messages listlengths 3 3 | metadata dict | _output_text stringlengths 26 3.45k |
|---|---|---|
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Convert the following CSV to JSON:\ntimestamp,level,message\r\n2026-01-22T04:03:06.821685,ERROR,Follow perform image fight end drop.\r\n",
"role... | {
"complexity": "medium",
"estimated_tokens": 174,
"format": "json",
"schema": "error_log",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3099,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | {
"timestamp": "2026-01-22T04:03:06.821685",
"level": "ERROR",
"message": "Follow perform image fight end drop."
} |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Transform this data from CSV to JSON:\ncontract,parties,signed\r\noptimize intuitive communities,\"[\"\"Hess, Wright and Rogers\"\", \"\"Tran-Rodrig... | {
"complexity": "medium",
"estimated_tokens": 179,
"format": "json",
"schema": "contract",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 711,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | {
"contract": "optimize intuitive communities",
"parties": [
"Hess, Wright and Rogers",
"Tran-Rodriguez"
],
"signed": false
} |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into JSON.\nReturn ONLY JSON.\n\nCSV:\nalphaLumen,alpha_delta,alpha_nova,atlasAurora,aurora_alpha,aurora_beta,betaAtlas,beta_nova,components,delta_velox,dimensions,ember_omega,eonAtlas,eonEon,eon_lumen,flags,gammaAtlas,lume... | {
"complexity": "",
"estimated_tokens": 0,
"format": "json",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 4573,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | {"items": [{"veloxAtlas": true, "velox_ember": 8571.09, "eon_lumen": "beta", "novaBeta": "Eon", "gammaAtlas": 6904.28, "alpha_delta": "Nova", "betaAtlas": 345.11, "alpha_nova": true, "veloxAlpha": 3815, "dimensions": {"height_cm": 55.8, "width_cm": 121.4, "depth_cm": 22.9}, "flags": {"featured": true, "archived": true}... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into JSON.\nReturn ONLY JSON.\n\nCSV:\nalphaAtlas,aurora_aurora,components,deltaLumen,delta_nova,dimensions,emberAurora,ember_delta,ember_terra,eon_eon,flags,gammaVelox,gamma_alpha,gamma_delta,gamma_eon,lumenBeta,lumenNova,... | {
"complexity": "",
"estimated_tokens": 0,
"format": "json",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 1764,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | {"items": [{"ember_delta": "delta", "gamma_delta": true, "omega_terra": "", "ember_terra": 2845, "gamma_eon": 1849, "delta_nova": false, "gammaVelox": 4064, "dimensions": {"height_cm": 160.0, "width_cm": 204.9, "depth_cm": 25.0}, "tags": ["eon", "ember", "gamma"], "meta": [{"key": "origin", "value": "Nova"}, {"key": "y... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into JSON.\nReturn ONLY JSON.\n\nCSV:\nalphaAlpha,alphaAtlas,atlasEmber,atlasTerra,atlas_beta,atlas_nova,auroraEmber,auroraLumen,aurora_eon,betaAtlas,betaBeta,betaVelox,components,deltaLumen,deltaTerra,deltaZephyr,dimension... | {
"complexity": "",
"estimated_tokens": 0,
"format": "json",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 2527,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | {"items": [{"betaAtlas": 3846, "lumenAlpha": "beta", "lumen_eon": true, "emberGamma": 6807, "velox_eon": "atlas", "auroraEmber": "delta", "ember_lumen": false, "deltaTerra": 7950.34, "dimensions": {"height_cm": 185.5, "width_cm": 284.7, "depth_cm": 41.5}, "flags": {"featured": true, "archived": true}, "tags": ["beta", ... |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Transform this CSV data into JSON format:\ncode,course_id,credits,grading_final,grading_homework,grading_midterm,instructor,schedule,term,title\r\nOPX182,... | {
"complexity": "medium",
"estimated_tokens": 298,
"format": "json",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 2070,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | {
"course_id": "CRS-4915",
"code": "OPX182",
"title": "Customer-focused empowering orchestration 101",
"instructor": "Patricia Thomas",
"credits": 3,
"term": "Fall 2020",
"schedule": [
{
"week": 1,
"topic": "interview"
},
{
"week": 2,
"topic": "threat"
},
{
... |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"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,vi... | {
"complexity": "medium",
"estimated_tokens": 177,
"format": "json",
"schema": "clinical_note",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 2818,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | {
"note_id": "CN-3176262",
"patient": {
"mrn": "MRN-872635",
"age": 61,
"gender": "F"
},
"encounter_date": "2026-01-05",
"chief_complaint": "chest pain",
"vitals": {
"bp": "142/65",
"hr": 118,
"temp_f": 97.7
},
"assessment": [
{
"problem": "diabetes",
"icd10": "I5... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into JSON.\nReturn ONLY JSON.\n\nCSV:\nalphaOmega,alphaVelox,atlasAurora,atlas_nova,betaEon,beta_eon,components,dimensions,emberEmber,emberLumen,ember_atlas,ember_aurora,ember_omega,eon_beta,eon_lumen,flags,gamma_beta,lumen... | {
"complexity": "",
"estimated_tokens": 0,
"format": "json",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 4110,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | {"items": [{"omegaAurora": "", "terra_lumen": 8481, "nova_beta": "Beta", "eon_beta": 6535, "terra_nova": 9127, "terraVelox": "ember", "dimensions": {"height_cm": 296.6, "width_cm": 169.5, "depth_cm": 68.3}, "flags": {"featured": true, "archived": false}, "tags": ["aurora", "lumen"]}, {"terra_lumen": "", "beta_eon": fal... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into JSON.\nReturn ONLY JSON.\n\nCSV:\nalphaGamma,alpha_lumen,atlasAtlas,atlasLumen,atlas_terra,betaBeta,beta_atlas,beta_nova,components,deltaDelta,deltaEmber,deltaGamma,delta_velox,dimensions,emberAtlas,emberEmber,emberZep... | {
"complexity": "",
"estimated_tokens": 0,
"format": "json",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 643,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | {"items": [{"zephyr_eon": true, "gammaBeta": "ember", "zephyr_alpha": false, "delta_velox": 8411.73, "terraLumen": 5798.38, "gamma_lumen": "alpha", "emberAtlas": 9880, "eon_aurora": true, "dimensions": {"height_cm": 249.3, "width_cm": 284.0, "depth_cm": 67.5}, "tags": ["eon", "aurora"], "notes": "Atlas"}, {"zephyrOmega... |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Convert the following CSV to JSON:\nexperiment_id,title,metrics.accuracy,metrics.loss,metrics.epoch,config.batch_size,config.optimizer,config.lr,met... | {
"complexity": "complex",
"estimated_tokens": 284,
"format": "json",
"schema": "experiment_result",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 2593,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | {
"experiment_id": "EXP-547570",
"title": "Analysis of war",
"metrics": {
"accuracy": 0.8235,
"loss": 0.1439,
"epoch": 18
},
"config": {
"batch_size": 128,
"optimizer": "adam",
"lr": 0.001
},
"meta_info": {
"generated_at": "2026-01-23T05:23:23.504265",
"version": "v1.0",
... |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following CSV to TOML:\nrandom_content\r\n\"[\"\"television\"\"]\"\r\n",
"role": "user"
},
{
"content": "Approach:\n1. Analy... | {
"complexity": "simple",
"estimated_tokens": 147,
"format": "toml",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 4043,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | random_content = [ "television",] |
[
{
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following CSV to TOML:\ncontract_id,effective_date,parties,status,term_months,value\r\nCTR-784600,2026-01-06,\"[{\"\"name\"\": \"\"Snyder-Thor... | {
"complexity": "medium",
"estimated_tokens": 127,
"format": "toml",
"schema": "contract",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 1092,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | contract_id = "CTR-784600"
effective_date = "2026-01-06"
term_months = 16
value = 53888
status = "active"
[[parties]]
name = "Snyder-Thornton"
role = "party_a"
[[parties]]
name = "Oliver Group"
role = "party_b" |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from CSV to TOML:\ncourse,weeks,credits\r\nCompatible executive knowledgebase,11,3\r\n",
"role": "user"
},
{
"conten... | {
"complexity": "simple",
"estimated_tokens": 158,
"format": "toml",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 354,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | course = "Compatible executive knowledgebase"
weeks = 11
credits = 3 |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from CSV to TOML:\nuser,rating,comment,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nybrown,1,Political w... | {
"complexity": "complex",
"estimated_tokens": 238,
"format": "toml",
"schema": "customer_review",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 1892,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | user = "ybrown"
rating = 1
comment = "Political water capital skin behind."
[[audit_log]]
action = "created"
by = "rodney28"
timestamp = "1979-05-25T18:38:37.273960"
[[audit_log]]
action = "created"
by = "destiny21"
timestamp = "2006-06-02T16:47:23.651747"
[meta_info]
generated_at = "2026-01-23T05:23:24.853397"
versi... |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\ntimestamp,level,message\r\n2026-01-23T05:23:25.159701,ERROR,Simple try north nothing.\r\n",
"role": "user"
... | {
"complexity": "medium",
"estimated_tokens": 165,
"format": "toml",
"schema": "error_log",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 645,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | timestamp = "2026-01-23T05:23:25.159701"
level = "ERROR"
message = "Simple try north nothing." |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from CSV to TOML:\ntxn,amount,status,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\n936c8400-4abe-4ded-bee... | {
"complexity": "complex",
"estimated_tokens": 243,
"format": "toml",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 1063,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | txn = "936c8400-4abe-4ded-bee7-403d9e2b9068"
amount = 175.59
status = "completed"
[[audit_log]]
action = "created"
by = "wfrederick"
timestamp = "1970-10-11T08:11:02.374029"
[[audit_log]]
action = "created"
by = "mcneilheather"
timestamp = "1983-06-15T05:57:11.708794"
[meta_info]
generated_at = "2026-01-22T04:03:05.8... |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following CSV to TOML:\nperiod,sales,region,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nQ1,3724,South Tammyberg... | {
"complexity": "complex",
"estimated_tokens": 255,
"format": "toml",
"schema": "sales_analytics",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3287,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | period = "Q1"
sales = 3724
region = "South Tammyberg"
[[audit_log]]
action = "created"
by = "lpage"
timestamp = "1993-04-22T23:36:38.506846"
[[audit_log]]
action = "created"
by = "william88"
timestamp = "2014-11-17T06:15:43.349252"
[[audit_log]]
action = "created"
by = "aaron24"
timestamp = "2011-06-13T20:55:26.03657... |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\nproduct,price,stock\r\ntake,21.21,9\r\n",
"role": "user"
},
{
"content": "Approach:\n1. Analyze the i... | {
"complexity": "medium",
"estimated_tokens": 151,
"format": "toml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2469,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | product = "take"
price = 21.21
stock = 9 |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\nuser,rating,comment,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nnichole49,3,Phone phone ... | {
"complexity": "complex",
"estimated_tokens": 267,
"format": "toml",
"schema": "customer_review",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 4491,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | user = "nichole49"
rating = 3
comment = "Phone phone series machine page race traditional."
[[audit_log]]
action = "created"
by = "jessica07"
timestamp = "2017-07-05T03:45:59.622835"
[[audit_log]]
action = "created"
by = "justinanderson"
timestamp = "2011-07-01T21:39:10.009112"
[[audit_log]]
action = "created"
by = "... |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the CSV below into TOML:\nuser,rating,comment,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nlori80,4,Direction sign ... | {
"complexity": "complex",
"estimated_tokens": 242,
"format": "toml",
"schema": "customer_review",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 1382,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | user = "lori80"
rating = 4
comment = "Direction sign week represent thing friend art."
[[audit_log]]
action = "created"
by = "fpowell"
timestamp = "2024-12-06T01:40:04.096854"
[[audit_log]]
action = "created"
by = "kimberly73"
timestamp = "1986-01-28T21:51:25.896323"
[meta_info]
generated_at = "2026-01-22T04:03:05.00... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\natlasNova,atlasZephyr,atlas_nova,aurora_atlas,aurora_beta,aurora_omega,components,deltaEmber,deltaGamma,delta_zephyr,dimensions,ember_ember,ember_eon,eonDelta,eon_beta,eon_zephyr,flags,g... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 3290,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <items><items><nova_terra>gamma</nova_terra><velox_ember>3628.04</velox_ember><eonDelta>6947</eonDelta><deltaEmber>7772</deltaEmber><lumen_beta>terra</lumen_beta><ember_eon>false</ember_eon><ember_ember>false</ember_ember><novaZephyr>645.65</novaZephyr><velox_omega>false</velox_omega><dimensions><height_cm>232.1</heigh... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalphaNova,auroraGamma,auroraZephyr,betaAurora,betaEon,betaTerra,components,deltaAurora,deltaGamma,delta_eon,dimensions,ember_atlas,ember_terra,eonAurora,eon_nova,flags,gamma_ember,gamma_... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 2656,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <items><items><alphaNova>true</alphaNova><deltaAurora>8603</deltaAurora><terraEon>6957</terraEon><velox_terra>735</velox_terra><eon_nova>8270.82</eon_nova><veloxBeta>2606</veloxBeta><ember_atlas>Delta</ember_atlas><dimensions><height_cm>76.2</height_cm><width_cm>270.0</width_cm><depth_cm>5.6</depth_cm></dimensions><fla... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalpha_delta,alpha_gamma,atlasVelox,aurora_ember,betaEmber,betaTerra,betaZephyr,components,dimensions,emberDelta,ember_delta,eonAtlas,eonAurora,eon_delta,eon_omega,flags,meta,notes,tags,t... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 2631,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | <items><items><betaZephyr>true</betaZephyr><alpha_gamma>terra</alpha_gamma><eonAurora>2959</eonAurora><emberDelta>true</emberDelta><ember_delta>5087.55</ember_delta><dimensions><height_cm>111.6</height_cm><width_cm>272.4</width_cm><depth_cm>41.0</depth_cm></dimensions><flags><featured>true</featured><archived>true</arc... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalphaAurora,alpha_beta,alpha_nova,auroraDelta,auroraNova,auroraOmega,aurora_nova,betaEon,betaZephyr,components,deltaGamma,dimensions,emberTerra,ember_alpha,ember_gamma,eonEon,eon_terra,f... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 2035,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <items><items><ember_gamma>Beta</ember_gamma><gammaDelta>2760</gammaDelta><eon_terra>6428.85</eon_terra><gammaAlpha>Atlas</gammaAlpha><gamma_ember>3565.22</gamma_ember><auroraOmega>4238</auroraOmega><novaZephyr>false</novaZephyr><lumen_ember>7825</lumen_ember><dimensions><height_cm>281.0</height_cm><width_cm>51.0</widt... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalphaBeta,alpha_velox,atlasAurora,atlasVelox,atlas_gamma,atlas_velox,auroraDelta,beta_gamma,components,dimensions,emberOmega,ember_nova,eonBeta,eonLumen,eon_beta,flags,gammaAlpha,gammaGa... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 684,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <items><items><omega_omega>Atlas</omega_omega><omega_alpha>terra</omega_alpha><atlas_gamma>velox</atlas_gamma><emberOmega>3591.24</emberOmega><eon_beta>false</eon_beta><ember_nova>Ember</ember_nova><atlasAurora>5315.57</atlasAurora><terra_atlas>Alpha</terra_atlas><dimensions><height_cm>180.6</height_cm><width_cm>14.5</... |
[
{
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML.",
"role": "system"
},
{
"content": "Reformat the data below from CSV to XML:\ncategory,content,currency,date,helpful_votes,is_available,name,price,product_id,rating,review_id,reviews,specs_dim... | {
"complexity": "complex",
"estimated_tokens": 210,
"format": "xml",
"schema": "customer_review",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 162,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | <?xml version="1.0" encoding="UTF-8"?>
<customer_review>
<review_id>REV-2691236</review_id>
<product_id>PROD-245093</product_id>
<user_id>98b0ec97-f0e6-4eda-907b-c1488d5de2f5</user_id>
<rating>1</rating>
<title>Now new sell exist just.</title>
<content>Issue suddenly such maybe. Military they second staff end agreement... |
[
{
"content": "You are an expert in XML format. Analyze the data structure and generate syntactically perfect XML.",
"role": "system"
},
{
"content": "Convert the following CSV to XML:\ntxn,amount,status\r\nfd5e327c-39b2-4d9b-a420-42abeb116de5,259.91,completed\r\n",
"role": "user"
},
{
"c... | {
"complexity": "simple",
"estimated_tokens": 188,
"format": "xml",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 2144,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | <?xml version="1.0" encoding="UTF-8"?>
<transaction_record>
<txn>fd5e327c-39b2-4d9b-a420-42abeb116de5</txn>
<amount>259.91</amount>
<status>completed</status>
</transaction_record> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalphaZephyr,alpha_aurora,alpha_eon,alpha_terra,atlasAlpha,atlasAurora,auroraAlpha,auroraBeta,aurora_atlas,aurora_beta,betaLumen,beta_beta,beta_terra,beta_zephyr,components,deltaTerra,dim... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 79,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | <items><items><ember_ember>false</ember_ember><zephyr_ember>8848.23</zephyr_ember><alpha_aurora>3900</alpha_aurora><atlasAurora /><beta_terra>false</beta_terra><beta_zephyr /><ember_terra>aurora</ember_terra><veloxGamma>Eon</veloxGamma><dimensions><height_cm>143.8</height_cm><width_cm>256.4</width_cm><depth_cm>2.6</dep... |
[
{
"content": "You are an expert in XML format. Analyze the data structure and generate syntactically perfect XML.",
"role": "system"
},
{
"content": "Reformat the CSV below into XML:\nexperiment_id,title,metrics.accuracy,metrics.loss,metrics.epoch,config.batch_size,config.optimizer,config.lr\r\nEXP-... | {
"complexity": "simple",
"estimated_tokens": 229,
"format": "xml",
"schema": "experiment_result",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3966,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | <?xml version="1.0" encoding="UTF-8"?>
<experiment_result>
<experiment_id>EXP-871872</experiment_id>
<title>Analysis of list</title>
<metrics>
<accuracy>0.8202</accuracy>
<loss>0.2852</loss>
<epoch>77</epoch>
</metrics>
<config>
<batch_size>64</batch_size>
<optimizer>sgd</optimizer>
<lr>0.001</lr>
</config>
</experimen... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into XML.\nReturn ONLY XML.\n\nCSV:\nalphaAlpha,alphaNova,alpha_gamma,alpha_omega,atlas_beta,atlas_ember,atlas_zephyr,auroraEon,aurora_alpha,aurora_atlas,betaDelta,betaEon,betaLumen,components,deltaOmega,deltaTerra,delta_de... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 1868,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | <items><items><atlas_zephyr>false</atlas_zephyr><betaLumen>true</betaLumen><velox_nova>3201.58</velox_nova><ember_alpha>false</ember_alpha><aurora_atlas>velox</aurora_atlas><terra_velox>velox</terra_velox><omegaAlpha>6634.0</omegaAlpha><atlas_beta /><dimensions><height_cm>203.5</height_cm><width_cm>242.7</width_cm><dep... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into YAML.\nConstraints:\n- Use 2-space indentation (no tabs). For sequences, start items with '- ' and indent child keys under the item by 2 more spaces.\nReturn ONLY YAML.\n\nCSV:\nalpha_aurora,atlas_ember,auroraOmega,bet... | {
"complexity": "",
"estimated_tokens": 0,
"format": "yaml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 3505,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | items:
- betaVelox: false
gamma_atlas: Alpha
veloxDelta: ''
atlas_ember: aurora
lumen_aurora: 7800.65
zephyrVelox: 193
zephyr_delta: 1053
veloxLumen: false
dimensions:
height_cm: 220.0
width_cm: 232.6
depth_cm: 31.7
tags:
- aurora
- atlas
- alpha
meta:
- key: origin
value: Al... |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following CSV to YAML:\nproduct,price,stock\r\nper,11.91,11\r\n",
"role": "user"
},
{
"content": "Approach:\n1. Analyze the ... | {
"complexity": "medium",
"estimated_tokens": 152,
"format": "yaml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2027,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | product: per
price: 11.91
stock: 11 |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into YAML.\nConstraints:\n- Use 2-space indentation (no tabs). For sequences, start items with '- ' and indent child keys under the item by 2 more spaces.\nReturn ONLY YAML.\n\nCSV:\nalphaOmega,alpha_ember,alpha_terra,atlas... | {
"complexity": "",
"estimated_tokens": 0,
"format": "yaml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 2313,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | items:
- delta_omega: false
atlas_omega: 7512.83
omegaEon: Delta
alphaOmega: atlas
betaAlpha: 7698
terraAlpha: false
deltaLumen: gamma
emberGamma: ''
dimensions:
height_cm: 121.2
width_cm: 266.4
depth_cm: 75.7
flags:
featured: false
archived: false
meta:
- key: origin
value... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into YAML.\nConstraints:\n- Use 2-space indentation (no tabs). For sequences, start items with '- ' and indent child keys under the item by 2 more spaces.\nReturn ONLY YAML.\n\nCSV:\nalpha_beta,atlasLumen,atlasTerra,atlas_e... | {
"complexity": "",
"estimated_tokens": 0,
"format": "yaml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 1259,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | items:
- emberLumen: true
omegaLumen: 2647
eon_nova: 6879.63
aurora_aurora: false
beta_delta: atlas
lumenGamma: eon
aurora_beta: false
dimensions:
height_cm: 162.5
width_cm: 48.0
depth_cm: 84.2
flags:
featured: false
archived: false
meta:
- key: origin
value: Delta
- key: y... |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Reformat the CSV below into YAML:\ntxn,amount,status\r\nba8535a3-b2c3-4f3f-91cb-80968767d87b,415.52,completed\r\n",
"role": "user"
},
{
... | {
"complexity": "medium",
"estimated_tokens": 161,
"format": "yaml",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2477,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | txn: ba8535a3-b2c3-4f3f-91cb-80968767d87b
amount: 415.52
status: completed |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following CSV to YAML:\nproduct,price,stock,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log\r\nnatural,17.08,24,2026-0... | {
"complexity": "complex",
"estimated_tokens": 247,
"format": "yaml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 914,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | product: natural
price: 17.08
stock: 24
meta_info:
generated_at: '2026-01-22T04:03:06.521445'
version: v4.0
tags:
- sense
- effect
- stock
- suggest
- order
audit_log:
- action: created
by: dpalmer
timestamp: '1999-08-30T22:23:01.982747'
- action: created
by: darlenemorris
timestamp: '2022-01-22... |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following CSV to YAML:\narticle_id,author,content,headline,published,section,shares,tags,views\r\nART-8172649,Rachel Clark,\"Pattern capital t... | {
"complexity": "medium",
"estimated_tokens": 178,
"format": "yaml",
"schema": "news_article",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 10,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | article_id: ART-8172649
headline: Triple-buffered responsive model
author: Rachel Clark
published: '2026-01-03T00:35:22.551008'
section: Business
content: 'Pattern capital time compare include night top. Large than important morning.
Card authority protect present return while middle. Development miss write five.'
t... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following csv into YAML.\nConstraints:\n- Use 2-space indentation (no tabs). For sequences, start items with '- ' and indent child keys under the item by 2 more spaces.\nReturn ONLY YAML.\n\nCSV:\nalphaDelta,alpha_aurora,atlasLumen,atlas... | {
"complexity": "",
"estimated_tokens": 0,
"format": "yaml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 1419,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | items:
- nova_delta: Zephyr
lumen_nova: Nova
atlasOmega: 8487.81
atlasLumen: 665.68
lumen_eon: terra
veloxTerra: ember
flags:
featured: true
archived: true
tags:
- alpha
- omega
meta:
- key: origin
value: Delta
- key: year
value: 1960
- omegaGamma: terra
betaAtlas: eon
terra_... |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Reformat the CSV below into YAML:\nproduct,price,stock\r\ncut,20.23,37\r\n",
"role": "user"
},
{
"content": "Approach:\n1. Analyze the i... | {
"complexity": "medium",
"estimated_tokens": 152,
"format": "yaml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3595,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | product: cut
price: 20.23
stock: 37 |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following CSV to YAML:\nassessment_id,code,course_id,credits,date,grade,grading_final,grading_homework,grading_midterm,instructor,percentage,s... | {
"complexity": "medium",
"estimated_tokens": 229,
"format": "yaml",
"schema": "student_assessment",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 337,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | assessment_id: ASMT-817642
student_id: STU-222420
course_id: CRS-8326
type: assignment
date: '2026-01-03'
scores:
- question: 1
points_earned: 9
points_possible: 10
- question: 2
points_earned: 10
points_possible: 10
- question: 3
points_earned: 0
points_possible: 10
- question: 4
points_earned: 2
point... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json into CSV.\nReturn ONLY CSV.\n\nJSON:\n{\"items\": [{\"velox_nova\": \"Eon\", \"gammaAtlas\": 8272, \"atlas_alpha\": \"\", \"veloxBeta\": \"lumen\", \"zephyr_terra\": 185.58, \"gammaBeta\": 309, \"aurora_alpha\": \"Velox\",... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 4752,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | alpha_gamma,alpha_nova,atlas_alpha,atlas_beta,auroraAtlas,aurora_alpha,beta_omega,deltaAtlas,deltaBeta,delta_gamma,dimensions,emberAlpha,emberOmega,eonAtlas,eon_aurora,flags,gammaAtlas,gammaBeta,gamma_eon,gamma_zephyr,lumenLumen,meta,notes,omegaTerra,omega_alpha,omega_beta,omega_delta,omega_eon,tags,terra_beta,terra_om... |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json into CSV.\nReturn ONLY CSV.\n\nJSON:\n{\"items\": [{\"alphaDelta\": \"Terra\", \"velox_eon\": \"Ember\", \"lumenEon\": \"Velox\", \"terraVelox\": 1246.7, \"eon_atlas\": true, \"ember_omega\": \"eon\", \"novaGamma\": \"zeph... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 780,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | alphaDelta,atlas_alpha,atlas_zephyr,aurora_alpha,aurora_beta,aurora_eon,aurora_velox,betaBeta,betaGamma,betaOmega,components,delta_velox,dimensions,emberAtlas,ember_atlas,ember_delta,ember_nova,ember_omega,eonBeta,eonEon,eon_atlas,flags,gammaAtlas,gammaAurora,lumenAlpha,lumenEon,lumenOmega,lumen_alpha,lumen_omega,meta,... |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Convert the following JSON to CSV:\n{\n \"headline\": \"Suggest firm majority story six.\",\n \"body\": \"Want modern method even about property ove... | {
"complexity": "medium",
"estimated_tokens": 210,
"format": "csv",
"schema": "news_article",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 935,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | headline,body,author
Suggest firm majority story six.,Want modern method even about property over. Either operation national lose protect way like. Prepare floor avoid film until easy. Serve source their management owner fact camera.,Michelle Serrano |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json into CSV.\nReturn ONLY CSV.\n\nJSON:\n{\"items\": [{\"lumen_ember\": \"Beta\", \"auroraNova\": 5043, \"omegaEon\": \"Zephyr\", \"aurora_alpha\": \"Eon\", \"delta_delta\": \"gamma\", \"gammaLumen\": 3752.8, \"eon_nova\": \"... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 4249,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | alpha_delta,alpha_zephyr,atlasGamma,atlas_omega,auroraNova,aurora_alpha,betaAtlas,beta_aurora,beta_nova,components,delta_atlas,delta_delta,dimensions,ember_atlas,ember_omega,eonTerra,eonVelox,eon_nova,flags,gammaGamma,gammaLumen,gamma_alpha,lumen_atlas,lumen_ember,meta,novaBeta,novaLumen,nova_beta,omegaEmber,omegaEon,o... |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Reformat the JSON below into CSV:\n{\n \"student\": \"Douglas Williams\",\n \"score\": 14,\n \"grade\": \"A\",\n \"meta_info\": {\n \"generated... | {
"complexity": "complex",
"estimated_tokens": 222,
"format": "csv",
"schema": "student_assessment",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3116,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | student,score,grade,meta_info.generated_at,meta_info.version,meta_info.tags,audit_log
Douglas Williams,14,A,2026-01-22T04:03:06.805832,v4.0,"[""page"", ""who"", ""account"", ""about"", ""six""]","[{""action"": ""created"", ""by"": ""marvingreen"", ""timestamp"": ""2008-05-19T15:44:35.509548""}]" |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json into CSV.\nReturn ONLY CSV.\n\nJSON:\n{\"items\": [{\"lumen_omega\": 9076.92, \"novaZephyr\": 1730, \"lumen_delta\": false, \"aurora_gamma\": \"terra\", \"terra_eon\": \"lumen\", \"novaBeta\": 2177, \"ember_alpha\": \"Alph... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 1516,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | atlasAtlas,auroraVelox,aurora_gamma,betaAurora,components,dimensions,emberAlpha,emberAurora,ember_alpha,flags,lumen_delta,lumen_omega,meta,novaBeta,novaZephyr,nova_velox,omegaAurora,omegaGamma,tags,terra_eon,terra_omega,zephyrAtlas,zephyrTerra
,,terra,,,"{""height_cm"": 65.5, ""width_cm"": 151.5, ""depth_cm"": 38.3}",... |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Transform this data from JSON to CSV:\n{\n \"random_content\": [\n \"under\",\n \"task\",\n [\n \"himself\",\n {\n \"run\":... | {
"complexity": "medium",
"estimated_tokens": 186,
"format": "csv",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 597,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | random_content
"[""under"", ""task"", [""himself"", {""run"": false, ""company_1"": true, ""project_2"": null, ""maybe_3"": ""claim"", ""language_4"": 0.47}]]" |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Convert the following JSON to CSV:\n{\n \"txn\": \"474ef443-efc8-4a71-b329-8bb97f691529\",\n \"amount\": 98.91,\n \"status\": \"completed\"\n}",
... | {
"complexity": "medium",
"estimated_tokens": 165,
"format": "csv",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 1023,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | txn,amount,status
474ef443-efc8-4a71-b329-8bb97f691529,98.91,completed |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json into CSV.\nReturn ONLY CSV.\n\nJSON:\n{\"items\": [{\"nova_gamma\": \"delta\", \"gammaEmber\": 2185.69, \"eonAtlas\": 8107.8, \"omegaNova\": 9343, \"lumenEmber\": 154.05, \"dimensions\": {\"height_cm\": 77.4, \"width_cm\":... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 1887,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | alpha_ember,atlasOmega,atlas_nova,betaLumen,components,delta_nova,delta_omega,dimensions,emberEon,eonAtlas,eon_ember,eon_eon,flags,gammaEmber,gammaGamma,gammaVelox,gamma_delta,gamma_gamma,lumenEmber,lumen_gamma,lumen_lumen,meta,notes,nova_gamma,nova_terra,omegaNova,omegaTerra,tags,terraDelta,veloxAtlas,velox_atlas,zeph... |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Convert the following JSON to CSV:\n{\n \"course\": \"Streamlined optimal standardization\",\n \"weeks\": 8,\n \"credits\": 3\n}",
"role": "use... | {
"complexity": "medium",
"estimated_tokens": 163,
"format": "csv",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 4563,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | course,weeks,credits
Streamlined optimal standardization,8,3 |
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