 6\n  points_earned: 5\n  points_possible: 10\n- question: 7\n  points_earned: 0\n  points_possible: 10\n- question: 8\n  points_earned: 7\n  points_possible: 10\n- question: 9\n  points_earned: 2\n  points_possible: 10\n- question: 10\n  points_earned: 4\n  points_possible: 10\n- question: 11\n  points_earned: 5\n  points_possible: 10\ntotal_score: 83\npercentage: 70.57\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate financial report data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\n\"Mcintyre, French and Sherman\",9.04,13448897,9.81,23.34,14876002,Q4 2021,78125638,GRIC\r\nJordan Inc,2.2,15183757,19.41,9.53,18628732,Q4 2021,5531913,JRVD\r\nAndrews and Sons,3.73,49610028,12.69,14.66,818990,Q2 2020,9288010,JTTG\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.40808\"\ntitle = \"Versatile systematic infrastructure\"\nabstract = \"Face direction whom party go follow. According meet pick hit environmental resource glass.\"\nkeywords = [ \"service\", \"walk\", \"although\", \"several\", \"against\",]\ncitations = 172\nfunding_source = \"Bautista, Saunders and Delgado\"\n[[authors]]\nname = \"Andres Compton\"\naffiliation = \"Knight, Wyatt and Mccarty\"\nemail = \"lawsontammy@example.org\"\n\n[[authors]]\nname = \"Michael Mcgrath\"\naffiliation = \"Garcia, Davis and Caldwell\"\nemail = \"madison05@example.net\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.1740/TuDe\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate course syllabus data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-4164</course_id>\n<code>RVR286</code>\n<title>Team-oriented incremental info-mediaries 101</title>\n<instructor>Shannon Miller</instructor>\n<credits>3</credits>\n<term>Fall 2023</term>\n<schedule>\n<week>1</week>\n<topic>stuff</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>professional</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>hard</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rather</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>lawyer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>camera</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>focus</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>spend</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>quickly</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-2434\"\ncode = \"DVL286\"\ntitle = \"Inverse national capacity 101\"\ninstructor = \"Scott Kim\"\ncredits = 4\nterm = \"Spring 2020\"\n[[schedule]]\nweek = 1\ntopic = \"laugh\"\n\n[[schedule]]\nweek = 2\ntopic = \"success\"\n\n[[schedule]]\nweek = 3\ntopic = \"between\"\n\n[[schedule]]\nweek = 4\ntopic = \"opportunity\"\n\n[[schedule]]\nweek = 5\ntopic = \"special\"\n\n[[schedule]]\nweek = 6\ntopic = \"art\"\n\n[[schedule]]\nweek = 7\ntopic = \"home\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\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}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Might north politics.\nMoment bad without change physical store call. Enjoy question state student po\",18,9146,205,\"[\"\"#kid\"\", \"\"#off\"\", \"\"#school\"\", \"\"#fund\"\"]\",instagram,POST-86898750,2026-01-07T13:51:25.591017,a47ec401-ca4e-44b5-afc7-6c2b372f589e,dylan00\r\nSummer project once network. Decision their personal probably eight operation.,211,6880,889,\"[\"\"#develop\"\", \"\"#hotel\"\"]\",instagram,POST-31100724,2026-01-07T13:51:25.594171,7d397d36-4a60-490d-b0af-29ac9863cc72,uscott\r\nFour nearly help own family keep their. Occur information within once food sing gas. Behavior also o,245,2908,361,\"[\"\"#within\"\", \"\"#will\"\"]\",twitter,POST-66786651,2026-01-07T13:51:25.594522,7108222b-be25-4287-8668-caa517c5e6d7,fergusonrichard\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-9548003\",\n  \"patient_mrn\": \"MRN-322322\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 67.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 66.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 118.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 198.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 167.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 143.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 150.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9548003</result_id>\n<patient_mrn>MRN-322322</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CMP</panel>\n<results>\n<test>Glucose</test>\n<value>67.0</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>66.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>118.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>198.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>167.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>143.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>150.3</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-7665793\"\npatient_mrn = \"MRN-934255\"\nprescriber = \"Danielle Brown\"\ndate = \"2026-01-06\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4931466\npatient_mrn: MRN-913279\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Glucose\n  value: 141.5\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 176.9\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 121.7\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 146.8\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 187.2\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 123.5\n  unit: mg/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9458448\"\npatient_mrn = \"MRN-362998\"\nprescriber = \"Courtney Hansen\"\ndate = \"2026-01-02\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-3741\ncode: XMJ312\ntitle: Managed incremental focus group 101\ninstructor: Rachel Diaz\ncredits: 4\nterm: Fall 2021\nschedule:\n- week: 1\n  topic: body\n- week: 2\n  topic: rather\n- week: 3\n  topic: song\n- week: 4\n  topic: child\n- week: 5\n  topic: born\n- week: 6\n  topic: beyond\n- week: 7\n  topic: there\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I65\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J29\"\"}]\",fever,2026-01-01,CN-2341842,85,F,MRN-739833,174/60,60,98.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J12\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I41\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-01,CN-7426022,39,F,MRN-407740,177/64,95,100.1\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J61\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K55\"\"}, {\"\"problem\",chest pain,2026-01-02,CN-4241326,58,M,MRN-538287,104/103,117,98.2\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-2341842\"\nencounter_date = \"2026-01-01\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I65\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J29\"\n\n[patient]\nmrn = \"MRN-739833\"\nage = 85\ngender = \"F\"\n\n[vitals]\nbp = \"174/60\"\nhr = 60\ntemp_f = 98.7\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"rx_id\": \"RX-5336793\",\n  \"patient_mrn\": \"MRN-644295\",\n  \"prescriber\": \"Thomas Ponce\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5336793</rx_id>\n<patient_mrn>MRN-644295</patient_mrn>\n<prescriber>Thomas Ponce</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-20904368\ncustomer_id: 3fe35528-f72a-4e45-bcf8-f7cb059fe7e5\ntimestamp: '2026-01-07T13:51:27.778783'\nitems:\n- sku: SKU-59380\n  qty: 2\n  price: 447.63\n- sku: SKU-56357\n  qty: 4\n  price: 130.56\n- sku: SKU-96740\n  qty: 2\n  price: 230.78\n- sku: SKU-55928\n  qty: 1\n  price: 169.07\nsubtotal: 1853.52\ntax: 74.51\ntotal: 1419.49\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>d03afc03-94bd-4dbb-bf49-9cda441c119b</error_id>\n<timestamp>2026-01-07T13:51:25.952127</timestamp>\n<level>CRITICAL</level>\n<service>fromService</service>\n<message>Add perform politics some card score brother.</message>\n<stack_trace>at send.py:152</stack_trace>\n<stack_trace>at young.py:309</stack_trace>\n<context>\n<user_id>2b3e5573-7b69-4807-a899-cbaa4adadf38</user_id>\n<request_id>beac9c14-4ae5-407d-9aae-d7a56f6790f6</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nerror_id = \"d03afc03-94bd-4dbb-bf49-9cda441c119b\"\ntimestamp = \"2026-01-07T13:51:25.952127\"\nlevel = \"CRITICAL\"\nservice = \"fromService\"\nmessage = \"Add perform politics some card score brother.\"\nstack_trace = [ \"at send.py:152\", \"at young.py:309\",]\n\n[context]\nuser_id = \"2b3e5573-7b69-4807-a899-cbaa4adadf38\"\nrequest_id = \"beac9c14-4ae5-407d-9aae-d7a56f6790f6\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id: ART-8668047\nheadline: Seamless local alliance\nauthor: Alyssa Moore\npublished: '2026-01-02T06:22:52.413807'\nsection: Business\ncontent: 'Billion up year window similar. Oil two resource next. If this tough pattern.\n\n  Rule year push international.\n\n  Receive charge movie remember hear theory stuff explain. Century animal decide everyone\n  direction rather. Month property rock environment fine such hand remain.'\ntags:\n- traditional\n- wish\n- little\n- inside\n- year\nviews: 55093\nshares: 3713\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\ncategory = \"electronics\"\nstock = 596\nprice = 218.58\n\n[specs]\nweight_kg = 38.59\ndimensions = \"23x92x45cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory: electronics\nspecs:\n  weight_kg: 38.59\n  dimensions: 23x92x45cm\nstock: 596\nprice: 218.58\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate sales analytics data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"June 2021\",\n  \"total_revenue\": 1467254,\n  \"units_sold\": 63744,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2975287,\n      \"growth\": -1.88\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 2665464,\n      \"growth\": 14.77\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-1172\",\n      \"sales\": 348860\n    },\n    {\n      \"sku\": \"SKU-4431\",\n      \"sales\": 479568\n    },\n    {\n      \"sku\": \"SKU-6244\",\n      \"sales\": 245719\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-39289028\nplatform: instagram\nuser_id: a2301bd9-5c11-406a-b2a8-1c1f96bbd31c\nusername: rhodessharon\ncontent: City window data describe address street. Environmental wall shoulder happy\n  artist forget hospital. Chair their before reach picture serve.\ntimestamp: '2026-01-07T13:51:26.862472'\nhashtags:\n- '#yet'\n- '#listen'\nengagement:\n  likes: 2391\n  shares: 751\n  comments: 108\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"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"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-718533\",\n  \"student_id\": \"STU-781568\",\n  \"course_id\": \"CRS-7994\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 14,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 88.34,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>April 2020</period>\n<total_revenue>1914989</total_revenue>\n<units_sold>47758</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>3617590</revenue>\n<growth>20.48</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>654207</revenue>\n<growth>24.4</growth>\n</channels>\n<top_products>\n<sku>SKU-4328</sku>\n<sales>466200</sales>\n</top_products>\n<top_products>\n<sku>SKU-2589</sku>\n<sales>244105</sales>\n</top_products>\n<top_products>\n<sku>SKU-7725</sku>\n<sales>25778</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate social media post data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\nAbout industry woman size. Available box return camera public time. Establish outside ability sport ,28,3129,891,\"[\"\"#share\"\", \"\"#prevent\"\", \"\"#entire\"\", \"\"#owner\"\"]\",instagram,POST-20150897,2026-01-07T13:51:25.995017,ace3958f-4578-4576-9236-9cbfc1f62953,spatrick\r\n\"Whom sit continue. General reduce sport structure.\nNew stand relationship that parent.\nKitchen call \",393,4802,465,\"[\"\"#name\"\", \"\"#treatment\"\", \"\"#sea\"\", \"\"#list\"\"]\",facebook,POST-16327890,2026-01-07T13:51:25.996341,4735f81d-1ca4-460b-9315-e316db1689ef,pjackson\r\n\"Term new bar bar. Treatment statement somebody court loss ok.\nParty rule author laugh. Somebody nati\",479,4320,182,\"[\"\"#another\"\", \"\"#like\"\", \"\"#fact\"\"]\",facebook,POST-87820652,2026-01-07T13:51:25.996792,d52f0d2e-b741-4d68-9ad3-e7a07f4ccfc3,wilsonvalerie\r\n\"Year unit organization to get later fact. Cover money fact perform can goal through oil.\nPlayer to m\",222,4373,292,\"[\"\"#south\"\", \"\"#nor\"\", \"\"#anything\"\"]\",twitter,POST-95316210,2026-01-07T13:51:25.997088,38d453e4-1609-46dd-b252-e74e671c7af4,tlynch\r\nAssume lot hand drive space me level do. Purpose interesting lose drive course bill ask movie.,168,2853,8,\"[\"\"#family\"\", \"\"#through\"\", \"\"#risk\"\"]\",facebook,POST-30279072,2026-01-07T13:51:25.997425,5ecd9e63-749f-4666-aeed-f80fe1a76477,greenjennifer\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output student assessment as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-946690,,CRS-1216,,2026-01-01,B,,,,,50.49,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 10, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 1, \"\"p\",STU-268675,,,81,assignment\r\n,UST237,CRS-1318,3,,,40,30,30,Stephen Andrews DVM,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"hour\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"like\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"news\"\"}, {\"\"week\"\": \",,,Spring 2024,Balanced high-level functionalities 101,,\r\n,OQM217,CRS-1503,3,,,40,30,30,Jennifer Wade,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"certain\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"also\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"late\"\"}, {\"\"week\",,,Fall 2024,Distributed system-worthy encryption 101,,\r\n,VNX493,CRS-1388,4,,,40,30,30,Jennifer Howard,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"above\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"politics\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"second\"\"}, {\"\"\",,,Spring 2023,Focused grid-enabled Local Area Network 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output social media post as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-46905875\"\nplatform = \"instagram\"\nuser_id = \"2079b341-d50b-4860-ba15-aa28bbe0f5b3\"\nusername = \"xhernandez\"\ncontent = \"Serious degree upon late.\\nPainting throughout direction indicate night. Political business voice street child. Across between ready. Majority red mission prepare state.\"\ntimestamp = \"2026-01-07T13:51:26.735117\"\nhashtags = [ \"#easy\", \"#miss\",]\n\n[engagement]\nlikes = 6808\nshares = 9\ncomments = 24\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-725280\ntitle: Effect of city on expert\nmethodology:\n  design: observational\n  sample_size: 907\n  duration_days: 166\nresults:\n- metric: safety\n  baseline: 43.19\n  endpoint: 64.81\n  p_value: 0.4813\n- metric: safety\n  baseline: 71.73\n  endpoint: 68.14\n  p_value: 0.0851\n- metric: safety\n  baseline: 77.12\n  endpoint: 63.9\n  p_value: 0.1154\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2024</period>\n<total_revenue>5319249</total_revenue>\n<units_sold>96009</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>941227</revenue>\n<growth>26.4</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>937409</revenue>\n<growth>30.07</growth>\n</channels>\n<top_products>\n<sku>SKU-2900</sku>\n<sales>81858</sales>\n</top_products>\n<top_products>\n<sku>SKU-8266</sku>\n<sales>123988</sales>\n</top_products>\n<top_products>\n<sku>SKU-9969</sku>\n<sales>32400</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-709917,LAB-5490961,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 146.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\r\n2026-01-01,Lipid,MRN-733525,LAB-9915150,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 63.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 98.3, \"\"un\"\r\n2026-01-02,CBC,MRN-978406,LAB-6499515,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 187.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 13\"\r\n2026-01-03,Lipid,MRN-799074,LAB-8972745,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 186.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 91.7,\"\r\n2026-01-02,CMP,MRN-129084,LAB-2001145,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 134.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 120.0,\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npatient_mrn = \"MRN-968637\"\nprescriber = \"Linda Howell\"\ndate = \"2026-01-04\"\nrx_id = \"RX-6124964\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"TID\"\nquantity = 60\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 30\n\n[[medications]]\nname = \"Metformin\"\ndosage = \"10mg\"\nfrequency = \"TID\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<revenue>81140617</revenue>\n<metrics>\n<profit_margin>25.46</profit_margin>\n<roe>20.6</roe>\n</metrics>\n<quarter>Q1 2021</quarter>\n</financial_report>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from XML to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrevenue: 81140617\nmetrics:\n  profit_margin: 25.46\n  roe: 20.6\nquarter: Q1 2021\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output sales analytics as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,channels,citations,funding_source,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue,units_sold\r\n,,\"[{\"\"name\"\": \"\"online\"\", \"\"revenue\"\": 1417680, \"\"growth\"\": 41.94}, {\"\"name\"\": \"\"wholesale\"\", \"\"revenue\"\": 3176166, \",,,,,June 2021,,,,,\"[{\"\"sku\"\": \"\"SKU-9002\"\", \"\"sales\"\": 412560}, {\"\"sku\"\": \"\"SKU-3918\"\", \"\"sales\"\": 426996}, {\"\"sku\"\": \"\"SKU-1618\"\", \"\"sa\",8223229,11543\r\nFour natural college. Civil interest choice sort fly forget.,\"[{\"\"name\"\": \"\"Jessica Cox DDS\"\", \"\"affiliation\"\": \"\"Dennis, Williams and Keller\"\", \"\"email\"\": \"\"cathy94@example\",,416,None,\"[\"\"rest\"\", \"\"soldier\"\", \"\"certain\"\"]\",arXiv:2023.74281,,10.6449/YJJM,Nature,2021,User-friendly upward-trending superstructure,,,\r\nInto attention morning finish entire follow gun. Where political under public degree year first.,\"[{\"\"name\"\": \"\"Ricky Santana\"\", \"\"affiliation\"\": \"\"Flores, Smith and Anderson\"\", \"\"email\"\": \"\"kimberlywhite@exam\",,114,\"Jones, Beck and Ross\",\"[\"\"rest\"\", \"\"state\"\", \"\"my\"\", \"\"base\"\", \"\"teacher\"\"]\",arXiv:2024.87173,,10.1135/lGbG,Nature,2022,Persistent neutral contingency,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Woods and Sons\",\n  \"ticker\": \"ZCNM\",\n  \"quarter\": \"Q1 2020\",\n  \"revenue\": 42196406,\n  \"expenses\": 48284794,\n  \"net_income\": 2937548,\n  \"eps\": 8.84,\n  \"metrics\": {\n    \"profit_margin\": 12.42,\n    \"roe\": 23.86\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Woods and Sons</company>\n<ticker>ZCNM</ticker>\n<quarter>Q1 2020</quarter>\n<revenue>42196406</revenue>\n<expenses>48284794</expenses>\n<net_income>2937548</net_income>\n<eps>8.84</eps>\n<metrics>\n<profit_margin>12.42</profit_margin>\n<roe>23.86</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9001624</rx_id>\n<patient_mrn>MRN-695608</patient_mrn>\n<prescriber>Stephen Davis</prescriber>\n<date>2026-01-05</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Upgradable 4thgeneration middleware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</pass>\n<get>\n<summary>Story amount nor bed night get message.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//pass>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Upgradable 4thgeneration middleware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/pass\": {\n      \"get\": {\n        \"summary\": \"Story amount nor bed night get message.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-270242,2026-01-05,\"[{\"\"name\"\": \"\"Moreno Inc\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Jackson, Martin and Farrell\"\", \"\"role\"\": \"\"party_b\",pending,19,117250\r\nCTR-890300,2026-01-05,\"[{\"\"name\"\": \"\"Oliver-Mckinney\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Bishop Group\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,49,802780\r\nCTR-521838,2026-01-04,\"[{\"\"name\"\": \"\"Santos-Bruce\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Kelly, Watts and Washington\"\", \"\"role\"\": \"\"party\",active,31,458856\r\nCTR-758284,2026-01-03,\"[{\"\"name\"\": \"\"Shields, Hunter and Watson\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Skinner, Price and Dunn\"\", \"\"rol\",active,20,166865\r\nCTR-247828,2026-01-03,\"[{\"\"name\"\": \"\"Chavez, Schultz and Farley\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"French, Cardenas and Wells\"\", \"\"\",pending,56,642338\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"term_months\": 34,\n  \"parties\": [\n    {\n      \"name\": \"Garza-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Griffin-Weaver\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"status\": \"executed\",\n  \"effective_date\": \"2026-01-01\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.45091\"\ntitle = \"Profound composite portal\"\nabstract = \"Themselves edge marriage we sound since impact. Artist rise do soldier occur behind purpose.\"\nkeywords = [ \"leg\", \"character\", \"increase\", \"media\",]\ncitations = 166\n[[authors]]\nname = \"Kendra Gilbert\"\naffiliation = \"Knight, Richardson and Garcia\"\nemail = \"kelseysmith@example.com\"\n\n[[authors]]\nname = \"Pamela Yang\"\naffiliation = \"Garcia, Walker and Cardenas\"\nemail = \"lbeasley@example.org\"\n\n[publication]\nvenue = \"Nature\"\nyear = 2024\ndoi = \"10.9826/sFIb\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"experiment_id\": \"EXP-942720\",\n  \"title\": \"Effect of edge on when\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 645,\n    \"duration_days\": 54\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 79.64,\n      \"endpoint\": 26.86,\n      \"p_value\": 0.2863\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 55.57,\n      \"endpoint\": 59.78,\n      \"p_value\": 0.1705\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 30.69,\n      \"endpoint\": 27.4,\n      \"p_value\": 0.1116\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 32.07,\n      \"endpoint\": 35.79,\n      \"p_value\": 0.1946\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-942720</experiment_id>\n<title>Effect of edge on when</title>\n<methodology>\n<design>cohort</design>\n<sample_size>645</sample_size>\n<duration_days>54</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>79.64</baseline>\n<endpoint>26.86</endpoint>\n<p_value>0.2863</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>55.57</baseline>\n<endpoint>59.78</endpoint>\n<p_value>0.1705</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>30.69</baseline>\n<endpoint>27.4</endpoint>\n<p_value>0.1116</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>32.07</baseline>\n<endpoint>35.79</endpoint>\n<p_value>0.1946</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-500587</experiment_id>\n<title>Effect of seem on put</title>\n<methodology>\n<design>cohort</design>\n<sample_size>806</sample_size>\n<duration_days>332</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>59.15</baseline>\n<endpoint>80.7</endpoint>\n<p_value>0.0751</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>25.67</baseline>\n<endpoint>99.48</endpoint>\n<p_value>0.1142</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>72.29</baseline>\n<endpoint>18.69</endpoint>\n<p_value>0.2768</p_value>\n</results>\n<results>\n<metric>safety</metric>\n<baseline>16.24</baseline>\n<endpoint>94.98</endpoint>\n<p_value>0.315</p_value>\n</results>\n<conclusion>significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-500587\",\n  \"title\": \"Effect of seem on put\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 806,\n    \"duration_days\": 332\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 59.15,\n      \"endpoint\": 80.7,\n      \"p_value\": 0.0751\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 25.67,\n      \"endpoint\": 99.48,\n      \"p_value\": 0.1142\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 72.29,\n      \"endpoint\": 18.69,\n      \"p_value\": 0.2768\n    },\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 16.24,\n      \"endpoint\": 94.98,\n      \"p_value\": 0.315\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Synchronized holistic archive API\n  version: 1.0.0\npaths:\n  /policy:\n    get:\n      summary: Red reason present loss yeah run.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this YAML data into JSON format:\ncontract_id: CTR-449984\nparties:\n- name: Garcia-Henson\n  role: party_a\n- name: Moore LLC\n  role: party_b\neffective_date: '2026-01-04'\nterm_months: 49\nvalue: 694475\nstatus: pending\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert contract from YAML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"contract_id\": \"CTR-449984\",\n  \"parties\": [\n    {\n      \"name\": \"Garcia-Henson\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Moore LLC\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-04\",\n  \"term_months\": 49,\n  \"value\": 694475,\n  \"status\": \"pending\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-69367106\nplatform: twitter\nuser_id: 7643b70d-1c60-436f-974e-7bc6cee5e032\nusername: gordonalexander\ncontent: 'See personal couple road president most next. Laugh teach lawyer character\n  work present.\n\n  Page give education middle. Couple save view media instead police guy. Enough test\n  notice capital size.'\ntimestamp: '2026-01-07T13:51:25.991400'\nhashtags:\n- '#PM'\n- '#stage'\n- '#government'\nengagement:\n  likes: 1911\n  shares: 761\n  comments: 62\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-9279\",\n  \"code\": \"WQT213\",\n  \"title\": \"Ameliorated 3rdgeneration groupware 101\",\n  \"instructor\": \"Mariah Wilson\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"together\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"statement\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"these\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"American\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"read\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"age\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"course\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-7514\",\n  \"code\": \"NOO384\",\n  \"title\": \"Fundamental encompassing database 101\",\n  \"instructor\": \"Lori Martinez\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"bar\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"population\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"thus\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"purpose\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"look\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"remember\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"ahead\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"pass\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output sales analytics as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: January 2022\ntotal_revenue: 7456708\nunits_sold: 82349\nchannels:\n- name: wholesale\n  revenue: 3622404\n  growth: -8.05\n- name: online\n  revenue: 1893923\n  growth: 2.21\ntop_products:\n- sku: SKU-2073\n  sales: 98550\n- sku: SKU-3707\n  sales: 233488\n- sku: SKU-7843\n  sales: 172526\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id = \"PROD-239354\"\nname = \"User-centric tertiary contingency\"\ncategory = \"electronics\"\nprice = 998.51\ncurrency = \"USD\"\nstock = 842\nis_available = true\nrating = 2.36\nreviews = 630\n\n[specs]\nweight_kg = 0.61\ndimensions = \"88x23x10cm\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-6812810</result_id>\n<patient_mrn>MRN-631747</patient_mrn>\n<order_date>2026-01-04</order_date>\n<panel>Lipid</panel>\n<results>\n<test>WBC</test>\n<value>54.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>70.8</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>59.6</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>140.8</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-6812810\",\n  \"patient_mrn\": \"MRN-631747\",\n  \"order_date\": \"2026-01-04\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"WBC\",\n      \"value\": 54.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 70.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 59.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 140.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-39452168\nplatform: twitter\nuser_id: ca270bc8-d443-4389-880a-6fc8dd3e9fa5\nusername: robertowens\ncontent: 'With writer dinner any kitchen add well. Floor image speech charge rate\n  manager vote. Worry involve benefit there nothing rock.\n\n  Factor even apply how three box light.'\ntimestamp: '2026-01-07T13:51:25.425211'\nhashtags:\n- '#training'\n- '#Democrat'\n- '#pattern'\n- '#discover'\nengagement:\n  likes: 5319\n  shares: 573\n  comments: 283\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output student assessment as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-475477\nstudent_id: STU-426309\ncourse_id: CRS-8131\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 3\n  points_possible: 10\n- question: 2\n  points_earned: 1\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 6\n  points_possible: 10\n- question: 5\n  points_earned: 4\n  points_possible: 10\n- question: 6\n  points_earned: 1\n  points_possible: 10\n- question: 7\n  points_earned: 6\n  points_possible: 10\n- question: 8\n  points_earned: 1\n  points_possible: 10\n- question: 9\n  points_earned: 1\n  points_possible: 10\n- question: 10\n  points_earned: 2\n  points_possible: 10\n- question: 11\n  points_earned: 4\n  points_possible: 10\n- question: 12\n  points_earned: 4\n  points_possible: 10\n- question: 13\n  points_earned: 9\n  points_possible: 10\ntotal_score: 79\npercentage: 60.06\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2020.86983\",\n  \"title\": \"Reverse-engineered national Graphical User Interface\",\n  \"authors\": [\n    {\n      \"name\": \"Wesley Murphy\",\n      \"affiliation\": \"Nunez, Meyer and Snow\",\n      \"email\": \"nina74@example.net\"\n    },\n    {\n      \"name\": \"Richard Morgan\",\n      \"affiliation\": \"Hall-Jones\",\n      \"email\": \"justin85@example.org\"\n    },\n    {\n      \"name\": \"Anthony Johnson\",\n      \"affiliation\": \"Kelley-Murphy\",\n      \"email\": \"srichmond@example.com\"\n    }\n  ],\n  \"abstract\": \"Sure finally site who truth. Close stop when low. Check news mother democratic.\",\n  \"keywords\": [\n    \"old\",\n    \"indeed\",\n    \"general\",\n    \"claim\",\n    \"every\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2024,\n    \"doi\": \"10.2539/QMDE\"\n  },\n  \"citations\": 221,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.86983</paper_id>\n<title>Reverse-engineered national Graphical User Interface</title>\n<authors>\n<name>Wesley Murphy</name>\n<affiliation>Nunez, Meyer and Snow</affiliation>\n<email>nina74@example.net</email>\n</authors>\n<authors>\n<name>Richard Morgan</name>\n<affiliation>Hall-Jones</affiliation>\n<email>justin85@example.org</email>\n</authors>\n<authors>\n<name>Anthony Johnson</name>\n<affiliation>Kelley-Murphy</affiliation>\n<email>srichmond@example.com</email>\n</authors>\n<abstract>Sure finally site who truth. Close stop when low. Check news mother democratic.</abstract>\n<keywords>old</keywords>\n<keywords>indeed</keywords>\n<keywords>general</keywords>\n<keywords>claim</keywords>\n<keywords>every</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2024</year>\n<doi>10.2539/QMDE</doi>\n</publication>\n<citations>221</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,Lipid,MRN-926833,LAB-4545863,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 170.7, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\"\"\r\n2026-01-01,CMP,MRN-943374,LAB-6888638,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 187.4, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 89.7,\"\r\n2026-01-02,Lipid,MRN-341356,LAB-2864265,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 191.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-01,CMP,MRN-554513,LAB-6925367,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 159.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 15\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Universal bottom-line system engine,225.75,PROD-325945,3.31,802,77x29x32cm,22.25,955\r\nclothing,USD,True,Realigned neutral ability,312.76,PROD-600685,3.88,688,46x55x87cm,4.41,872\r\nbooks,USD,True,Cross-platform solution-oriented framework,674.2,PROD-743990,4.76,455,59x58x21cm,38.77,368\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>fd278ff8-fdfc-4b1d-81ec-31cf5ce70502</error_id>\n<timestamp>2026-01-07T13:51:26.554266</timestamp>\n<level>ERROR</level>\n<service>heartService</service>\n<message>Attack candidate in give wish tree.</message>\n<stack_trace>at thousand.py:354</stack_trace>\n<stack_trace>at forget.py:20</stack_trace>\n<stack_trace>at consider.py:392</stack_trace>\n<context>\n<user_id>d753ac0c-8931-4c37-8bd5-01413aaaba41</user_id>\n<request_id>b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"error_id\": \"fd278ff8-fdfc-4b1d-81ec-31cf5ce70502\",\n  \"timestamp\": \"2026-01-07T13:51:26.554266\",\n  \"level\": \"ERROR\",\n  \"service\": \"heartService\",\n  \"message\": \"Attack candidate in give wish tree.\",\n  \"stack_trace\": [\n    \"at thousand.py:354\",\n    \"at forget.py:20\",\n    \"at consider.py:392\"\n  ],\n  \"context\": {\n    \"user_id\": \"d753ac0c-8931-4c37-8bd5-01413aaaba41\",\n    \"request_id\": \"b35b2bd7-dc59-4d80-ba5d-dc21fa7f0bf7\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-5305677\",\n  \"patient_mrn\": \"MRN-215469\",\n  \"prescriber\": \"Jeremy Hatfield\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Upgradable 4thgeneration middleware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/pass\": {\n      \"get\": {\n        \"summary\": \"Story amount nor bed night get message.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"error_id\": \"bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\",\n  \"timestamp\": \"2026-01-07T13:51:27.288021\",\n  \"level\": \"CRITICAL\",\n  \"service\": \"reasonService\",\n  \"message\": \"Recent security meet three Congress find seat.\",\n  \"stack_trace\": [\n    \"at current.py:236\",\n    \"at your.py:146\",\n    \"at without.py:194\"\n  ],\n  \"context\": {\n    \"user_id\": \"fc408ea4-9df4-4d81-87da-9d63d4bc8744\",\n    \"request_id\": \"d8c95012-b6bb-42d7-8cb4-e57e77353a5b\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-723394\nname: Streamlined full-range ability\ncategory: clothing\nprice: 959.9\ncurrency: USD\nstock: 28\nis_available: true\nrating: 3.7\nreviews: 332\nspecs:\n  weight_kg: 9.93\n  dimensions: 53x67x45cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-3296162\"\npatient_mrn = \"MRN-810937\"\norder_date = \"2026-01-01\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 103.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 189.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 75.4\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 103.5\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 93.5\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 127.7\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 76.3\nunit = \"mg/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"product_id\": \"PROD-480886\",\n  \"name\": \"Operative optimizing monitoring\",\n  \"category\": \"books\",\n  \"price\": 967.35,\n  \"currency\": \"USD\",\n  \"stock\": 887,\n  \"is_available\": true,\n  \"rating\": 2.99,\n  \"reviews\": 465,\n  \"specs\": {\n    \"weight_kg\": 39.19,\n    \"dimensions\": \"82x84x37cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-480886</product_id>\n<name>Operative optimizing monitoring</name>\n<category>books</category>\n<price>967.35</price>\n<currency>USD</currency>\n<stock>887</stock>\n<is_available>True</is_available>\n<rating>2.99</rating>\n<reviews>465</reviews>\n<specs>\n<weight_kg>39.19</weight_kg>\n<dimensions>82x84x37cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-9001624\",\n  \"patient_mrn\": \"MRN-695608\",\n  \"prescriber\": \"Stephen Davis\",\n  \"date\": \"2026-01-05\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Grass-roots methodical neural-net,156.58,PROD-361703,3.73,915,90x40x81cm,25.41,3\r\nelectronics,USD,True,Optional next generation array,484.35,PROD-358234,2.98,945,75x62x25cm,28.5,674\r\nclothing,USD,True,Exclusive intermediate toolset,634.41,PROD-405955,4.62,410,26x68x76cm,21.4,885\r\nelectronics,USD,True,Networked next generation service-desk,98.8,PROD-648905,4.98,412,54x54x93cm,22.68,98\r\nelectronics,USD,True,Stand-alone uniform Internet solution,245.19,PROD-416796,1.1,881,56x31x29cm,21.83,526\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3793814</result_id>\n<patient_mrn>MRN-247204</patient_mrn>\n<order_date>2026-01-03</order_date>\n<panel>CBC</panel>\n<results>\n<test>Hemoglobin</test>\n<value>188.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>197.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>193.9</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>197.2</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>109.5</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-3793814\",\n  \"patient_mrn\": \"MRN-247204\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 188.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 197.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.4,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 193.9,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 197.2,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 109.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from YAML to CSV:\nresult_id: LAB-3793814\npatient_mrn: MRN-247204\norder_date: '2026-01-03'\npanel: CBC\nresults:\n- test: Hemoglobin\n  value: 188.2\n  unit: g/dL\n  flag: low\n- test: WBC\n  value: 197.7\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 196.4\n  unit: mg/dL\n  flag: high\n- test: Glucose\n  value: 193.9\n  unit: g/dL\n  flag: high\n- test: Glucose\n  value: 197.2\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 109.5\n  unit: mg/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-03,CBC,MRN-247204,LAB-3793814,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 188.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 197\"\r\n2026-01-04,CBC,MRN-825014,LAB-9525524,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 133.3, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-02,CMP,MRN-214742,LAB-3768472,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 148.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 16\"\r\n2026-01-03,Lipid,MRN-610171,LAB-7001483,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 69.1, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 181.6, \"\"un\"\r\n2026-01-02,Lipid,MRN-414898,LAB-3038427,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 81.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 56.2, \"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Reformat the data below from JSON to CSV:\n{\n  \"txn_id\": \"TXN-31892506\",\n  \"customer_id\": \"6c5d6d8e-2901-438d-be6d-be57a13ea5ab\",\n  \"timestamp\": \"2026-01-07T13:51:25.485684\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-80058\",\n      \"qty\": 4,\n      \"price\": 142.37\n    },\n    {\n      \"sku\": \"SKU-53232\",\n      \"qty\": 1,\n      \"price\": 151.54\n    }\n  ],\n  \"subtotal\": 692.94,\n  \"tax\": 100.91,\n  \"total\": 1647.14,\n  \"payment_method\": \"credit_card\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n6c5d6d8e-2901-438d-be6d-be57a13ea5ab,\"[{\"\"sku\"\": \"\"SKU-80058\"\", \"\"qty\"\": 4, \"\"price\"\": 142.37}, {\"\"sku\"\": \"\"SKU-53232\"\", \"\"qty\"\": 1, \"\"price\"\": 151.54}]\",credit_card,692.94,100.91,2026-01-07T13:51:25.485684,1647.14,TXN-31892506\r\ncaa3761a-6a20-4997-8e7b-8b59dc65583f,\"[{\"\"sku\"\": \"\"SKU-35611\"\", \"\"qty\"\": 2, \"\"price\"\": 466.35}, {\"\"sku\"\": \"\"SKU-67548\"\", \"\"qty\"\": 4, \"\"price\"\": 438.97}]\",credit_card,562.95,89.07,2026-01-07T13:51:25.486989,1854.68,TXN-71277750\r\n80d57893-35e9-44db-ba14-6690f353094b,\"[{\"\"sku\"\": \"\"SKU-55211\"\", \"\"qty\"\": 2, \"\"price\"\": 80.18}, {\"\"sku\"\": \"\"SKU-96216\"\", \"\"qty\"\": 3, \"\"price\"\": 213.79}, {\"\"\",paypal,1690.11,146.72,2026-01-07T13:51:25.487028,615.14,TXN-24165791\r\n6672f762-2e33-4ffe-9c62-0e3036095a13,\"[{\"\"sku\"\": \"\"SKU-24671\"\", \"\"qty\"\": 2, \"\"price\"\": 435.92}, {\"\"sku\"\": \"\"SKU-47501\"\", \"\"qty\"\": 1, \"\"price\"\": 302.24}, {\",paypal,782.78,14.93,2026-01-07T13:51:25.487068,397.24,TXN-57476836\r\n7590f444-e2a2-401b-b1d9-2ce01a9b19d7,\"[{\"\"sku\"\": \"\"SKU-38974\"\", \"\"qty\"\": 4, \"\"price\"\": 150.47}]\",apple_pay,1688.94,114.36,2026-01-07T13:51:25.487105,1418.8,TXN-13852806\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this YAML data into CSV format:\nresult_id: LAB-4827299\npatient_mrn: MRN-871984\norder_date: '2026-01-06'\npanel: Lipid\nresults:\n- test: WBC\n  value: 156.4\n  unit: g/dL\n  flag: high\n- test: WBC\n  value: 186.0\n  unit: mg/dL\n  flag: low\n- test: WBC\n  value: 134.8\n  unit: mg/dL\n  flag: normal\n- test: WBC\n  value: 64.1\n  unit: mg/dL\n  flag: normal\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from YAML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,Lipid,MRN-871984,LAB-4827299,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 156.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 186.0, \"\"u\"\r\n2026-01-06,Lipid,MRN-523460,LAB-8432099,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 186.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 113\"\r\n2026-01-01,CBC,MRN-578034,LAB-8634747,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 190.6, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 53\"\r\n2026-01-04,CBC,MRN-733262,LAB-3745926,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 182.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 1\"\r\n2026-01-02,CMP,MRN-198669,LAB-3924597,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 91.9, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 110.4\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate student assessment data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-718533\nstudent_id: STU-781568\ncourse_id: CRS-7994\ntype: assignment\ndate: '2026-01-03'\nscores:\n- question: 1\n  points_earned: 8\n  points_possible: 10\n- question: 2\n  points_earned: 4\n  points_possible: 10\n- question: 3\n  points_earned: 5\n  points_possible: 10\n- question: 4\n  points_earned: 8\n  points_possible: 10\n- question: 5\n  points_earned: 0\n  points_possible: 10\n- question: 6\n  points_earned: 5\n  points_possible: 10\n- question: 7\n  points_earned: 2\n  points_possible: 10\n- question: 8\n  points_earned: 2\n  points_possible: 10\n- question: 9\n  points_earned: 6\n  points_possible: 10\n- question: 10\n  points_earned: 4\n  points_possible: 10\n- question: 11\n  points_earned: 8\n  points_possible: 10\n- question: 12\n  points_earned: 4\n  points_possible: 10\n- question: 13\n  points_earned: 7\n  points_possible: 10\n- question: 14\n  points_earned: 3\n  points_possible: 10\ntotal_score: 62\npercentage: 88.34\ngrade: B\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2021.37044\ntitle: Centralized secondary benchmark\nauthors:\n- name: Elizabeth Hardy\n  affiliation: Cooper-Le\n  email: christy03@example.org\n- name: Jeffrey Parker\n  affiliation: Green and Sons\n  email: bakerrachel@example.org\n- name: Mary Nichols\n  affiliation: Spears-White\n  email: timothy16@example.org\nabstract: Garden information industry play smile. Least girl hair might. Tough might\n  think wear thing experience already say.\nkeywords:\n- century\n- great\n- manage\n- assume\npublication:\n  venue: Science\n  year: 2020\n  doi: 10.4810/XJNh\ncitations: 225\nfunding_source: Cook PLC\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-06,CBC,MRN-824701,LAB-1120026,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 168.8, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 9\"\r\n2026-01-03,CBC,MRN-353515,LAB-9602253,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 125.5, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": \"\r\n2026-01-03,CMP,MRN-864663,LAB-7006859,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 141.2, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 9\"\r\n2026-01-05,Lipid,MRN-252270,LAB-2678133,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 106.5, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\":\"\r\n2026-01-02,CBC,MRN-175221,LAB-7366300,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 195.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 55.\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"date\": \"2026-01-06\",\n  \"patient_mrn\": \"MRN-259808\",\n  \"rx_id\": \"RX-8539167\",\n  \"prescriber\": \"Joseph Griffin\",\n  \"medications\": [\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this CSV data into XML format:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J90\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I22\"\"}, {\"\"problem\"\": \"\"\",fever,2026-01-03,CN-6709459,50,M,MRN-104418,143/96,69,101.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K93\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K39\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-05,CN-2038769,19,F,MRN-764011,145/96,65,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K47\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I91\"\"}]\",chest pain,2026-01-03,CN-4758083,56,F,MRN-215899,101/72,60,101.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J64\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K58\"\"}]\",fever,2026-01-03,CN-9357487,38,M,MRN-728682,120/62,98,101.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J84\"\"}]\",chest pain,2026-01-01,CN-7990128,32,F,MRN-556057,177/76,120,97.5\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-6709459</note_id>\n<patient>\n<mrn>MRN-104418</mrn>\n<age>50</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-03</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>143/96</bp>\n<hr>69</hr>\n<temp_f>101.3</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J90</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I22</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K97</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-110536</product_id>\n<name>Organized didactic parallelism</name>\n<category>clothing</category>\n<price>68.12</price>\n<currency>USD</currency>\n<stock>153</stock>\n<is_available>True</is_available>\n<rating>1.45</rating>\n<reviews>277</reviews>\n<specs>\n<weight_kg>1.85</weight_kg>\n<dimensions>33x70x14cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"note_id\": \"CN-5751204\",\n  \"patient\": {\n    \"mrn\": \"MRN-566004\",\n    \"age\": 47,\n    \"gender\": \"M\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"160/96\",\n    \"hr\": 75,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"I93\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-5751204</note_id>\n<patient>\n<mrn>MRN-566004</mrn>\n<age>47</age>\n<gender>M</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>160/96</bp>\n<hr>75</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>I93</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Transform this CSV data into TOML format:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Lisinopri\",MRN-256913,Victor Valentine,RX-8246470\r\n2026-01-01,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Atorvastatin\",MRN-625768,Gabriel Burton,RX-9298143\r\n2026-01-03,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-623887,Heather Martinez,RX-6178712\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\",\",MRN-898910,Derek Mcmahon,RX-9127243\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Lisinopril\"\",\",MRN-588654,Bernard Martin,RX-1849426\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from CSV to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id = \"RX-8246470\"\npatient_mrn = \"MRN-256913\"\nprescriber = \"Victor Valentine\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<paths>\n</population>\n<get>\n<summary>Lead room develop man according street century.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//population>\n</paths>\n<info>\n<title>Ameliorated radical initiative API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paths\": {\n    \"/population\": {\n      \"get\": {\n        \"summary\": \"Lead room develop man according street century.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  },\n  \"info\": {\n    \"title\": \"Ameliorated radical initiative API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n99acb16f-f8b4-41e4-ae62-9ae20ed20eaf,\"[{\"\"sku\"\": \"\"SKU-93150\"\", \"\"qty\"\": 2, \"\"price\"\": 14.35}, {\"\"sku\"\": \"\"SKU-57512\"\", \"\"qty\"\": 4, \"\"price\"\": 71.34}]\",apple_pay,220.17,160.21,2026-01-06T09:43:29.703655,114.14,TXN-47298060\r\n72734f73-307c-494d-8786-3c224a13538c,\"[{\"\"sku\"\": \"\"SKU-91895\"\", \"\"qty\"\": 1, \"\"price\"\": 490.98}, {\"\"sku\"\": \"\"SKU-10925\"\", \"\"qty\"\": 1, \"\"price\"\": 472.96}, {\",apple_pay,799.77,132.17,2026-01-06T09:43:29.705022,471.8,TXN-68159210\r\n64e9a773-cf22-4dc5-a89f-dafc8e28e0c7,\"[{\"\"sku\"\": \"\"SKU-74962\"\", \"\"qty\"\": 1, \"\"price\"\": 207.43}, {\"\"sku\"\": \"\"SKU-36659\"\", \"\"qty\"\": 1, \"\"price\"\": 127.5}, {\"\"\",credit_card,374.37,11.02,2026-01-06T09:43:29.705089,214.2,TXN-40827517\r\ne0666db2-6028-4ff9-b24f-09137b2b457f,\"[{\"\"sku\"\": \"\"SKU-16253\"\", \"\"qty\"\": 1, \"\"price\"\": 69.32}, {\"\"sku\"\": \"\"SKU-62736\"\", \"\"qty\"\": 1, \"\"price\"\": 299.63}, {\"\"\",apple_pay,1667.64,56.23,2026-01-06T09:43:29.705150,623.56,TXN-16174928\r\n39d2e19f-4183-4c68-b831-016736827de6,\"[{\"\"sku\"\": \"\"SKU-37524\"\", \"\"qty\"\": 5, \"\"price\"\": 70.99}, {\"\"sku\"\": \"\"SKU-86272\"\", \"\"qty\"\": 3, \"\"price\"\": 486.75}, {\"\"\",paypal,1641.1,64.51,2026-01-06T09:43:29.705197,1119.26,TXN-38133803\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-672485\",\n  \"student_id\": \"STU-183204\",\n  \"course_id\": \"CRS-8704\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-01\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 82,\n  \"percentage\": 72.48,\n  \"grade\": \"A\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate customer review data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-5008217\nproduct_id: PROD-173271\nuser_id: 11121b86-b60c-4ea2-b83a-cbb727cd7a24\nrating: 2\ntitle: Lay lead it politics brother.\ncontent: Camera left hope prevent inside real. Whether trouble their always manager\n  cultural majority popular. Song condition entire security concern science. Run number\n  firm listen serious.\ndate: '2026-01-01'\nverified_purchase: true\nhelpful_votes: 23\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion: non-significant\nresults:\n- metric: efficacy\n  baseline: 93.21\n  endpoint: 61.08\n  p_value: 0.4497\n- metric: efficacy\n  baseline: 62.35\n  endpoint: 40.58\n  p_value: 0.0611\nexperiment_id: EXP-212826\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>June 2020</period>\n<total_revenue>2603625</total_revenue>\n<units_sold>51574</units_sold>\n<channels>\n<name>retail</name>\n<revenue>1926384</revenue>\n<growth>34.29</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>1062444</revenue>\n<growth>-1.99</growth>\n</channels>\n<top_products>\n<sku>SKU-3818</sku>\n<sales>48786</sales>\n</top_products>\n<top_products>\n<sku>SKU-7605</sku>\n<sales>408187</sales>\n</top_products>\n<top_products>\n<sku>SKU-6728</sku>\n<sales>223732</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod = \"June 2020\"\ntotal_revenue = 2603625\nunits_sold = 51574\n[[channels]]\nname = \"retail\"\nrevenue = 1926384\ngrowth = 34.29\n\n[[channels]]\nname = \"online\"\nrevenue = 1062444\ngrowth = -1.99\n\n[[top_products]]\nsku = \"SKU-3818\"\nsales = 48786\n\n[[top_products]]\nsku = \"SKU-7605\"\nsales = 408187\n\n[[top_products]]\nsku = \"SKU-6728\"\nsales = 223732\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,code,credits,funding_source,grading_final,grading_homework,grading_midterm,keywords,paper_id,publication_doi,publication_venue,publication_year,schedule,term,title\r\n,,,GHC481,4,,40,30,30,,,,,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"table\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"team\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"miss\"\"}, {\"\"week\"\":\",Spring 2020,\r\nRed think source science employee political. Laugh hotel section pull reach final explain. Mission t,\"[{\"\"name\"\": \"\"Hayley Phillips\"\", \"\"affiliation\"\": \"\"Carroll, Harris and Hughes\"\", \"\"email\"\": \"\"sanchezkimberly@\",7,,,None,,,,\"[\"\"value\"\", \"\"shoulder\"\", \"\"less\"\"]\",arXiv:2024.29302,10.2943/KGtM,Science,2024,,,Multi-channeled empowering data-warehouse\r\nCondition blue enter computer economy cultural might. Hear government around kid anything meet cost.,\"[{\"\"name\"\": \"\"Sarah Harris\"\", \"\"affiliation\"\": \"\"Ortiz-Campbell\"\", \"\"email\"\": \"\"chad23@example.com\"\"}, {\"\"name\"\": \",8,,,None,,,,\"[\"\"learn\"\", \"\"expect\"\", \"\"trial\"\"]\",arXiv:2022.36659,10.9474/ZEqK,Nature,2020,,,Configurable optimizing functionalities\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-9117796\npatient_mrn: MRN-890880\nprescriber: Ronald Thompson\ndate: '2026-01-03'\nmedications:\n- name: Lisinopril\n  dosage: 5mg\n  frequency: BID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-3941350</result_id>\n<patient_mrn>MRN-739958</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>134.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>188.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>142.9</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>117.3</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>159.8</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>131.5</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nresult_id: LAB-3941350\npatient_mrn: MRN-739958\norder_date: '2026-01-01'\npanel: CBC\nresults:\n- test: Glucose\n  value: 134.1\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 188.7\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 142.9\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 117.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 159.8\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 131.5\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output news article as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1990822,Dorothy Hart,\"Within have collection little huge several seek. Fly clear indeed clear.\nRole available probably adu\",Right-sized solution-oriented open system,2026-01-04T02:13:16.691724,Politics,4621,\"[\"\"opportunity\"\", \"\"prove\"\", \"\"spring\"\", \"\"cut\"\"]\",95500\r\nART-8171100,Julie Rice,\"Community heavy student. May society democratic.\nFor evidence support fish. Near challenge worker wr\",Open-architected neutral approach,2026-01-01T14:00:19.268938,Tech,4690,\"[\"\"expert\"\", \"\"real\"\", \"\"manager\"\", \"\"glass\"\"]\",35610\r\nART-1879532,Heidi Cochran,\"Treat she job owner life. Office ask common radio enough might doctor.\nBar live three charge produce\",Focused demand-driven matrix,2026-01-02T21:58:42.267705,Business,1022,\"[\"\"else\"\", \"\"season\"\", \"\"house\"\", \"\"whole\"\", \"\"although\"\"]\",95709\r\nART-5570091,Anthony English,Positive environment account left detail lay. Worker career especially probably. Upon quite professi,Up-sized bandwidth-monitored standardization,2026-01-03T10:08:14.757501,Sports,486,\"[\"\"American\"\", \"\"reason\"\", \"\"conference\"\", \"\"throughout\"\"]\",47316\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>92d36993-19b1-4c19-9b64-8b4669c6636f</error_id>\n<timestamp>2026-01-07T13:51:27.222487</timestamp>\n<level>WARNING</level>\n<service>voiceService</service>\n<message>Analysis beautiful attack blue eye.</message>\n<stack_trace>at well.py:163</stack_trace>\n<stack_trace>at will.py:421</stack_trace>\n<stack_trace>at run.py:384</stack_trace>\n<stack_trace>at TV.py:103</stack_trace>\n<context>\n<user_id>c92bcb8f-c109-47f8-aa13-b43737a1fc38</user_id>\n<request_id>f4cb6737-30c9-41ef-814b-34c3ec971deb</request_id>\n</context>\n</error_log>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\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}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,context_request_id,context_user_id,error_id,funding_source,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title\r\n,,,0f3326d0-3afd-48c1-9c4d-32cc8b0c5920,082cc3eb-3997-4d99-990c-f696ca4ee534,424897c8-d97d-4bfb-9c1a-7b6e63fd6096,,,ERROR,How these anyone stop indeed.,,,,,heartService,\"[\"\"at manage.py:289\"\", \"\"at thing.py:107\"\", \"\"at guy.py:172\"\", \"\"at seat.py:479\"\"]\",2026-01-07T13:51:27.529237,\r\nAlone animal loss base our. It tax seat against talk. Manager trial always education hospital.,\"[{\"\"name\"\": \"\"Brittany Myers\"\", \"\"affiliation\"\": \"\"Alexander-Terry\"\", \"\"email\"\": \"\"vargasneil@example.com\"\"}, {\"\"\",58,,,,None,\"[\"\"test\"\", \"\"improve\"\", \"\"mention\"\"]\",,,arXiv:2021.53040,10.4561/YdvP,Nature,2023,,,,Synchronized uniform superstructure\r\nLay and go young successful themselves. Area plant carry hard team. Investment clearly prove red wil,\"[{\"\"name\"\": \"\"James Moss\"\", \"\"affiliation\"\": \"\"Hill LLC\"\", \"\"email\"\": \"\"zpratt@example.com\"\"}, {\"\"name\"\": \"\"Laura S\",89,,,,None,\"[\"\"physical\"\", \"\"bad\"\", \"\"medical\"\"]\",,,arXiv:2020.68814,10.2583/uXtA,Science,2024,,,,Operative high-level installation\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following XML to CSV:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9141</course_id>\n<code>ESH384</code>\n<title>Inverse real-time hardware 101</title>\n<instructor>Matthew Boyd</instructor>\n<credits>4</credits>\n<term>Fall 2022</term>\n<schedule>\n<week>1</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>since</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>next</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>tree</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>everything</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>until</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>how</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>test</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>half</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nESH384,CRS-9141,4,40,30,30,Matthew Boyd,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"western\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"since\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"later\"\"}, {\"\"we\",Fall 2022,Inverse real-time hardware 101\r\nJKU244,CRS-6370,3,40,30,30,Teresa Davis,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"nearly\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"base\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"already\"\"}, {\"\"we\",Fall 2021,Reactive 4thgeneration parallelism 101\r\nHEF399,CRS-4457,4,40,30,30,Alexander Dominguez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"may\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"beat\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"find\"\"}, {\"\"week\"\": 4\",Spring 2023,User-friendly 24hour customer loyalty 101\r\nZLN329,CRS-9809,3,40,30,30,Eddie Keller DDS,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"put\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"travel\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"he\"\"}, {\"\"week\"\": 4\",Fall 2020,Enterprise-wide interactive orchestration 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate clinical note data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4441974</note_id>\n<patient>\n<mrn>MRN-925906</mrn>\n<age>60</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>154/95</bp>\n<hr>108</hr>\n<temp_f>97.8</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J60</icd10>\n</assessment>\n<assessment>\n<problem>hypertension</problem>\n<icd10>I21</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K16</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-6496</course_id>\n<code>TMG245</code>\n<instructor>Maria Bowers</instructor>\n<schedule>\n<week>1</week>\n<topic>situation</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>firm</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>involve</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>change</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>yard</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>morning</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>other</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>left</topic>\n</schedule>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-6496\",\n  \"code\": \"TMG245\",\n  \"instructor\": \"Maria Bowers\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"situation\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"firm\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"involve\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"change\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"yard\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"morning\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"left\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id: POST-19357850\nplatform: twitter\nuser_id: 664b960b-1331-492f-addd-e9b37d21656f\nusername: mbaldwin\ncontent: Forward front agreement cover hour we remember ask. Read glass few word mother\n  deep TV.\ntimestamp: '2026-01-07T13:51:27.605837'\nhashtags:\n- '#cost'\n- '#he'\n- '#relationship'\nengagement:\n  likes: 304\n  shares: 796\n  comments: 124\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"info\": {\n    \"title\": \"Multi-tiered directional knowledge user API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/require\": {\n      \"get\": {\n        \"summary\": \"Suffer kid pull bed decision rest.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ninfo:\n  title: Multi-tiered directional knowledge user API\n  version: 1.0.0\nopenapi: 3.0.0\npaths:\n  /require:\n    get:\n      summary: Suffer kid pull bed decision rest.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3210288\npatient:\n  mrn: MRN-622975\n  age: 76\n  gender: F\nencounter_date: '2026-01-02'\nchief_complaint: headache\nvitals:\n  bp: 158/77\n  hr: 64\n  temp_f: 98.4\nassessment:\n- problem: diabetes\n  icd10: J88\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-4765\"\ncode = \"VMZ479\"\ntitle = \"Exclusive grid-enabled software 101\"\ninstructor = \"Amy Baker\"\ncredits = 4\nterm = \"Fall 2022\"\n[[schedule]]\nweek = 1\ntopic = \"show\"\n\n[[schedule]]\nweek = 2\ntopic = \"cut\"\n\n[[schedule]]\nweek = 3\ntopic = \"next\"\n\n[[schedule]]\nweek = 4\ntopic = \"everything\"\n\n[[schedule]]\nweek = 5\ntopic = \"people\"\n\n[[schedule]]\nweek = 6\ntopic = \"international\"\n\n[[schedule]]\nweek = 7\ntopic = \"since\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Streamlined logistical help-desk API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</grow>\n<get>\n<summary>Will entire deep source history.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//grow>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"authors\": [\n    {\n      \"name\": \"Emily Davis\",\n      \"affiliation\": \"Nelson, Diaz and Humphrey\",\n      \"email\": \"jpalmer@example.org\"\n    },\n    {\n      \"name\": \"Robert Clark\",\n      \"affiliation\": \"James Inc\",\n      \"email\": \"dennis02@example.net\"\n    }\n  ],\n  \"publication\": {\n    \"venue\": \"Science\",\n    \"year\": 2022,\n    \"doi\": \"10.6797/tlMT\"\n  },\n  \"keywords\": [\n    \"lead\",\n    \"list\",\n    \"she\"\n  ],\n  \"funding_source\": null,\n  \"paper_id\": \"arXiv:2022.72917\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<authors>\n<name>Emily Davis</name>\n<affiliation>Nelson, Diaz and Humphrey</affiliation>\n<email>jpalmer@example.org</email>\n</authors>\n<authors>\n<name>Robert Clark</name>\n<affiliation>James Inc</affiliation>\n<email>dennis02@example.net</email>\n</authors>\n<publication>\n<venue>Science</venue>\n<year>2022</year>\n<doi>10.6797/tlMT</doi>\n</publication>\n<keywords>lead</keywords>\n<keywords>list</keywords>\n<keywords>she</keywords>\n<funding_source />\n<paper_id>arXiv:2022.72917</paper_id>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2022.87629</paper_id>\n<title>Decentralized zero tolerance knowledgebase</title>\n<authors>\n<name>Jonathan Murphy</name>\n<affiliation>Long and Sons</affiliation>\n<email>loconnell@example.org</email>\n</authors>\n<authors>\n<name>Patrick Skinner</name>\n<affiliation>Williams and Sons</affiliation>\n<email>chentimothy@example.org</email>\n</authors>\n<authors>\n<name>Todd Smith</name>\n<affiliation>Lewis LLC</affiliation>\n<email>nedwards@example.org</email>\n</authors>\n<abstract>System many view vote. Into challenge wind result new good.</abstract>\n<keywords>modern</keywords>\n<keywords>over</keywords>\n<keywords>during</keywords>\n<keywords>affect</keywords>\n<keywords>sport</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.5354/mlMa</doi>\n</publication>\n<citations>187</citations>\n<funding_source>Fischer and Sons</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Organic analyzing strategy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/similar\": {\n      \"get\": {\n        \"summary\": \"Natural see lot recently.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Organic analyzing strategy API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</similar>\n<get>\n<summary>Natural see lot recently.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//similar>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-7328466</rx_id>\n<patient_mrn>MRN-740510</patient_mrn>\n<prescriber>William Hebert</prescriber>\n<date>2026-01-04</date>\n<medications>\n<name>Lisinopril</name>\n<dosage>20mg</dosage>\n<frequency>TID</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>20mg</dosage>\n<frequency>BID</frequency>\n<quantity>60</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-7328466\",\n  \"patient_mrn\": \"MRN-740510\",\n  \"prescriber\": \"William Hebert\",\n  \"date\": \"2026-01-04\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-277514,Timothy Goodman,RX-9442688\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}]\",MRN-305050,Jonathan Bates,RX-4215789\r\n2026-01-03,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-161836,Michael Nguyen,RX-4591569\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Business-focused zero administration encryption API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</teach>\n<get>\n<summary>Government trade direction personal reason hundred</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//teach>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Business-focused zero administration encryption API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/teach\": {\n      \"get\": {\n        \"summary\": \"Government trade direction personal reason hundred\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-9456</course_id>\n<code>KDS432</code>\n<title>Multi-channeled local complexity 101</title>\n<instructor>Kenneth Rogers</instructor>\n<credits>3</credits>\n<term>Fall 2020</term>\n<schedule>\n<week>1</week>\n<topic>activity</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>foot</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>reason</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>rule</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>paper</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>current</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>scene</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>later</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>choice</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>box</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,category,citations,funding_source,is_available,keywords,paper_id,price,publication_doi,publication_venue,publication_year,rating,title\r\n,,electronics,,,True,,,302.74,,,,1.03,\r\nElse open relate late specific gas. Type factor work include pressure easy available. Against allow ,\"[{\"\"name\"\": \"\"Warren Craig\"\", \"\"affiliation\"\": \"\"Young LLC\"\", \"\"email\"\": \"\"osmith@example.org\"\"}, {\"\"name\"\": \"\"Anne\",,92,None,,\"[\"\"green\"\", \"\"product\"\", \"\"turn\"\", \"\"imagine\"\"]\",arXiv:2024.40999,,10.6125/SevR,Cell,2020,,Ameliorated analyzing pricing structure\r\nHappen cut war case have long interest police. Serve perhaps direction leg human meeting authority p,\"[{\"\"name\"\": \"\"Mark Gregory\"\", \"\"affiliation\"\": \"\"Reynolds-Jones\"\", \"\"email\"\": \"\"nicoleherman@example.org\"\"}, {\"\"n\",,414,None,,\"[\"\"allow\"\", \"\"outside\"\", \"\"body\"\", \"\"effort\"\", \"\"everything\"\"]\",arXiv:2022.43669,,10.8067/vqkZ,Nature,2022,,Versatile 24hour encoding\r\nBorn quickly toward reach edge through result. Entire sound within general dog.,\"[{\"\"name\"\": \"\"Brian Ingram\"\", \"\"affiliation\"\": \"\"Doyle-Todd\"\", \"\"email\"\": \"\"smithronald@example.com\"\"}, {\"\"name\"\":\",,205,Tate-Black,,\"[\"\"record\"\", \"\"draw\"\", \"\"east\"\", \"\"along\"\"]\",arXiv:2022.30341,,10.2984/CLia,Cell,2022,,Distributed intangible application\r\nTrial little history call think federal. Person manager care.,\"[{\"\"name\"\": \"\"Tonya Maldonado\"\", \"\"affiliation\"\": \"\"Collins Ltd\"\", \"\"email\"\": \"\"foxangela@example.net\"\"}, {\"\"name\",,186,None,,\"[\"\"small\"\", \"\"record\"\", \"\"night\"\", \"\"center\"\", \"\"without\"\"]\",arXiv:2023.91437,,10.4058/aKyJ,Science,2020,,Diverse stable artificial intelligence\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nTucker and Sons,3.52,61737533,24.27,16.15,12235621,Q4 2024,70279854,BPQE\r\n\"Walsh, Carrillo and Johnston\",8.79,71388900,19.17,22.29,9923154,Q1 2021,3137025,CMIX\r\n\"Miller, Garcia and Moreno\",6.86,41927303,18.81,17.0,356604,Q4 2020,37969724,EPHR\r\nNewman LLC,7.52,31881083,15.66,14.73,12347450,Q2 2022,48361434,VPAY\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-308726\nname: Cross-platform client-server attitude\ncategory: electronics\nprice: 875.12\ncurrency: USD\nstock: 161\nis_available: true\nrating: 1.18\nreviews: 705\nspecs:\n  weight_kg: 37.34\n  dimensions: 78x81x41cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-48552675</txn_id>\n<customer_id>19d3d880-f410-4b85-a35d-9c5777705d1f</customer_id>\n<timestamp>2026-01-07T13:51:26.837603</timestamp>\n<items>\n<sku>SKU-30306</sku>\n<qty>4</qty>\n<price>206.74</price>\n</items>\n<subtotal>1354.26</subtotal>\n<tax>33.08</tax>\n<total>766.28</total>\n<payment_method>paypal</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-48552675\",\n  \"customer_id\": \"19d3d880-f410-4b85-a35d-9c5777705d1f\",\n  \"timestamp\": \"2026-01-07T13:51:26.837603\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-30306\",\n      \"qty\": 4,\n      \"price\": 206.74\n    }\n  ],\n  \"subtotal\": 1354.26,\n  \"tax\": 33.08,\n  \"total\": 766.28,\n  \"payment_method\": \"paypal\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany: Gonzalez, Williams and Cochran\nticker: YIWX\nquarter: Q2 2022\nrevenue: 52797013\nexpenses: 25542412\nnet_income: 11924982\neps: 0.62\nmetrics:\n  profit_margin: 24.56\n  roe: 13.1\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from YAML to XML:\ncompany: Taylor Ltd\nticker: AOED\nquarter: Q1 2024\nrevenue: 69752271\nexpenses: 52626087\nnet_income: 18580243\neps: 1.63\nmetrics:\n  profit_margin: 23.4\n  roe: 21.22\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from YAML to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Taylor Ltd</company>\n<ticker>AOED</ticker>\n<quarter>Q1 2024</quarter>\n<revenue>69752271</revenue>\n<expenses>52626087</expenses>\n<net_income>18580243</net_income>\n<eps>1.63</eps>\n<metrics>\n<profit_margin>23.4</profit_margin>\n<roe>21.22</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5973418</rx_id>\n<patient_mrn>MRN-615844</patient_mrn>\n<prescriber>Brian Erickson</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</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</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5973418\",\n  \"patient_mrn\": \"MRN-615844\",\n  \"prescriber\": \"Brian Erickson\",\n  \"date\": \"2026-01-01\",\n  \"medications\": [\n    {\n      \"name\": \"Lisinopril\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"TID\",\n      \"quantity\": 60\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 60\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"period\": \"December 2023\",\n  \"total_revenue\": 5338205,\n  \"units_sold\": 90572,\n  \"channels\": [\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 2316482,\n      \"growth\": -1.07\n    },\n    {\n      \"name\": \"online\",\n      \"revenue\": 3744469,\n      \"growth\": -0.81\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-4601\",\n      \"sales\": 454934\n    },\n    {\n      \"sku\": \"SKU-9892\",\n      \"sales\": 55264\n    },\n    {\n      \"sku\": \"SKU-8319\",\n      \"sales\": 254442\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-9723622\",\n  \"product_id\": \"PROD-853148\",\n  \"user_id\": \"44919496-69de-498e-922c-5ea4230c00fa\",\n  \"rating\": 3,\n  \"title\": \"Risk tell team series house.\",\n  \"content\": \"Official police serve past already. Number down similar senior head amount. Focus reality really hold lose.\",\n  \"date\": \"2026-01-03\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 99\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-9723622</review_id>\n<product_id>PROD-853148</product_id>\n<user_id>44919496-69de-498e-922c-5ea4230c00fa</user_id>\n<rating>3</rating>\n<title>Risk tell team series house.</title>\n<content>Official police serve past already. Number down similar senior head amount. Focus reality really hold lose.</content>\n<date>2026-01-03</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>99</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Reactive exuding frame API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/second\": {\n      \"get\": {\n        \"summary\": \"Life century work throughout however miss another.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Reactive exuding frame API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</second>\n<get>\n<summary>Life century work throughout however miss another.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//second>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Face-to-face zero administration application API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</peace>\n<get>\n<summary>Feel piece low way effort action bag.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//peace>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5790382\"\npatient_mrn = \"MRN-357903\"\norder_date = \"2026-01-02\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 56.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 114.1\nunit = \"mg/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 154.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 196.1\nunit = \"g/dL\"\nflag = \"normal\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following TOML to JSON:\nnote_id = \"CN-3759937\"\n\n[patient]\nmrn = \"MRN-802088\"\nage = 30\ngender = \"M\"\n\n[vitals]\nbp = \"119/74\"\nhr = 67\ntemp_f = 100.9\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from TOML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"patient\": {\n    \"mrn\": \"MRN-802088\",\n    \"age\": 30,\n    \"gender\": \"M\"\n  },\n  \"note_id\": \"CN-3759937\",\n  \"vitals\": {\n    \"bp\": \"119/74\",\n    \"hr\": 67,\n    \"temp_f\": 100.9\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate news article data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nauthor: Jenna Bryant\ntags:\n- most\n- 'off'\n- shoulder\nheadline: Secured composite leverage\npublished: '2026-01-04T22:19:16.750289'\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate course syllabus data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNOO384,CRS-7514,4,40,30,30,Lori Martinez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bar\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"population\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"thus\"\"}, {\"\"we\",Fall 2024,Fundamental encompassing database 101\r\nZLC172,CRS-3543,3,40,30,30,Kelly Parker,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"between\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"dinner\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"young\"\"}, {\"\"w\",Fall 2021,Sharable modular archive 101\r\nFQF224,CRS-9589,3,40,30,30,Lucas Chandler,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"this\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"each\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"follow\"\"}, {\"\"week\"\"\",Fall 2022,Reduced static focus group 101\r\nRRP289,CRS-3316,4,40,30,30,Taylor Ramsey,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"those\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"least\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"enter\"\"}, {\"\"week\",Fall 2024,Upgradable asymmetric interface 101\r\nYVJ171,CRS-1609,3,40,30,30,Emily Norton,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"maybe\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"such\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"available\"\"}, {\"\"w\",Spring 2021,Self-enabling even-keeled firmware 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-1369973</review_id>\n<product_id>PROD-861575</product_id>\n<user_id>a55bb48c-5dcb-464a-b952-9d377a4cb9c4</user_id>\n<rating>1</rating>\n<title>Relationship job find one allow law through.</title>\n<content>Now decide senior fact big window yourself. Difference appear seat coach rather once politics. Modern always able physical Republican best draw land.</content>\n<date>2026-01-02</date>\n<verified_purchase>True</verified_purchase>\n<helpful_votes>8</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output transaction record as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n242fd3fb-d1fb-4e06-b998-4ca6fd25c6b7,\"[{\"\"sku\"\": \"\"SKU-16950\"\", \"\"qty\"\": 3, \"\"price\"\": 120.22}, {\"\"sku\"\": \"\"SKU-76122\"\", \"\"qty\"\": 1, \"\"price\"\": 377.76}, {\",apple_pay,1338.06,172.92,2026-01-07T13:51:27.047573,2048.81,TXN-15638187\r\n87fb8358-f308-4846-9f3b-8c0bf98f23e2,\"[{\"\"sku\"\": \"\"SKU-97514\"\", \"\"qty\"\": 1, \"\"price\"\": 442.94}, {\"\"sku\"\": \"\"SKU-17613\"\", \"\"qty\"\": 1, \"\"price\"\": 461.52}, {\",paypal,1014.7,73.61,2026-01-07T13:51:27.048962,1934.44,TXN-72465879\r\n977bd55e-359b-455c-9c7e-c6496441c099,\"[{\"\"sku\"\": \"\"SKU-52889\"\", \"\"qty\"\": 1, \"\"price\"\": 80.16}]\",paypal,1458.44,88.6,2026-01-07T13:51:27.049021,2013.4,TXN-16810043\r\n3c39f72c-160f-4ced-8d17-a0100b62dba3,\"[{\"\"sku\"\": \"\"SKU-79186\"\", \"\"qty\"\": 3, \"\"price\"\": 358.13}, {\"\"sku\"\": \"\"SKU-69189\"\", \"\"qty\"\": 2, \"\"price\"\": 110.22}, {\",apple_pay,1293.97,103.12,2026-01-07T13:51:27.049059,1848.15,TXN-72339060\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-3440\",\n  \"code\": \"KLD251\",\n  \"title\": \"Reverse-engineered foreground infrastructure 101\",\n  \"instructor\": \"Courtney Escobar\",\n  \"credits\": 4,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"despite\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"action\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"big\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"music\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate clinical note data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-4441974\"\nencounter_date = \"2026-01-02\"\nchief_complaint = \"headache\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J60\"\n\n[[assessment]]\nproblem = \"hypertension\"\nicd10 = \"I21\"\n\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K16\"\n\n[patient]\nmrn = \"MRN-925906\"\nage = 60\ngender = \"F\"\n\n[vitals]\nbp = \"154/95\"\nhr = 108\ntemp_f = 97.8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output research paper as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2024.66238\ntitle: Managed encompassing hardware\nauthors:\n- name: Gloria Ramirez\n  affiliation: Butler-Nguyen\n  email: jennifer39@example.com\n- name: Richard Hood\n  affiliation: Knight, Dalton and Mendez\n  email: blackburnmichael@example.org\n- name: James Phillips\n  affiliation: Williams, Torres and Hale\n  email: markcook@example.org\nabstract: Son themselves save measure apply statement blood shoulder. Ahead its offer\n  three season.\nkeywords:\n- produce\n- discuss\n- happen\n- realize\npublication:\n  venue: Science\n  year: 2023\n  doi: 10.6910/bbGr\ncitations: 302\nfunding_source: Woods-Mitchell\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate prescription data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Metformin\",MRN-644382,Chelsea Henson,RX-3684509\r\n2026-01-05,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-621492,Adrian Gardner,RX-3538435\r\n2026-01-02,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 60}, {\"\"name\"\": \"\"Atorvastat\",MRN-799462,James Hurst,RX-5141910\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"product_id\": \"PROD-651261\",\n  \"name\": \"Cross-platform scalable protocol\",\n  \"category\": \"clothing\",\n  \"price\": 855.77,\n  \"currency\": \"USD\",\n  \"stock\": 343,\n  \"is_available\": true,\n  \"rating\": 3.23,\n  \"reviews\": 830,\n  \"specs\": {\n    \"weight_kg\": 21.29,\n    \"dimensions\": \"84x20x91cm\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-651261</product_id>\n<name>Cross-platform scalable protocol</name>\n<category>clothing</category>\n<price>855.77</price>\n<currency>USD</currency>\n<stock>343</stock>\n<is_available>True</is_available>\n<rating>3.23</rating>\n<reviews>830</reviews>\n<specs>\n<weight_kg>21.29</weight_kg>\n<dimensions>84x20x91cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-31892506\"\ncustomer_id = \"6c5d6d8e-2901-438d-be6d-be57a13ea5ab\"\ntimestamp = \"2026-01-07T13:51:25.485684\"\nsubtotal = 692.94\ntax = 100.91\ntotal = 1647.14\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-80058\"\nqty = 4\nprice = 142.37\n\n[[items]]\nsku = \"SKU-53232\"\nqty = 1\nprice = 151.54\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-475777\",\n  \"student_id\": \"STU-613124\",\n  \"course_id\": \"CRS-2241\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 75,\n  \"percentage\": 81.54,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Reactive exuding frame API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</second>\n<get>\n<summary>Life century work throughout however miss another.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//second>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-1748125</article_id>\n<headline>Customizable leadingedge structure</headline>\n<author>Sandra Bennett</author>\n<published>2026-01-03T22:52:42.741679</published>\n<section>Sports</section>\n<content>Majority meeting sound have week public pass. Major food relate spend seven.\nIndeed run fund.\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.</content>\n<tags>subject</tags>\n<tags>attention</tags>\n<tags>class</tags>\n<tags>campaign</tags>\n<tags>second</tags>\n<views>63827</views>\n<shares>2505</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-1748125\",\n  \"headline\": \"Customizable leadingedge structure\",\n  \"author\": \"Sandra Bennett\",\n  \"published\": \"2026-01-03T22:52:42.741679\",\n  \"section\": \"Sports\",\n  \"content\": \"Majority meeting sound have week public pass. Major food relate spend seven.\\nIndeed run fund.\\nFederal right stuff difficult alone miss. Stuff rest model job deep knowledge pull force. Too follow face husband every. Hit important agreement rather card west want.\",\n  \"tags\": [\n    \"subject\",\n    \"attention\",\n    \"class\",\n    \"campaign\",\n    \"second\"\n  ],\n  \"views\": 63827,\n  \"shares\": 2505\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Centralized web-enabled hardware API\n  version: 1.0.0\npaths:\n  /improve:\n    get:\n      summary: Act attention yes herself significant recent.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Grass-roots 6thgeneration ability API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</million>\n<get>\n<summary>About little above investment already magazine.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//million>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Grass-roots 6thgeneration ability API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/million\": {\n      \"get\": {\n        \"summary\": \"About little above investment already magazine.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output error log as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 2a52fc1b-775b-4f0d-9bad-8f4f44e2d81f\ntimestamp: '2026-01-07T13:51:25.611338'\nlevel: ERROR\nservice: typeService\nmessage: Suggest involve part skill write left participant.\nstack_trace:\n- at risk.py:441\n- at strategy.py:390\n- at performance.py:267\n- at kind.py:265\ncontext:\n  user_id: 3651fff2-dc6a-4fe5-a964-ed26913f3e4b\n  request_id: f4fc48f0-6374-4e80-b666-89c2abac0904\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"paper_id\": \"arXiv:2021.87801\",\n  \"title\": \"Cross-group 24/7 methodology\",\n  \"authors\": [\n    {\n      \"name\": \"Scott Webb\",\n      \"affiliation\": \"Chapman LLC\",\n      \"email\": \"juanbooth@example.com\"\n    },\n    {\n      \"name\": \"Robert Mullins\",\n      \"affiliation\": \"Robbins, Adkins and Rogers\",\n      \"email\": \"michaeldunn@example.org\"\n    }\n  ],\n  \"abstract\": \"Reality maybe court material response cell. Middle instead husband win thousand collection.\",\n  \"keywords\": [\n    \"girl\",\n    \"face\",\n    \"protect\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2023,\n    \"doi\": \"10.4960/byWV\"\n  },\n  \"citations\": 193,\n  \"funding_source\": \"Williams Ltd\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.87801</paper_id>\n<title>Cross-group 24/7 methodology</title>\n<authors>\n<name>Scott Webb</name>\n<affiliation>Chapman LLC</affiliation>\n<email>juanbooth@example.com</email>\n</authors>\n<authors>\n<name>Robert Mullins</name>\n<affiliation>Robbins, Adkins and Rogers</affiliation>\n<email>michaeldunn@example.org</email>\n</authors>\n<abstract>Reality maybe court material response cell. Middle instead husband win thousand collection.</abstract>\n<keywords>girl</keywords>\n<keywords>face</keywords>\n<keywords>protect</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2023</year>\n<doi>10.4960/byWV</doi>\n</publication>\n<citations>193</citations>\n<funding_source>Williams Ltd</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output course syllabus as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<schedule>\n<week>1</week>\n<topic>table</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>team</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>miss</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>face</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>sort</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>board</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>effect</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>still</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>training</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>different</topic>\n</schedule>\n<code>GHC481</code>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<term>Spring 2020</term>\n<credits>4</credits>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ninstructor: Tamara Stark\nterm: Spring 2022\ncode: VMA483\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-544771,2026-01-02,\"[{\"\"name\"\": \"\"Prince-Finley\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Stone LLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,52,394049\r\nCTR-432722,2026-01-04,\"[{\"\"name\"\": \"\"Rivera, Armstrong and Martinez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Powers Ltd\"\", \"\"role\"\": \"\"part\",executed,42,172253\r\nCTR-571964,2026-01-02,\"[{\"\"name\"\": \"\"Mercado-Fields\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Dominguez PLC\"\", \"\"role\"\": \"\"party_b\"\"}]\",executed,45,436546\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nviews = 92789\ncontent = \"Couple and teacher radio compare consumer. Pass thing much rather light.\\nFoot four country subject first interview. Defense TV artist to of. Fund miss window scene.\\nWish successful movement city door politics measure. Police media TV out word remain as. Report option appear station example role.\"\nshares = 213\nheadline = \"Re-engineered composite Local Area Network\"\ntags = [ \"couple\", \"this\", \"themselves\", \"whom\",]\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"post_id\": \"POST-19844803\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"eee48898-e428-4685-b6ea-d0074f4ffb8a\",\n  \"username\": \"pinedaryan\",\n  \"content\": \"Between past agree writer forget big. Simple glass protect job answer thank.\\nGovernment prepare rather agency hard. Fear director room future hospital.\",\n  \"timestamp\": \"2026-01-07T13:51:25.753060\",\n  \"hashtags\": [\n    \"#fast\",\n    \"#imagine\",\n    \"#carry\"\n  ],\n  \"engagement\": {\n    \"likes\": 1299,\n    \"shares\": 900,\n    \"comments\": 90\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19844803</post_id>\n<platform>instagram</platform>\n<user_id>eee48898-e428-4685-b6ea-d0074f4ffb8a</user_id>\n<username>pinedaryan</username>\n<content>Between past agree writer forget big. Simple glass protect job answer thank.\nGovernment prepare rather agency hard. Fear director room future hospital.</content>\n<timestamp>2026-01-07T13:51:25.753060</timestamp>\n<hashtags>#fast</hashtags>\n<hashtags>#imagine</hashtags>\n<hashtags>#carry</hashtags>\n<engagement>\n<likes>1299</likes>\n<shares>900</shares>\n<comments>90</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output news article as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id = \"ART-9178511\"\nheadline = \"Fully-configurable secondary access\"\nauthor = \"Gabrielle Daugherty\"\npublished = \"2026-01-05T07:34:40.744934\"\nsection = \"Tech\"\ncontent = \"Lawyer might home mouth end so science. Hope attention strong public teach person beautiful though. Really decision land evening year.\\nJust role ground discover. Five stand writer floor.\"\ntags = [ \"maybe\", \"glass\", \"election\", \"moment\",]\nviews = 24250\nshares = 778\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output financial report as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany = \"Nichols, Ferguson and Butler\"\nticker = \"NDVN\"\nquarter = \"Q1 2022\"\nrevenue = 39470251\nexpenses = 26562838\nnet_income = 16784469\neps = 3.2\n\n[metrics]\nprofit_margin = 27.93\nroe = 5.96\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-9548003\",\n  \"patient_mrn\": \"MRN-322322\",\n  \"order_date\": \"2026-01-03\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 67.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 66.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 118.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 198.6,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 167.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 143.5,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 150.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate clinical note data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K41\"\"}, {\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J91\"\"}, {\"\"problem\",chest pain,,CN-6154695,67,F,MRN-705297,97/107,107,99.6\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"I84\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J84\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-05,CN-6112020,31,M,MRN-385062,105/75,109,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K70\"\"}]\",fever,2026-01-01,CN-7729424,32,M,MRN-419634,157/86,69,99.2\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Intuitive background synergy,585.35,PROD-481006,1.84,381,60x12x72cm,5.29,42\r\nbooks,USD,True,Robust foreground database,876.92,PROD-252182,1.47,903,17x24x39cm,6.49,716\r\nbooks,USD,True,Business-focused context-sensitive projection,114.07,PROD-373220,2.86,472,78x29x45cm,25.36,693\r\nbooks,USD,True,Quality-focused secondary structure,238.76,PROD-569703,2.13,575,23x29x55cm,13.91,232\r\nbooks,USD,True,Enhanced empowering conglomeration,47.74,PROD-687469,3.14,972,56x79x65cm,30.29,246\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-98000345\ncustomer_id: 681a59bc-1151-4d49-8e75-1af0878315cb\ntimestamp: '2026-01-07T13:51:26.087659'\nitems:\n- sku: SKU-50616\n  qty: 3\n  price: 180.94\n- sku: SKU-82812\n  qty: 5\n  price: 490.31\nsubtotal: 948.16\ntax: 93.65\ntotal: 1389.7\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-3941350\npatient_mrn: MRN-739958\norder_date: '2026-01-01'\npanel: CBC\nresults:\n- test: Glucose\n  value: 134.1\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 188.7\n  unit: g/dL\n  flag: low\n- test: Hemoglobin\n  value: 142.9\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 117.3\n  unit: g/dL\n  flag: normal\n- test: Glucose\n  value: 159.8\n  unit: g/dL\n  flag: normal\n- test: WBC\n  value: 131.5\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-05,Lipid,MRN-266543,LAB-4504067,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 181.1, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"valu\"\r\n2026-01-02,CMP,MRN-560503,LAB-7801123,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 118.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-05,Lipid,MRN-942286,LAB-4011151,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 75.0, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\":\"\r\n2026-01-02,CMP,MRN-122960,LAB-1894634,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 146.7, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 198.\"\r\n2026-01-05,CMP,MRN-704521,LAB-1021208,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 182.6, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 128.8, \"\"un\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate transaction record data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-30576570\"\ncustomer_id = \"a2e7ec78-185c-4070-bf03-47bec515c226\"\ntimestamp = \"2026-01-06T09:43:31.891069\"\nsubtotal = 903.74\ntax = 26.77\ntotal = 481.79\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-84721\"\nqty = 3\nprice = 247.68\n\n[[items]]\nsku = \"SKU-13319\"\nqty = 2\nprice = 77.91\n\n[[items]]\nsku = \"SKU-82094\"\nqty = 4\nprice = 431.56\n\n[[items]]\nsku = \"SKU-56817\"\nqty = 1\nprice = 471.82\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"note_id\": \"CN-8293808\",\n  \"patient\": {\n    \"mrn\": \"MRN-980604\",\n    \"age\": 24,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"150/98\",\n    \"hr\": 93,\n    \"temp_f\": 102.4\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J39\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-8293808</note_id>\n<patient>\n<mrn>MRN-980604</mrn>\n<age>24</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>150/98</bp>\n<hr>93</hr>\n<temp_f>102.4</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J39</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>January 2024</period>\n<total_revenue>3091656</total_revenue>\n<units_sold>63856</units_sold>\n<channels>\n<name>wholesale</name>\n<revenue>2739604</revenue>\n<growth>-0.52</growth>\n</channels>\n<channels>\n<name>online</name>\n<revenue>247982</revenue>\n<growth>14.46</growth>\n</channels>\n<top_products>\n<sku>SKU-7268</sku>\n<sales>409348</sales>\n</top_products>\n<top_products>\n<sku>SKU-4030</sku>\n<sales>70087</sales>\n</top_products>\n<top_products>\n<sku>SKU-4380</sku>\n<sales>298376</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id: CRS-8328\ncode: QKE428\ntitle: Decentralized content-based leverage 101\ninstructor: Sarah Simon\ncredits: 3\nterm: Fall 2022\nschedule:\n- week: 1\n  topic: whole\n- week: 2\n  topic: table\n- week: 3\n  topic: determine\n- week: 4\n  topic: evening\n- week: 5\n  topic: once\n- week: 6\n  topic: some\n- week: 7\n  topic: themselves\n- week: 8\n  topic: table\ngrading:\n  homework: 30\n  midterm: 30\n  final: 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-1795504\"\npatient_mrn = \"MRN-355763\"\nprescriber = \"Henry Padilla\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Metformin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 90\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-9036427</rx_id>\n<patient_mrn>MRN-461250</patient_mrn>\n<prescriber>Zachary Berry</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Atorvastatin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following CSV to TOML:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K80\"\"}]\",fever,2026-01-05,CN-5754690,32,M,MRN-521303,101/104,85,99.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K81\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"J79\"\"}]\",headache,2026-01-03,CN-5422353,41,F,MRN-292601,161/78,63,102.7\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I51\"\"}]\",chest pain,2026-01-01,CN-5001095,40,M,MRN-496916,127/60,83,97.8\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J35\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K87\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-01,CN-8606609,35,M,MRN-952093,96/99,65,100.2\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K96\"\"}]\",chest pain,2026-01-01,CN-5063066,81,F,MRN-389839,164/90,94,98.0\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from CSV to TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nnote_id = \"CN-5754690\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"K80\"\n\n[patient]\nmrn = \"MRN-521303\"\nage = 32\ngender = \"M\"\n\n[vitals]\nbp = \"101/104\"\nhr = 85\ntemp_f = 99.3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-72432123\"\ncustomer_id = \"d14101dd-b47b-4916-b7e5-0ad54eefbb55\"\ntimestamp = \"2026-01-07T13:51:26.808008\"\nsubtotal = 1301.16\ntax = 124.54\ntotal = 239.49\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-29323\"\nqty = 2\nprice = 70.49\n\n[[items]]\nsku = \"SKU-65460\"\nqty = 3\nprice = 466.32\n\n[[items]]\nsku = \"SKU-59283\"\nqty = 1\nprice = 149.96\n\n[[items]]\nsku = \"SKU-68579\"\nqty = 2\nprice = 13.04\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate research paper data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.69453\",\n  \"title\": \"Assimilated needs-based portal\",\n  \"authors\": [\n    {\n      \"name\": \"Evan Reed\",\n      \"affiliation\": \"Orr, Wheeler and Johnson\",\n      \"email\": \"cheryl05@example.net\"\n    },\n    {\n      \"name\": \"Amanda Mcmahon\",\n      \"affiliation\": \"Maxwell-Price\",\n      \"email\": \"mbowen@example.org\"\n    },\n    {\n      \"name\": \"Angel Vasquez\",\n      \"affiliation\": \"Melendez, Osborne and Harris\",\n      \"email\": \"timothysutton@example.com\"\n    }\n  ],\n  \"abstract\": \"Economy instead thank kitchen. For pattern he purpose strong goal challenge.\",\n  \"keywords\": [\n    \"power\",\n    \"main\",\n    \"light\",\n    \"form\",\n    \"system\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2024,\n    \"doi\": \"10.9550/gbOm\"\n  },\n  \"citations\": 115,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following YAML to XML:\ncompany: Rodriguez, Sanchez and French\nticker: TOPI\nquarter: Q3 2022\nrevenue: 30596216\nexpenses: 79425858\nnet_income: 10739155\neps: 9.27\nmetrics:\n  profit_margin: 21.79\n  roe: 22.32\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from YAML to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Rodriguez, Sanchez and French</company>\n<ticker>TOPI</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>30596216</revenue>\n<expenses>79425858</expenses>\n<net_income>10739155</net_income>\n<eps>9.27</eps>\n<metrics>\n<profit_margin>21.79</profit_margin>\n<roe>22.32</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-313579\nparties:\n- name: Roberts, Newton and Ortiz\n  role: party_a\n- name: Garcia PLC\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 55\nvalue: 108642\nstatus: active\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-4303735\npatient_mrn: MRN-230243\norder_date: '2026-01-02'\npanel: Lipid\nresults:\n- test: WBC\n  value: 142.8\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 100.6\n  unit: mg/dL\n  flag: high\n- test: WBC\n  value: 148.7\n  unit: mg/dL\n  flag: high\n- test: Hemoglobin\n  value: 95.1\n  unit: g/dL\n  flag: normal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nencounter_date = \"2026-01-06\"\nnote_id = \"CN-3244099\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"I24\"\n\n[patient]\nmrn = \"MRN-470382\"\nage = 61\ngender = \"F\"\n\n[vitals]\nbp = \"158/77\"\nhr = 112\ntemp_f = 99.5\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from TOML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment,chief_complaint,encounter_date,note_id,patient_age,patient_gender,patient_mrn,vitals_bp,vitals_hr,vitals_temp_f\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I24\"\"}]\",,2026-01-06,CN-3244099,61,F,MRN-470382,158/77,112,99.5\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J96\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I27\"\"}, {\"\"problem\"\": \"\"\",headache,2026-01-03,CN-6346853,54,F,MRN-619925,130/81,93,97.7\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"K78\"\"}]\",headache,2026-01-03,CN-5182973,24,M,MRN-706108,104/95,95,101.4\r\n\"[{\"\"problem\"\": \"\"hypertension\"\", \"\"icd10\"\": \"\"J68\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"I12\"\"}, {\"\"problem\"\": \"\"\",chest pain,2026-01-06,CN-5391034,41,F,MRN-882784,102/64,85,99.3\r\n\"[{\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K57\"\"}, {\"\"problem\"\": \"\"diabetes\"\", \"\"icd10\"\": \"\"K84\"\"}, {\"\"problem\"\": \"\"diab\",headache,2026-01-05,CN-9245534,31,F,MRN-763226,109/61,112,99.0\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-503172\ntitle: Effect of police on couple\nmethodology:\n  design: observational\n  sample_size: 115\n  duration_days: 313\nresults:\n- metric: safety\n  baseline: 59.14\n  endpoint: 85.37\n  p_value: 0.2568\n- metric: efficacy\n  baseline: 19.52\n  endpoint: 48.11\n  p_value: 0.2468\n- metric: safety\n  baseline: 68.47\n  endpoint: 23.09\n  p_value: 0.1033\n- metric: safety\n  baseline: 15.86\n  endpoint: 84.72\n  p_value: 0.4547\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Transform this XML data into CSV format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<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.</content>\n<article_id>ART-9628131</article_id>\n<headline>Re-contextualized logistical paradigm</headline>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-9628131,,Range condition class leader wrong subject wait. Stop we prevent particular front method. Force item,Re-contextualized logistical paradigm,,,,,\r\nART-1870604,Ryan Simpson,Write commercial their language school my community benefit. Sign organization read federal peace fa,Expanded non-volatile function,2026-01-05T05:21:17.768743,Business,1928,\"[\"\"education\"\", \"\"else\"\", \"\"left\"\", \"\"score\"\", \"\"particularly\"\"]\",58718\r\nART-6625773,Judith Stone,\"Claim box analysis. Worker break former doctor good question.\nRise fall answer during section. Ball \",Organized exuding function,2026-01-05T11:48:19.735227,Politics,1472,\"[\"\"figure\"\", \"\"chance\"\", \"\"pay\"\"]\",82858\r\nART-6006255,James Watson,Reveal cold off dark use inside finally success. Unit cultural structure entire event human watch. T,Switchable attitude-oriented process improvement,2026-01-04T17:55:31.499204,Tech,4582,\"[\"\"small\"\", \"\"travel\"\", \"\"popular\"\"]\",71325\r\nART-3293534,Megan Scott,\"She record citizen. Away nice own nice.\nOver year film tax year material method. Ball imagine cultur\",Cross-platform reciprocal paradigm,2026-01-02T22:51:52.027029,Business,1734,\"[\"\"accept\"\", \"\"plant\"\", \"\"successful\"\", \"\"exist\"\"]\",46560\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-64636774</post_id>\n<platform>instagram</platform>\n<user_id>180a1898-015f-483f-94a7-e771a6fb148e</user_id>\n<username>melissa16</username>\n<content>Use Mr only week. Crime form attention. Right world stand surface rate three.</content>\n<timestamp>2026-01-07T13:51:26.942814</timestamp>\n<hashtags>#economic</hashtags>\n<hashtags>#speak</hashtags>\n<engagement>\n<likes>9998</likes>\n<shares>653</shares>\n<comments>4</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Seven behavior less water pretty.\nRock key include. Kind than game agreement.\nPaper position reduce \",393,1826,489,\"[\"\"#draw\"\", \"\"#five\"\", \"\"#culture\"\", \"\"#sport\"\"]\",twitter,POST-78526123,2026-01-07T13:51:27.460227,17596017-ad50-41af-8dc2-8746d15af00d,qsharp\r\nDecide size enough. Third song authority name seven edge scene. Impact million owner result this eye,440,9818,50,\"[\"\"#career\"\", \"\"#throw\"\", \"\"#hard\"\"]\",instagram,POST-25740818,2026-01-07T13:51:27.461650,cda65398-b2f1-4c14-8c04-374518a3ba20,lambertevan\r\n\"Hotel on black lead. Interview purpose one early.\nCentury final drop left put line drive. Own car le\",136,894,493,\"[\"\"#successful\"\", \"\"#reduce\"\", \"\"#stock\"\", \"\"#reveal\"\"]\",instagram,POST-14479605,2026-01-07T13:51:27.462051,1a769d3a-0b1e-45a6-a719-2b55db5204dc,figueroakevin\r\nWife debate agreement create score. Positive option remain strong interesting key. Food return menti,394,5576,127,\"[\"\"#forget\"\", \"\"#agreement\"\", \"\"#play\"\", \"\"#career\"\"]\",instagram,POST-89677781,2026-01-07T13:51:27.462363,e253954f-7fef-4401-abfe-544599172fea,bailey39\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: April 2020\ntotal_revenue: 1914989\nunits_sold: 47758\nchannels:\n- name: wholesale\n  revenue: 3617590\n  growth: 20.48\n- name: online\n  revenue: 654207\n  growth: 24.4\ntop_products:\n- sku: SKU-4328\n  sales: 466200\n- sku: SKU-2589\n  sales: 244105\n- sku: SKU-7725\n  sales: 25778\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Secured intangible initiative API\"\nversion = \"1.0.0\"\n\n[paths.\"/whatever\".get]\nsummary = \"None democratic woman time push great a.\"\n[[paths.\"/whatever\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/whatever\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/whatever\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/whatever\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/whatever\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nKLD251,CRS-3440,4,40,30,30,Courtney Escobar,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"despite\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"choose\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"action\"\"}, {\"\"\",Spring 2022,Reverse-engineered foreground infrastructure 101\r\nCSN494,CRS-8090,4,40,30,30,Anthony Reed,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"seek\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"less\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"stay\"\"}, {\"\"week\"\": \",Spring 2023,Synchronized disintermediate application 101\r\nINH432,CRS-4841,3,40,30,30,Elizabeth Patel MD,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"foot\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"travel\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"police\"\"}, {\"\"wee\",Spring 2023,Inverse fault-tolerant projection 101\r\nSZP160,CRS-3722,3,40,30,30,Sheryl Roberts,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"admit\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"cup\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"coach\"\"}, {\"\"week\"\":\",Fall 2022,Diverse discrete paradigm 101\r\nRHW476,CRS-9690,3,40,30,30,Dominique Howard,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"drug\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"past\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"actually\"\"}, {\"\"wee\",Fall 2024,Pre-emptive eco-centric open architecture 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate experiment result data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-137327,RCT,111,679,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 73.26, \"\"endpoint\"\": 72.84, \"\"p_value\"\": 0.0533}, {\"\"metric\"\": \"\"efficacy\",Effect of class on read\r\nnon-significant,EXP-235203,cohort,209,804,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 19.69, \"\"endpoint\"\": 73.08, \"\"p_value\"\": 0.3515}, {\"\"metric\"\": \"\"efficacy\",Effect of task on especially\r\nsignificant,EXP-271383,observational,81,817,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 75.4, \"\"endpoint\"\": 70.46, \"\"p_value\"\": 0.0044}, {\"\"metric\"\": \"\"safety\"\", \",Effect of consider on able\r\nsignificant,EXP-696192,observational,355,328,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 31.21, \"\"endpoint\"\": 49.4, \"\"p_value\"\": 0.3245}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of skill on my\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-301169\"\ntitle = \"Effect of walk on positive\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 26.1\nendpoint = 96.19\np_value = 0.495\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 64.91\nendpoint = 99.15\np_value = 0.2035\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 435\nduration_days = 183\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate experiment result data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-137327\"\ntitle = \"Effect of class on read\"\nconclusion = \"significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 73.26\nendpoint = 72.84\np_value = 0.0533\n\n[[results]]\nmetric = \"efficacy\"\nbaseline = 49.24\nendpoint = 28.3\np_value = 0.0809\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 679\nduration_days = 111\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/traditional_get_parameters,paths_/traditional_get_responses_200_description,paths_/traditional_get_responses_400_description,paths_/traditional_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Optional bottom-line complexity API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Discussion then kind hair.,,,,\r\nTwo professor clearly and. Throughout financial during if truth involve change husband.,\"[{\"\"name\"\": \"\"Patrick Johnson\"\", \"\"affiliation\"\": \"\"Finley PLC\"\", \"\"email\"\": \"\"kmurray@example.org\"\"}, {\"\"name\"\": \",320,None,,,\"[\"\"learn\"\", \"\"leg\"\", \"\"two\"\"]\",,arXiv:2024.27870,,,,,10.7781/mzuv,Cell,2020,Centralized grid-enabled ability\r\nValue treat size keep. Country marriage one though there moment. Local sure likely generation medica,\"[{\"\"name\"\": \"\"Julia Jackson\"\", \"\"affiliation\"\": \"\"Richard Group\"\", \"\"email\"\": \"\"fernandorichard@example.com\"\"}, \",226,\"Campbell, Garcia and Gonzalez\",,,\"[\"\"name\"\", \"\"discuss\"\", \"\"fill\"\", \"\"quickly\"\", \"\"process\"\"]\",,arXiv:2024.34171,,,,,10.3922/iAWM,Cell,2022,Polarized non-volatile software\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5305677</rx_id>\n<patient_mrn>MRN-215469</patient_mrn>\n<prescriber>Jeremy Hatfield</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"rx_id\": \"RX-5305677\",\n  \"patient_mrn\": \"MRN-215469\",\n  \"prescriber\": \"Jeremy Hatfield\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 90\n    },\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"5mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    },\n    {\n      \"name\": \"Atorvastatin\",\n      \"dosage\": \"10mg\",\n      \"frequency\": \"BID\",\n      \"quantity\": 90\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output financial report as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"company\": \"Rodriguez, Sanchez and French\",\n  \"ticker\": \"TOPI\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 30596216,\n  \"expenses\": 79425858,\n  \"net_income\": 10739155,\n  \"eps\": 9.27,\n  \"metrics\": {\n    \"profit_margin\": 21.79,\n    \"roe\": 22.32\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-5570\",\n  \"code\": \"ZMD258\",\n  \"title\": \"Mandatory leadingedge superstructure 101\",\n  \"instructor\": \"Gregory Dunn\",\n  \"credits\": 3,\n  \"term\": \"Spring 2021\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"guess\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"forget\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"technology\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"sea\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"other\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"new\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"report\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"guy\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"can\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"inside\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output clinical note as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3508494</note_id>\n<patient>\n<mrn>MRN-721804</mrn>\n<age>51</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-06</encounter_date>\n<chief_complaint>chest pain</chief_complaint>\n<vitals>\n<bp>130/109</bp>\n<hr>78</hr>\n<temp_f>100.6</temp_f>\n</vitals>\n<assessment>\n<problem>hypertension</problem>\n<icd10>K96</icd10>\n</assessment>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K86</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output sales analytics as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"units_sold\": 11543,\n  \"period\": \"June 2021\",\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 1417680,\n      \"growth\": 41.94\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 3176166,\n      \"growth\": 26.78\n    }\n  ],\n  \"total_revenue\": 8223229,\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-9002\",\n      \"sales\": 412560\n    },\n    {\n      \"sku\": \"SKU-3918\",\n      \"sales\": 426996\n    },\n    {\n      \"sku\": \"SKU-1618\",\n      \"sales\": 496165\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need prescription details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-2186180\"\npatient_mrn = \"MRN-340912\"\nprescriber = \"Derek Gonzalez\"\ndate = \"2026-01-04\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"5mg\"\nfrequency = \"BID\"\nquantity = 90\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"10mg\"\nfrequency = \"daily\"\nquantity = 60\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-141484</product_id>\n<name>Managed bandwidth-monitored focus group</name>\n<category>books</category>\n<price>751.35</price>\n<currency>USD</currency>\n<stock>108</stock>\n<is_available>True</is_available>\n<rating>2.94</rating>\n<reviews>250</reviews>\n<specs>\n<weight_kg>6.41</weight_kg>\n<dimensions>15x82x35cm</dimensions>\n</specs>\n</product_listing>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"product_id\": \"PROD-141484\",\n  \"name\": \"Managed bandwidth-monitored focus group\",\n  \"category\": \"books\",\n  \"price\": 751.35,\n  \"currency\": \"USD\",\n  \"stock\": 108,\n  \"is_available\": true,\n  \"rating\": 2.94,\n  \"reviews\": 250,\n  \"specs\": {\n    \"weight_kg\": 6.41,\n    \"dimensions\": \"15x82x35cm\"\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate student assessment data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-727903\"\nstudent_id = \"STU-924122\"\ncourse_id = \"CRS-5645\"\ntype = \"assignment\"\ndate = \"2026-01-02\"\ntotal_score = 84\npercentage = 90.34\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate contract data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"contract_id\": \"CTR-370819\",\n  \"parties\": [\n    {\n      \"name\": \"Stewart, Thompson and Rogers\",\n      \"role\": \"party_a\"\n    },\n    {\n      \"name\": \"Jackson, Griffin and Flowers\",\n      \"role\": \"party_b\"\n    }\n  ],\n  \"effective_date\": \"2026-01-01\",\n  \"term_months\": 13,\n  \"value\": 109351,\n  \"status\": \"active\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"course_id\": \"CRS-3440\",\n  \"code\": \"KLD251\",\n  \"title\": \"Reverse-engineered foreground infrastructure 101\",\n  \"instructor\": \"Courtney Escobar\",\n  \"credits\": 4,\n  \"term\": \"Spring 2022\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"despite\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"choose\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"action\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"couple\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"big\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"trade\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"measure\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"music\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-3440</course_id>\n<code>KLD251</code>\n<title>Reverse-engineered foreground infrastructure 101</title>\n<instructor>Courtney Escobar</instructor>\n<credits>4</credits>\n<term>Spring 2022</term>\n<schedule>\n<week>1</week>\n<topic>despite</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>choose</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>action</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>couple</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>big</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>trade</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>measure</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>music</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.67735\ntitle: Optimized even-keeled conglomeration\nauthors:\n- name: Garrett Contreras\n  affiliation: Drake-Dunn\n  email: sandrapineda@example.net\n- name: Ryan Bell\n  affiliation: Ramos, Gates and Reed\n  email: kdavis@example.net\n- name: Cindy Silva\n  affiliation: Bryant, Pratt and Henderson\n  email: fmiller@example.net\nabstract: Sort suffer stand purpose six resource. Forward hard officer film the word\n  human first.\nkeywords:\n- attack\n- not\n- describe\npublication:\n  venue: Nature\n  year: 2024\n  doi: 10.7544/lKSL\ncitations: 172\nfunding_source: Wood, Baldwin and Cain\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/sense_get_parameters,paths_/sense_get_responses_200_description,paths_/sense_get_responses_400_description,paths_/sense_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Customer-focused zero-defect array API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,Pay yes agree executive year ahead program.,,,,\r\nSoldier almost phone result white reach. Phone course daughter customer expert factor always mean. O,\"[{\"\"name\"\": \"\"Sheena Cain\"\", \"\"affiliation\"\": \"\"Wilson Ltd\"\", \"\"email\"\": \"\"dennisrichard@example.com\"\"}, {\"\"name\"\"\",23,None,,,\"[\"\"doctor\"\", \"\"seek\"\", \"\"hot\"\", \"\"week\"\", \"\"claim\"\"]\",,arXiv:2023.87145,,,,,10.1817/ymvR,Science,2020,Public-key web-enabled complexity\r\nAccording field out reduce. Attorney difference actually store without door.,\"[{\"\"name\"\": \"\"William Doyle\"\", \"\"affiliation\"\": \"\"Berry, Cardenas and King\"\", \"\"email\"\": \"\"keith92@example.org\"\"\",28,Holloway-Randall,,,\"[\"\"newspaper\"\", \"\"summer\"\", \"\"store\"\", \"\"financial\"\"]\",,arXiv:2020.25497,,,,,10.4338/xXXh,Science,2024,Automated grid-enabled projection\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate transaction record data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-28879814\ncustomer_id: b13e97b5-e84b-41ec-9dea-05b4809cdd35\ntimestamp: '2026-01-07T13:51:25.895711'\nitems:\n- sku: SKU-36351\n  qty: 1\n  price: 310.41\n- sku: SKU-26629\n  qty: 2\n  price: 119.44\n- sku: SKU-75447\n  qty: 3\n  price: 127.79\n- sku: SKU-81003\n  qty: 3\n  price: 336.59\nsubtotal: 994.66\ntax: 143.59\ntotal: 1762.36\npayment_method: apple_pay\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output experiment result as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nnon-significant,EXP-690622,RCT,247,718,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 65.65, \"\"endpoint\"\": 47.19, \"\"p_value\"\": 0.4009}, {\"\"metric\"\": \"\"effica\",Effect of drug on effect\r\nsignificant,EXP-691414,observational,126,197,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 25.53, \"\"endpoint\"\": 54.96, \"\"p_value\"\": 0.394}, {\"\"metric\"\": \"\"efficacy\"\"\",Effect of wonder on attack\r\nnon-significant,EXP-698371,observational,228,345,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 94.15, \"\"endpoint\"\": 43.76, \"\"p_value\"\": 0.1696}, {\"\"metric\"\": \"\"effica\",Effect of remain on among\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate course syllabus data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-1797\",\n  \"code\": \"QAA477\",\n  \"title\": \"User-friendly composite interface 101\",\n  \"instructor\": \"Selena Walker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"all\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"education\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"will\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"operation\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"plan\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"allow\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"post_id\": \"POST-61935008\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"ecd9585e-2adb-45f4-adda-e91c5f4f7ebe\",\n  \"username\": \"halezachary\",\n  \"content\": \"Treat second sing development scientist particularly their. Like question recently line top. Resource movie enter involve order stop region.\",\n  \"timestamp\": \"2026-01-07T13:51:25.597395\",\n  \"hashtags\": [\n    \"#box\",\n    \"#speak\",\n    \"#reason\"\n  ],\n  \"engagement\": {\n    \"likes\": 4027,\n    \"shares\": 604,\n    \"comments\": 194\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"post_id\": \"POST-29576154\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"b3774d2a-dced-4164-bd7b-7d043d7ec920\",\n  \"username\": \"boydkaren\",\n  \"content\": \"Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.\",\n  \"timestamp\": \"2026-01-07T13:51:27.160344\",\n  \"hashtags\": [\n    \"#involve\",\n    \"#fact\",\n    \"#rest\"\n  ],\n  \"engagement\": {\n    \"likes\": 923,\n    \"shares\": 56,\n    \"comments\": 396\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-29576154</post_id>\n<platform>instagram</platform>\n<user_id>b3774d2a-dced-4164-bd7b-7d043d7ec920</user_id>\n<username>boydkaren</username>\n<content>Responsibility this statement area thing imagine free. Under quickly treatment ever end social military. Majority before treatment decide.</content>\n<timestamp>2026-01-07T13:51:27.160344</timestamp>\n<hashtags>#involve</hashtags>\n<hashtags>#fact</hashtags>\n<hashtags>#rest</hashtags>\n<engagement>\n<likes>923</likes>\n<shares>56</shares>\n<comments>396</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: bcec7cd1-70fc-42ba-97dd-2c6e2159fc7d\ntimestamp: '2026-01-07T13:51:27.288021'\nlevel: CRITICAL\nservice: reasonService\nmessage: Recent security meet three Congress find seat.\nstack_trace:\n- at current.py:236\n- at your.py:146\n- at without.py:194\ncontext:\n  user_id: fc408ea4-9df4-4d81-87da-9d63d4bc8744\n  request_id: d8c95012-b6bb-42d7-8cb4-e57e77353a5b\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\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}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\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>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-330074\ntitle: Effect of politics on stop\nmethodology:\n  design: RCT\n  sample_size: 328\n  duration_days: 247\nresults:\n- metric: efficacy\n  baseline: 34.54\n  endpoint: 53.32\n  p_value: 0.0487\n- metric: safety\n  baseline: 10.4\n  endpoint: 13.84\n  p_value: 0.1164\n- metric: efficacy\n  baseline: 78.27\n  endpoint: 47.78\n  p_value: 0.0781\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output api specification as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/rule_get_parameters,paths_/rule_get_responses_200_description,paths_/rule_get_responses_400_description,paths_/rule_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Cross-group bottom-line algorithm API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Center available level environment per away author,,,,\r\nArt necessary because just far. Information someone task PM. Never if why.,\"[{\"\"name\"\": \"\"Mr. Phillip Miller\"\", \"\"affiliation\"\": \"\"Mclaughlin, Anderson and Pierce\"\", \"\"email\"\": \"\"sharonsm\",327,None,,,\"[\"\"customer\"\", \"\"age\"\", \"\"trouble\"\"]\",,arXiv:2021.19335,,,,,10.9579/ucXg,Science,2020,Right-sized bottom-line customer loyalty\r\nPurpose meeting most strategy hand alone official. Rise movie me son former force cultural. Difficul,\"[{\"\"name\"\": \"\"Erin Griffin\"\", \"\"affiliation\"\": \"\"Chapman-Monroe\"\", \"\"email\"\": \"\"jorgewerner@example.org\"\"}, {\"\"na\",265,\"Scott, Johnson and Chandler\",,,\"[\"\"rise\"\", \"\"data\"\", \"\"quickly\"\"]\",,arXiv:2022.50803,,,,,10.4965/BkKb,Nature,2023,Enterprise-wide methodical throughput\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nconclusion,experiment_id,methodology_design,methodology_duration_days,methodology_sample_size,results,title\r\nsignificant,EXP-533467,cohort,116,131,\"[{\"\"metric\"\": \"\"safety\"\", \"\"baseline\"\": 15.4, \"\"endpoint\"\": 65.75, \"\"p_value\"\": 0.0207}, {\"\"metric\"\": \"\"safety\"\", \",Effect of nothing on move\r\nnon-significant,EXP-800164,RCT,36,762,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 76.94, \"\"endpoint\"\": 68.98, \"\"p_value\"\": 0.0421}, {\"\"metric\"\": \"\"safety\",Effect of his on line\r\nsignificant,EXP-349449,cohort,83,850,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 72.36, \"\"endpoint\"\": 51.8, \"\"p_value\"\": 0.4327}, {\"\"metric\"\": \"\"efficac\",Effect of voice on ever\r\nnon-significant,EXP-173059,observational,175,833,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 73.43, \"\"endpoint\"\": 51.79, \"\"p_value\"\": 0.1145}, {\"\"metric\"\": \"\"effica\",Effect of marriage on maintain\r\nsignificant,EXP-143469,cohort,54,216,\"[{\"\"metric\"\": \"\"efficacy\"\", \"\"baseline\"\": 56.86, \"\"endpoint\"\": 93.28, \"\"p_value\"\": 0.3758}, {\"\"metric\"\": \"\"safety\",Effect of full on religious\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a lab result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\norder_date,panel,patient_mrn,result_id,results\r\n2026-01-04,CMP,MRN-679961,LAB-7491627,\"[{\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 60.4, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"low\"\"}, {\"\"test\"\": \"\"Glucose\"\", \"\"value\"\": 129\"\r\n2026-01-03,Lipid,MRN-102066,LAB-1507097,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 105.8, \"\"unit\"\": \"\"mg/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 5\"\r\n2026-01-04,CBC,MRN-189661,LAB-9785660,\"[{\"\"test\"\": \"\"Hemoglobin\"\", \"\"value\"\": 107.0, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"high\"\"}, {\"\"test\"\": \"\"Hemoglobin\"\", \"\"val\"\r\n2026-01-05,CMP,MRN-239675,LAB-4908984,\"[{\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 133.2, \"\"unit\"\": \"\"g/dL\"\", \"\"flag\"\": \"\"normal\"\"}, {\"\"test\"\": \"\"WBC\"\", \"\"value\"\": 95.6, \"\"\"\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod: September 2022\ntotal_revenue: 4880286\nunits_sold: 74173\nchannels:\n- name: retail\n  revenue: 2000312\n  growth: 0.96\n- name: wholesale\n  revenue: 3751658\n  growth: -3.19\ntop_products:\n- sku: SKU-6977\n  sales: 264067\n- sku: SKU-7032\n  sales: 443161\n- sku: SKU-1793\n  sales: 209512\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-441964\"\nstudent_id = \"STU-357022\"\ncourse_id = \"CRS-7741\"\ntype = \"assignment\"\ndate = \"2026-01-02\"\ntotal_score = 59\npercentage = 71.29\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 1\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 9\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output transaction record as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id: TXN-79890084\ncustomer_id: 4c9f9f8a-3fb5-41bc-8703-bf6196091515\ntimestamp: '2026-01-06T09:43:29.757714'\nitems:\n- sku: SKU-50400\n  qty: 4\n  price: 80.89\n- sku: SKU-85515\n  qty: 5\n  price: 367.59\n- sku: SKU-41832\n  qty: 5\n  price: 178.88\n- sku: SKU-38315\n  qty: 3\n  price: 240.63\nsubtotal: 788.47\ntax: 5.52\ntotal: 1195.64\npayment_method: paypal\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"result_id\": \"LAB-9047593\",\n  \"patient_mrn\": \"MRN-478989\",\n  \"order_date\": \"2026-01-06\",\n  \"panel\": \"CMP\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 171.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 58.0,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 78.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 138.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 51.5,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.9,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 191.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-9047593</result_id>\n<patient_mrn>MRN-478989</patient_mrn>\n<order_date>2026-01-06</order_date>\n<panel>CMP</panel>\n<results>\n<test>Hemoglobin</test>\n<value>171.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>58.0</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>78.7</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>138.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>51.5</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>141.9</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>191.7</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\nacd22e98-51a5-48fa-ad66-a69b8fba3f2b,\"[{\"\"sku\"\": \"\"SKU-41387\"\", \"\"qty\"\": 1, \"\"price\"\": 386.75}]\",,,171.02,2026-01-07T13:51:25.400660,,TXN-44773795\r\n09af940e-cc0e-44da-aa7c-cee3ddb4b937,\"[{\"\"sku\"\": \"\"SKU-50191\"\", \"\"qty\"\": 4, \"\"price\"\": 360.52}, {\"\"sku\"\": \"\"SKU-49381\"\", \"\"qty\"\": 2, \"\"price\"\": 425.12}, {\",credit_card,111.26,157.87,2026-01-07T13:51:25.402856,509.77,TXN-21290452\r\n81bce72b-5cfb-4075-9a8e-ea5388fcb612,\"[{\"\"sku\"\": \"\"SKU-46358\"\", \"\"qty\"\": 1, \"\"price\"\": 446.13}, {\"\"sku\"\": \"\"SKU-56441\"\", \"\"qty\"\": 1, \"\"price\"\": 221.95}, {\",credit_card,1612.53,11.12,2026-01-07T13:51:25.402939,1819.25,TXN-69347528\r\nd827cdc7-daa4-4cd6-b2f4-8eb4853acada,\"[{\"\"sku\"\": \"\"SKU-80594\"\", \"\"qty\"\": 4, \"\"price\"\": 74.28}, {\"\"sku\"\": \"\"SKU-61669\"\", \"\"qty\"\": 4, \"\"price\"\": 179.24}]\",paypal,1028.94,108.61,2026-01-07T13:51:25.402990,258.37,TXN-20345904\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate prescription data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-9719971\"\npatient_mrn = \"MRN-909141\"\nprescriber = \"Heather Stephens\"\ndate = \"2026-01-05\"\n[[medications]]\nname = \"Atorvastatin\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-2691236\nproduct_id: PROD-245093\nuser_id: 98b0ec97-f0e6-4eda-907b-c1488d5de2f5\nrating: 1\ntitle: Now new sell exist just.\ncontent: 'Issue suddenly such maybe. Military they second staff end agreement.\n\n  Close that speech alone know wish matter. Finally adult statement method.'\ndate: '2026-01-02'\nverified_purchase: false\nhelpful_votes: 34\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id: RX-8706225\npatient_mrn: MRN-970748\nprescriber: Brady Keller\ndate: '2026-01-01'\nmedications:\n- name: Lisinopril\n  dosage: 5mg\n  frequency: TID\n  quantity: 30\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"course_id\": \"CRS-9456\",\n  \"code\": \"KDS432\",\n  \"title\": \"Multi-channeled local complexity 101\",\n  \"instructor\": \"Kenneth Rogers\",\n  \"credits\": 3,\n  \"term\": \"Fall 2020\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"activity\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"foot\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"reason\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"rule\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"paper\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"current\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"scene\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"later\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"choice\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"box\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a financial report."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nThompson LLC,0.69,967762,22.56,23.58,16633381,Q2 2020,63838743,QQLN\r\n\"Alvarado, Jefferson and Fowler\",7.31,62078740,25.79,14.61,18352362,Q4 2023,55620742,GGGW\r\n\"Miller, Anderson and Brooks\",9.82,49609947,12.67,6.82,2637276,Q4 2022,50641904,UDAE\r\nChapman-Vasquez,4.3,32240329,14.21,5.42,2773314,Q4 2024,44604389,STOB\r\n\"Gibson, Oconnor and Gutierrez\",9.64,21945315,14.0,13.41,15970306,Q2 2020,46676417,ZWYS\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Reformat the data below from XML to YAML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Implemented leadingedge groupware API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</reveal>\n<get>\n<summary>Parent dark five.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//reveal>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Implemented leadingedge groupware API\n  version: 1.0.0\npaths:\n  /reveal:\n    get:\n      summary: Parent dark five.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need research paper details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2024.35321\"\ntitle = \"Robust non-volatile product\"\nabstract = \"Politics happy great second source future plan. Wish gun me southern pick series.\"\nkeywords = [ \"study\", \"medical\", \"outside\",]\ncitations = 69\n[[authors]]\nname = \"Kimberly Cross\"\naffiliation = \"Hawkins-Miller\"\nemail = \"albertthomas@example.net\"\n\n[[authors]]\nname = \"Amanda Herrera\"\naffiliation = \"Gonzalez and Sons\"\nemail = \"stephanieflores@example.com\"\n\n[[authors]]\nname = \"Kenneth Hernandez\"\naffiliation = \"Hubbard Ltd\"\nemail = \"yolson@example.com\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2021\ndoi = \"10.2566/DsBf\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate lab result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id: LAB-9548003\npatient_mrn: MRN-322322\norder_date: '2026-01-03'\npanel: CMP\nresults:\n- test: Glucose\n  value: 67.0\n  unit: g/dL\n  flag: high\n- test: Hemoglobin\n  value: 66.7\n  unit: mg/dL\n  flag: low\n- test: Glucose\n  value: 118.1\n  unit: mg/dL\n  flag: normal\n- test: Hemoglobin\n  value: 198.6\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 167.9\n  unit: mg/dL\n  flag: low\n- test: Hemoglobin\n  value: 143.5\n  unit: mg/dL\n  flag: normal\n- test: Glucose\n  value: 150.3\n  unit: g/dL\n  flag: low\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"review_id\": \"REV-2691236\",\n  \"product_id\": \"PROD-245093\",\n  \"user_id\": \"98b0ec97-f0e6-4eda-907b-c1488d5de2f5\",\n  \"rating\": 1,\n  \"title\": \"Now new sell exist just.\",\n  \"content\": \"Issue suddenly such maybe. Military they second staff end agreement.\\nClose that speech alone know wish matter. Finally adult statement method.\",\n  \"date\": \"2026-01-02\",\n  \"verified_purchase\": false,\n  \"helpful_votes\": 34\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert customer review from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<customer_review>\n<review_id>REV-2691236</review_id>\n<product_id>PROD-245093</product_id>\n<user_id>98b0ec97-f0e6-4eda-907b-c1488d5de2f5</user_id>\n<rating>1</rating>\n<title>Now new sell exist just.</title>\n<content>Issue suddenly such maybe. Military they second staff end agreement.\nClose that speech alone know wish matter. Finally adult statement method.</content>\n<date>2026-01-02</date>\n<verified_purchase>False</verified_purchase>\n<helpful_votes>34</helpful_votes>\n</customer_review>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id = \"385c5830-2f90-42e3-ae2f-53faace4448a\"\ntimestamp = \"2026-01-07T13:51:26.292009\"\nlevel = \"CRITICAL\"\nservice = \"almostService\"\nmessage = \"People party agreement mother that investment approach.\"\nstack_trace = [ \"at fight.py:491\", \"at city.py:369\", \"at statement.py:378\",]\n\n[context]\nuser_id = \"264dfcb4-39aa-45b1-999f-d115795470f4\"\nrequest_id = \"4c579c9e-314d-44f6-9e5a-9c3c95ea5e82\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output prescription as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nrx_id = \"RX-8246470\"\npatient_mrn = \"MRN-256913\"\nprescriber = \"Victor Valentine\"\ndate = \"2026-01-01\"\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"20mg\"\nfrequency = \"daily\"\nquantity = 30\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"10mg\"\nfrequency = \"BID\"\nquantity = 60\n\n[[medications]]\nname = \"Lisinopril\"\ndosage = \"5mg\"\nfrequency = \"TID\"\nquantity = 30\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output clinical note as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id: CN-3766387\npatient:\n  mrn: MRN-378219\n  age: 48\n  gender: F\nencounter_date: '2026-01-04'\nchief_complaint: headache\nvitals:\n  bp: 145/101\n  hr: 106\n  temp_f: 101.7\nassessment:\n- problem: diabetes\n  icd10: J94\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"assessment_id\": \"ASMT-577861\",\n  \"student_id\": \"STU-664280\",\n  \"course_id\": \"CRS-8099\",\n  \"type\": \"exam\",\n  \"date\": \"2026-01-06\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 52,\n  \"percentage\": 81.98,\n  \"grade\": \"B\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-577861</assessment_id>\n<student_id>STU-664280</student_id>\n<course_id>CRS-8099</course_id>\n<type>exam</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>1</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>52</total_score>\n<percentage>81.98</percentage>\n<grade>B</grade>\n</student_assessment>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-986141</product_id>\n<name>Focused neutral encoding</name>\n<category>books</category>\n<price>14.45</price>\n<currency>USD</currency>\n<stock>826</stock>\n<is_available>True</is_available>\n<rating>4.59</rating>\n<reviews>564</reviews>\n<specs>\n<weight_kg>27.7</weight_kg>\n<dimensions>42x99x90cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-78526123\"\nplatform = \"twitter\"\nuser_id = \"17596017-ad50-41af-8dc2-8746d15af00d\"\nusername = \"qsharp\"\ncontent = \"Seven behavior less water pretty.\\nRock key include. Kind than game agreement.\\nPaper position reduce purpose I affect wait threat. Third effect newspaper before include decision recently million.\"\ntimestamp = \"2026-01-07T13:51:27.460227\"\nhashtags = [ \"#draw\", \"#five\", \"#culture\", \"#sport\",]\n\n[engagement]\nlikes = 1826\nshares = 489\ncomments = 393\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"6b141850-4372-44c1-8cf7-fc47780a5017\",\n  \"timestamp\": \"2026-01-07T13:51:26.727039\",\n  \"level\": \"WARNING\",\n  \"service\": \"fullService\",\n  \"message\": \"Simply human maintain sport.\",\n  \"stack_trace\": [\n    \"at environmental.py:351\",\n    \"at develop.py:28\",\n    \"at send.py:431\"\n  ],\n  \"context\": {\n    \"user_id\": \"fad7b695-3fb8-4313-ad8d-c2b1d4034196\",\n    \"request_id\": \"2ca5c81e-d6c8-42a4-9e09-9715e928fe91\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>6b141850-4372-44c1-8cf7-fc47780a5017</error_id>\n<timestamp>2026-01-07T13:51:26.727039</timestamp>\n<level>WARNING</level>\n<service>fullService</service>\n<message>Simply human maintain sport.</message>\n<stack_trace>at environmental.py:351</stack_trace>\n<stack_trace>at develop.py:28</stack_trace>\n<stack_trace>at send.py:431</stack_trace>\n<context>\n<user_id>fad7b695-3fb8-4313-ad8d-c2b1d4034196</user_id>\n<request_id>2ca5c81e-d6c8-42a4-9e09-9715e928fe91</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate research paper data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id: arXiv:2023.57642\ntitle: Organized clear-thinking projection\nauthors:\n- name: Thomas Harrison\n  affiliation: Benjamin, Peterson and James\n  email: martinjoseph@example.com\n- name: Samantha Phillips\n  affiliation: Carpenter Ltd\n  email: hawkinssarah@example.com\nabstract: 'Leg third those over. Almost state money hear condition little.\n\n  Manager minute writer manager. Walk hand situation similar media back fill huge.'\nkeywords:\n- decade\n- kitchen\n- discover\n- wide\npublication:\n  venue: Cell\n  year: 2023\n  doi: 10.5371/HWME\ncitations: 306\nfunding_source: null\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-52722833\"\nplatform = \"facebook\"\nuser_id = \"d42576ea-a78d-4261-852d-cbcc2fd55da5\"\nusername = \"justin96\"\ncontent = \"Southern write three operation throw interest whether.\\nDecade quality training employee. Financial out position catch finish author. Past over in create.\\nNice reduce try contain future back customer.\"\ntimestamp = \"2026-01-07T13:51:26.716888\"\nhashtags = [ \"#report\", \"#newspaper\",]\n\n[engagement]\nlikes = 8106\nshares = 850\ncomments = 244\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Grass-roots 6thgeneration ability API\"\nversion = \"1.0.0\"\n\n[paths.\"/million\".get]\nsummary = \"About little above investment already magazine.\"\n[[paths.\"/million\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/million\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/million\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<info>\n<title>Object-based multimedia secured line API</title>\n<version>1.0.0</version>\n</info>\n<openapi>3.0.0</openapi>\n<paths>\n</party>\n<get>\n<summary>Discussion partner stay wear again.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//party>\n</paths>\n</api_specification>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"info\": {\n    \"title\": \"Object-based multimedia secured line API\",\n    \"version\": \"1.0.0\"\n  },\n  \"openapi\": \"3.0.0\",\n  \"paths\": {\n    \"/party\": {\n      \"get\": {\n        \"summary\": \"Discussion partner stay wear again.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-6521707\"\npatient_mrn = \"MRN-862561\"\norder_date = \"2026-01-03\"\npanel = \"CMP\"\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 54.2\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 131.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 80.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 57.1\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-353280\",\n  \"student_id\": \"STU-259399\",\n  \"course_id\": \"CRS-9241\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-05\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 68,\n  \"percentage\": 88.23,\n  \"grade\": \"C\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this TOML data into YAML format:\nperiod = \"October 2022\"\ntotal_revenue = 4790876\nunits_sold = 72609\n[[channels]]\nname = \"retail\"\nrevenue = 1112533\ngrowth = 2.85\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 3150615\ngrowth = -3.34\n\n[[top_products]]\nsku = \"SKU-7795\"\nsales = 492045\n\n[[top_products]]\nsku = \"SKU-5231\"\nsales = 195976\n\n[[top_products]]\nsku = \"SKU-5539\"\nsales = 335045\n\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from TOML to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nperiod: October 2022\ntotal_revenue: 4790876\nunits_sold: 72609\nchannels:\n- name: retail\n  revenue: 1112533\n  growth: 2.85\n- name: wholesale\n  revenue: 3150615\n  growth: -3.34\ntop_products:\n- sku: SKU-7795\n  sales: 492045\n- sku: SKU-5231\n  sales: 195976\n- sku: SKU-5539\n  sales: 335045\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-38439045\"\ncustomer_id = \"39de4165-2950-403a-b7cf-252ec7bafdcc\"\ntimestamp = \"2026-01-07T13:51:25.757679\"\nsubtotal = 964.6\ntax = 142.48\ntotal = 1270.74\npayment_method = \"credit_card\"\n[[items]]\nsku = \"SKU-68017\"\nqty = 5\nprice = 287.63\n\n[[items]]\nsku = \"SKU-13598\"\nqty = 1\nprice = 397.9\n\n[[items]]\nsku = \"SKU-25253\"\nqty = 4\nprice = 226.78\n\n[[items]]\nsku = \"SKU-92380\"\nqty = 1\nprice = 318.47\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Focused background info-mediaries,16.4,PROD-891981,3.23,117,65x39x62cm,31.51,192\r\nbooks,USD,True,Grass-roots eco-centric knowledgebase,318.39,PROD-782001,2.42,28,100x94x68cm,1.37,621\r\nclothing,USD,True,Compatible non-volatile firmware,876.79,PROD-520604,2.38,293,27x69x97cm,3.57,269\r\nbooks,USD,True,Secured grid-enabled circuit,656.87,PROD-170613,1.81,866,45x44x55cm,11.81,246\r\nelectronics,USD,True,Compatible zero administration open system,276.33,PROD-624871,3.07,486,23x53x48cm,26.7,798\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output student assessment as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-871992\",\n  \"student_id\": \"STU-916232\",\n  \"course_id\": \"CRS-5865\",\n  \"type\": \"quiz\",\n  \"date\": \"2026-01-05\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 1,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 10,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 83,\n  \"percentage\": 70.57,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Convert the following TOML to CSV:\nproduct_id = \"PROD-830951\"\nname = \"Multi-layered tangible superstructure\"\ncategory = \"clothing\"\nprice = 269.31\ncurrency = \"USD\"\nstock = 322\nis_available = true\nrating = 2.21\nreviews = 733\n\n[specs]\nweight_kg = 46.04\ndimensions = \"75x77x31cm\"\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert product listing from TOML to CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nclothing,USD,True,Multi-layered tangible superstructure,269.31,PROD-830951,2.21,733,75x77x31cm,46.04,322\r\nelectronics,USD,True,Reduced mission-critical framework,775.81,PROD-106159,3.55,967,56x48x18cm,47.43,519\r\nclothing,USD,True,Operative cohesive data-warehouse,930.6,PROD-713112,4.55,512,29x65x64cm,13.48,969\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<experiment_result>\n<experiment_id>EXP-168652</experiment_id>\n<title>Effect of green on from</title>\n<methodology>\n<design>cohort</design>\n<sample_size>797</sample_size>\n<duration_days>186</duration_days>\n</methodology>\n<results>\n<metric>safety</metric>\n<baseline>24.16</baseline>\n<endpoint>44.82</endpoint>\n<p_value>0.0559</p_value>\n</results>\n<results>\n<metric>efficacy</metric>\n<baseline>16.54</baseline>\n<endpoint>28.48</endpoint>\n<p_value>0.2997</p_value>\n</results>\n<conclusion>non-significant</conclusion>\n</experiment_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert experiment result from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-168652\",\n  \"title\": \"Effect of green on from\",\n  \"methodology\": {\n    \"design\": \"cohort\",\n    \"sample_size\": 797,\n    \"duration_days\": 186\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 24.16,\n      \"endpoint\": 44.82,\n      \"p_value\": 0.0559\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 16.54,\n      \"endpoint\": 28.48,\n      \"p_value\": 0.2997\n    }\n  ],\n  \"conclusion\": \"non-significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of research paper."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npublication:\n  venue: Cell\n  year: 2024\n  doi: 10.9883/sqBt\npaper_id: arXiv:2020.80665\nabstract: Hour coach blue energy thing better. Language suggest somebody what during\n  pick discover.\ncitations: 248\nauthors:\n- name: Randy Nguyen\n  affiliation: Williams LLC\n  email: chadobrien@example.net\n- name: Gary Brown\n  affiliation: Oconnor, House and Mcdonald\n  email: mooreelizabeth@example.com\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output prescription as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"10mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}]\",MRN-579203,Vanessa Moore,RX-4422869\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastati\",MRN-709444,Daniel Estes,RX-6296042\r\n2026-01-05,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 60}]\",MRN-976316,Glen Nichols,RX-5852481\r\n2026-01-04,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Atorvastatin\",MRN-755385,Victoria Walker,RX-4886506\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"20mg\"\", \"\"frequency\"\": \"\"daily\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\",MRN-108795,Carrie Carson,RX-8451407\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output customer review as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dimensions,specs_weight_kg,stock,title,user_id,verified_purchase\r\n,Brother agent radio might own development. Too strong minute building why. Cell so amount imagine si,,2026-01-03,14,,,,PROD-380257,4,REV-1132090,,,,,Young race true property less government.,251dc214-da1e-4fb5-8ea5-d107ad43f82c,False\r\nelectronics,,USD,,,True,Virtual regional access,677.44,PROD-756803,4.63,,123,82x73x56cm,34.24,587,,,\r\nclothing,,USD,,,True,Integrated next generation algorithm,993.52,PROD-874947,2.9,,76,75x54x61cm,40.61,176,,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-9368\"\npercentage = 68.59\nassessment_id = \"ASMT-453812\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5973418</rx_id>\n<patient_mrn>MRN-615844</patient_mrn>\n<prescriber>Brian Erickson</prescriber>\n<date>2026-01-01</date>\n<medications>\n<name>Lisinopril</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</prescription>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Implemented multimedia focus group,524.9,PROD-524008,2.56,633,80x44x77cm,40.1,714\r\nelectronics,USD,True,Team-oriented multi-state throughput,635.65,PROD-270227,4.75,372,27x73x85cm,0.69,932\r\nelectronics,USD,True,Robust coherent functionalities,471.03,PROD-496343,1.49,761,14x34x27cm,8.37,2\r\nelectronics,USD,True,Diverse didactic data-warehouse,628.69,PROD-513692,4.88,552,42x62x20cm,4.11,733\r\nelectronics,USD,True,Up-sized motivating infrastructure,350.07,PROD-474691,4.54,1,43x42x97cm,26.52,742\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Horizontal interactive project API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/base\": {\n      \"get\": {\n        \"summary\": \"Management send father actually special image.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert api specification from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Horizontal interactive project API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</base>\n<get>\n<summary>Management send father actually special image.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//base>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2604144</result_id>\n<patient_mrn>MRN-906692</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>180.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>97.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>88.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>65.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>86.1</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>152.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"result_id\": \"LAB-2604144\",\n  \"patient_mrn\": \"MRN-906692\",\n  \"order_date\": \"2026-01-01\",\n  \"panel\": \"Lipid\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 180.3,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 97.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 88.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 65.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 95.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 86.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 152.8,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"error_id\": \"03dcbba2-8070-483e-a807-51e4c6301bf5\",\n  \"timestamp\": \"2026-01-07T13:51:27.875594\",\n  \"level\": \"WARNING\",\n  \"service\": \"stockService\",\n  \"message\": \"Feel garden dark.\",\n  \"stack_trace\": [\n    \"at another.py:304\",\n    \"at happy.py:331\",\n    \"at record.py:415\"\n  ],\n  \"context\": {\n    \"user_id\": \"cedcf075-a01b-42e9-acdc-a300ea843992\",\n    \"request_id\": \"acbfd7fd-a4ab-431b-a098-ac4537826f14\"\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert error log from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<error_log>\n<error_id>03dcbba2-8070-483e-a807-51e4c6301bf5</error_id>\n<timestamp>2026-01-07T13:51:27.875594</timestamp>\n<level>WARNING</level>\n<service>stockService</service>\n<message>Feel garden dark.</message>\n<stack_trace>at another.py:304</stack_trace>\n<stack_trace>at happy.py:331</stack_trace>\n<stack_trace>at record.py:415</stack_trace>\n<context>\n<user_id>cedcf075-a01b-42e9-acdc-a300ea843992</user_id>\n<request_id>acbfd7fd-a4ab-431b-a098-ac4537826f14</request_id>\n</context>\n</error_log>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?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", "content": "Approach:\n1. Task: Convert lab result from XML to JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"patient_mrn\": \"MRN-135092\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 129.6,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 120.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 141.8,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Hemoglobin\",\n      \"value\": 131.3,\n      \"unit\": \"g/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 147.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    }\n  ],\n  \"result_id\": \"LAB-9224780\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Synergistic client-driven implementation API\"\nversion = \"1.0.0\"\n\n[paths.\"/body\".get]\nsummary = \"Senior difficult suffer side million address.\"\n[[paths.\"/body\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/body\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/body\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"September 2022\"\ntotal_revenue = 1295858\nunits_sold = 19531\n[[channels]]\nname = \"retail\"\nrevenue = 360235\ngrowth = 42.36\n\n[[channels]]\nname = \"wholesale\"\nrevenue = 1562513\ngrowth = 49.29\n\n[[top_products]]\nsku = \"SKU-2359\"\nsales = 66604\n\n[[top_products]]\nsku = \"SKU-2450\"\nsales = 441250\n\n[[top_products]]\nsku = \"SKU-8767\"\nsales = 413062\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<course_id>CRS-1797</course_id>\n<code>QAA477</code>\n<title>User-friendly composite interface 101</title>\n<instructor>Selena Walker</instructor>\n<credits>4</credits>\n<term>Fall 2024</term>\n<schedule>\n<week>1</week>\n<topic>all</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>education</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>will</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>operation</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>western</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>plan</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>allow</topic>\n</schedule>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n</course_syllabus>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-1797\",\n  \"code\": \"QAA477\",\n  \"title\": \"User-friendly composite interface 101\",\n  \"instructor\": \"Selena Walker\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"all\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"education\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"will\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"operation\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"western\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"plan\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"allow\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate lab result data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-2604144</result_id>\n<patient_mrn>MRN-906692</patient_mrn>\n<order_date>2026-01-01</order_date>\n<panel>Lipid</panel>\n<results>\n<test>Hemoglobin</test>\n<value>180.3</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>97.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>88.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>65.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>95.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>86.1</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>152.8</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output api specification as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Streamlined background database API\"\nversion = \"1.0.0\"\n\n[paths.\"/but\".get]\nsummary = \"Policy of cut determine people before under.\"\n[[paths.\"/but\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/but\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/but\".get.parameters]]\nname = \"param2\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/but\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/but\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-19357850</post_id>\n<platform>twitter</platform>\n<user_id>664b960b-1331-492f-addd-e9b37d21656f</user_id>\n<username>mbaldwin</username>\n<content>Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.</content>\n<timestamp>2026-01-07T13:51:27.605837</timestamp>\n<hashtags>#cost</hashtags>\n<hashtags>#he</hashtags>\n<hashtags>#relationship</hashtags>\n<engagement>\n<likes>304</likes>\n<shares>796</shares>\n<comments>124</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,date,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,student_id,title,total_score\r\n,,,2026-01-01,,,,,,,STU-920172,,85\r\nForm knowledge energy also. Star order five say. Let smile those.,\"[{\"\"name\"\": \"\"Kathryn Green\"\", \"\"affiliation\"\": \"\"Valdez Group\"\", \"\"email\"\": \"\"robert41@example.com\"\"}, {\"\"name\"\":\",347,,\"Walsh, Dominguez and Calhoun\",\"[\"\"over\"\", \"\"second\"\", \"\"picture\"\", \"\"rise\"\", \"\"campaign\"\"]\",arXiv:2024.35496,10.8342/DbzY,Nature,2022,,Total user-facing interface,\r\nDoctor painting yes condition several. They research for.,\"[{\"\"name\"\": \"\"Tanner Gomez\"\", \"\"affiliation\"\": \"\"Farmer, Nash and Ford\"\", \"\"email\"\": \"\"ortiztyrone@example.com\"\"\",158,,\"Whitaker, Pearson and Franklin\",\"[\"\"church\"\", \"\"beyond\"\", \"\"action\"\"]\",arXiv:2022.93834,10.3346/bhDf,Cell,2021,,Devolved zero tolerance leverage,\r\nMovie draw film nearly heart home. Sea because world lead identify three interest.,\"[{\"\"name\"\": \"\"Denise Jones\"\", \"\"affiliation\"\": \"\"Smith-Clark\"\", \"\"email\"\": \"\"michelle76@example.com\"\"}, {\"\"name\"\":\",86,,None,\"[\"\"open\"\", \"\"when\"\", \"\"budget\"\", \"\"player\"\", \"\"raise\"\"]\",arXiv:2024.92240,10.8758/pGUx,Nature,2020,,Compatible composite matrix,\r\nShould someone good minute test front point. Suffer watch generation investment agreement.,\"[{\"\"name\"\": \"\"David Wallace\"\", \"\"affiliation\"\": \"\"Hernandez-Nichols\"\", \"\"email\"\": \"\"whitneyaustin@example.org\"\"}\",325,,None,\"[\"\"future\"\", \"\"threat\"\", \"\"since\"\"]\",arXiv:2021.90473,10.3643/Jwku,Nature,2021,,Decentralized hybrid projection,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Transform this XML data into YAML format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<prescription>\n<rx_id>RX-5305677</rx_id>\n<patient_mrn>MRN-215469</patient_mrn>\n<prescriber>Jeremy Hatfield</prescriber>\n<date>2026-01-03</date>\n<medications>\n<name>Metformin</name>\n<dosage>10mg</dosage>\n<frequency>daily</frequency>\n<quantity>90</quantity>\n</medications>\n<medications>\n<name>Metformin</name>\n<dosage>5mg</dosage>\n<frequency>daily</frequency>\n<quantity>30</quantity>\n</medications>\n<medications>\n<name>Atorvastatin</name>\n<dosage>10mg</dosage>\n<frequency>BID</frequency>\n<quantity>90</quantity>\n</medications>\n</prescription>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert prescription from XML to YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nrx_id: RX-5305677\npatient_mrn: MRN-215469\nprescriber: Jeremy Hatfield\ndate: '2026-01-03'\nmedications:\n- name: Metformin\n  dosage: 10mg\n  frequency: daily\n  quantity: 90\n- name: Metformin\n  dosage: 5mg\n  frequency: daily\n  quantity: 30\n- name: Atorvastatin\n  dosage: 10mg\n  frequency: BID\n  quantity: 90\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-718533</assessment_id>\n<student_id>STU-781568</student_id>\n<course_id>CRS-7994</course_id>\n<type>assignment</type>\n<date>2026-01-03</date>\n<scores>\n<question>1</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>5</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>6</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>10</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>11</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>12</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>13</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>14</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>62</total_score>\n<percentage>88.34</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"assessment_id\": \"ASMT-718533\",\n  \"student_id\": \"STU-781568\",\n  \"course_id\": \"CRS-7994\",\n  \"type\": \"assignment\",\n  \"date\": \"2026-01-03\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 12,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 13,\n      \"points_earned\": 7,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 14,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    }\n  ],\n  \"total_score\": 62,\n  \"percentage\": 88.34,\n  \"grade\": \"B\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate api specification data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi = \"3.0.0\"\n\n[info]\ntitle = \"Distributed high-level website API\"\nversion = \"1.0.0\"\n\n[paths.\"/next\".get]\nsummary = \"Movie my movie common adult.\"\n[[paths.\"/next\".get.parameters]]\nname = \"param0\"\nin = \"query\"\ntype = \"string\"\n\n[[paths.\"/next\".get.parameters]]\nname = \"param1\"\nin = \"query\"\ntype = \"string\"\n\n[paths.\"/next\".get.responses.200]\ndescription = \"Success\"\n\n[paths.\"/next\".get.responses.400]\ndescription = \"Bad Request\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-3409162\"\nencounter_date = \"2026-01-05\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J46\"\n\n[patient]\nmrn = \"MRN-721241\"\nage = 35\ngender = \"F\"\n\n[vitals]\nbp = \"173/107\"\nhr = 61\ntemp_f = 99.6\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,category,citations,funding_source,keywords,name,paper_id,publication_doi,publication_venue,publication_year,rating,reviews,specs_dimensions,specs_weight_kg,title\r\n,,books,,,,Synergistic demand-driven solution,,,,,1.53,428,30x85x30cm,21.31,\r\nPlay what until course. Enter hour girl food family hotel trip. Focus born fear throw.,\"[{\"\"name\"\": \"\"Travis Ballard\"\", \"\"affiliation\"\": \"\"Bradley-Jones\"\", \"\"email\"\": \"\"crystalhowell@example.com\"\"}, {\",,16,Chan-Smith,\"[\"\"during\"\", \"\"travel\"\", \"\"laugh\"\", \"\"entire\"\", \"\"return\"\"]\",,arXiv:2020.24260,10.1224/LJwo,Cell,2022,,,,,Expanded reciprocal portal\r\n\"Husband if miss everything. Remember room information but score.\nReceive prove change yard minute. A\",\"[{\"\"name\"\": \"\"David Townsend\"\", \"\"affiliation\"\": \"\"Martin LLC\"\", \"\"email\"\": \"\"whitneyfaith@example.org\"\"}, {\"\"nam\",,42,None,\"[\"\"past\"\", \"\"that\"\", \"\"last\"\", \"\"military\"\"]\",,arXiv:2023.90035,10.1115/xrCM,Science,2020,,,,,Horizontal explicit protocol\r\nAir main hard. Support tend role car owner. Country from energy too federal card. Need shoulder mate,\"[{\"\"name\"\": \"\"Jennifer Woodward\"\", \"\"affiliation\"\": \"\"Clements Inc\"\", \"\"email\"\": \"\"susan81@example.com\"\"}, {\"\"nam\",,155,Mayer PLC,\"[\"\"need\"\", \"\"maintain\"\", \"\"environment\"\", \"\"carry\"\", \"\"case\"\"]\",,arXiv:2021.18889,10.3678/IGtH,Cell,2023,,,,,Pre-emptive global architecture\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output lab result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nresult_id = \"LAB-5956795\"\npatient_mrn = \"MRN-953048\"\norder_date = \"2026-01-05\"\npanel = \"CBC\"\n[[results]]\ntest = \"Glucose\"\nvalue = 138.6\nunit = \"g/dL\"\nflag = \"high\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 69.4\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 89.7\nunit = \"g/dL\"\nflag = \"normal\"\n\n[[results]]\ntest = \"Hemoglobin\"\nvalue = 191.9\nunit = \"g/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 169.5\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"Glucose\"\nvalue = 187.7\nunit = \"mg/dL\"\nflag = \"low\"\n\n[[results]]\ntest = \"WBC\"\nvalue = 120.0\nunit = \"mg/dL\"\nflag = \"high\"\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of clinical note."}, {"role": "assistant", "content": "Approach:\n1. Task: Create clinical note in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nnote_id = \"CN-7237025\"\nencounter_date = \"2026-01-06\"\nchief_complaint = \"fever\"\n[[assessment]]\nproblem = \"diabetes\"\nicd10 = \"J46\"\n\n[patient]\nmrn = \"MRN-276187\"\nage = 53\ngender = \"F\"\n\n[vitals]\nbp = \"95/82\"\nhr = 103\ntemp_f = 102.9\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Convert the following JSON to YAML:\n{\n  \"txn_id\": \"TXN-60159725\",\n  \"customer_id\": \"13707a49-23b0-4133-8216-7e83986c9575\",\n  \"timestamp\": \"2026-01-07T13:51:27.689251\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-82899\",\n      \"qty\": 5,\n      \"price\": 298.29\n    },\n    {\n      \"sku\": \"SKU-51515\",\n      \"qty\": 4,\n      \"price\": 343.78\n    },\n    {\n      \"sku\": \"SKU-53336\",\n      \"qty\": 3,\n      \"price\": 488.21\n    },\n    {\n      \"sku\": \"SKU-52517\",\n      \"qty\": 2,\n      \"price\": 291.79\n    }\n  ],\n  \"subtotal\": 1914.1,\n  \"tax\": 175.88,\n  \"total\": 1360.6,\n  \"payment_method\": \"credit_card\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ntxn_id: TXN-60159725\ncustomer_id: 13707a49-23b0-4133-8216-7e83986c9575\ntimestamp: '2026-01-07T13:51:27.689251'\nitems:\n- sku: SKU-82899\n  qty: 5\n  price: 298.29\n- sku: SKU-51515\n  qty: 4\n  price: 343.78\n- sku: SKU-53336\n  qty: 3\n  price: 488.21\n- sku: SKU-52517\n  qty: 2\n  price: 291.79\nsubtotal: 1914.1\ntax: 175.88\ntotal: 1360.6\npayment_method: credit_card\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate product listing data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nelectronics,USD,True,Re-engineered non-volatile help-desk,197.4,PROD-931598,3.22,172,26x54x91cm,15.28,351\r\nbooks,USD,True,Triple-buffered composite hierarchy,46.85,PROD-267035,1.31,501,99x50x32cm,6.85,27\r\nclothing,USD,True,Sharable dedicated ability,457.07,PROD-655067,2.76,839,48x93x19cm,0.74,315\r\nelectronics,USD,True,Distributed zero tolerance hardware,906.0,PROD-815935,2.15,703,82x11x51cm,4.23,983\r\nbooks,USD,True,Visionary 6thgeneration project,507.74,PROD-498931,1.44,85,60x46x81cm,8.67,428\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/somebody_get_parameters,paths_/somebody_get_responses_200_description,paths_/somebody_get_responses_400_description,paths_/somebody_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Networked system-worthy project API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}, {\"\"name\"\": \"\"param1\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"str\",Success,Bad Request,Threat common organization project.,,,,\r\nRoad role media each represent. Similar recent your piece reach fact whose great. Cover country form,\"[{\"\"name\"\": \"\"Olivia Friedman\"\", \"\"affiliation\"\": \"\"Graham, Foster and Briggs\"\", \"\"email\"\": \"\"sean94@example.co\",394,\"Burnett, Sanders and Williams\",,,\"[\"\"today\"\", \"\"dream\"\", \"\"step\"\", \"\"career\"\", \"\"my\"\"]\",,arXiv:2020.11439,,,,,10.5503/fjno,Nature,2024,Cloned eco-centric frame\r\n\"Entire tonight hold professor child should after. Attention commercial available general.\nSound refl\",\"[{\"\"name\"\": \"\"Leslie Russell\"\", \"\"affiliation\"\": \"\"Foster PLC\"\", \"\"email\"\": \"\"josephfreeman@example.net\"\"}, {\"\"na\",40,None,,,\"[\"\"community\"\", \"\"moment\"\", \"\"message\"\"]\",,arXiv:2020.52271,,,,,10.8657/wzUn,Nature,2022,De-engineered static open system\r\n\"Alone responsibility trip hair eight rule.\nCongress degree certain a wear. Amount which relationship\",\"[{\"\"name\"\": \"\"Jonathan Holland\"\", \"\"affiliation\"\": \"\"Kramer-Chandler\"\", \"\"email\"\": \"\"hoffmanelizabeth@example.c\",28,None,,,\"[\"\"player\"\", \"\"word\"\", \"\"century\"\", \"\"fast\"\"]\",,arXiv:2023.57345,,,,,10.5087/XDqf,Cell,2021,Advanced next generation algorithm\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate product listing data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nproduct_id: PROD-738287\nname: Function-based dedicated installation\ncategory: electronics\nprice: 364.53\ncurrency: USD\nstock: 956\nis_available: true\nrating: 1.64\nreviews: 854\nspecs:\n  weight_kg: 19.72\n  dimensions: 48x33x88cm\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"result_id\": \"LAB-5790382\",\n  \"patient_mrn\": \"MRN-357903\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 56.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 114.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 154.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert lab result from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5790382</result_id>\n<patient_mrn>MRN-357903</patient_mrn>\n<order_date>2026-01-02</order_date>\n<panel>CBC</panel>\n<results>\n<test>Glucose</test>\n<value>56.1</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>114.1</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>154.7</value>\n<unit>mg/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>196.1</value>\n<unit>g/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Richard Ltd\",\n  \"ticker\": \"XHCL\",\n  \"quarter\": \"Q4 2020\",\n  \"revenue\": 71255223,\n  \"expenses\": 54916122,\n  \"net_income\": 1190834,\n  \"eps\": 4.63,\n  \"metrics\": {\n    \"profit_margin\": 14.39,\n    \"roe\": 19.33\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Richard Ltd</company>\n<ticker>XHCL</ticker>\n<quarter>Q4 2020</quarter>\n<revenue>71255223</revenue>\n<expenses>54916122</expenses>\n<net_income>1190834</net_income>\n<eps>4.63</eps>\n<metrics>\n<profit_margin>14.39</profit_margin>\n<roe>19.33</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.59386</paper_id>\n<title>Self-enabling demand-driven application</title>\n<authors>\n<name>Keith Wilcox</name>\n<affiliation>Ruiz-Torres</affiliation>\n<email>martinstephanie@example.org</email>\n</authors>\n<authors>\n<name>Jennifer Mccoy</name>\n<affiliation>Thompson-Marshall</affiliation>\n<email>brianvelasquez@example.org</email>\n</authors>\n<abstract>Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.</abstract>\n<keywords>song</keywords>\n<keywords>TV</keywords>\n<keywords>southern</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.1369/MikD</doi>\n</publication>\n<citations>274</citations>\n<funding_source />\n</research_paper>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2020.59386\",\n  \"title\": \"Self-enabling demand-driven application\",\n  \"authors\": [\n    {\n      \"name\": \"Keith Wilcox\",\n      \"affiliation\": \"Ruiz-Torres\",\n      \"email\": \"martinstephanie@example.org\"\n    },\n    {\n      \"name\": \"Jennifer Mccoy\",\n      \"affiliation\": \"Thompson-Marshall\",\n      \"email\": \"brianvelasquez@example.org\"\n    }\n  ],\n  \"abstract\": \"Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.\",\n  \"keywords\": [\n    \"song\",\n    \"TV\",\n    \"southern\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2020,\n    \"doi\": \"10.1369/MikD\"\n  },\n  \"citations\": 274,\n  \"funding_source\": null\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a product listing."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-421885</product_id>\n<name>Diverse 6thgeneration solution</name>\n<category>books</category>\n<price>48.12</price>\n<currency>USD</currency>\n<stock>460</stock>\n<is_available>True</is_available>\n<rating>3.7</rating>\n<reviews>717</reviews>\n<specs>\n<weight_kg>20.82</weight_kg>\n<dimensions>87x57x81cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in YAML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nitems:\n- sku: SKU-71565\n  qty: 1\n  price: 387.38\n- sku: SKU-23891\n  qty: 1\n  price: 432.74\n- sku: SKU-77840\n  qty: 1\n  price: 463.12\n- sku: SKU-27496\n  qty: 3\n  price: 295.3\ntax: 39.55\ntotal: 1865.58\ncustomer_id: bf96f80b-072c-4f04-82b0-c235c01681a8\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ntxn_id = \"TXN-85338602\"\ncustomer_id = \"ea7970e3-49c7-4d3a-bbe0-6c539dc6c3d3\"\ntimestamp = \"2026-01-07T13:51:25.620781\"\nsubtotal = 468.67\ntax = 148.91\ntotal = 792.01\npayment_method = \"apple_pay\"\n[[items]]\nsku = \"SKU-22630\"\nqty = 3\nprice = 89.97\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"paper_id\": \"arXiv:2020.57295\",\n  \"title\": \"Persevering global groupware\",\n  \"authors\": [\n    {\n      \"name\": \"Edwin Moore\",\n      \"affiliation\": \"Smith-Jones\",\n      \"email\": \"bowenzachary@example.net\"\n    },\n    {\n      \"name\": \"Anna Collins\",\n      \"affiliation\": \"Thomas, Rogers and Baldwin\",\n      \"email\": \"thill@example.com\"\n    },\n    {\n      \"name\": \"Mrs. Mary Delacruz MD\",\n      \"affiliation\": \"French, Rodriguez and Johnson\",\n      \"email\": \"amywest@example.org\"\n    }\n  ],\n  \"abstract\": \"Stand season mind indicate either. Buy gas keep skin.\",\n  \"keywords\": [\n    \"stock\",\n    \"member\",\n    \"laugh\",\n    \"language\",\n    \"right\"\n  ],\n  \"publication\": {\n    \"venue\": \"Cell\",\n    \"year\": 2022,\n    \"doi\": \"10.9461/HDZk\"\n  },\n  \"citations\": 204,\n  \"funding_source\": null\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.57295</paper_id>\n<title>Persevering global groupware</title>\n<authors>\n<name>Edwin Moore</name>\n<affiliation>Smith-Jones</affiliation>\n<email>bowenzachary@example.net</email>\n</authors>\n<authors>\n<name>Anna Collins</name>\n<affiliation>Thomas, Rogers and Baldwin</affiliation>\n<email>thill@example.com</email>\n</authors>\n<authors>\n<name>Mrs. Mary Delacruz MD</name>\n<affiliation>French, Rodriguez and Johnson</affiliation>\n<email>amywest@example.org</email>\n</authors>\n<abstract>Stand season mind indicate either. Buy gas keep skin.</abstract>\n<keywords>stock</keywords>\n<keywords>member</keywords>\n<keywords>laugh</keywords>\n<keywords>language</keywords>\n<keywords>right</keywords>\n<publication>\n<venue>Cell</venue>\n<year>2022</year>\n<doi>10.9461/HDZk</doi>\n</publication>\n<citations>204</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Grass-roots 6thgeneration ability API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</million>\n<get>\n<summary>About little above investment already magazine.</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//million>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate research paper data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2021.53732</paper_id>\n<title>De-engineered exuding monitoring</title>\n<authors>\n<name>Joseph Johnson</name>\n<affiliation>Mccann, Romero and Ortiz</affiliation>\n<email>wcook@example.org</email>\n</authors>\n<authors>\n<name>Mr. Henry Thomas</name>\n<affiliation>Clarke-Williams</affiliation>\n<email>mlittle@example.com</email>\n</authors>\n<abstract>Cut happen you after talk trial accept she. Country church development card. Learn support son service.</abstract>\n<keywords>positive</keywords>\n<keywords>American</keywords>\n<keywords>hand</keywords>\n<keywords>sure</keywords>\n<publication>\n<venue>Science</venue>\n<year>2024</year>\n<doi>10.3815/gTFt</doi>\n</publication>\n<citations>88</citations>\n<funding_source>Kim LLC</funding_source>\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nerror_id: 5916d4b0-e5eb-4224-a3b1-7fe53d3d79db\ntimestamp: '2026-01-06T09:43:33.926303'\nlevel: ERROR\nservice: severalService\nmessage: Collection at police example own happen many indicate.\nstack_trace:\n- at window.py:396\n- at moment.py:386\ncontext:\n  user_id: 6e5d4297-6e17-43f1-892f-b17a06e50dce\n  request_id: 5ef82a17-690d-46e3-a9c8-8442b9e41d26\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Produce a YAML document for a contract."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id: CTR-504304\nparties:\n- name: Waters-Vega\n  role: party_a\n- name: Petty, Thompson and Dillon\n  role: party_b\neffective_date: '2026-01-01'\nterm_months: 50\nvalue: 407863\nstatus: executed\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"June 2020\"\ntotal_revenue = 6701094\nunits_sold = 99823\n[[channels]]\nname = \"wholesale\"\nrevenue = 1446891\ngrowth = 24.39\n\n[[channels]]\nname = \"retail\"\nrevenue = 1233913\ngrowth = -3.78\n\n[[top_products]]\nsku = \"SKU-1210\"\nsales = 430558\n\n[[top_products]]\nsku = \"SKU-7305\"\nsales = 10043\n\n[[top_products]]\nsku = \"SKU-4031\"\nsales = 149245\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-395513\"\nstudent_id = \"STU-179032\"\ncourse_id = \"CRS-9678\"\ntype = \"quiz\"\ndate = \"2026-01-05\"\ntotal_score = 85\npercentage = 73.27\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 12\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 13\npoints_earned = 6\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output financial report as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in JSON\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"revenue\": 81140617,\n  \"metrics\": {\n    \"profit_margin\": 25.46,\n    \"roe\": 20.6\n  },\n  \"quarter\": \"Q1 2021\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-31892506</txn_id>\n<customer_id>6c5d6d8e-2901-438d-be6d-be57a13ea5ab</customer_id>\n<timestamp>2026-01-07T13:51:25.485684</timestamp>\n<items>\n<sku>SKU-80058</sku>\n<qty>4</qty>\n<price>142.37</price>\n</items>\n<items>\n<sku>SKU-53232</sku>\n<qty>1</qty>\n<price>151.54</price>\n</items>\n<subtotal>692.94</subtotal>\n<tax>100.91</tax>\n<total>1647.14</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"txn_id\": \"TXN-31892506\",\n  \"customer_id\": \"6c5d6d8e-2901-438d-be6d-be57a13ea5ab\",\n  \"timestamp\": \"2026-01-07T13:51:25.485684\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-80058\",\n      \"qty\": 4,\n      \"price\": 142.37\n    },\n    {\n      \"sku\": \"SKU-53232\",\n      \"qty\": 1,\n      \"price\": 151.54\n    }\n  ],\n  \"subtotal\": 692.94,\n  \"tax\": 100.91,\n  \"total\": 1647.14,\n  \"payment_method\": \"credit_card\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Create a JSON representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"experiment_id\": \"EXP-137327\",\n  \"title\": \"Effect of class on read\",\n  \"methodology\": {\n    \"design\": \"RCT\",\n    \"sample_size\": 679,\n    \"duration_days\": 111\n  },\n  \"results\": [\n    {\n      \"metric\": \"safety\",\n      \"baseline\": 73.26,\n      \"endpoint\": 72.84,\n      \"p_value\": 0.0533\n    },\n    {\n      \"metric\": \"efficacy\",\n      \"baseline\": 49.24,\n      \"endpoint\": 28.3,\n      \"p_value\": 0.0809\n    }\n  ],\n  \"conclusion\": \"significant\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output experiment result as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id = \"EXP-668018\"\ntitle = \"Effect of three on every\"\nconclusion = \"non-significant\"\n[[results]]\nmetric = \"safety\"\nbaseline = 39.99\nendpoint = 65.09\np_value = 0.1604\n\n[[results]]\nmetric = \"safety\"\nbaseline = 39.56\nendpoint = 97.84\np_value = 0.4786\n\n[methodology]\ndesign = \"RCT\"\nsample_size = 792\nduration_days = 51\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate experiment result data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-500587\ntitle: Effect of seem on put\nmethodology:\n  design: cohort\n  sample_size: 806\n  duration_days: 332\nresults:\n- metric: safety\n  baseline: 59.15\n  endpoint: 80.7\n  p_value: 0.0751\n- metric: efficacy\n  baseline: 25.67\n  endpoint: 99.48\n  p_value: 0.1142\n- metric: safety\n  baseline: 72.29\n  endpoint: 18.69\n  p_value: 0.2768\n- metric: safety\n  baseline: 16.24\n  endpoint: 94.98\n  p_value: 0.315\nconclusion: significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a api specification."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,info_title,info_version,keywords,openapi,paper_id,paths_/million_get_parameters,paths_/million_get_responses_200_description,paths_/million_get_responses_400_description,paths_/million_get_summary,publication_doi,publication_venue,publication_year,title\r\n,,,,Grass-roots 6thgeneration ability API,1.0.0,,3.0.0,,\"[{\"\"name\"\": \"\"param0\"\", \"\"in\"\": \"\"query\"\", \"\"type\"\": \"\"string\"\"}]\",Success,Bad Request,About little above investment already magazine.,,,,\r\nDo remember detail attention take probably. Professional than building sign. Seat activity yard way.,\"[{\"\"name\"\": \"\"William Summers\"\", \"\"affiliation\"\": \"\"Morrison Ltd\"\", \"\"email\"\": \"\"ewilkins@example.org\"\"}, {\"\"name\",163,Harvey Ltd,,,\"[\"\"state\"\", \"\"action\"\", \"\"memory\"\"]\",,arXiv:2024.14640,,,,,10.6708/cIjJ,Science,2020,Streamlined radical solution\r\nPeople job also take its read. Budget already network white thank include mission.,\"[{\"\"name\"\": \"\"Richard Owens\"\", \"\"affiliation\"\": \"\"Mcmahon, Moran and Hale\"\", \"\"email\"\": \"\"crosskatie@example.ne\",223,None,,,\"[\"\"later\"\", \"\"material\"\", \"\"apply\"\", \"\"employee\"\", \"\"success\"\"]\",,arXiv:2022.29242,,,,,10.7298/MzJv,Science,2023,Extended client-driven core\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate lab result data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"result_id\": \"LAB-5790382\",\n  \"patient_mrn\": \"MRN-357903\",\n  \"order_date\": \"2026-01-02\",\n  \"panel\": \"CBC\",\n  \"results\": [\n    {\n      \"test\": \"Glucose\",\n      \"value\": 56.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"high\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 114.1,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"normal\"\n    },\n    {\n      \"test\": \"WBC\",\n      \"value\": 154.7,\n      \"unit\": \"mg/dL\",\n      \"flag\": \"low\"\n    },\n    {\n      \"test\": \"Glucose\",\n      \"value\": 196.1,\n      \"unit\": \"g/dL\",\n      \"flag\": \"normal\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "I need contract details in CSV structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create contract in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-281707,2026-01-01,\"[{\"\"name\"\": \"\"Salazar and Sons\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Thompson Inc\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,60,889675\r\nCTR-257503,2026-01-03,\"[{\"\"name\"\": \"\"Daniel, Benson and Perez\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Reyes-Montgomery\"\", \"\"role\"\": \"\"part\",pending,59,694526\r\nCTR-978309,2026-01-05,\"[{\"\"name\"\": \"\"Delgado Group\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Rodriguez-Smith\"\", \"\"role\"\": \"\"party_b\"\"}]\",pending,16,537690\r\nCTR-497158,2026-01-02,\"[{\"\"name\"\": \"\"Baker-Walker\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Hughes-Harris\"\", \"\"role\"\": \"\"party_b\"\"}]\",active,28,119766\r\nCTR-903018,2026-01-05,\"[{\"\"name\"\": \"\"Love, Duke and Harris\"\", \"\"role\"\": \"\"party_a\"\"}, {\"\"name\"\": \"\"Brown, Fleming and Wolfe\"\", \"\"role\"\": \",active,56,855955\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Convert the following XML to TOML:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<student_assessment>\n<assessment_id>ASMT-458464</assessment_id>\n<student_id>STU-453066</student_id>\n<course_id>CRS-7675</course_id>\n<type>assignment</type>\n<date>2026-01-06</date>\n<scores>\n<question>1</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>2</question>\n<points_earned>9</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>3</question>\n<points_earned>2</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>4</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>5</question>\n<points_earned>4</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>6</question>\n<points_earned>0</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>7</question>\n<points_earned>3</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>8</question>\n<points_earned>7</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<scores>\n<question>9</question>\n<points_earned>8</points_earned>\n<points_possible>10</points_possible>\n</scores>\n<total_score>67</total_score>\n<percentage>65.79</percentage>\n<grade>B</grade>\n</student_assessment>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from XML to TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\nassessment_id = \"ASMT-458464\"\nstudent_id = \"STU-453066\"\ncourse_id = \"CRS-7675\"\ntype = \"assignment\"\ndate = \"2026-01-06\"\ntotal_score = 67\npercentage = 65.79\ngrade = \"B\"\n[[scores]]\nquestion = 1\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 7\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"company\": \"Williams Ltd\",\n  \"ticker\": \"IHFM\",\n  \"quarter\": \"Q3 2022\",\n  \"revenue\": 93368790,\n  \"expenses\": 48847964,\n  \"net_income\": 12028281,\n  \"eps\": 9.18,\n  \"metrics\": {\n    \"profit_margin\": 7.56,\n    \"roe\": 13.89\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Williams Ltd</company>\n<ticker>IHFM</ticker>\n<quarter>Q3 2022</quarter>\n<revenue>93368790</revenue>\n<expenses>48847964</expenses>\n<net_income>12028281</net_income>\n<eps>9.18</eps>\n<metrics>\n<profit_margin>7.56</profit_margin>\n<roe>13.89</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNLW161,CRS-4864,,,,,Ryan Griffin,,,\r\nMNO475,CRS-1155,4,40,30,30,Gary Anderson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"chance\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"six\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"they\"\"}, {\"\"week\"\":\",Spring 2021,Advanced bandwidth-monitored pricing structure 101\r\nPNK422,CRS-6967,4,40,30,30,Belinda Gilbert,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"real\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"rate\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"road\"\"}, {\"\"week\"\": \",Spring 2020,Multi-lateral national circuit 101\r\nIMZ299,CRS-2472,4,40,30,30,Alexander Wallace,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"begin\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"against\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"seat\"\"}, {\"\"wee\",Spring 2024,Re-engineered user-facing array 101\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of experiment result."}, {"role": "assistant", "content": "Approach:\n1. Task: Create experiment result in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nexperiment_id: EXP-160417\ntitle: Effect of agree on both\nmethodology:\n  design: cohort\n  sample_size: 663\n  duration_days: 354\nresults:\n- metric: safety\n  baseline: 13.92\n  endpoint: 49.07\n  p_value: 0.4102\n- metric: safety\n  baseline: 15.99\n  endpoint: 65.81\n  p_value: 0.3043\n- metric: efficacy\n  baseline: 46.51\n  endpoint: 82.23\n  p_value: 0.4775\nconclusion: non-significant\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Produce a JSON document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"rx_id\": \"RX-7309915\",\n  \"patient_mrn\": \"MRN-389849\",\n  \"prescriber\": \"Briana Dickerson\",\n  \"date\": \"2026-01-03\",\n  \"medications\": [\n    {\n      \"name\": \"Metformin\",\n      \"dosage\": \"20mg\",\n      \"frequency\": \"daily\",\n      \"quantity\": 30\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output research paper as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<research_paper>\n<paper_id>arXiv:2020.59386</paper_id>\n<title>Self-enabling demand-driven application</title>\n<authors>\n<name>Keith Wilcox</name>\n<affiliation>Ruiz-Torres</affiliation>\n<email>martinstephanie@example.org</email>\n</authors>\n<authors>\n<name>Jennifer Mccoy</name>\n<affiliation>Thompson-Marshall</affiliation>\n<email>brianvelasquez@example.org</email>\n</authors>\n<abstract>Before today call network oil future. Admit itself catch song various rest. Personal worry quality director.</abstract>\n<keywords>song</keywords>\n<keywords>TV</keywords>\n<keywords>southern</keywords>\n<publication>\n<venue>Nature</venue>\n<year>2020</year>\n<doi>10.1369/MikD</doi>\n</publication>\n<citations>274</citations>\n<funding_source />\n</research_paper>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Transform this XML data into JSON format:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-64636774</post_id>\n<platform>instagram</platform>\n<user_id>180a1898-015f-483f-94a7-e771a6fb148e</user_id>\n<username>melissa16</username>\n<content>Use Mr only week. Crime form attention. Right world stand surface rate three.</content>\n<timestamp>2026-01-07T13:51:26.942814</timestamp>\n<hashtags>#economic</hashtags>\n<hashtags>#speak</hashtags>\n<engagement>\n<likes>9998</likes>\n<shares>653</shares>\n<comments>4</comments>\n</engagement>\n</social_media_post>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert social media post from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"post_id\": \"POST-64636774\",\n  \"platform\": \"instagram\",\n  \"user_id\": \"180a1898-015f-483f-94a7-e771a6fb148e\",\n  \"username\": \"melissa16\",\n  \"content\": \"Use Mr only week. Crime form attention. Right world stand surface rate three.\",\n  \"timestamp\": \"2026-01-07T13:51:26.942814\",\n  \"hashtags\": [\n    \"#economic\",\n    \"#speak\"\n  ],\n  \"engagement\": {\n    \"likes\": 9998,\n    \"shares\": 653,\n    \"comments\": 4\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output product listing as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncategory,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock\r\nbooks,USD,True,Team-oriented eco-centric instruction set,895.6,PROD-697503,1.56,842,62x14x52cm,8.39,631\r\nclothing,USD,True,Compatible reciprocal methodology,109.21,PROD-368405,3.15,955,19x26x98cm,45.18,868\r\nclothing,USD,True,Pre-emptive uniform model,93.07,PROD-859610,4.68,879,40x39x55cm,33.57,982\r\nbooks,USD,True,Team-oriented even-keeled open system,591.27,PROD-508831,4.03,871,14x63x49cm,34.74,515\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-4466987</note_id>\n<patient>\n<mrn>MRN-766590</mrn>\n<age>87</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-02</encounter_date>\n<chief_complaint>headache</chief_complaint>\n<vitals>\n<bp>147/66</bp>\n<hr>72</hr>\n<temp_f>101.1</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>K25</icd10>\n</assessment>\n</clinical_note>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from XML to JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"note_id\": \"CN-4466987\",\n  \"patient\": {\n    \"mrn\": \"MRN-766590\",\n    \"age\": 87,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-02\",\n  \"chief_complaint\": \"headache\",\n  \"vitals\": {\n    \"bp\": \"147/66\",\n    \"hr\": 72,\n    \"temp_f\": 101.1\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"K25\"\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-1131870,Sara Anderson DDS,\"Live happen sound recently everyone drive sport. Bit page adult near. Easy camera care when.\nEnd nea\",Grass-roots background analyzer,2026-01-01T19:27:17.084080,Politics,3348,\"[\"\"nature\"\", \"\"experience\"\", \"\"involve\"\"]\",16245\r\nART-9875272,Robert Smith,Defense beyond data black order particularly. Movement up month build measure none. Customer camera ,Compatible intangible software,2026-01-01T23:59:50.808836,Tech,4350,\"[\"\"capital\"\", \"\"administration\"\", \"\"seat\"\", \"\"run\"\", \"\"history\"\"]\",72453\r\nART-6754146,Amanda Hall,Smile force act way continue citizen life. Miss final sign sound media look myself agency. Sound adu,Organized methodical access,2026-01-06T04:14:52.306570,Politics,3723,\"[\"\"thing\"\", \"\"end\"\", \"\"red\"\", \"\"learn\"\"]\",73168\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output social media post as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-33796851</post_id>\n<platform>instagram</platform>\n<user_id>aa32cdd3-72c6-4e38-bd5e-ff3918321d73</user_id>\n<username>qtownsend</username>\n<content>List floor whatever fly. Play represent five my. Stuff area push other begin team. Wind leg require represent.</content>\n<timestamp>2026-01-07T13:51:26.038556</timestamp>\n<hashtags>#study</hashtags>\n<hashtags>#able</hashtags>\n<hashtags>#week</hashtags>\n<engagement>\n<likes>3006</likes>\n<shares>53</shares>\n<comments>61</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of error log."}, {"role": "assistant", "content": "Approach:\n1. Task: Create error log in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nmessage = \"Computer so cold feeling huge reason reach.\"\nerror_id = \"ddf52566-8f32-4c90-8477-d7f45504f7db\"\nstack_trace = [ \"at their.py:436\", \"at activity.py:81\", \"at test.py:46\",]\ntimestamp = \"2026-01-07T13:51:26.578554\"\n\n[context]\nuser_id = \"97fc14e5-867d-4c23-9d2e-00b538b50acf\"\nrequest_id = \"ab94fb1e-d258-4626-9686-12f860249c41\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-39289028</post_id>\n<platform>instagram</platform>\n<user_id>a2301bd9-5c11-406a-b2a8-1c1f96bbd31c</user_id>\n<username>rhodessharon</username>\n<content>City window data describe address street. Environmental wall shoulder happy artist forget hospital. Chair their before reach picture serve.</content>\n<timestamp>2026-01-07T13:51:26.862472</timestamp>\n<hashtags>#yet</hashtags>\n<hashtags>#listen</hashtags>\n<engagement>\n<likes>2391</likes>\n<shares>751</shares>\n<comments>108</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-6808393,Nicholas Nelson,\"Role note pay phone. Contain skin more real.\nTurn rich cup above chance say affect. Imagine operatio\",Upgradable reciprocal instruction set,2026-01-01T02:31:45.380478,Politics,4578,\"[\"\"their\"\", \"\"me\"\", \"\"Mrs\"\", \"\"material\"\"]\",51587\r\nART-8015501,Stefanie Miller,Order argue nation buy into bed. Exist hear peace truth film evening. Nature try heavy seem add tota,Phased leadingedge instruction set,2026-01-04T04:19:02.928007,Business,2582,\"[\"\"few\"\", \"\"city\"\", \"\"factor\"\", \"\"message\"\", \"\"cut\"\"]\",80037\r\nART-3257055,Alexandra Drake,\"Phone growth program ten goal enjoy stuff. Future nation process billion.\nFree room note religious t\",Function-based scalable monitoring,2026-01-04T03:00:16.604000,Business,209,\"[\"\"send\"\", \"\"quickly\"\", \"\"grow\"\", \"\"particular\"\"]\",19009\r\nART-4487222,Margaret Sullivan,The on book minute. Send what myself rich natural. Trial themselves foreign somebody edge that less ,Innovative discrete database,2026-01-04T22:32:05.565572,Business,4137,\"[\"\"push\"\", \"\"affect\"\", \"\"pick\"\"]\",66558\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate research paper data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n,\"[{\"\"name\"\": \"\"Emily Davis\"\", \"\"affiliation\"\": \"\"Nelson, Diaz and Humphrey\"\", \"\"email\"\": \"\"jpalmer@example.org\"\"}\",,None,\"[\"\"lead\"\", \"\"list\"\", \"\"she\"\"]\",arXiv:2022.72917,10.6797/tlMT,Science,2022,\r\nLeast away hear financial. Push wrong top also bring mean thing. Mouth number language rich produce ,\"[{\"\"name\"\": \"\"Brian Rice\"\", \"\"affiliation\"\": \"\"Kent, Thomas and Thomas\"\", \"\"email\"\": \"\"natalie00@example.com\"\"},\",86,Mason Group,\"[\"\"win\"\", \"\"agent\"\", \"\"whom\"\", \"\"century\"\"]\",arXiv:2021.74901,10.4219/DOyW,Cell,2022,Up-sized leadingedge matrices\r\n\"Together clearly view. Sing learn agreement blood until popular.\nEnvironment physical peace option a\",\"[{\"\"name\"\": \"\"Elizabeth Simmons\"\", \"\"affiliation\"\": \"\"Pennington LLC\"\", \"\"email\"\": \"\"francobarry@example.com\"\"},\",274,Brown-Powell,\"[\"\"man\"\", \"\"citizen\"\", \"\"street\"\"]\",arXiv:2021.67414,10.7758/nwWK,Nature,2021,User-friendly neutral secured line\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output product listing as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create product listing in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<product_listing>\n<product_id>PROD-831490</product_id>\n<name>Seamless optimal task-force</name>\n<category>electronics</category>\n<price>975.8</price>\n<currency>USD</currency>\n<stock>924</stock>\n<is_available>True</is_available>\n<rating>2.71</rating>\n<reviews>121</reviews>\n<specs>\n<weight_kg>17.77</weight_kg>\n<dimensions>52x27x46cm</dimensions>\n</specs>\n</product_listing>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following CSV to JSON:\nabstract,authors,citations,funding_source,keywords,paper_id,publication_doi,publication_venue,publication_year,title\r\n\"Account fish possible democratic ok no. Accept short mention guy.\nPlace finish religious mean end su\",\"[{\"\"name\"\": \"\"Julie Mclaughlin\"\", \"\"affiliation\"\": \"\"Andrews Group\"\", \"\"email\"\": \"\"brianna81@example.org\"\"}, {\"\"n\",60,Diaz-Salinas,\"[\"\"thank\"\", \"\"far\"\", \"\"fund\"\", \"\"get\"\", \"\"role\"\"]\",arXiv:2024.67669,10.1349/JgWc,Nature,2023,Triple-buffered dedicated knowledgebase\r\nParticipant forward situation her issue how. So building radio executive recent interesting signific,\"[{\"\"name\"\": \"\"Rachel Greene\"\", \"\"affiliation\"\": \"\"Murphy, Thomas and Rogers\"\", \"\"email\"\": \"\"lisa81@example.com\"\"\",282,Burns-Sullivan,\"[\"\"crime\"\", \"\"enough\"\", \"\"dinner\"\", \"\"baby\"\"]\",arXiv:2023.52259,10.5475/XGYe,Cell,2024,Multi-channeled systematic productivity\r\nLoss drug address issue stock.,\"[{\"\"name\"\": \"\"Kathleen Anderson\"\", \"\"affiliation\"\": \"\"Vega-Johnson\"\", \"\"email\"\": \"\"danielcurtis@example.net\"\"}, \",255,Everett-Weaver,\"[\"\"outside\"\", \"\"program\"\", \"\"size\"\", \"\"employee\"\"]\",arXiv:2023.27140,10.9793/jSfj,Cell,2021,Exclusive static intranet\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert research paper from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"paper_id\": \"arXiv:2024.67669\",\n  \"title\": \"Triple-buffered dedicated knowledgebase\",\n  \"authors\": [\n    {\n      \"name\": \"Julie Mclaughlin\",\n      \"affiliation\": \"Andrews Group\",\n      \"email\": \"brianna81@example.org\"\n    },\n    {\n      \"name\": \"Peggy Kramer\",\n      \"affiliation\": \"Beasley, Edwards and Webb\",\n      \"email\": \"susan35@example.com\"\n    }\n  ],\n  \"abstract\": \"Account fish possible democratic ok no. Accept short mention guy.\\nPlace finish religious mean end success. Travel into music they.\",\n  \"keywords\": [\n    \"thank\",\n    \"far\",\n    \"fund\",\n    \"get\",\n    \"role\"\n  ],\n  \"publication\": {\n    \"venue\": \"Nature\",\n    \"year\": 2023,\n    \"doi\": \"10.1349/JgWc\"\n  },\n  \"citations\": 60,\n  \"funding_source\": \"Diaz-Salinas\"\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Produce a TOML document for a course syllabus."}, {"role": "assistant", "content": "Approach:\n1. Task: Create course syllabus in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncourse_id = \"CRS-5339\"\ncode = \"WVS181\"\ntitle = \"Front-line modular functionalities 101\"\ninstructor = \"Andrea Reid\"\ncredits = 3\nterm = \"Spring 2022\"\n[[schedule]]\nweek = 1\ntopic = \"son\"\n\n[[schedule]]\nweek = 2\ntopic = \"that\"\n\n[[schedule]]\nweek = 3\ntopic = \"if\"\n\n[[schedule]]\nweek = 4\ntopic = \"office\"\n\n[[schedule]]\nweek = 5\ntopic = \"face\"\n\n[[schedule]]\nweek = 6\ntopic = \"international\"\n\n[[schedule]]\nweek = 7\ntopic = \"area\"\n\n[[schedule]]\nweek = 8\ntopic = \"fish\"\n\n[[schedule]]\nweek = 9\ntopic = \"move\"\n\n[[schedule]]\nweek = 10\ntopic = \"start\"\n\n[[schedule]]\nweek = 11\ntopic = \"within\"\n\n[grading]\nhomework = 30\nmidterm = 30\nfinal = 40\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<period>February 2020</period>\n<total_revenue>2007174</total_revenue>\n<units_sold>24558</units_sold>\n<channels>\n<name>online</name>\n<revenue>235807</revenue>\n<growth>46.03</growth>\n</channels>\n<channels>\n<name>wholesale</name>\n<revenue>4419318</revenue>\n<growth>24.35</growth>\n</channels>\n<top_products>\n<sku>SKU-6554</sku>\n<sales>258652</sales>\n</top_products>\n<top_products>\n<sku>SKU-8652</sku>\n<sales>200091</sales>\n</top_products>\n<top_products>\n<sku>SKU-9581</sku>\n<sales>65110</sales>\n</top_products>\n</sales_analytics>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert sales analytics from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"period\": \"February 2020\",\n  \"total_revenue\": 2007174,\n  \"units_sold\": 24558,\n  \"channels\": [\n    {\n      \"name\": \"online\",\n      \"revenue\": 235807,\n      \"growth\": 46.03\n    },\n    {\n      \"name\": \"wholesale\",\n      \"revenue\": 4419318,\n      \"growth\": 24.35\n    }\n  ],\n  \"top_products\": [\n    {\n      \"sku\": \"SKU-6554\",\n      \"sales\": 258652\n    },\n    {\n      \"sku\": \"SKU-8652\",\n      \"sales\": 200091\n    },\n    {\n      \"sku\": \"SKU-9581\",\n      \"sales\": 65110\n    }\n  ]\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a prescription."}, {"role": "assistant", "content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ndate,medications,patient_mrn,prescriber,rx_id\r\n2026-01-04,\"[{\"\"name\"\": \"\"Metformin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Lisinopril\"\", \",MRN-364771,John Garcia,RX-4857207\r\n2026-01-01,\"[{\"\"name\"\": \"\"Lisinopril\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\", \",MRN-947909,Anthony Keller,RX-8254891\r\n2026-01-01,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"TID\"\", \"\"quantity\"\": 90}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-584077,Katherine Hester,RX-3323545\r\n2026-01-03,\"[{\"\"name\"\": \"\"Atorvastatin\"\", \"\"dosage\"\": \"\"5mg\"\", \"\"frequency\"\": \"\"BID\"\", \"\"quantity\"\": 30}, {\"\"name\"\": \"\"Metformin\"\"\",MRN-674219,Willie Vang,RX-8294280\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Create a XML representation of news article."}, {"role": "assistant", "content": "Approach:\n1. Task: Create news article in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-2188860</article_id>\n<headline>Advanced well-modulated service-desk</headline>\n<author>Michael Logan</author>\n<published>2026-01-03T08:09:52.608144</published>\n<section>Politics</section>\n<content>Include start build no effort continue. Mention sister mention threat.\nChoose herself case writer question over. Hand quickly house send shoulder expert hour.\nAll probably suffer law consider kitchen relationship. Data population personal past security but across.</content>\n<tags>hear</tags>\n<tags>civil</tags>\n<tags>might</tags>\n<tags>way</tags>\n<tags>win</tags>\n<views>35184</views>\n<shares>1092</shares>\n</news_article>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output research paper as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create research paper in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npaper_id = \"arXiv:2022.87629\"\ntitle = \"Decentralized zero tolerance knowledgebase\"\nabstract = \"System many view vote. Into challenge wind result new good.\"\nkeywords = [ \"modern\", \"over\", \"during\", \"affect\", \"sport\",]\ncitations = 187\nfunding_source = \"Fischer and Sons\"\n[[authors]]\nname = \"Jonathan Murphy\"\naffiliation = \"Long and Sons\"\nemail = \"loconnell@example.org\"\n\n[[authors]]\nname = \"Patrick Skinner\"\naffiliation = \"Williams and Sons\"\nemail = \"chentimothy@example.org\"\n\n[[authors]]\nname = \"Todd Smith\"\naffiliation = \"Lewis LLC\"\nemail = \"nedwards@example.org\"\n\n[publication]\nvenue = \"Cell\"\nyear = 2022\ndoi = \"10.5354/mlMa\"\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nreview_id: REV-7169946\nproduct_id: PROD-908355\nuser_id: 109a43ce-0a9d-47ca-b5cc-5940dcb3a5c0\nrating: 3\ntitle: Suffer kid daughter race still baby.\ncontent: 'Young lot card leave book. Thank agency tree shake. Manage organization\n  reduce from sort soldier.\n\n  Run rich marriage parent discover kitchen. Positive person baby list positive really\n  range.'\ndate: '2026-01-05'\nverified_purchase: true\nhelpful_votes: 3\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "I need student assessment details in TOML structure."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id = \"ASMT-839967\"\nstudent_id = \"STU-815047\"\ncourse_id = \"CRS-8089\"\ntype = \"assignment\"\ndate = \"2026-01-05\"\ntotal_score = 59\npercentage = 51.06\ngrade = \"A\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 10\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 8\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of social media post."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-19357850\"\nplatform = \"twitter\"\nuser_id = \"664b960b-1331-492f-addd-e9b37d21656f\"\nusername = \"mbaldwin\"\ncontent = \"Forward front agreement cover hour we remember ask. Read glass few word mother deep TV.\"\ntimestamp = \"2026-01-07T13:51:27.605837\"\nhashtags = [ \"#cost\", \"#he\", \"#relationship\",]\n\n[engagement]\nlikes = 304\nshares = 796\ncomments = 124\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a transaction record."}, {"role": "assistant", "content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncustomer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id\r\n0d66cadd-c42f-4e9b-ae40-46d71f47623d,\"[{\"\"sku\"\": \"\"SKU-83766\"\", \"\"qty\"\": 4, \"\"price\"\": 55.35}, {\"\"sku\"\": \"\"SKU-77209\"\", \"\"qty\"\": 2, \"\"price\"\": 217.97}, {\"\"\",apple_pay,1600.85,34.84,2026-01-07T13:51:27.084892,602.79,TXN-59995807\r\n820513fc-13c2-4f8a-9c0b-fcbfef7c4fce,\"[{\"\"sku\"\": \"\"SKU-66697\"\", \"\"qty\"\": 1, \"\"price\"\": 214.98}]\",credit_card,1217.12,82.58,2026-01-07T13:51:27.085917,724.04,TXN-99092644\r\n23763378-5791-4a97-987b-947ed01c30e8,\"[{\"\"sku\"\": \"\"SKU-90160\"\", \"\"qty\"\": 5, \"\"price\"\": 302.04}]\",apple_pay,1469.64,36.27,2026-01-07T13:51:27.085964,1313.92,TXN-16643253\r\n1019f8f4-9308-441a-918a-d30067b761e8,\"[{\"\"sku\"\": \"\"SKU-58300\"\", \"\"qty\"\": 1, \"\"price\"\": 184.1}, {\"\"sku\"\": \"\"SKU-76581\"\", \"\"qty\"\": 2, \"\"price\"\": 50.41}, {\"\"s\",credit_card,892.61,130.95,2026-01-07T13:51:27.086001,316.1,TXN-28453489\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Reformat the data below from JSON to TOML:\n{\n  \"course_id\": \"CRS-9368\",\n  \"percentage\": 68.59,\n  \"assessment_id\": \"ASMT-453812\",\n  \"scores\": [\n    {\n      \"question\": 1,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 2,\n      \"points_earned\": 3,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 3,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 4,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 5,\n      \"points_earned\": 6,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 6,\n      \"points_earned\": 9,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 7,\n      \"points_earned\": 4,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 8,\n      \"points_earned\": 8,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 9,\n      \"points_earned\": 5,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 10,\n      \"points_earned\": 0,\n      \"points_possible\": 10\n    },\n    {\n      \"question\": 11,\n      \"points_earned\": 2,\n      \"points_possible\": 10\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert student assessment from JSON to TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\ncourse_id = \"CRS-9368\"\npercentage = 68.59\nassessment_id = \"ASMT-453812\"\n[[scores]]\nquestion = 1\npoints_earned = 2\npoints_possible = 10\n\n[[scores]]\nquestion = 2\npoints_earned = 3\npoints_possible = 10\n\n[[scores]]\nquestion = 3\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 4\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 5\npoints_earned = 6\npoints_possible = 10\n\n[[scores]]\nquestion = 6\npoints_earned = 9\npoints_possible = 10\n\n[[scores]]\nquestion = 7\npoints_earned = 4\npoints_possible = 10\n\n[[scores]]\nquestion = 8\npoints_earned = 8\npoints_possible = 10\n\n[[scores]]\nquestion = 9\npoints_earned = 5\npoints_possible = 10\n\n[[scores]]\nquestion = 10\npoints_earned = 0\npoints_possible = 10\n\n[[scores]]\nquestion = 11\npoints_earned = 2\npoints_possible = 10\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Reformat the data below from JSON to XML:\n{\n  \"company\": \"Harris Inc\",\n  \"ticker\": \"KXNS\",\n  \"quarter\": \"Q2 2023\",\n  \"revenue\": 96096321,\n  \"expenses\": 36366080,\n  \"net_income\": 6859279,\n  \"eps\": 2.68,\n  \"metrics\": {\n    \"profit_margin\": 18.37,\n    \"roe\": 11.92\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Harris Inc</company>\n<ticker>KXNS</ticker>\n<quarter>Q2 2023</quarter>\n<revenue>96096321</revenue>\n<expenses>36366080</expenses>\n<net_income>6859279</net_income>\n<eps>2.68</eps>\n<metrics>\n<profit_margin>18.37</profit_margin>\n<roe>11.92</roe>\n</metrics>\n</financial_report>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output api specification as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Centralized web-enabled hardware API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/improve\": {\n      \"get\": {\n        \"summary\": \"Act attention yes herself significant recent.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"February 2020\"\ntotal_revenue = 8086751\nunits_sold = 71190\n[[channels]]\nname = \"wholesale\"\nrevenue = 1341728\ngrowth = 39.05\n\n[[channels]]\nname = \"online\"\nrevenue = 214429\ngrowth = 32.35\n\n[[top_products]]\nsku = \"SKU-2205\"\nsales = 145682\n\n[[top_products]]\nsku = \"SKU-7005\"\nsales = 280084\n\n[[top_products]]\nsku = \"SKU-4811\"\nsales = 311170\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Output lab result as XML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create lab result in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<lab_result>\n<result_id>LAB-5387789</result_id>\n<patient_mrn>MRN-887521</patient_mrn>\n<order_date>2026-01-05</order_date>\n<panel>CBC</panel>\n<results>\n<test>WBC</test>\n<value>66.6</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>111.4</value>\n<unit>mg/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>168.1</value>\n<unit>g/dL</unit>\n<flag>high</flag>\n</results>\n<results>\n<test>Hemoglobin</test>\n<value>136.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>WBC</test>\n<value>148.7</value>\n<unit>g/dL</unit>\n<flag>low</flag>\n</results>\n<results>\n<test>Glucose</test>\n<value>86.9</value>\n<unit>mg/dL</unit>\n<flag>normal</flag>\n</results>\n</lab_result>"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Reformat the data below from XML to JSON:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<news_article>\n<article_id>ART-4067367</article_id>\n<headline>Polarized human-resource adapter</headline>\n<author>Kristin Larson</author>\n<published>2026-01-07T00:05:34.405255</published>\n<section>Business</section>\n<content>Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.</content>\n<tags>program</tags>\n<tags>final</tags>\n<tags>computer</tags>\n<tags>live</tags>\n<views>74807</views>\n<shares>3986</shares>\n</news_article>"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert news article from XML to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"article_id\": \"ART-4067367\",\n  \"headline\": \"Polarized human-resource adapter\",\n  \"author\": \"Kristin Larson\",\n  \"published\": \"2026-01-07T00:05:34.405255\",\n  \"section\": \"Business\",\n  \"content\": \"Ahead effort author use. Unit together series provide arrive country off. Whether let thought down.\\nEight audience power analysis. Age hope leader yeah without. Experience kitchen heart city.\",\n  \"tags\": [\n    \"program\",\n    \"final\",\n    \"computer\",\n    \"live\"\n  ],\n  \"views\": 74807,\n  \"shares\": 3986\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Generate api specification data in JSON format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in JSON\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"openapi\": \"3.0.0\",\n  \"info\": {\n    \"title\": \"Secured well-modulated policy API\",\n    \"version\": \"1.0.0\"\n  },\n  \"paths\": {\n    \"/article\": {\n      \"get\": {\n        \"summary\": \"During certainly full.\",\n        \"parameters\": [\n          {\n            \"name\": \"param0\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param1\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          },\n          {\n            \"name\": \"param2\",\n            \"in\": \"query\",\n            \"type\": \"string\"\n          }\n        ],\n        \"responses\": {\n          \"200\": {\n            \"description\": \"Success\"\n          },\n          \"400\": {\n            \"description\": \"Bad Request\"\n          }\n        }\n      }\n    }\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Generate sales analytics data in TOML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"November 2022\"\ntotal_revenue = 9138741\nunits_sold = 89798\n[[channels]]\nname = \"wholesale\"\nrevenue = 1234153\ngrowth = 40.64\n\n[[channels]]\nname = \"online\"\nrevenue = 991509\ngrowth = -4.15\n\n[[top_products]]\nsku = \"SKU-9585\"\nsales = 30234\n\n[[top_products]]\nsku = \"SKU-8072\"\nsales = 57362\n\n[[top_products]]\nsku = \"SKU-4011\"\nsales = 249730\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Output social media post as JSON."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n{\n  \"post_id\": \"POST-52722833\",\n  \"platform\": \"facebook\",\n  \"user_id\": \"d42576ea-a78d-4261-852d-cbcc2fd55da5\",\n  \"username\": \"justin96\",\n  \"content\": \"Southern write three operation throw interest whether.\\nDecade quality training employee. Financial out position catch finish author. Past over in create.\\nNice reduce try contain future back customer.\",\n  \"timestamp\": \"2026-01-07T13:51:26.716888\",\n  \"hashtags\": [\n    \"#report\",\n    \"#newspaper\"\n  ],\n  \"engagement\": {\n    \"likes\": 8106,\n    \"shares\": 850,\n    \"comments\": 244\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate social media post data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<social_media_post>\n<post_id>POST-94493547</post_id>\n<platform>instagram</platform>\n<user_id>ebddd714-2a63-4fd6-985c-fb7fe32db0b4</user_id>\n<username>laura52</username>\n<content>Property political your form stand cup blood. Business later seem sea represent enough relationship memory.\nWhat ok that look past. Budget understand mouth during brother pull type spring.</content>\n<timestamp>2026-01-07T13:51:27.134920</timestamp>\n<hashtags>#red</hashtags>\n<hashtags>#hotel</hashtags>\n<hashtags>#create</hashtags>\n<engagement>\n<likes>8599</likes>\n<shares>93</shares>\n<comments>39</comments>\n</engagement>\n</social_media_post>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Generate api specification data in XML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<api_specification>\n<openapi>3.0.0</openapi>\n<info>\n<title>Re-engineered mobile superstructure API</title>\n<version>1.0.0</version>\n</info>\n<paths>\n</benefit>\n<get>\n<summary>Chair media space recognize doctor would second me</summary>\n<parameters>\n<name>param0</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param1</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<parameters>\n<name>param2</name>\n<in>query</in>\n<type>string</type>\n</parameters>\n<responses>\n<200>\n<description>Success</description>\n</200>\n<400>\n<description>Bad Request</description>\n</400>\n</responses>\n</get>\n<//benefit>\n</paths>\n</api_specification>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Produce a XML document for a sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<sales_analytics>\n<total_revenue>6798538</total_revenue>\n<channels>\n<name>online</name>\n<revenue>2139770</revenue>\n<growth>-9.99</growth>\n</channels>\n<channels>\n<name>retail</name>\n<revenue>1809716</revenue>\n<growth>7.01</growth>\n</channels>\n<top_products>\n<sku>SKU-3049</sku>\n<sales>22854</sales>\n</top_products>\n<top_products>\n<sku>SKU-5505</sku>\n<sales>203281</sales>\n</top_products>\n<top_products>\n<sku>SKU-9853</sku>\n<sales>260538</sales>\n</top_products>\n</sales_analytics>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  },\n  \"credits\": 4,\n  \"course_id\": \"CRS-7759\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"meet\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"around\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"college\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"fly\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"summer\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"painting\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"size\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"off\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"point\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"light\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"nothing\"\n    }\n  ],\n  \"instructor\": \"Matthew Johnson\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from JSON to XML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<course_syllabus>\n<grading>\n<homework>30</homework>\n<midterm>30</midterm>\n<final>40</final>\n</grading>\n<credits>4</credits>\n<course_id>CRS-7759</course_id>\n<schedule>\n<week>1</week>\n<topic>meet</topic>\n</schedule>\n<schedule>\n<week>2</week>\n<topic>around</topic>\n</schedule>\n<schedule>\n<week>3</week>\n<topic>college</topic>\n</schedule>\n<schedule>\n<week>4</week>\n<topic>fly</topic>\n</schedule>\n<schedule>\n<week>5</week>\n<topic>summer</topic>\n</schedule>\n<schedule>\n<week>6</week>\n<topic>painting</topic>\n</schedule>\n<schedule>\n<week>7</week>\n<topic>size</topic>\n</schedule>\n<schedule>\n<week>8</week>\n<topic>off</topic>\n</schedule>\n<schedule>\n<week>9</week>\n<topic>point</topic>\n</schedule>\n<schedule>\n<week>10</week>\n<topic>light</topic>\n</schedule>\n<schedule>\n<week>11</week>\n<topic>nothing</topic>\n</schedule>\n<instructor>Matthew Johnson</instructor>\n</course_syllabus>"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"txn_id\": \"TXN-60159725\",\n  \"customer_id\": \"13707a49-23b0-4133-8216-7e83986c9575\",\n  \"timestamp\": \"2026-01-07T13:51:27.689251\",\n  \"items\": [\n    {\n      \"sku\": \"SKU-82899\",\n      \"qty\": 5,\n      \"price\": 298.29\n    },\n    {\n      \"sku\": \"SKU-51515\",\n      \"qty\": 4,\n      \"price\": 343.78\n    },\n    {\n      \"sku\": \"SKU-53336\",\n      \"qty\": 3,\n      \"price\": 488.21\n    },\n    {\n      \"sku\": \"SKU-52517\",\n      \"qty\": 2,\n      \"price\": 291.79\n    }\n  ],\n  \"subtotal\": 1914.1,\n  \"tax\": 175.88,\n  \"total\": 1360.6,\n  \"payment_method\": \"credit_card\"\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert transaction record from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<transaction_record>\n<txn_id>TXN-60159725</txn_id>\n<customer_id>13707a49-23b0-4133-8216-7e83986c9575</customer_id>\n<timestamp>2026-01-07T13:51:27.689251</timestamp>\n<items>\n<sku>SKU-82899</sku>\n<qty>5</qty>\n<price>298.29</price>\n</items>\n<items>\n<sku>SKU-51515</sku>\n<qty>4</qty>\n<price>343.78</price>\n</items>\n<items>\n<sku>SKU-53336</sku>\n<qty>3</qty>\n<price>488.21</price>\n</items>\n<items>\n<sku>SKU-52517</sku>\n<qty>2</qty>\n<price>291.79</price>\n</items>\n<subtotal>1914.1</subtotal>\n<tax>175.88</tax>\n<total>1360.6</total>\n<payment_method>credit_card</payment_method>\n</transaction_record>"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Generate api specification data in YAML format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Universal incremental parallelism API\n  version: 1.0.0\npaths:\n  /try:\n    get:\n      summary: Contain American rule support.\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Create a CSV representation of customer review."}, {"role": "assistant", "content": "Approach:\n1. Task: Create customer review in CSV\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,date,helpful_votes,product_id,rating,review_id,title,user_id,verified_purchase\r\nCheck just listen account choose down. It walk national stock protect hot. Study consumer professor ,2026-01-04,,,,REV-8799840,Drop rest for lay help.,,True\r\nRight against fall financial establish interview energy. Plan television help last here. Relate resu,2026-01-01,88,PROD-182798,5,REV-1712984,No how white room.,5624d70a-9f02-4ed9-b9a0-a1b15de50f2d,True\r\nDown treatment difference pattern us four. Owner tree above would. Cause customer world soldier inde,2026-01-05,33,PROD-677284,4,REV-5041538,Poor offer offer they beyond.,0edb2538-4585-4b0b-82bf-5bb8bf05ca97,False\r\n\"Through tonight Democrat church college upon realize also. Act building day body far from agree.\nTen\",2026-01-02,78,PROD-434906,3,REV-4521259,Teacher democratic difficult reflect cell business,242b9181-1876-47ce-ba24-dca3dbb19ec1,False\r\nFinish successful yet five actually energy. In expert available require race inside total. According,2026-01-05,21,PROD-152636,2,REV-5276322,Bag effect economy offer little across read.,66546f41-eaa5-49f4-857c-8725aa8401b9,False\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output social media post as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncontent,engagement_comments,engagement_likes,engagement_shares,hashtags,platform,post_id,timestamp,user_id,username\r\n\"Stand leave decade year collection. Republican point edge yet business.\nSuffer accept central agains\",51,4745,251,\"[\"\"#community\"\", \"\"#whatever\"\"]\",twitter,POST-23186111,2026-01-07T13:51:25.750515,85951ac5-a9b8-4154-8edc-693bcde245cf,srodriguez\r\nNation doctor partner attorney personal. Ago choose wind everybody. Positive part tough painting rul,322,3024,112,\"[\"\"#together\"\", \"\"#law\"\", \"\"#too\"\", \"\"#attention\"\"]\",twitter,POST-47352168,2026-01-07T13:51:25.751859,c9da8642-774f-47f7-940e-6e718777b3a6,bryanmejia\r\n\"Society blood dream rock. Three help clear if money. Inside finally college ok price.\nEconomy rise p\",309,6818,197,\"[\"\"#hair\"\", \"\"#of\"\", \"\"#she\"\"]\",twitter,POST-11241327,2026-01-07T13:51:25.752212,ba5f66f2-1c02-4898-b237-fb7ea09d31d7,ahamilton\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Produce a CSV document for a student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-379547,,CRS-1180,,2026-01-02,A,,,,,79.66,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 0, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 2, \"\"po\",STU-377615,,,98,exam\r\n,XOA173,CRS-7494,3,,,40,30,30,Lisa Vazquez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"either\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"oil\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"quite\"\"}, {\"\"week\"\"\",,,Spring 2023,Virtual methodical leverage 101,,\r\n,QFE306,CRS-8877,3,,,40,30,30,Monica Day,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"early\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"tax\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"why\"\"}, {\"\"week\"\": 4\",,,Spring 2022,Fundamental system-worthy Local Area Network 101,,\r\n,BUA365,CRS-2321,4,,,40,30,30,Ronald Martinez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"without\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"should\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"team\"\"}, {\"\"we\",,,Spring 2020,Total methodical Graphical User Interface 101,,\r\n,BBO348,CRS-3639,4,,,40,30,30,Joshua Miller,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"then\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"against\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"perhaps\"\"}, {\"\"w\",,,Spring 2021,Synchronized analyzing artificial intelligence 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON."}, {"role": "user", "content": "Convert the following CSV to JSON:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nNOO384,CRS-7514,4,40,30,30,Lori Martinez,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"bar\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"population\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"thus\"\"}, {\"\"we\",Fall 2024,Fundamental encompassing database 101\r\nBPH239,CRS-3376,3,40,30,30,James Cross,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"of\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"wear\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"push\"\"}, {\"\"week\"\": 4,\",Fall 2024,Focused reciprocal methodology 101\r\nWXD364,CRS-1003,3,40,30,30,Laura Atkinson,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"that\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"personal\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"road\"\"}, {\"\"wee\",Fall 2024,Multi-lateral holistic protocol 101\r\nOWI460,CRS-8162,3,40,30,30,Jeremy Navarro,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"field\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"throughout\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"line\"\"}, {\"\"\",Fall 2023,Monitored leadingedge synergy 101\r\nVBS127,CRS-4685,4,40,30,30,Charles Smith,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"public\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"fight\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"main\"\"}, {\"\"week\",Spring 2023,Optimized encompassing groupware 101\r\n"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert course syllabus from CSV to JSON\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: proper braces/brackets, quoted keys, correct value types\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n{\n  \"course_id\": \"CRS-7514\",\n  \"code\": \"NOO384\",\n  \"title\": \"Fundamental encompassing database 101\",\n  \"instructor\": \"Lori Martinez\",\n  \"credits\": 4,\n  \"term\": \"Fall 2024\",\n  \"schedule\": [\n    {\n      \"week\": 1,\n      \"topic\": \"bar\"\n    },\n    {\n      \"week\": 2,\n      \"topic\": \"population\"\n    },\n    {\n      \"week\": 3,\n      \"topic\": \"thus\"\n    },\n    {\n      \"week\": 4,\n      \"topic\": \"manage\"\n    },\n    {\n      \"week\": 5,\n      \"topic\": \"purpose\"\n    },\n    {\n      \"week\": 6,\n      \"topic\": \"look\"\n    },\n    {\n      \"week\": 7,\n      \"topic\": \"nothing\"\n    },\n    {\n      \"week\": 8,\n      \"topic\": \"remember\"\n    },\n    {\n      \"week\": 9,\n      \"topic\": \"song\"\n    },\n    {\n      \"week\": 10,\n      \"topic\": \"ahead\"\n    },\n    {\n      \"week\": 11,\n      \"topic\": \"pass\"\n    }\n  ],\n  \"grading\": {\n    \"homework\": 30,\n    \"midterm\": 30,\n    \"final\": 40\n  }\n}"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Output api specification as YAML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create api specification in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nopenapi: 3.0.0\ninfo:\n  title: Compatible disintermediate groupware API\n  version: 1.0.0\npaths:\n  /season:\n    get:\n      summary: Control religious less finish financial against of\n      parameters:\n      - name: param0\n        in: query\n        type: string\n      - name: param1\n        in: query\n        type: string\n      - name: param2\n        in: query\n        type: string\n      responses:\n        '200':\n          description: Success\n        '400':\n          description: Bad Request\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Generate student assessment data in CSV format."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,schedule,scores,student_id,term,title,total_score,type\r\nASMT-996269,,CRS-8988,,2026-01-03,B,,,,,94.86,,\"[{\"\"question\"\": 1, \"\"points_earned\"\": 8, \"\"points_possible\"\": 10}, {\"\"question\"\": 2, \"\"points_earned\"\": 0, \"\"po\",STU-878254,,,71,exam\r\n,FAL106,CRS-4973,4,,,40,30,30,Sharon Martinez,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"provide\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"social\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"learn\"\"}, {\"\"w\",,,Fall 2020,Multi-layered zero-defect time-frame 101,,\r\n,CTQ267,CRS-3901,3,,,40,30,30,Michael Armstrong,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"town\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"our\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"specific\"\"}, {\"\"week\",,,Spring 2022,Visionary 24hour middleware 101,,\r\n,LMS488,CRS-1880,4,,,40,30,30,Nicholas Fox,,\"[{\"\"week\"\": 1, \"\"topic\"\": \"\"as\"\"}, {\"\"week\"\": 2, \"\"topic\"\": \"\"operation\"\"}, {\"\"week\"\": 3, \"\"topic\"\": \"\"loss\"\"}, {\"\"week\",,,Fall 2020,Configurable multimedia frame 101,,\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML."}, {"role": "user", "content": "Create a YAML representation of student assessment."}, {"role": "assistant", "content": "Approach:\n1. Task: Create student assessment in YAML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: consistent indentation, colon-space syntax, hyphen lists\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nassessment_id: ASMT-503362\nstudent_id: STU-235214\ncourse_id: CRS-9952\ntype: assignment\ndate: '2026-01-01'\nscores:\n- question: 1\n  points_earned: 1\n  points_possible: 10\n- question: 2\n  points_earned: 0\n  points_possible: 10\n- question: 3\n  points_earned: 0\n  points_possible: 10\n- question: 4\n  points_earned: 4\n  points_possible: 10\n- question: 5\n  points_earned: 1\n  points_possible: 10\n- question: 6\n  points_earned: 6\n  points_possible: 10\n- question: 7\n  points_earned: 8\n  points_possible: 10\n- question: 8\n  points_earned: 5\n  points_possible: 10\n- question: 9\n  points_earned: 4\n  points_possible: 10\n- question: 10\n  points_earned: 0\n  points_possible: 10\n- question: 11\n  points_earned: 1\n  points_possible: 10\n- question: 12\n  points_earned: 8\n  points_possible: 10\ntotal_score: 52\npercentage: 94.35\ngrade: C\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Transform this JSON data into XML format:\n{\n  \"note_id\": \"CN-3409162\",\n  \"patient\": {\n    \"mrn\": \"MRN-721241\",\n    \"age\": 35,\n    \"gender\": \"F\"\n  },\n  \"encounter_date\": \"2026-01-05\",\n  \"chief_complaint\": \"fever\",\n  \"vitals\": {\n    \"bp\": \"173/107\",\n    \"hr\": 61,\n    \"temp_f\": 99.6\n  },\n  \"assessment\": [\n    {\n      \"problem\": \"diabetes\",\n      \"icd10\": \"J46\"\n    }\n  ]\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert clinical note from JSON to XML\n2. Complexity: medium - 5-8 fields, 2-3 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<clinical_note>\n<note_id>CN-3409162</note_id>\n<patient>\n<mrn>MRN-721241</mrn>\n<age>35</age>\n<gender>F</gender>\n</patient>\n<encounter_date>2026-01-05</encounter_date>\n<chief_complaint>fever</chief_complaint>\n<vitals>\n<bp>173/107</bp>\n<hr>61</hr>\n<temp_f>99.6</temp_f>\n</vitals>\n<assessment>\n<problem>diabetes</problem>\n<icd10>J46</icd10>\n</assessment>\n</clinical_note>"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Output social media post as TOML."}, {"role": "assistant", "content": "Approach:\n1. Task: Create social media post in TOML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\npost_id = \"POST-90196326\"\nplatform = \"facebook\"\nuser_id = \"146c178d-e548-4357-8cd4-e8464cea2f9b\"\nusername = \"kevincunningham\"\ncontent = \"Three would identify method across operation opportunity.\\nWhat realize number. Country perform simple team player. Improve order east mother news magazine trade.\\nCentral thus simple thousand morning.\"\ntimestamp = \"2026-01-07T13:51:26.698310\"\nhashtags = [ \"#pay\", \"#keep\",]\n\n[engagement]\nlikes = 458\nshares = 383\ncomments = 63\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML."}, {"role": "user", "content": "Create a TOML representation of sales analytics."}, {"role": "assistant", "content": "Approach:\n1. Task: Create sales analytics in TOML\n2. Complexity: simple - 3-5 fields, minimal nesting\n3. Format rules: key=value syntax, [sections], proper types\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\nperiod = \"July 2022\"\nunits_sold = 19950\n[[channels]]\nname = \"retail\"\nrevenue = 3561071\ngrowth = 29.92\n\n[[channels]]\nname = \"online\"\nrevenue = 3489091\ngrowth = -3.93\n\n[[top_products]]\nsku = \"SKU-6858\"\nsales = 210578\n\n[[top_products]]\nsku = \"SKU-3028\"\nsales = 144804\n\n[[top_products]]\nsku = \"SKU-1680\"\nsales = 120879\n\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV."}, {"role": "user", "content": "Output financial report as CSV."}, {"role": "assistant", "content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: header row, comma-separated, quoted fields with commas\n4. Structure: Organize data logically with appropriate nesting\n5. Populate fields with realistic example data based on the schema.\n\nOutput:\ncompany,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker\r\nChase Inc,2.89,53345818,14.17,20.21,19025113,Q2 2022,45899042,WCYG\r\nKane Group,6.77,37208791,11.25,24.01,17358420,Q3 2023,63192690,DKMT\r\n\"Bush, Taylor and Green\",6.68,64920848,24.21,7.97,2222053,Q4 2023,15392959,IZZC\r\nEllis-Brown,5.76,10641973,10.76,8.12,17787150,Q4 2023,24320059,EAZY\r\nKennedy-Herrera,8.61,74209607,17.03,21.17,1280174,Q3 2022,39181628,MUZE\r\n"}]}
{"messages": [{"role": "system", "content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML."}, {"role": "user", "content": "Convert the following JSON to XML:\n{\n  \"company\": \"Martinez, Patterson and Hunter\",\n  \"ticker\": \"PPOB\",\n  \"quarter\": \"Q1 2023\",\n  \"revenue\": 66694743,\n  \"expenses\": 21448775,\n  \"net_income\": 421192,\n  \"eps\": 2.32,\n  \"metrics\": {\n    \"profit_margin\": 7.89,\n    \"roe\": 9.32\n  }\n}"}, {"role": "assistant", "content": "Approach:\n1. Task: Convert financial report from JSON to XML\n2. Complexity: complex - 8-10 fields, 3-4 levels\n3. Format rules: well-formed tags, proper nesting, escaped special chars\n4. Structure: Organize data logically with appropriate nesting\n5. Transform values to match the target format specifications.\n\nOutput:\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<financial_report>\n<company>Martinez, Patterson and Hunter</company>\n<ticker>PPOB</ticker>\n<quarter>Q1 2023</quarter>\n<revenue>66694743</revenue>\n<expenses>21448775</expenses>\n<net_income>421192</net_income>\n<eps>2.32</eps>\n<metrics>\n<profit_margin>7.89</profit_margin>\n<roe>9.32</roe>\n</metrics>\n</financial_report>"}]}