messages listlengths 3 3 | metadata dict | _output_text stringlengths 23 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}, "tags": ["beta", "zephyr"]}, {"atlasAurora": "omega", "terraLumen": 9136.0, "omega_omega": false, "lumenAtlas": "aurora", "terraVelox": 108, "ember_omega": 2072.51, "dimensions": {"height_cm": 107.7, "width_cm": 34.4, "depth_cm": 68.2}, "tags": ["alpha", "omega", "beta", "eon"], "meta": [{"key": "origin", "value": "Aurora"}, {"key": "year", "value": 1927}], "notes": "Aurora"}, {"aurora_beta": "Terra", "veloxBeta": 7026, "novaGamma": 8225.04, "omega_nova": "Ember", "novaBeta": "atlas", "delta_velox": 8266.92, "eonEon": "terra", "betaAtlas": true, "dimensions": {"height_cm": 287.7, "width_cm": 249.5, "depth_cm": 19.4}, "flags": {"featured": false, "archived": false}, "tags": ["aurora", "velox", "gamma"], "meta": [{"key": "origin", "value": "Aurora"}, {"key": "year", "value": 1919}], "components": [{"name": "Ember", "qty": 5}, {"name": "Zephyr", "qty": 3}], "notes": ""}, {"lumenAlpha": true, "alphaLumen": false, "omega_nova": "Velox", "omegaBeta": "Alpha", "aurora_alpha": 6010.27, "zephyr_gamma": 2420.73, "beta_nova": "delta", "eonAtlas": 73, "dimensions": {"height_cm": 43.0, "width_cm": 214.3, "depth_cm": 92.6}, "tags": ["zephyr", "lumen", "velox"], "meta": [{"key": "origin", "value": "Gamma"}, {"key": "year", "value": 2009}]}]} |
[
{
"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": "year", "value": 1975}]}, {"veloxEmber": 5636, "velox_ember": "gamma", "velox_gamma": "gamma", "zephyr_nova": 7519.63, "gamma_alpha": 1528.02, "zephyrTerra": false, "lumenBeta": 4241.6, "dimensions": {"height_cm": 63.2, "width_cm": 231.4, "depth_cm": 84.7}, "flags": {"featured": true, "archived": false}, "tags": ["terra", "delta", "terra"], "meta": [{"key": "origin", "value": "Velox"}, {"key": "year", "value": 1916}]}, {"omegaAlpha": false, "emberAurora": 7390.61, "alphaAtlas": "Beta", "zephyr_atlas": "zephyr", "aurora_aurora": true, "dimensions": {"height_cm": 49.0, "width_cm": 66.0, "depth_cm": 20.1}, "flags": {"featured": false, "archived": true}, "tags": ["zephyr", "omega", "eon"], "components": [{"name": "Zephyr", "qty": 4}, {"name": "Beta", "qty": 4}], "notes": "Gamma"}, {"eon_eon": "Alpha", "deltaLumen": "nova", "gamma_alpha": 687.41, "lumenZephyr": true, "flags": {"featured": true, "archived": true}, "tags": ["alpha", "ember", "omega"], "meta": [{"key": "origin", "value": "Velox"}, {"key": "year", "value": 1923}], "components": [{"name": "Aurora", "qty": 4}, {"name": "Gamma", "qty": 1}]}, {"lumenNova": 7861, "terraEon": 4107, "veloxAurora": true, "lumen_velox": false, "zephyrZephyr": 2782, "dimensions": {"height_cm": 278.7, "width_cm": 24.9, "depth_cm": 71.5}, "flags": {"featured": true, "archived": false}, "meta": [{"key": "origin", "value": "Gamma"}, {"key": "year", "value": 2005}]}]} |
[
{
"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", "eon"], "meta": [{"key": "origin", "value": "Velox"}, {"key": "year", "value": 1906}], "notes": ""}, {"atlas_nova": 4091.72, "lumenBeta": "Nova", "deltaZephyr": 1063.25, "novaTerra": "eon", "gammaGamma": false, "velox_gamma": 1651, "emberLumen": 5703, "lumen_eon": false, "alphaAtlas": "", "dimensions": {"height_cm": 229.4, "width_cm": 222.1, "depth_cm": 39.4}, "flags": {"featured": false, "archived": true}, "tags": ["terra", "eon"], "components": [{"name": "Gamma", "qty": 1}, {"name": "Nova", "qty": 3}]}, {"zephyr_omega": false, "nova_velox": false, "deltaLumen": false, "novaOmega": 8809.66, "atlasTerra": false, "flags": {"featured": false, "archived": true}, "meta": [{"key": "origin", "value": "Velox"}, {"key": "year", "value": 1969}], "components": [{"name": "Terra", "qty": 3}, {"name": "Velox", "qty": 3}]}, {"betaBeta": "terra", "auroraLumen": "", "lumenZephyr": "Beta", "gammaOmega": "delta", "alphaAlpha": 4610.13, "betaVelox": 3988.81, "dimensions": {"height_cm": 215.1, "width_cm": 262.4, "depth_cm": 98.6}, "flags": {"featured": true, "archived": true}, "tags": ["eon", "velox", "gamma"], "meta": [{"key": "origin", "value": "Aurora"}, {"key": "year", "value": 1911}], "notes": ""}, {"atlasEmber": "Aurora", "atlas_beta": 5431.16, "aurora_eon": false, "zephyrTerra": "", "veloxAtlas": "", "flags": {"featured": false, "archived": true}, "tags": ["lumen", "nova", "zephyr"], "meta": [{"key": "origin", "value": "Alpha"}, {"key": "year", "value": 2016}], "components": [{"name": "Atlas", "qty": 5}, {"name": "Eon", "qty": 4}], "notes": ""}]} |
[
{
"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"
},
{
"week": 3,
"topic": "process"
},
{
"week": 4,
"topic": "against"
},
{
"week": 5,
"topic": "easy"
},
{
"week": 6,
"topic": "manager"
},
{
"week": 7,
"topic": "experience"
},
{
"week": 8,
"topic": "push"
},
{
"week": 9,
"topic": "stage"
},
{
"week": 10,
"topic": "may"
},
{
"week": 11,
"topic": "popular"
}
],
"grading": {
"homework": 30,
"midterm": 30,
"final": 40
}
} |
[
{
"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": "I58"
},
{
"problem": "diabetes",
"icd10": "I59"
}
]
} |
[
{
"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": false, "zephyr_aurora": "ember", "omega_delta": "delta", "lumenEmber": "lumen", "atlas_nova": "", "velox_delta": 4857, "velox_eon": 8319, "alphaOmega": "Terra", "dimensions": {"height_cm": 125.2, "width_cm": 15.3, "depth_cm": 89.5}, "flags": {"featured": true, "archived": false}, "tags": ["delta", "zephyr", "terra", "nova"], "components": [{"name": "Atlas", "qty": 2}, {"name": "Atlas", "qty": 3}]}, {"lumenTerra": "Terra", "betaEon": 4324, "lumen_ember": "aurora", "terra_terra": true, "ember_aurora": "Lumen", "emberLumen": false, "eon_lumen": false, "dimensions": {"height_cm": 79.8, "width_cm": 160.1, "depth_cm": 83.7}, "flags": {"featured": false, "archived": true}, "tags": ["lumen", "zephyr", "atlas"], "meta": [{"key": "origin", "value": "Aurora"}, {"key": "year", "value": 1934}], "components": [{"name": "Beta", "qty": 5}, {"name": "Alpha", "qty": 2}]}, {"ember_atlas": "", "novaNova": "Lumen", "emberEmber": true, "zephyr_beta": "beta", "atlasAurora": 4465, "dimensions": {"height_cm": 228.7, "width_cm": 94.6, "depth_cm": 67.6}, "flags": {"featured": false, "archived": true}, "tags": ["delta", "atlas"], "components": [{"name": "Gamma", "qty": 3}, {"name": "Eon", "qty": 1}]}, {"gamma_beta": "Nova", "alphaVelox": "ember", "ember_omega": false, "lumenAtlas": "alpha", "omegaAurora": 5302, "lumen_ember": "omega", "dimensions": {"height_cm": 97.0, "width_cm": 212.6, "depth_cm": 78.0}, "flags": {"featured": false, "archived": true}, "meta": [{"key": "origin", "value": "Zephyr"}, {"key": "year", "value": 1961}], "components": [{"name": "Beta", "qty": 1}, {"name": "Terra", "qty": 5}], "notes": ""}]} |
[
{
"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": 7602, "velox_velox": true, "novaZephyr": "", "deltaGamma": "Beta", "zephyrLumen": "Beta", "omega_terra": true, "eonNova": 260.51, "emberZephyr": false, "beta_nova": 6463.13, "dimensions": {"height_cm": 159.3, "width_cm": 218.8, "depth_cm": 35.9}, "tags": ["ember", "eon", "beta"], "meta": [{"key": "origin", "value": "Beta"}, {"key": "year", "value": 1929}]}, {"terra_atlas": 9064.66, "ember_zephyr": 1508.94, "veloxZephyr": 1720.8, "omegaAlpha": 4079.12, "zephyr_atlas": 3391, "betaBeta": "gamma", "atlasAtlas": "alpha", "omega_omega": "omega", "ember_alpha": "Zephyr", "dimensions": {"height_cm": 280.0, "width_cm": 60.8, "depth_cm": 3.2}, "flags": {"featured": false, "archived": false}, "tags": ["beta", "eon", "zephyr", "aurora"], "meta": [{"key": "origin", "value": "Delta"}, {"key": "year", "value": 1961}], "components": [{"name": "Beta", "qty": 5}, {"name": "Eon", "qty": 1}], "notes": "Alpha"}, {"deltaDelta": true, "zephyrBeta": "Velox", "emberEmber": "Delta", "omega_terra": "Zephyr", "ember_eon": "Omega", "beta_atlas": "Eon", "zephyrEon": false, "atlas_terra": "Beta", "dimensions": {"height_cm": 62.6, "width_cm": 198.1, "depth_cm": 66.2}, "flags": {"featured": true, "archived": false}, "tags": ["velox", "alpha"], "meta": [{"key": "origin", "value": "Atlas"}, {"key": "year", "value": 1911}]}, {"eon_ember": false, "deltaEmber": "Gamma", "eonVelox": "", "alphaGamma": "Alpha", "eon_nova": 5980.82, "atlasLumen": false, "terraEmber": 617.11, "alpha_lumen": "Atlas", "dimensions": {"height_cm": 220.1, "width_cm": 54.0, "depth_cm": 86.4}, "flags": {"featured": true, "archived": true}, "tags": ["terra", "aurora", "ember", "ember"], "notes": ""}]} |
[
{
"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",
"tags": [
"along",
"gas",
"learn",
"dinner",
"director"
]
},
"audit_log": [
{
"action": "created",
"by": "stephanie31",
"timestamp": "1984-11-16T23:06:26.921884"
}
]
} |
[
{
"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"
version = "v3.0"
tags = [ "care", "bar", "rich", "attorney", "eight",] |
[
{
"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 = "2026-01-22T04:03:05.827726"
version = "v2.0"
tags = [ "surface", "very", "opportunity", "technology", "TV",] |
[
{
"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 = "2011-06-13T20:55:26.036572"
[meta_info]
generated_at = "2026-01-23T05:23:24.498415"
version = "v3.0"
tags = [ "provide", "include", "whom", "message", "side",] |
[
{
"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 = "jessica79"
timestamp = "1978-09-24T13:44:40.210898"
[meta_info]
generated_at = "2026-01-22T04:03:05.539337"
version = "v4.0"
tags = [ "wait", "large", "business", "number", "young",] |
[
{
"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 = "2026-01-22T04:03:05.005015"
version = "v5.0"
tags = [ "successful", "every", "still", "unit", "score",] |
[
{
"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</height_cm><width_cm>45.8</width_cm><depth_cm>70.1</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>omega</tags><tags>delta</tags><tags>aurora</tags></items><items><nova_ember>eon</nova_ember><atlas_nova>1471</atlas_nova><aurora_atlas>terra</aurora_atlas><aurora_omega>8512</aurora_omega><deltaGamma>zephyr</deltaGamma><velox_beta>7255</velox_beta><veloxNova>terra</veloxNova><dimensions><height_cm>26.2</height_cm><width_cm>268.4</width_cm><depth_cm>73.5</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><components><name>Nova</name><qty>3</qty></components><components><name>Nova</name><qty>5</qty></components></items><items><omega_beta>Zephyr</omega_beta><delta_zephyr /><zephyrOmega>Delta</zephyrOmega><aurora_beta>true</aurora_beta><atlasZephyr>Velox</atlasZephyr><deltaGamma>true</deltaGamma><dimensions><height_cm>251.1</height_cm><width_cm>17.6</width_cm><depth_cm>87.8</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>ember</tags><tags>zephyr</tags><tags>eon</tags><tags>delta</tags><meta><key>origin</key><value>Beta</value></meta><meta><key>year</key><value>1981</value></meta></items><items><veloxEon>delta</veloxEon><velox_lumen>2246.85</velox_lumen><atlasNova>3155.02</atlasNova><terra_terra>true</terra_terra><eon_zephyr>8675</eon_zephyr><gamma_nova>aurora</gamma_nova><zephyrEmber>true</zephyrEmber><eon_beta /><tags>terra</tags><tags>eon</tags><meta><key>origin</key><value>Nova</value></meta><meta><key>year</key><value>1988</value></meta><notes>Omega</notes></items></items> |
[
{
"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><flags><featured>false</featured><archived>false</archived></flags><tags>delta</tags><tags>beta</tags><tags>velox</tags><meta><key>origin</key><value>Atlas</value></meta><meta><key>year</key><value>1979</value></meta><components><name>Delta</name><qty>1</qty></components><components><name>Lumen</name><qty>1</qty></components></items><items><auroraZephyr>726.55</auroraZephyr><velox_zephyr>9778</velox_zephyr><gamma_nova>false</gamma_nova><zephyr_terra>false</zephyr_terra><nova_alpha>atlas</nova_alpha><zephyr_delta>false</zephyr_delta><velox_omega>7403.9</velox_omega><eonAurora>false</eonAurora><delta_eon>Nova</delta_eon><dimensions><height_cm>183.9</height_cm><width_cm>268.3</width_cm><depth_cm>86.2</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>atlas</tags><tags>eon</tags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>2005</value></meta></items><items><gamma_ember>1246</gamma_ember><betaAurora>Delta</betaAurora><betaTerra>Lumen</betaTerra><velox_atlas>Alpha</velox_atlas><auroraGamma /><ember_terra>false</ember_terra><betaEon>false</betaEon><deltaGamma>Beta</deltaGamma><dimensions><height_cm>56.6</height_cm><width_cm>77.4</width_cm><depth_cm>74.6</depth_cm></dimensions><tags>eon</tags><tags>zephyr</tags><tags>delta</tags><tags>terra</tags></items></items> |
[
{
"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</archived></flags><tags>atlas</tags><tags>zephyr</tags><tags>alpha</tags><meta><key>origin</key><value>Aurora</value></meta><meta><key>year</key><value>2023</value></meta><components><name>Zephyr</name><qty>1</qty></components><components><name>Beta</name><qty>5</qty></components></items><items><betaTerra>delta</betaTerra><eon_delta>nova</eon_delta><atlasVelox>false</atlasVelox><eonAtlas>3507.52</eonAtlas><eon_omega>9384</eon_omega><flags><featured>true</featured><archived>true</archived></flags><tags>gamma</tags><tags>omega</tags><tags>ember</tags><meta><key>origin</key><value>Terra</value></meta><meta><key>year</key><value>1988</value></meta><notes>Alpha</notes></items><items><betaEmber>3266.35</betaEmber><alpha_delta>false</alpha_delta><terraZephyr>3858.08</terraZephyr><velox_ember>3837</velox_ember><aurora_ember>delta</aurora_ember><dimensions><height_cm>145.2</height_cm><width_cm>269.7</width_cm><depth_cm>68.8</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>aurora</tags><tags>atlas</tags><meta><key>origin</key><value>Atlas</value></meta><meta><key>year</key><value>1921</value></meta></items></items> |
[
{
"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</width_cm><depth_cm>40.9</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>terra</tags><tags>lumen</tags></items><items><alpha_nova>9818</alpha_nova><zephyr_lumen>9905</zephyr_lumen><omega_beta>Beta</omega_beta><betaZephyr>Ember</betaZephyr><alphaAurora>7616.36</alphaAurora><emberTerra>true</emberTerra><eonEon>9539</eonEon><betaEon>lumen</betaEon><dimensions><height_cm>170.2</height_cm><width_cm>122.2</width_cm><depth_cm>46.9</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>terra</tags><tags>aurora</tags><tags>ember</tags><tags>delta</tags><components><name>Gamma</name><qty>2</qty></components><components><name>Gamma</name><qty>2</qty></components></items><items><deltaGamma>Beta</deltaGamma><gamma_delta>Gamma</gamma_delta><terra_aurora>4763</terra_aurora><aurora_nova>true</aurora_nova><ember_alpha>true</ember_alpha><dimensions><height_cm>261.8</height_cm><width_cm>276.9</width_cm><depth_cm>91.2</depth_cm></dimensions><tags>gamma</tags><tags>delta</tags><meta><key>origin</key><value>Aurora</value></meta><meta><key>year</key><value>1907</value></meta></items><items><veloxAtlas>true</veloxAtlas><gammaEon>beta</gammaEon><alpha_beta>false</alpha_beta><zephyrEon>Atlas</zephyrEon><nova_velox /><zephyrAurora>9579.87</zephyrAurora><auroraDelta>4870</auroraDelta><auroraNova>Beta</auroraNova><alpha_nova>6664.69</alpha_nova><dimensions><height_cm>178.8</height_cm><width_cm>29.0</width_cm><depth_cm>43.1</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>velox</tags><tags>nova</tags><tags>alpha</tags><meta><key>origin</key><value>Alpha</value></meta><meta><key>year</key><value>1996</value></meta></items></items> |
[
{
"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</width_cm><depth_cm>90.6</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>aurora</tags><tags>eon</tags><tags>terra</tags><tags>terra</tags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>1989</value></meta></items><items><alpha_velox>730.01</alpha_velox><nova_beta>Velox</nova_beta><lumen_alpha>true</lumen_alpha><gammaAlpha>false</gammaAlpha><zephyrOmega>delta</zephyrOmega><auroraDelta>true</auroraDelta><atlasVelox>3397</atlasVelox><dimensions><height_cm>36.9</height_cm><width_cm>208.6</width_cm><depth_cm>52.4</depth_cm></dimensions><tags>velox</tags><tags>atlas</tags><meta><key>origin</key><value>Alpha</value></meta><meta><key>year</key><value>1987</value></meta><components><name>Alpha</name><qty>1</qty></components><components><name>Lumen</name><qty>5</qty></components><notes>Delta</notes></items><items><gamma_lumen>3997.59</gamma_lumen><zephyrGamma>5752</zephyrGamma><atlas_velox>3292.01</atlas_velox><terra_delta>terra</terra_delta><alphaBeta>5549</alphaBeta><omega_terra>2142</omega_terra><gammaGamma>519.63</gammaGamma><dimensions><height_cm>178.3</height_cm><width_cm>118.3</width_cm><depth_cm>93.1</depth_cm></dimensions><components><name>Delta</name><qty>5</qty></components><components><name>Nova</name><qty>4</qty></components></items><items><beta_gamma>4684.99</beta_gamma><eonLumen>true</eonLumen><terraBeta /><eonBeta>Alpha</eonBeta><lumen_alpha>true</lumen_alpha><novaEmber>omega</novaEmber><dimensions><height_cm>270.3</height_cm><width_cm>274.3</width_cm><depth_cm>48.8</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>lumen</tags><tags>omega</tags><meta><key>origin</key><value>Atlas</value></meta><meta><key>year</key><value>1947</value></meta><components><name>Omega</name><qty>5</qty></components><components><name>Gamma</name><qty>5</qty></components></items></items> |
[
{
"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.
Close that speech alone know wish matter. Finally adult statement method.</content>
<date>2026-01-02</date>
<verified_purchase>False</verified_purchase>
<helpful_votes>34</helpful_votes>
</customer_review> |
[
{
"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</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><meta><key>origin</key><value>Velox</value></meta><meta><key>year</key><value>1974</value></meta></items><items><lumenBeta>Atlas</lumenBeta><novaOmega>lumen</novaOmega><novaEmber>true</novaEmber><aurora_beta>4850.13</aurora_beta><lumen_zephyr>6230</lumen_zephyr><dimensions><height_cm>168.3</height_cm><width_cm>185.1</width_cm><depth_cm>18.3</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>ember</tags><tags>eon</tags><tags>alpha</tags><meta><key>origin</key><value>Gamma</value></meta><meta><key>year</key><value>1925</value></meta><components><name>Atlas</name><qty>4</qty></components><components><name>Terra</name><qty>3</qty></components><notes /></items><items><alpha_eon>Ember</alpha_eon><aurora_atlas>6413</aurora_atlas><terraGamma>7768</terraGamma><ember_lumen>Gamma</ember_lumen><nova_lumen>2685.27</nova_lumen><eonLumen>2632.03</eonLumen><veloxAlpha>true</veloxAlpha><ember_atlas>nova</ember_atlas><dimensions><height_cm>41.2</height_cm><width_cm>266.9</width_cm><depth_cm>43.8</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>alpha</tags><tags>atlas</tags><tags>zephyr</tags><tags>delta</tags><notes>Delta</notes></items><items><betaLumen>alpha</betaLumen><zephyrEmber>gamma</zephyrEmber><omega_delta>delta</omega_delta><eon_terra>false</eon_terra><omegaDelta>omega</omegaDelta><beta_beta>9608</beta_beta><dimensions><height_cm>292.3</height_cm><width_cm>67.2</width_cm><depth_cm>24.4</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>alpha</tags><tags>eon</tags><tags>beta</tags><meta><key>origin</key><value>Atlas</value></meta><meta><key>year</key><value>1931</value></meta><components><name>Omega</name><qty>3</qty></components><components><name>Ember</name><qty>2</qty></components><notes>Nova</notes></items><items><terraAtlas>Alpha</terraAtlas><omega_alpha>580.15</omega_alpha><alpha_terra>7252.9</alpha_terra><atlasAlpha>true</atlasAlpha><nova_omega>286</nova_omega><novaLumen>8896</novaLumen><eonEon>true</eonEon><dimensions><height_cm>71.9</height_cm><width_cm>254.4</width_cm><depth_cm>84.2</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><components><name>Nova</name><qty>4</qty></components><components><name>Ember</name><qty>4</qty></components></items><items><emberBeta>Beta</emberBeta><deltaTerra>Lumen</deltaTerra><auroraBeta>true</auroraBeta><zephyrNova>false</zephyrNova><zephyrOmega>910.92</zephyrOmega><auroraAlpha>true</auroraAlpha><ember_aurora>898</ember_aurora><alphaZephyr>7439.1</alphaZephyr><emberEon>4028.65</emberEon><dimensions><height_cm>194.2</height_cm><width_cm>295.0</width_cm><depth_cm>98.9</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><meta><key>origin</key><value>Eon</value></meta><meta><key>year</key><value>1977</value></meta><components><name>Terra</name><qty>5</qty></components><components><name>Gamma</name><qty>2</qty></components><notes>Atlas</notes></items></items> |
[
{
"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>
</experiment_result> |
[
{
"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><depth_cm>34.2</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>delta</tags><tags>eon</tags><meta><key>origin</key><value>Eon</value></meta><meta><key>year</key><value>1904</value></meta></items><items><delta_delta>Lumen</delta_delta><atlas_beta>Delta</atlas_beta><betaDelta>1872</betaDelta><auroraEon>24.35</auroraEon><alphaAlpha>false</alphaAlpha><novaLumen>2153.33</novaLumen><terra_terra>delta</terra_terra><dimensions><height_cm>45.3</height_cm><width_cm>230.8</width_cm><depth_cm>6.5</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><meta><key>origin</key><value>Omega</value></meta><meta><key>year</key><value>1934</value></meta><components><name>Lumen</name><qty>1</qty></components><components><name>Velox</name><qty>3</qty></components></items><items><alpha_gamma>atlas</alpha_gamma><nova_terra>6785</nova_terra><terraTerra>true</terraTerra><lumen_eon>7830</lumen_eon><deltaOmega>3145.43</deltaOmega><atlas_ember>9915.45</atlas_ember><dimensions><height_cm>73.7</height_cm><width_cm>221.0</width_cm><depth_cm>51.8</depth_cm></dimensions><meta><key>origin</key><value>Omega</value></meta><meta><key>year</key><value>1963</value></meta></items><items><betaEon>false</betaEon><gamma_omega>Beta</gamma_omega><emberNova>Ember</emberNova><eon_velox>1725</eon_velox><ember_gamma>9267.85</ember_gamma><alphaNova>true</alphaNova><alpha_omega>lumen</alpha_omega><deltaTerra>9660.21</deltaTerra><dimensions><height_cm>113.5</height_cm><width_cm>96.2</width_cm><depth_cm>38.9</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><meta><key>origin</key><value>Aurora</value></meta><meta><key>year</key><value>1989</value></meta><notes /></items><items><emberNova>2377.34</emberNova><gamma_eon>Gamma</gamma_eon><aurora_atlas>omega</aurora_atlas><veloxEmber>true</veloxEmber><lumen_nova>Atlas</lumen_nova><novaAtlas>gamma</novaAtlas><emberTerra>velox</emberTerra><dimensions><height_cm>91.8</height_cm><width_cm>291.1</width_cm><depth_cm>82.4</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><meta><key>origin</key><value>Nova</value></meta><meta><key>year</key><value>1954</value></meta><components><name>Zephyr</name><qty>4</qty></components><components><name>Ember</name><qty>4</qty></components><notes /></items><items><nova_aurora>omega</nova_aurora><omegaLumen>5423.57</omegaLumen><nova_atlas>480</nova_atlas><aurora_alpha>Terra</aurora_alpha><eon_ember>true</eon_ember><deltaOmega>true</deltaOmega><terra_ember>lumen</terra_ember><dimensions><height_cm>101.1</height_cm><width_cm>119.1</width_cm><depth_cm>51.5</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>delta</tags><tags>nova</tags><tags>gamma</tags><meta><key>origin</key><value>Ember</value></meta><meta><key>year</key><value>2016</value></meta><components><name>Zephyr</name><qty>5</qty></components><components><name>Gamma</name><qty>2</qty></components></items></items> |
[
{
"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: Alpha
- key: year
value: 2022
components:
- name: Gamma
qty: 3
- name: Beta
qty: 2
- betaTerra: Zephyr
zephyrDelta: Gamma
alpha_aurora: 9564
novaTerra: 1559
auroraOmega: 6378
dimensions:
height_cm: 180.4
width_cm: 26.8
depth_cm: 84.0
tags:
- lumen
- ember
- ember
- beta
meta:
- key: origin
value: Delta
- key: year
value: 1938
components:
- name: Eon
qty: 2
- name: Lumen
qty: 2
- velox_alpha: velox
novaLumen: 2441.18
terraDelta: 3538
novaVelox: 2790
eon_ember: false
lumenZephyr: 1230
gamma_omega: 234.43
betaEon: 3227
dimensions:
height_cm: 58.0
width_cm: 263.0
depth_cm: 39.6
flags:
featured: true
archived: true
tags:
- delta
- delta
- delta
- eon
meta:
- key: origin
value: Aurora
- key: year
value: 1909 |
[
{
"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: Beta
- key: year
value: 1986
components:
- name: Delta
qty: 3
- name: Omega
qty: 5
- emberAlpha: Delta
betaEon: 6024.16
alpha_terra: lumen
emberAtlas: Ember
omegaBeta: false
velox_terra: beta
aurora_gamma: 1626.74
dimensions:
height_cm: 271.0
width_cm: 101.3
depth_cm: 78.2
flags:
featured: true
archived: false
tags:
- eon
- omega
meta:
- key: origin
value: Beta
- key: year
value: 1950
components:
- name: Nova
qty: 5
- name: Gamma
qty: 1
- aurora_zephyr: 8120.52
aurora_alpha: 5802
nova_atlas: 4611
atlas_omega: 7172
lumenEon: 5593.25
omegaVelox: delta
dimensions:
height_cm: 76.4
width_cm: 41.9
depth_cm: 41.6
flags:
featured: false
archived: true
tags:
- velox
- alpha
- alpha
- ember
meta:
- key: origin
value: Lumen
- key: year
value: 1983
notes: Beta
- alpha_ember: 6319.4
nova_gamma: eon
terraLumen: 5441
betaOmega: 6942.65
zephyrNova: ember
omegaVelox: 7465
dimensions:
height_cm: 69.2
width_cm: 170.5
depth_cm: 40.5
tags:
- omega
- ember
- terra
meta:
- key: origin
value: Alpha
- key: year
value: 1922
components:
- name: Delta
qty: 1
- name: Atlas
qty: 5
- zephyrOmega: 1969
atlas_atlas: 8928.14
auroraLumen: 9894.55
velox_velox: nova
velox_ember: zephyr
terra_terra: 2643.84
auroraAlpha: Nova
omegaGamma: Delta
dimensions:
height_cm: 100.4
width_cm: 300.0
depth_cm: 51.4
flags:
featured: false
archived: false
tags:
- terra
- alpha
- eon
meta:
- key: origin
value: Terra
- key: year
value: 1971
components:
- name: Velox
qty: 3
- name: Eon
qty: 1
- veloxVelox: Eon
auroraBeta: true
gammaBeta: aurora
veloxAurora: false
terraZephyr: ''
flags:
featured: true
archived: true
meta:
- key: origin
value: Atlas
- key: year
value: 1956 |
[
{
"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: year
value: 1963
- atlasTerra: 7353.38
alpha_beta: 2052
lumenTerra: 5759.16
emberAtlas: true
atlasLumen: omega
delta_delta: Alpha
nova_ember: true
eonTerra: Nova
dimensions:
height_cm: 51.5
width_cm: 290.8
depth_cm: 58.3
tags:
- velox
- atlas
- gamma
- aurora
meta:
- key: origin
value: Aurora
- key: year
value: 1916
components:
- name: Alpha
qty: 2
- name: Zephyr
qty: 2
- ember_omega: alpha
terra_ember: 8134
deltaAlpha: false
omegaAtlas: ''
gammaEmber: false
atlas_eon: Zephyr
deltaNova: Aurora
veloxVelox: Beta
beta_delta: Terra
dimensions:
height_cm: 288.3
width_cm: 129.3
depth_cm: 46.3
flags:
featured: true
archived: false
tags:
- beta
- nova
- alpha
meta:
- key: origin
value: Aurora
- key: year
value: 1960
notes: Ember |
[
{
"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: '2022-01-22T04:18:21.865191'
- action: created
by: kenneth21
timestamp: '1981-11-26T16:34:59.117882' |
[
{
"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.'
tags:
- consider
- whatever
- part
- however
- special
views: 49705
shares: 392 |
[
{
"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_zephyr: Omega
alpha_aurora: 5472.6
novaVelox: eon
deltaLumen: aurora
dimensions:
height_cm: 137.9
width_cm: 22.7
depth_cm: 15.6
tags:
- nova
- ember
- omega
meta:
- key: origin
value: Ember
- key: year
value: 2000
components:
- name: Beta
qty: 1
- name: Ember
qty: 5
- emberAlpha: 9753
lumenAlpha: Beta
zephyr_velox: atlas
deltaOmega: false
beta_zephyr: Velox
delta_aurora: 6070.06
omega_omega: 651.55
alphaDelta: 8353
auroraTerra: true
dimensions:
height_cm: 137.6
width_cm: 201.4
depth_cm: 17.9
tags:
- lumen
- ember
- novaZephyr: beta
deltaAurora: 8948
delta_eon: 3316.9
eon_delta: Zephyr
beta_lumen: 2835
dimensions:
height_cm: 104.3
width_cm: 190.4
depth_cm: 34.1
flags:
featured: true
archived: false
tags:
- omega
- beta
- alpha
notes: Nova |
[
{
"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
points_possible: 10
- question: 5
points_earned: 7
points_possible: 10
- question: 6
points_earned: 4
points_possible: 10
- question: 7
points_earned: 10
points_possible: 10
- question: 8
points_earned: 7
points_possible: 10
total_score: 60
percentage: 56.31
grade: A |
[
{
"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_omega,veloxBeta,veloxEon,velox_nova,zephyrAurora,zephyr_terra
,,,,,Velox,,,,,"{""height_cm"": 220.3, ""width_cm"": 42.4, ""depth_cm"": 55.7}",,,,,"{""featured"": true, ""archived"": false}",8272,309,,,,"[{""key"": ""origin"", ""value"": ""Ember""}, {""key"": ""year"", ""value"": 1936}]",,,,,,Delta,"[""aurora"", ""eon"", ""beta"", ""lumen""]",,,lumen,,Eon,,185.58
,Omega,,,,,,,true,,"{""height_cm"": 261.8, ""width_cm"": 241.7, ""depth_cm"": 36.3}",8266.58,5460.82,alpha,3429,"{""featured"": false, ""archived"": true}",,,7311,,false,"[{""key"": ""origin"", ""value"": ""Atlas""}, {""key"": ""year"", ""value"": 2007}]",,,,,,,"[""zephyr"", ""eon"", ""zephyr"", ""atlas""]",,Beta,,,,,
,,,,4710.67,,1752,,,false,"{""height_cm"": 156.7, ""width_cm"": 99.1, ""depth_cm"": 23.8}",,,,,"{""featured"": false, ""archived"": true}",,,,,,"[{""key"": ""origin"", ""value"": ""Gamma""}, {""key"": ""year"", ""value"": 2011}]",Ember,lumen,,,,,,true,true,,false,,,
2492,,,true,,,,,,,"{""height_cm"": 143.3, ""width_cm"": 198.8, ""depth_cm"": 70.6}",,,,,"{""featured"": false, ""archived"": true}",,,,,,"[{""key"": ""origin"", ""value"": ""Velox""}, {""key"": ""year"", ""value"": 1907}]",,,,true,,,,,,,,,6559,
,,,,,,,velox,,terra,"{""height_cm"": 42.4, ""width_cm"": 85.7, ""depth_cm"": 15.9}",,,,,"{""featured"": false, ""archived"": false}",,,,Velox,,,,,5905,,1195.21,,"[""beta"", ""beta"", ""eon"", ""aurora""]",,,,,,, |
[
{
"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,notes,novaGamma,nova_nova,nova_terra,omegaTerra,omega_alpha,tags,terraVelox,terra_alpha,terra_aurora,terra_ember,veloxAurora,veloxEmber,veloxNova,veloxOmega,velox_alpha,velox_eon,zephyrBeta,zephyrEon,zephyr_nova
Terra,,,,,,,,,,"[{""name"": ""Aurora"", ""qty"": 1}, {""name"": ""Eon"", ""qty"": 3}]",,"{""height_cm"": 255.4, ""width_cm"": 124.3, ""depth_cm"": 38.1}",,,,,eon,,,true,,,,,Velox,,,,"[{""key"": ""origin"", ""value"": ""Velox""}, {""key"": ""year"", ""value"": 1958}]",,zephyr,,,,,,1246.7,,,,,,,,,Ember,,,
,,,,,9755,,,,,,true,"{""height_cm"": 89.3, ""width_cm"": 84.9, ""depth_cm"": 85.9}",,,,,,false,,,"{""featured"": false, ""archived"": true}",,,,,6495.63,,,"[{""key"": ""origin"", ""value"": ""Terra""}, {""key"": ""year"", ""value"": 1900}]",,,,,,,"[""ember"", ""delta"", ""omega"", ""atlas""]",,,,,,,3610.81,,,,Ember,,
,,,,9701,,,,,8043,,,"{""height_cm"": 145.6, ""width_cm"": 286.6, ""depth_cm"": 37.4}",,,8204,,6893,,,,"{""featured"": true, ""archived"": true}",,,,,,,,"[{""key"": ""origin"", ""value"": ""Atlas""}, {""key"": ""year"", ""value"": 1978}]",,,,false,,,"[""aurora"", ""ember"", ""terra""]",,,,,,,,,Omega,,1092.81,,
,,,,,,Gamma,,eon,,,,"{""height_cm"": 26.9, ""width_cm"": 59.2, ""depth_cm"": 96.1}",,,,,,,9756,,"{""featured"": false, ""archived"": false}",,,,,,terra,4507.59,"[{""key"": ""origin"", ""value"": ""Zephyr""}, {""key"": ""year"", ""value"": 1928}]",,,alpha,,,,"[""ember"", ""alpha""]",,,,2303,,Delta,,,delta,,,,
,false,1102,,,,,,,,,,"{""height_cm"": 148.1, ""width_cm"": 41.1, ""depth_cm"": 22.4}",1090,true,,,,,,,"{""featured"": true, ""archived"": false}",5065,,,,,,,"[{""key"": ""origin"", ""value"": ""Ember""}, {""key"": ""year"", ""value"": 1907}]",,,,,terra,,"[""beta"", ""lumen"", ""beta"", ""beta""]",,gamma,,,,,,1890.79,,,,,9407.7
,,,117,,,,,,,"[{""name"": ""Ember"", ""qty"": 3}, {""name"": ""Aurora"", ""qty"": 3}]",,"{""height_cm"": 263.2, ""width_cm"": 145.2, ""depth_cm"": 20.3}",,,,Aurora,,,,,"{""featured"": true, ""archived"": true}",,alpha,Lumen,,,,,,,,,,,9122.18,"[""aurora"", ""omega"", ""omega"", ""eon""]",,,8593,false,2719,,,,,,,787, |
[
{
"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,omega_eon,omega_gamma,tags,veloxAtlas,veloxOmega
,,,,5043,Eon,,,,,,gamma,,,,7923.06,,,"{""featured"": true, ""archived"": true}",,3752.8,,,Beta,,true,,,,Zephyr,,,"[""terra"", ""alpha""]",,
,,,,,,,eon,Atlas,"[{""name"": ""Gamma"", ""qty"": 1}, {""name"": ""Lumen"", ""qty"": 1}]",,,"{""height_cm"": 112.3, ""width_cm"": 281.3, ""depth_cm"": 22.2}",,,,,false,,true,,,,,"[{""key"": ""origin"", ""value"": ""Ember""}, {""key"": ""year"", ""value"": 2012}]",,,9435.57,1021,,,,"[""nova"", ""atlas"", ""gamma""]",,3189
,,6683.63,,2575,,,,,,atlas,,"{""height_cm"": 143.2, ""width_cm"": 110.8, ""depth_cm"": 73.9}",delta,,,,,"{""featured"": false, ""archived"": true}",,,,false,,"[{""key"": ""origin"", ""value"": ""Zephyr""}, {""key"": ""year"", ""value"": 1941}]",,1106,,,,,false,"[""aurora"", ""delta""]",delta,
Omega,true,,,,,false,,,"[{""name"": ""Zephyr"", ""qty"": 3}, {""name"": ""Beta"", ""qty"": 1}]",,,"{""height_cm"": 163.5, ""width_cm"": 98.6, ""depth_cm"": 79.9}",,Aurora,,false,,"{""featured"": false, ""archived"": true}",,,1719.31,,,"[{""key"": ""origin"", ""value"": ""Velox""}, {""key"": ""year"", ""value"": 1953}]",,,,,,4802.06,,"[""gamma"", ""gamma"", ""nova"", ""nova""]",, |
[
{
"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}",,,Alpha,"{""featured"": true, ""archived"": false}",false,9076.92,"[{""key"": ""origin"", ""value"": ""Omega""}, {""key"": ""year"", ""value"": 1938}]",2177,1730,,,,"[""nova"", ""terra"", ""velox"", ""eon""]",lumen,,,
terra,ember,,false,,"{""height_cm"": 217.2, ""width_cm"": 136.5, ""depth_cm"": 25.5}",,true,,"{""featured"": true, ""archived"": true}",,,,,,6356,,5870,"[""beta"", ""eon""]",,,,
,,,true,"[{""name"": ""Terra"", ""qty"": 4}, {""name"": ""Delta"", ""qty"": 1}]","{""height_cm"": 47.4, ""width_cm"": 223.8, ""depth_cm"": 80.2}",false,,,,,,"[{""key"": ""origin"", ""value"": ""Nova""}, {""key"": ""year"", ""value"": 1948}]",,,,,,"[""alpha"", ""beta""]",,2155.63,Alpha,5100 |
[
{
"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,zephyrAtlas
,,,,,,,"{""height_cm"": 77.4, ""width_cm"": 254.0, ""depth_cm"": 65.9}",,8107.8,,,"{""featured"": true, ""archived"": false}",2185.69,,,,,154.05,,,"[{""key"": ""origin"", ""value"": ""Ember""}, {""key"": ""year"", ""value"": 2007}]",,delta,,9343,,"[""beta"", ""velox"", ""delta"", ""eon""]",,,,
,,,,"[{""name"": ""Lumen"", ""qty"": 5}, {""name"": ""Beta"", ""qty"": 1}]",,,"{""height_cm"": 148.8, ""width_cm"": 294.2, ""depth_cm"": 5.2}",,,,,"{""featured"": true, ""archived"": false}",,8665.31,,2231.43,3916,,4520.63,9690.32,,,,,,,"[""velox"", ""lumen"", ""gamma"", ""aurora""]",,,,
false,false,,Omega,"[{""name"": ""Omega"", ""qty"": 1}, {""name"": ""Velox"", ""qty"": 5}]",4327,,"{""height_cm"": 125.0, ""width_cm"": 277.5, ""depth_cm"": 90.4}",true,,Atlas,atlas,"{""featured"": true, ""archived"": true}",,,,,,,,,"[{""key"": ""origin"", ""value"": ""Alpha""}, {""key"": ""year"", ""value"": 1961}]",,,,,,"[""delta"", ""aurora""]",zephyr,,Aurora,
,,true,,,,2121,"{""height_cm"": 155.4, ""width_cm"": 23.4, ""depth_cm"": 75.5}",,,,,"{""featured"": false, ""archived"": false}",,,false,,,,,,"[{""key"": ""origin"", ""value"": ""Nova""}, {""key"": ""year"", ""value"": 1929}]",Beta,,,,4525,"[""aurora"", ""delta"", ""terra"", ""delta""]",,6465.66,,Atlas |
[
{
"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 |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following JSON to TOML:\n{\n \"product\": \"deep\",\n \"price\": 39.73,\n \"stock\": 24,\n \"meta_info\": {\n \"generated_at\": \... | {
"complexity": "complex",
"estimated_tokens": 261,
"format": "toml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 614,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | product = "deep"
price = 39.73
stock = 24
[[audit_log]]
action = "created"
by = "kenneththomas"
timestamp = "1998-03-10T10:41:55.350865"
[[audit_log]]
action = "created"
by = "gonzalezvincent"
timestamp = "1989-09-17T02:00:16.187770"
[[audit_log]]
action = "created"
by = "jacquelineweaver"
timestamp = "1990-12-10T12:24:25.557734"
[meta_info]
generated_at = "2026-01-23T05:23:25.376239"
version = "v5.0"
tags = [ "across", "tonight", "audience", "everybody", "successful",] |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the JSON below into TOML:\n{\n \"timestamp\": \"2026-01-22T04:03:05.390145\",\n \"level\": \"ERROR\",\n \"message\": \"Thus gun listen c... | {
"complexity": "complex",
"estimated_tokens": 242,
"format": "toml",
"schema": "error_log",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 4452,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | timestamp = "2026-01-22T04:03:05.390145"
level = "ERROR"
message = "Thus gun listen close."
[[audit_log]]
action = "created"
by = "ywolf"
timestamp = "2000-02-19T05:35:31.909361"
[[audit_log]]
action = "created"
by = "monica03"
timestamp = "1980-04-27T09:58:15.554391"
[meta_info]
generated_at = "2026-01-22T04:03:05.390376"
version = "v4.0"
tags = [ "fill", "summer", "gun", "discussion", "end",] |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Reformat the JSON below into TOML:\n{\n \"random_content\": [\n {\n \"property\": {\n \"paper\": false,\n \"return_1\": true,... | {
"complexity": "simple",
"estimated_tokens": 359,
"format": "toml",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3621,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | random_content = "[{\"property\": {\"paper\": false, \"return_1\": true, \"trade_2\": 1.89, \"claim_3\": \"room\"}, \"room_1\": [8.07, 9, \"bill\"], \"live_2\": [2.96, 6.02, \"return\", \"produce\", null], \"call_3\": {\"situation\": 8.44}}, {\"plant\": \"indicate\", \"eye_1\": {\"establish\": null, \"national_1\": \"down\", \"bag_2\": true, \"marriage_3\": 56, \"account_4\": \"sister\"}, \"time_2\": {\"eat\": null, \"and_1\": true, \"task_2\": null, \"continue_3\": 1.9}, \"add_3\": [null, null, \"reality\"]}, \"final\", [\"picture\", {\"support\": 8}, [null, \"certain\", 44, true]], {\"responsibility\": \"produce\", \"reach_1\": {\"government\": 5.69, \"rest_1\": 44, \"action_2\": null, \"forward_3\": null}, \"management_2\": \"citizen\", \"experience_3\": {\"participant\": null, \"along_1\": null, \"person_2\": \"man\", \"newspaper_3\": null}, \"now_4\": \"sure\"}]" |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following JSON to TOML:\n{\n \"product\": \"per\",\n \"price\": 11.91,\n \"stock\": 11\n}",
"role": "user"
},
{
"content"... | {
"complexity": "medium",
"estimated_tokens": 151,
"format": "toml",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2842,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | product = "per"
price = 11.91
stock = 11 |
[
{
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following JSON to TOML:\n{\n \"article_id\": \"ART-6846954\",\n \"headline\": \"Triple-buffered intangible knowledgebase\",\n \"author\": \... | {
"complexity": "complex",
"estimated_tokens": 195,
"format": "toml",
"schema": "news_article",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 2346,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | article_id = "ART-6846954"
headline = "Triple-buffered intangible knowledgebase"
author = "Steven Burgess"
published = "2026-01-02T13:52:55.283034"
section = "Politics"
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."
tags = [ "couple", "specific", "him",]
views = 35509
shares = 3662 |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following JSON to TOML:\n{\n \"particularly\": [\n false,\n \"last\"\n ],\n \"picture_1\": {\n \"white\": 3.64,\n \"much_... | {
"complexity": "simple",
"estimated_tokens": 159,
"format": "toml",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3032,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | particularly = [ false, "last",]
[picture_1]
white = 3.64
much_1 = 54 |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from JSON to TOML:\n{\n \"paper_id\": \"arXiv:2024.44310\",\n \"title\": \"Horizontal static Internet solution\",\n \"authors... | {
"complexity": "complex",
"estimated_tokens": 380,
"format": "toml",
"schema": "research_paper",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3541,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | paper_id = "arXiv:2024.44310"
title = "Horizontal static Internet solution"
abstract = "Growth imagine very natural enjoy medical behavior low. Question traditional fact but despite. Prove rather but page sort indeed."
keywords = [ "defense", "mean", "official", "radio", "those",]
[[authors]]
name = "Mary Hardy"
affiliation = "Gonzalez, Morgan and Rodriguez"
email = "uphillips@example.net"
[[authors]]
name = "Jenny Horn"
affiliation = "Lambert Inc"
email = "uliu@example.com"
[[authors]]
name = "Matthew Woods"
affiliation = "Stone LLC"
email = "zwilkinson@example.com"
[[audit_log]]
action = "created"
by = "mmendez"
timestamp = "2015-02-07T03:55:31.549470"
[[audit_log]]
action = "created"
by = "bradley79"
timestamp = "1983-08-18T23:50:15.410502"
[publication]
venue = "NeurIPS"
year = 2023
doi = "10.1972/bjjG"
[meta_info]
generated_at = "2026-01-23T05:23:24.242096"
version = "v4.0"
tags = [ "answer", "could", "mean", "throw", "good",] |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from JSON to TOML:\n{\n \"course\": \"Right-sized context-sensitive superstructure\",\n \"weeks\": 11,\n \"credits\": 3,\n \... | {
"complexity": "complex",
"estimated_tokens": 220,
"format": "toml",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3861,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | course = "Right-sized context-sensitive superstructure"
weeks = 11
credits = 3
[[audit_log]]
action = "created"
by = "michaelsmith"
timestamp = "1996-11-12T19:13:19.777724"
[meta_info]
generated_at = "2026-01-23T05:23:24.088213"
version = "v3.0"
tags = [ "theory", "movement", "evening", "Congress", "reality",] |
[
{
"content": "You are an expert in TOML format. Think step-by-step, then generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Convert the following JSON to TOML:\n{\n \"revenue\": 65816825,\n \"ticker\": \"IQTA\",\n \"expenses\": 77578182,\n \"company\": \"Ramos-Wallace\"\n}"... | {
"complexity": "simple",
"estimated_tokens": 97,
"format": "toml",
"schema": "financial_report",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 1575,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | revenue = 65816825
ticker = "IQTA"
expenses = 77578182
company = "Ramos-Wallace" |
[
{
"content": "You are an expert in TOML format. Analyze the data structure and generate syntactically perfect TOML.",
"role": "system"
},
{
"content": "Transform this data from JSON to TOML:\n{\n \"user\": \"scruz\",\n \"post\": \"When whatever summer shake group attention once never. Including se... | {
"complexity": "complex",
"estimated_tokens": 275,
"format": "toml",
"schema": "social_media_post",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 2934,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | user = "scruz"
post = "When whatever summer shake group attention once never. Including sense affect you true plan."
likes = 702
[[audit_log]]
action = "created"
by = "david35"
timestamp = "1980-02-08T15:39:38.156366"
[[audit_log]]
action = "created"
by = "jessica11"
timestamp = "1990-01-05T14:28:45.797584"
[[audit_log]]
action = "created"
by = "snyderbonnie"
timestamp = "1983-10-25T01:36:40.643555"
[meta_info]
generated_at = "2026-01-23T05:23:25.161855"
version = "v3.0"
tags = [ "ground", "worry", "interesting", "money", "get",] |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 3224,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <root><items><eon_omega>1588</eon_omega><gammaAlpha>false</gammaAlpha><gammaVelox>9231</gammaVelox><omega_velox>terra</omega_velox><omegaAurora>Lumen</omegaAurora><beta_atlas>Delta</beta_atlas><betaAtlas>2321.76</betaAtlas><dimensions><height_cm>2.2</height_cm><width_cm>188.5</width_cm><depth_cm>81.6</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>ember</tags><tags>atlas</tags><tags>aurora</tags><tags>omega</tags><meta><key>origin</key><value>Omega</value></meta><meta><key>year</key><value>1936</value></meta><components><name>Velox</name><qty>4</qty></components><components><name>Eon</name><qty>2</qty></components></items><items><veloxAlpha>alpha</veloxAlpha><eonAurora>false</eonAurora><atlasEmber>7385</atlasEmber><omegaBeta>gamma</omegaBeta><veloxDelta /><gamma_zephyr /><emberGamma>omega</emberGamma><dimensions><height_cm>140.4</height_cm><width_cm>173.4</width_cm><depth_cm>14.6</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>delta</tags><tags>beta</tags><tags>lumen</tags><meta><key>origin</key><value>Beta</value></meta><meta><key>year</key><value>2007</value></meta></items><items><gamma_zephyr>terra</gamma_zephyr><atlas_atlas>5350.35</atlas_atlas><velox_velox>false</velox_velox><zephyr_zephyr>terra</zephyr_zephyr><gammaLumen>Ember</gammaLumen><nova_velox /><dimensions><height_cm>279.8</height_cm><width_cm>14.6</width_cm><depth_cm>78.3</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><meta><key>origin</key><value>Velox</value></meta><meta><key>year</key><value>1955</value></meta><components><name>Velox</name><qty>1</qty></components><components><name>Nova</name><qty>5</qty></components></items><items><beta_zephyr>5897.66</beta_zephyr><lumen_omega>lumen</lumen_omega><auroraVelox>Atlas</auroraVelox><zephyr_lumen>4026.7</zephyr_lumen><atlas_eon>true</atlas_eon><dimensions><height_cm>234.7</height_cm><width_cm>112.2</width_cm><depth_cm>52.8</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>ember</tags><tags>alpha</tags><tags>delta</tags><meta><key>origin</key><value>Ember</value></meta><meta><key>year</key><value>1950</value></meta><notes>Delta</notes></items><items><terra_delta>true</terra_delta><aurora_lumen>Eon</aurora_lumen><terraAtlas>beta</terraAtlas><atlas_zephyr>false</atlas_zephyr><eonVelox>Alpha</eonVelox><dimensions><height_cm>9.6</height_cm><width_cm>133.9</width_cm><depth_cm>84.7</depth_cm></dimensions><tags>gamma</tags><tags>zephyr</tags><tags>nova</tags><components><name>Lumen</name><qty>2</qty></components><components><name>Nova</name><qty>2</qty></components></items></root> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-hard-sft-4k",
"source_index": 377,
"source_key": "2-3",
"type": "conversion",
"used_output_marker": ""
} | <root><items><auroraOmega>zephyr</auroraOmega><emberAurora>lumen</emberAurora><delta_atlas>true</delta_atlas><zephyrVelox>zephyr</zephyrVelox><eonDelta>7785.7</eonDelta><velox_terra /><terraZephyr>Beta</terraZephyr><alpha_beta>Nova</alpha_beta><dimensions><height_cm>51.1</height_cm><width_cm>171.7</width_cm><depth_cm>2.2</depth_cm></dimensions><tags>nova</tags><tags>beta</tags><meta><key>origin</key><value>Velox</value></meta><meta><key>year</key><value>1948</value></meta></items><items><zephyrAtlas>ember</zephyrAtlas><auroraBeta>4722.5</auroraBeta><ember_omega>1088.92</ember_omega><atlasAtlas>ember</atlasAtlas><nova_alpha>9262</nova_alpha><terra_atlas>false</terra_atlas><alphaGamma>true</alphaGamma><betaLumen>delta</betaLumen><atlasBeta>zephyr</atlasBeta><dimensions><height_cm>81.6</height_cm><width_cm>278.5</width_cm><depth_cm>53.4</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>lumen</tags><tags>beta</tags><tags>gamma</tags><tags>aurora</tags><notes>Gamma</notes></items><items><atlas_terra>gamma</atlas_terra><novaTerra>alpha</novaTerra><lumen_omega>aurora</lumen_omega><aurora_nova>ember</aurora_nova><beta_terra>3126</beta_terra><alpha_atlas>Aurora</alpha_atlas><nova_ember>2341</nova_ember><eon_alpha>637</eon_alpha><atlasAtlas>Lumen</atlasAtlas><dimensions><height_cm>129.0</height_cm><width_cm>1.6</width_cm><depth_cm>88.6</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>omega</tags><tags>eon</tags><meta><key>origin</key><value>Velox</value></meta><meta><key>year</key><value>1955</value></meta><components><name>Atlas</name><qty>5</qty></components><components><name>Omega</name><qty>2</qty></components></items></root> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-hard-sft-4k",
"source_index": 236,
"source_key": "2-3",
"type": "conversion",
"used_output_marker": ""
} | <root><items><zephyrVelox>zephyr</zephyrVelox><lumen_eon>nova</lumen_eon><terra_eon>5878</terra_eon><gamma_omega>Alpha</gamma_omega><betaDelta /><nova_zephyr>2062.74</nova_zephyr><lumenGamma>terra</lumenGamma><gamma_beta>5791.16</gamma_beta><auroraNova>false</auroraNova><flags><featured>true</featured><archived>true</archived></flags><meta><key>origin</key><value>Eon</value></meta><meta><key>year</key><value>1985</value></meta></items><items><zephyrAtlas>true</zephyrAtlas><atlas_gamma>7928</atlas_gamma><delta_ember>6732.69</delta_ember><beta_lumen>9821</beta_lumen><emberGamma>true</emberGamma><dimensions><height_cm>211.4</height_cm><width_cm>167.9</width_cm><depth_cm>15.7</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>delta</tags><tags>lumen</tags><meta><key>origin</key><value>Ember</value></meta><meta><key>year</key><value>1956</value></meta></items><items><alpha_velox /><terraGamma>true</terraGamma><velox_eon>8611.59</velox_eon><lumenOmega>994.3</lumenOmega><beta_zephyr>Omega</beta_zephyr><alpha_gamma>beta</alpha_gamma><aurora_alpha>Eon</aurora_alpha><dimensions><height_cm>293.1</height_cm><width_cm>75.7</width_cm><depth_cm>23.5</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>gamma</tags><tags>gamma</tags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>1951</value></meta><components><name>Eon</name><qty>1</qty></components><components><name>Velox</name><qty>4</qty></components></items><items><atlasEmber>true</atlasEmber><terraOmega>Omega</terraOmega><velox_delta>false</velox_delta><atlasZephyr>Eon</atlasZephyr><novaNova>4808</novaNova><lumenVelox>zephyr</lumenVelox><dimensions><height_cm>150.9</height_cm><width_cm>30.0</width_cm><depth_cm>24.8</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>atlas</tags><tags>delta</tags><meta><key>origin</key><value>Nova</value></meta><meta><key>year</key><value>1994</value></meta><components><name>Eon</name><qty>5</qty></components><components><name>Velox</name><qty>4</qty></components></items></root> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-hard-sft-4k",
"source_index": 871,
"source_key": "2-3",
"type": "conversion",
"used_output_marker": ""
} | <root><items><gammaEon /><nova_lumen>ember</nova_lumen><eonAlpha>8950</eonAlpha><atlas_zephyr>Eon</atlas_zephyr><alphaEmber>true</alphaEmber><dimensions><height_cm>197.7</height_cm><width_cm>103.7</width_cm><depth_cm>5.5</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><meta><key>origin</key><value>Ember</value></meta><meta><key>year</key><value>1979</value></meta><notes /></items><items><alphaDelta>2162</alphaDelta><eon_zephyr>4652</eon_zephyr><ember_aurora>false</ember_aurora><zephyrTerra>7891</zephyrTerra><emberTerra>8665.97</emberTerra><nova_aurora>903.87</nova_aurora><aurora_nova>true</aurora_nova><dimensions><height_cm>32.4</height_cm><width_cm>50.8</width_cm><depth_cm>24.7</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>gamma</tags><tags>nova</tags><components><name>Eon</name><qty>1</qty></components><components><name>Zephyr</name><qty>1</qty></components></items><items><veloxAtlas>false</veloxAtlas><zephyr_eon>7268.02</zephyr_eon><eon_eon>4517.32</eon_eon><delta_eon>delta</delta_eon><alpha_delta>zephyr</alpha_delta><alpha_terra>false</alpha_terra><atlas_aurora>Zephyr</atlas_aurora><dimensions><height_cm>59.6</height_cm><width_cm>294.9</width_cm><depth_cm>50.6</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><notes /></items><items><deltaEmber>false</deltaEmber><alpha_delta>aurora</alpha_delta><betaEon>9451</betaEon><omega_delta>9603</omega_delta><beta_atlas>8230</beta_atlas><auroraDelta>Terra</auroraDelta><terraAtlas>zephyr</terraAtlas><lumen_atlas>terra</lumen_atlas><ember_nova>Terra</ember_nova><dimensions><height_cm>193.3</height_cm><width_cm>214.2</width_cm><depth_cm>66.1</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>1941</value></meta><notes /></items><items><betaAlpha>577.31</betaAlpha><aurora_lumen>8678</aurora_lumen><aurora_zephyr>Eon</aurora_zephyr><omega_velox>false</omega_velox><zephyrEmber>Aurora</zephyrEmber><flags><featured>true</featured><archived>false</archived></flags><tags>zephyr</tags><tags>ember</tags><tags>atlas</tags><tags>omega</tags><meta><key>origin</key><value>Velox</value></meta><meta><key>year</key><value>1962</value></meta><components><name>Atlas</name><qty>5</qty></components><components><name>Terra</name><qty>3</qty></components></items></root> |
[
{
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML.",
"role": "system"
},
{
"content": "Convert the following JSON to XML:\n{\n \"effective_date\": \"2026-01-02\",\n \"term_months\": 54,\n \"status\": \"pending\"\n}",
"role": "user"
},... | {
"complexity": "simple",
"estimated_tokens": 118,
"format": "xml",
"schema": "contract",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 425,
"source_key": "1-1",
"type": "conversion",
"used_output_marker": "Output:"
} | <?xml version="1.0" encoding="UTF-8"?>
<contract>
<effective_date>2026-01-02</effective_date>
<term_months>54</term_months>
<status>pending</status>
</contract> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 733,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | <root><items><atlas_eon>381</atlas_eon><ember_terra>4593.08</ember_terra><deltaEon>false</deltaEon><emberDelta>7137</emberDelta><atlas_beta>delta</atlas_beta><alphaGamma>898.45</alphaGamma><gammaVelox>alpha</gammaVelox><lumenAtlas>Atlas</lumenAtlas><omegaBeta>8619</omegaBeta><dimensions><height_cm>211.6</height_cm><width_cm>8.3</width_cm><depth_cm>37.3</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>terra</tags><tags>velox</tags><meta><key>origin</key><value>Gamma</value></meta><meta><key>year</key><value>1973</value></meta><components><name>Terra</name><qty>4</qty></components><components><name>Atlas</name><qty>3</qty></components></items><items><eon_delta>7128.34</eon_delta><lumenBeta /><omegaEmber>false</omegaEmber><omegaGamma>lumen</omegaGamma><zephyr_lumen>true</zephyr_lumen><nova_aurora>true</nova_aurora><flags><featured>true</featured><archived>true</archived></flags><tags>omega</tags><tags>alpha</tags><tags>delta</tags><notes>Nova</notes></items><items><beta_zephyr>true</beta_zephyr><eonVelox>4347.48</eonVelox><nova_gamma>3488</nova_gamma><lumenNova>false</lumenNova><ember_zephyr>2371.3</ember_zephyr><atlas_terra>Terra</atlas_terra><lumenAtlas>zephyr</lumenAtlas><delta_zephyr>9923.0</delta_zephyr><gamma_zephyr>Gamma</gamma_zephyr><dimensions><height_cm>6.5</height_cm><width_cm>56.2</width_cm><depth_cm>37.4</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>lumen</tags><tags>velox</tags><tags>eon</tags><tags>aurora</tags><components><name>Aurora</name><qty>5</qty></components><components><name>Delta</name><qty>4</qty></components><notes /></items><items><gamma_omega /><alpha_gamma>Eon</alpha_gamma><omegaZephyr>false</omegaZephyr><emberTerra>Atlas</emberTerra><zephyrEon>4461</zephyrEon><alpha_velox>8618.58</alpha_velox><deltaOmega /><novaNova>true</novaNova><dimensions><height_cm>134.9</height_cm><width_cm>80.0</width_cm><depth_cm>52.9</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>gamma</tags><tags>aurora</tags><meta><key>origin</key><value>Delta</value></meta><meta><key>year</key><value>1968</value></meta></items><items><delta_gamma>Eon</delta_gamma><nova_zephyr>true</nova_zephyr><zephyrAtlas>true</zephyrAtlas><atlasAtlas>1703.6</atlasAtlas><aurora_omega>6886</aurora_omega><gammaAlpha>false</gammaAlpha><lumenLumen>Alpha</lumenLumen><betaDelta>937.58</betaDelta><aurora_lumen>eon</aurora_lumen><dimensions><height_cm>174.7</height_cm><width_cm>108.4</width_cm><depth_cm>11.0</depth_cm></dimensions><tags>nova</tags><tags>atlas</tags><tags>ember</tags><meta><key>origin</key><value>Terra</value></meta><meta><key>year</key><value>1955</value></meta><components><name>Nova</name><qty>4</qty></components><components><name>Lumen</name><qty>3</qty></components></items><items><gammaLumen /><auroraNova>ember</auroraNova><lumenGamma>36</lumenGamma><omega_terra>Aurora</omega_terra><novaVelox>aurora</novaVelox><lumenTerra>Zephyr</lumenTerra><beta_zephyr>5223.91</beta_zephyr><zephyr_ember>Gamma</zephyr_ember><dimensions><height_cm>169.5</height_cm><width_cm>148.0</width_cm><depth_cm>67.4</depth_cm></dimensions><notes>Atlas</notes></items></root> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-hard-sft-4k",
"source_index": 961,
"source_key": "2-3",
"type": "conversion",
"used_output_marker": ""
} | <root><items><gamma_alpha>aurora</gamma_alpha><zephyrOmega>ember</zephyrOmega><lumenNova>5051.62</lumenNova><atlasDelta /><veloxOmega>6885</veloxOmega><dimensions><height_cm>241.8</height_cm><width_cm>71.7</width_cm><depth_cm>96.0</depth_cm></dimensions><tags>nova</tags><tags>ember</tags><tags>omega</tags><meta><key>origin</key><value>Lumen</value></meta><meta><key>year</key><value>1968</value></meta><components><name>Atlas</name><qty>4</qty></components><components><name>Alpha</name><qty>1</qty></components><notes>Gamma</notes></items><items><nova_omega /><zephyr_lumen>true</zephyr_lumen><betaTerra>false</betaTerra><eonGamma>eon</eonGamma><alphaOmega>7808.1</alphaOmega><alpha_beta>Eon</alpha_beta><flags><featured>true</featured><archived>true</archived></flags><tags>eon</tags><tags>zephyr</tags><tags>gamma</tags><tags>alpha</tags><meta><key>origin</key><value>Alpha</value></meta><meta><key>year</key><value>1926</value></meta></items><items><terra_terra>true</terra_terra><beta_nova>3410.45</beta_nova><emberDelta>false</emberDelta><emberEmber>true</emberEmber><alphaEmber /><zephyrGamma>true</zephyrGamma><zephyr_alpha>true</zephyr_alpha><auroraAurora>3720</auroraAurora><novaAlpha>aurora</novaAlpha><dimensions><height_cm>204.8</height_cm><width_cm>87.3</width_cm><depth_cm>68.9</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><components><name>Terra</name><qty>4</qty></components><components><name>Atlas</name><qty>3</qty></components></items><items><alphaAlpha>true</alphaAlpha><atlasGamma>true</atlasGamma><nova_beta>false</nova_beta><alphaBeta>Omega</alphaBeta><atlas_omega /><omega_terra>176</omega_terra><delta_atlas>gamma</delta_atlas><ember_delta>5781</ember_delta><dimensions><height_cm>260.1</height_cm><width_cm>169.9</width_cm><depth_cm>39.7</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>atlas</tags><tags>atlas</tags><tags>ember</tags><tags>delta</tags><meta><key>origin</key><value>Nova</value></meta><meta><key>year</key><value>1940</value></meta><components><name>Zephyr</name><qty>5</qty></components><components><name>Atlas</name><qty>1</qty></components></items><items><alphaLumen>4224</alphaLumen><veloxAurora>5463.21</veloxAurora><deltaAlpha>7325</deltaAlpha><omegaLumen>8993.12</omegaLumen><betaVelox>3388</betaVelox><zephyrBeta>2376</zephyrBeta><zephyr_alpha>3820.11</zephyr_alpha><terraNova /><gamma_zephyr>5353</gamma_zephyr><dimensions><height_cm>110.1</height_cm><width_cm>63.4</width_cm><depth_cm>79.9</depth_cm></dimensions><tags>gamma</tags><tags>terra</tags><tags>omega</tags><tags>velox</tags><components><name>Alpha</name><qty>5</qty></components><components><name>Delta</name><qty>4</qty></components></items><items><ember_gamma>alpha</ember_gamma><zephyr_nova /><omega_atlas>846.16</omega_atlas><alpha_nova>false</alpha_nova><zephyrVelox>false</zephyrVelox><atlasGamma>zephyr</atlasGamma><dimensions><height_cm>87.9</height_cm><width_cm>287.9</width_cm><depth_cm>14.5</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>delta</tags><tags>beta</tags><tags>ember</tags><tags>eon</tags><components><name>Nova</name><qty>3</qty></components><components><name>Aurora</name><qty>3</qty></components></items></root> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-hard-sft-4k",
"source_index": 530,
"source_key": "2-3",
"type": "conversion",
"used_output_marker": ""
} | <root><items><lumenLumen>9760.59</lumenLumen><eon_gamma>916</eon_gamma><delta_alpha>alpha</delta_alpha><alpha_eon>2797</alpha_eon><zephyr_delta>false</zephyr_delta><emberLumen>delta</emberLumen><dimensions><height_cm>226.4</height_cm><width_cm>226.1</width_cm><depth_cm>22.5</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>beta</tags><tags>terra</tags><tags>omega</tags><tags>lumen</tags><meta><key>origin</key><value>Aurora</value></meta><meta><key>year</key><value>1988</value></meta></items><items><velox_zephyr>eon</velox_zephyr><aurora_delta>1244</aurora_delta><novaDelta /><gamma_delta>beta</gamma_delta><nova_velox>1582</nova_velox><beta_nova>Delta</beta_nova><dimensions><height_cm>211.4</height_cm><width_cm>162.5</width_cm><depth_cm>63.9</depth_cm></dimensions><tags>atlas</tags><tags>nova</tags><tags>atlas</tags><tags>ember</tags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>1923</value></meta><components><name>Gamma</name><qty>1</qty></components><components><name>Terra</name><qty>2</qty></components></items><items><deltaVelox>Delta</deltaVelox><zephyrVelox>true</zephyrVelox><terraTerra>1919</terraTerra><nova_lumen>terra</nova_lumen><atlasNova>terra</atlasNova><omega_omega>terra</omega_omega><atlasAtlas>7959.3</atlasAtlas><emberAurora>zephyr</emberAurora><terraZephyr>1309.45</terraZephyr><flags><featured>false</featured><archived>false</archived></flags><meta><key>origin</key><value>Terra</value></meta><meta><key>year</key><value>1922</value></meta></items><items><alphaLumen>false</alphaLumen><atlasAlpha>atlas</atlasAlpha><eon_zephyr>Terra</eon_zephyr><alphaBeta>true</alphaBeta><gamma_alpha>false</gamma_alpha><aurora_velox>7580.87</aurora_velox><dimensions><height_cm>135.1</height_cm><width_cm>123.4</width_cm><depth_cm>93.8</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><meta><key>origin</key><value>Omega</value></meta><meta><key>year</key><value>1972</value></meta><notes>Aurora</notes></items><items><deltaLumen>2245.14</deltaLumen><velox_omega>8328</velox_omega><atlasEmber>true</atlasEmber><deltaAlpha>7227.48</deltaAlpha><deltaDelta /><ember_terra /><velox_aurora>velox</velox_aurora><beta_velox>false</beta_velox><zephyrAlpha>false</zephyrAlpha><dimensions><height_cm>182.9</height_cm><width_cm>148.0</width_cm><depth_cm>46.4</depth_cm></dimensions><flags><featured>false</featured><archived>false</archived></flags><tags>omega</tags><tags>atlas</tags><meta><key>origin</key><value>Gamma</value></meta><meta><key>year</key><value>1935</value></meta><components><name>Ember</name><qty>1</qty></components><components><name>Beta</name><qty>5</qty></components></items></root> |
[
{
"content": "You are an expert in XML format. Think step-by-step, then generate syntactically perfect XML.",
"role": "system"
},
{
"content": "Convert the following JSON to XML:\n{\n \"note_id\": \"CN-4752661\",\n \"patient\": {\n \"mrn\": \"MRN-526036\",\n \"age\": 84,\n \"gender\": \"M... | {
"complexity": "medium",
"estimated_tokens": 200,
"format": "xml",
"schema": "clinical_note",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 2640,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | <?xml version="1.0" encoding="UTF-8"?>
<clinical_note>
<note_id>CN-4752661</note_id>
<patient>
<mrn>MRN-526036</mrn>
<age>84</age>
<gender>M</gender>
</patient>
<encounter_date>2026-01-06</encounter_date>
<chief_complaint>headache</chief_complaint>
<vitals>
<bp>124/107</bp>
<hr>75</hr>
<temp_f>101.2</temp_f>
</vitals>
<assessment>
<problem>diabetes</problem>
<icd10>J43</icd10>
</assessment>
<assessment>
<problem>hypertension</problem>
<icd10>K44</icd10>
</assessment>
</clinical_note> |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following JSON into well-formed XML.\nConstraints:\n- Use child elements only (no XML attributes).\n- Preserve key names and their letter case exactly.\n- Represent lists by repeating child elements in order.\nReturn ONLY XML.\n\nJSON:\n... | {
"complexity": "",
"estimated_tokens": 0,
"format": "xml",
"schema": "",
"source_dataset": "daichira/structured-3k-mix-sft",
"source_index": 2209,
"source_key": "2-1",
"type": "conversion",
"used_output_marker": ""
} | <root><items><terra_delta>9172.28</terra_delta><zephyr_gamma>3664</zephyr_gamma><zephyrOmega>Atlas</zephyrOmega><aurora_atlas>4329</aurora_atlas><omega_nova>lumen</omega_nova><eonAlpha>Aurora</eonAlpha><lumen_nova>5953.04</lumen_nova><eonOmega>gamma</eonOmega><emberLumen>nova</emberLumen><dimensions><height_cm>293.6</height_cm><width_cm>170.3</width_cm><depth_cm>28.0</depth_cm></dimensions><flags><featured>true</featured><archived>true</archived></flags><tags>terra</tags><tags>beta</tags><tags>gamma</tags><tags>omega</tags></items><items><gamma_ember>velox</gamma_ember><alphaDelta>1420</alphaDelta><omega_beta>true</omega_beta><lumen_velox>true</lumen_velox><delta_zephyr>beta</delta_zephyr><delta_velox>Velox</delta_velox><veloxEon>2430</veloxEon><aurora_alpha>false</aurora_alpha><atlasOmega>lumen</atlasOmega><dimensions><height_cm>251.9</height_cm><width_cm>294.3</width_cm><depth_cm>58.6</depth_cm></dimensions><flags><featured>true</featured><archived>false</archived></flags><tags>atlas</tags><tags>aurora</tags><tags>velox</tags><meta><key>origin</key><value>Lumen</value></meta><meta><key>year</key><value>2019</value></meta><components><name>Ember</name><qty>1</qty></components><components><name>Eon</name><qty>4</qty></components></items><items><beta_ember>delta</beta_ember><terraTerra>Eon</terraTerra><alpha_alpha>false</alpha_alpha><ember_ember>6797</ember_ember><emberVelox>8752.25</emberVelox><auroraEmber>true</auroraEmber><dimensions><height_cm>149.3</height_cm><width_cm>287.7</width_cm><depth_cm>99.5</depth_cm></dimensions><flags><featured>false</featured><archived>true</archived></flags><tags>nova</tags><tags>zephyr</tags><meta><key>origin</key><value>Zephyr</value></meta><meta><key>year</key><value>2007</value></meta><components><name>Zephyr</name><qty>5</qty></components><components><name>Alpha</name><qty>5</qty></components><notes>Terra</notes></items></root> |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Reformat the data below from JSON to YAML:\n{\n \"contract_id\": \"CTR-933130\",\n \"parties\": [\n {\n \"name\": \"Jackson Ltd\",\n \"role... | {
"complexity": "complex",
"estimated_tokens": 124,
"format": "yaml",
"schema": "contract",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 2947,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | contract_id: CTR-933130
parties:
- name: Jackson Ltd
role: party_a
- name: Jimenez and Sons
role: party_b
effective_date: '2026-01-05'
term_months: 13
value: 840226
status: pending |
[
{
"content": "",
"role": "system"
},
{
"content": "Convert the following json 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\nJSON:\n{\"items\": [{\"betaLumen\": true, \"e... | {
"complexity": "",
"estimated_tokens": 0,
"format": "yaml",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 3189,
"source_key": "2-2",
"type": "conversion",
"used_output_marker": ""
} | items:
- betaLumen: true
ember_velox: 5649.75
veloxNova: alpha
eon_zephyr: 242.2
eon_terra: false
omegaEon: false
dimensions:
height_cm: 136.5
width_cm: 292.2
depth_cm: 5.8
flags:
featured: false
archived: false
meta:
- key: origin
value: Terra
- key: year
value: 2023
notes: Lumen
- beta_omega: lumen
terra_velox: zephyr
lumenLumen: 3479
deltaBeta: 4433
veloxZephyr: 7522.08
zephyrGamma: true
alpha_ember: 9474
betaAurora: false
dimensions:
height_cm: 207.0
width_cm: 144.0
depth_cm: 68.9
flags:
featured: true
archived: true
tags:
- omega
- terra
- atlas
- ember
- aurora_alpha: zephyr
aurora_velox: 8849
zephyrAurora: 5110.8
emberOmega: 6647.06
eon_delta: ''
dimensions:
height_cm: 149.6
width_cm: 245.8
depth_cm: 23.4
flags:
featured: true
archived: true
tags:
- alpha
- atlas
meta:
- key: origin
value: Zephyr
- key: year
value: 1924
components:
- name: Eon
qty: 4
- name: Omega
qty: 4 |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"company\": \"Adams PLC\",\n \"revenue\": 374017,\n \"profit\": 17817\n}",
"role": "user"
},
... | {
"complexity": "medium",
"estimated_tokens": 156,
"format": "yaml",
"schema": "financial_report",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 1982,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | company: Adams PLC
revenue: 374017
profit: 17817 |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"company\": \"Montoya and Sons\",\n \"revenue\": 966823,\n \"profit\": 8052\n}",
"role": "user"
... | {
"complexity": "medium",
"estimated_tokens": 158,
"format": "yaml",
"schema": "financial_report",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3918,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | company: Montoya and Sons
revenue: 966823
profit: 8052 |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"experiment_id\": \"EXP-638785\",\n \"title\": \"Analysis of first\",\n \"metrics\": {\n \"accura... | {
"complexity": "simple",
"estimated_tokens": 186,
"format": "yaml",
"schema": "experiment_result",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 3031,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | experiment_id: EXP-638785
title: Analysis of first
metrics:
accuracy: 0.7113
loss: 0.3194
epoch: 13
config:
batch_size: 128
optimizer: adam
lr: 0.001 |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Transform this JSON data into YAML format:\n{\n \"review_id\": \"REV-5830331\",\n \"product_id\": \"PROD-533872\",\n \"user_id\": \"6451ace3-b86b-4a21-... | {
"complexity": "medium",
"estimated_tokens": 170,
"format": "yaml",
"schema": "customer_review",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 1627,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | review_id: REV-5830331
product_id: PROD-533872
user_id: 6451ace3-b86b-4a21-8b32-cdd194ca7aca
rating: 5
title: Ok successful resource my.
content: 'Million example record movie real watch catch.
Together life doctor size. There seek maintain face. Serious recently since western
attention upon loss.'
date: '2026-01-01'
verified_purchase: false
helpful_votes: 2 |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Transform this data from JSON to YAML:\n{\n \"txn\": \"c4317618-4baa-4293-87c0-6199aecbcef4\",\n \"amount\": 132.21,\n \"status\": \"completed\"\... | {
"complexity": "medium",
"estimated_tokens": 161,
"format": "yaml",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 1301,
"source_key": "1-3",
"type": "conversion",
"used_output_marker": "Output:"
} | txn: c4317618-4baa-4293-87c0-6199aecbcef4
amount: 132.21
status: completed |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following JSON to YAML:\n{\n \"note_id\": \"CN-9635412\",\n \"patient\": {\n \"mrn\": \"MRN-739596\",\n \"age\": 36,\n \"gender\": ... | {
"complexity": "medium",
"estimated_tokens": 151,
"format": "yaml",
"schema": "clinical_note",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 520,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | note_id: CN-9635412
patient:
mrn: MRN-739596
age: 36
gender: F
encounter_date: '2026-01-01'
chief_complaint: chest pain
vitals:
bp: 180/102
hr: 103
temp_f: 99.3
assessment:
- problem: diabetes
icd10: K43
- problem: hypertension
icd10: J43
- problem: hypertension
icd10: K99 |
[
{
"content": "You are an expert in YAML format. Think step-by-step, then generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Convert the following JSON to YAML:\n{\n \"openapi\": \"3.0.0\",\n \"info\": {\n \"title\": \"Automated asymmetric neural-net API\",\n \"version\"... | {
"complexity": "medium",
"estimated_tokens": 168,
"format": "yaml",
"schema": "api_specification",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 1966,
"source_key": "1-4",
"type": "conversion",
"used_output_marker": "Output:"
} | openapi: 3.0.0
info:
title: Automated asymmetric neural-net API
version: 1.0.0
paths:
/network:
get:
summary: Over company which lose can go again.
parameters:
- name: param0
in: query
type: string
responses:
'200':
description: Success
'400':
description: Bad Request |
[
{
"content": "You are an expert in YAML format. Analyze the data structure and generate syntactically perfect YAML.",
"role": "system"
},
{
"content": "Reformat the JSON below into YAML:\n{\n \"experiment_id\": \"EXP-750115\",\n \"title\": \"Analysis of art\",\n \"metrics\": {\n \"accuracy\": ... | {
"complexity": "complex",
"estimated_tokens": 280,
"format": "yaml",
"schema": "experiment_result",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2995,
"source_key": "1-2",
"type": "conversion",
"used_output_marker": "Output:"
} | experiment_id: EXP-750115
title: Analysis of art
metrics:
accuracy: 0.8804
loss: 0.4258
epoch: 67
config:
batch_size: 64
optimizer: adam
lr: 0.001
meta_info:
generated_at: '2026-01-22T04:03:06.457781'
version: v2.0
tags:
- agree
- small
- tax
- participant
- lose
audit_log:
- action: created
by: chadfowler
timestamp: '2001-12-16T07:09:33.116073'
- action: created
by: amandaprice
timestamp: '2025-03-14T03:49:51.874209'
- action: created
by: susanmeyers
timestamp: '1973-07-26T23:46:43.783834' |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Generate error log data in CSV format.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create error log in CSV\n2. Complexity: complex - 8... | {
"complexity": "complex",
"estimated_tokens": 434,
"format": "csv",
"schema": "error_log",
"source_dataset": "u-10bei/structured_data_with_cot_dataset",
"source_index": 1429,
"source_key": "1-6",
"type": "generation",
"used_output_marker": "Output:"
} | abstract,authors,citations,context_request_id,context_user_id,error_id,keywords,level,message,paper_id,publication_doi,publication_venue,publication_year,service,stack_trace,timestamp,title
,,,948f15a3-3094-4de2-99f4-ecd9df3b83a7,955b3bbb-a716-4190-bf6f-509a0a52a429,cb5a37ce-f3e4-475c-8998-cde42de0eab8,,ERROR,Music good reality expert similar character theory.,,,,,generalService,"[""at firm.py:447"", ""at fine.py:142""]",2026-01-04T10:26:54.092962,
Ten arm note story condition law federal. Go growth standard appear include. Community yet Democrat ,"[{""name"": ""Christine Marquez"", ""affiliation"": ""Fischer, Brewer and Klein"", ""email"": ""larnold@example",204,,,,"[""positive"", ""another"", ""north"", ""performance""]",,,arXiv:2022.64188,10.1730/kQJG,Science,2020,,,,Synergistic homogeneous strategy
Risk beyond note process sell hard. Detail impact hotel one way five hope art. Remember capital lose,"[{""name"": ""Jeremy Baxter"", ""affiliation"": ""Ray-Franco"", ""email"": ""dominiquegriffin@example.com""}, {""",428,,,,"[""fine"", ""language"", ""cover"", ""hand""]",,,arXiv:2024.16062,10.5620/DVRs,Science,2020,,,,Digitized secondary help-desk
Our stand training rule threat. Live throughout a figure serve benefit high. Cover seven decision di,"[{""name"": ""Jacqueline Daniel"", ""affiliation"": ""Brooks, Dixon and Edwards"", ""email"": ""glee@example.or",217,,,,"[""third"", ""skill"", ""respond""]",,,arXiv:2022.18402,10.9582/nDIP,Cell,2022,,,,Visionary regional encoding |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Produce a CSV document for a news article.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create news article in CSV\n2. Complexity: medi... | {
"complexity": "medium",
"estimated_tokens": 284,
"format": "csv",
"schema": "news_article",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 1399,
"source_key": "1-4",
"type": "generation",
"used_output_marker": "Output:"
} | article_id,author,content,headline,published,section,shares,tags,views
ART-3458023,John Richardson,Century hot boy money available. Article plant threat sit explain. Represent quality value dream com,Future-proofed systemic matrix,2026-01-01T02:41:45.411141,Sports,3561,"[""my"", ""piece"", ""operation""]",28967
ART-6086843,Lori Mcdonald,Almost letter best apply item American economy. Upon discussion at institution parent appear out. Ju,Front-line value-added superstructure,2026-01-04T21:13:24.749278,Tech,206,"[""significant"", ""as"", ""significant"", ""event""]",69263
ART-8551051,James Terry,Film four language nature gun assume arrive less. Debate likely imagine item single as coach. Smile ,Sharable fault-tolerant open architecture,2026-01-03T16:54:57.289752,Politics,865,"[""its"", ""statement"", ""article""]",39126 |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Create a CSV representation of news article.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The news_article should co... | {
"complexity": "medium",
"estimated_tokens": 205,
"format": "csv",
"schema": "news_article",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3384,
"source_key": "1-2",
"type": "generation",
"used_output_marker": "Output:"
} | headline,body,author
Republican respond individual town east.,"Appear religious Republican member from store. Store note benefit spring ask key energy. House identify back.
My seek suggest care movement anyone. Difference control perform good.",Tommy Porter |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Output product listing as CSV.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create product listing in CSV\n2. Complexity: medium - 5-8 ... | {
"complexity": "medium",
"estimated_tokens": 233,
"format": "csv",
"schema": "product_listing",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 169,
"source_key": "1-4",
"type": "generation",
"used_output_marker": "Output:"
} | category,currency,is_available,name,price,product_id,rating,reviews,specs_dimensions,specs_weight_kg,stock
electronics,USD,True,Function-based even-keeled website,873.99,PROD-145534,4.14,457,63x47x52cm,41.73,463
books,USD,True,Cross-platform bifurcated system engine,488.23,PROD-595931,4.37,635,86x97x15cm,11.54,574
books,USD,True,Implemented value-added Graphic Interface,430.42,PROD-906523,2.02,280,80x76x27cm,49.35,372
clothing,USD,True,Public-key content-based ability,440.38,PROD-910018,1.05,266,88x18x61cm,30.59,958
electronics,USD,True,Compatible mobile monitoring,725.49,PROD-113963,1.88,707,60x16x45cm,18.63,718 |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Create a CSV representation of sales analytics.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create sales analytics in CSV\n2. Complexi... | {
"complexity": "simple",
"estimated_tokens": 302,
"format": "csv",
"schema": "sales_analytics",
"source_dataset": "u-10bei/structured_data_with_cot_dataset",
"source_index": 2287,
"source_key": "1-6",
"type": "generation",
"used_output_marker": "Output:"
} | abstract,authors,citations,keywords,paper_id,period,publication_doi,publication_venue,publication_year,title,top_products,total_revenue
,,,,,April 2024,,,,,"[{""sku"": ""SKU-5457"", ""sales"": 74706}, {""sku"": ""SKU-4965"", ""sales"": 123327}, {""sku"": ""SKU-8615"", ""sal",9313478
Tree theory candidate want show. Goal show fly deal. Those herself attack as.,"[{""name"": ""Lisa Floyd"", ""affiliation"": ""Weaver and Sons"", ""email"": ""josephbrown@example.org""}, {""nam",62,"[""so"", ""work"", ""daughter""]",arXiv:2021.42876,,10.8820/NfOw,Science,2024,Proactive even-keeled algorithm,,
Suggest section professional see mission every. Evidence military take catch business. Position arti,"[{""name"": ""Luke Cook"", ""affiliation"": ""Higgins Ltd"", ""email"": ""obrienshawna@example.org""}, {""name"": ",474,"[""really"", ""government"", ""for"", ""recent""]",arXiv:2022.61488,,10.2028/QQys,Science,2023,Assimilated attitude-oriented Internet solution,, |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Generate prescription data in CSV format.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create prescription in CSV\n2. Complexity: mediu... | {
"complexity": "medium",
"estimated_tokens": 209,
"format": "csv",
"schema": "prescription",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 2547,
"source_key": "1-1",
"type": "generation",
"used_output_marker": "Output:"
} | date,medications,patient_mrn,prescriber,rx_id
2026-01-04,"[{""name"": ""Metformin"", ""dosage"": ""20mg"", ""frequency"": ""TID"", ""quantity"": 30}, {""name"": ""Metformin"", ",MRN-277514,Timothy Goodman,RX-9442688
2026-01-05,"[{""name"": ""Atorvastatin"", ""dosage"": ""10mg"", ""frequency"": ""TID"", ""quantity"": 90}]",MRN-305050,Jonathan Bates,RX-4215789
2026-01-03,"[{""name"": ""Lisinopril"", ""dosage"": ""5mg"", ""frequency"": ""TID"", ""quantity"": 90}, {""name"": ""Metformin"", ",MRN-161836,Michael Nguyen,RX-4591569 |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Output transaction record as CSV.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create transaction record in CSV\n2. Complexity: medium ... | {
"complexity": "medium",
"estimated_tokens": 307,
"format": "csv",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 2623,
"source_key": "1-1",
"type": "generation",
"used_output_marker": "Output:"
} | customer_id,items,payment_method,subtotal,tax,timestamp,total,txn_id
242fd3fb-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
87fb8358-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
977bd55e-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
3c39f72c-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 |
[
{
"content": "You are an expert in CSV format. Analyze the data structure and generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Output structured data for course_syllabus using CSV.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The course_syllab... | {
"complexity": "simple",
"estimated_tokens": 157,
"format": "csv",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 956,
"source_key": "1-3",
"type": "generation",
"used_output_marker": "Output:"
} | course,weeks,credits
Proactive executive customer loyalty,8,3 |
[
{
"content": "You are an expert in CSV format. Think step-by-step, then generate syntactically perfect CSV.",
"role": "system"
},
{
"content": "Generate financial report data in CSV format.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create financial report in CSV\n2. Complexit... | {
"complexity": "medium",
"estimated_tokens": 182,
"format": "csv",
"schema": "financial_report",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_v2",
"source_index": 178,
"source_key": "1-5",
"type": "generation",
"used_output_marker": "Output:"
} | company,eps,expenses,metrics_profit_margin,metrics_roe,net_income,quarter,revenue,ticker
"Barnett, Snyder and Gonzalez",6.98,47547720,5.43,17.06,16972865,Q1 2022,3959468,AVGD
"Glenn, Clayton and Lewis",3.56,16662737,28.85,14.63,15955726,Q4 2022,42333728,SQON
Levine Group,8.4,61998494,13.34,5.95,10217609,Q2 2023,11391733,BRBO
"Roberts, Walker and Gallagher",2.69,11930419,6.21,5.95,19670364,Q1 2020,75546237,NFAA |
[
{
"content": "",
"role": "system"
},
{
"content": "Extract the following attributes from text and output CSV.\nReturn ONLY CSV.\n\nATTRIBUTES:\nbeta_atlas, betaOmega, novaDelta, eonAlpha, zephyr_velox, atlasEon\n\nTEXT:\nbeta_atlas: True | betaOmega: True | novaDelta: 4878.34 | eonAlpha: True | zeph... | {
"complexity": "",
"estimated_tokens": 0,
"format": "csv",
"schema": "",
"source_dataset": "daichira/structured-5k-mix-sft",
"source_index": 1001,
"source_key": "2-2",
"type": "generation",
"used_output_marker": ""
} | atlasEon,betaOmega,beta_atlas,eonAlpha,novaDelta,zephyr_velox
839.34,true,true,true,4878.34,nova |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Output structured data for experiment_result using JSON.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The experime... | {
"complexity": "complex",
"estimated_tokens": 338,
"format": "json",
"schema": "experiment_result",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 3703,
"source_key": "1-2",
"type": "generation",
"used_output_marker": "Output:"
} | {
"experiment_id": "EXP-436797",
"title": "Analysis of southern",
"metrics": {
"accuracy": 0.8346,
"loss": 0.0432,
"epoch": 69
},
"config": {
"batch_size": 64,
"optimizer": "adam",
"lr": 0.001
},
"meta_info": {
"generated_at": "2026-01-22T04:03:06.756426",
"version": "v5.0",
"tags": [
"man",
"interesting",
"seven",
"able",
"station"
]
},
"audit_log": [
{
"action": "created",
"by": "saunderslaura",
"timestamp": "2006-10-01T11:45:31.111840"
},
{
"action": "created",
"by": "jeremyparks",
"timestamp": "1972-05-29T19:06:07.196206"
},
{
"action": "created",
"by": "barbara53",
"timestamp": "2018-08-16T05:36:00.598648"
}
]
} |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Output structured data for random_structured_data using JSON.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The ran... | {
"complexity": "medium",
"estimated_tokens": 247,
"format": "json",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 548,
"source_key": "1-3",
"type": "generation",
"used_output_marker": "Output:"
} | {
"random_content": [
"less",
[
{
"speak": "look",
"student_1": [
47,
null,
null,
false
],
"again_2": [
9.53,
"matter"
],
"television_3": [
"manage",
"rate",
null,
null
]
},
{
"force": "decade"
}
],
"night",
"eight",
"leg"
]
} |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Create a JSON representation of contract.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The contract should contain... | {
"complexity": "medium",
"estimated_tokens": 169,
"format": "json",
"schema": "contract",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v4",
"source_index": 2605,
"source_key": "1-2",
"type": "generation",
"used_output_marker": "Output:"
} | {
"contract": "synergize viral portals",
"parties": [
"Becker, Barrett and Neal",
"Anderson LLC"
],
"signed": false
} |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Output structured data for research_paper using JSON.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The research_pa... | {
"complexity": "medium",
"estimated_tokens": 333,
"format": "json",
"schema": "research_paper",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 2622,
"source_key": "1-3",
"type": "generation",
"used_output_marker": "Output:"
} | {
"paper_id": "arXiv:2021.35688",
"title": "Upgradable solution-oriented info-mediaries",
"authors": [
{
"name": "Stephanie Hawkins",
"affiliation": "Boyd, Dunn and Key",
"email": "kathrynramos@example.com"
},
{
"name": "Kevin Smith",
"affiliation": "Ali PLC",
"email": "colton25@example.com"
},
{
"name": "Jennifer Winters",
"affiliation": "Adams, Hopkins and Hill",
"email": "sarah54@example.org"
}
],
"abstract": "Take husband agreement perhaps source toward. Especially through environment whose.\nAdmit billion brother will high fast.",
"keywords": [
"say",
"civil",
"shake"
],
"publication": {
"venue": "Science",
"year": 2021,
"doi": "10.5074/GVrX"
}
} |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Produce a JSON document for a api specification.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create api specification in JSON\n2. Co... | {
"complexity": "medium",
"estimated_tokens": 219,
"format": "json",
"schema": "api_specification",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v2",
"source_index": 2758,
"source_key": "1-1",
"type": "generation",
"used_output_marker": "Output:"
} | {
"openapi": "3.0.0",
"info": {
"title": "Reactive exuding frame API",
"version": "1.0.0"
},
"paths": {
"/second": {
"get": {
"summary": "Life century work throughout however miss another.",
"parameters": [
{
"name": "param0",
"in": "query",
"type": "string"
}
],
"responses": {
"200": {
"description": "Success"
},
"400": {
"description": "Bad Request"
}
}
}
}
}
} |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Produce a JSON document for a error log.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create error log in JSON\n2. Complexity: simple... | {
"complexity": "simple",
"estimated_tokens": 168,
"format": "json",
"schema": "error_log",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_v2",
"source_index": 145,
"source_key": "1-5",
"type": "generation",
"used_output_marker": "Output:"
} | {
"message": "Dream fly news issue.",
"stack_trace": [
"at week.py:496",
"at myself.py:219",
"at whether.py:93"
],
"error_id": "c5a9beb6-d92a-46c1-bb51-b9ca198b3e17",
"timestamp": "2026-01-06T09:43:34.632289",
"context": {
"user_id": "708e5cce-8d3e-4c5a-bb69-2cca97fb0cf9",
"request_id": "70967ad7-9312-4104-b17a-0cc0831fa14f"
}
} |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Produce a JSON document for a course syllabus.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create course syllabus in JSON\n2. Comple... | {
"complexity": "simple",
"estimated_tokens": 238,
"format": "json",
"schema": "course_syllabus",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_v2",
"source_index": 138,
"source_key": "1-5",
"type": "generation",
"used_output_marker": "Output:"
} | {
"schedule": [
{
"week": 1,
"topic": "create"
},
{
"week": 2,
"topic": "should"
},
{
"week": 3,
"topic": "within"
},
{
"week": 4,
"topic": "computer"
},
{
"week": 5,
"topic": "interest"
},
{
"week": 6,
"topic": "loss"
},
{
"week": 7,
"topic": "this"
},
{
"week": 8,
"topic": "walk"
},
{
"week": 9,
"topic": "girl"
},
{
"week": 10,
"topic": "without"
}
],
"course_id": "CRS-8331",
"credits": 3,
"instructor": "James Castillo"
} |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Produce a JSON document for a transaction record.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create transaction record in JSON\n2. ... | {
"complexity": "complex",
"estimated_tokens": 214,
"format": "json",
"schema": "transaction_record",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_v2",
"source_index": 917,
"source_key": "1-5",
"type": "generation",
"used_output_marker": "Output:"
} | {
"txn_id": "TXN-79890084",
"customer_id": "4c9f9f8a-3fb5-41bc-8703-bf6196091515",
"timestamp": "2026-01-06T09:43:29.757714",
"items": [
{
"sku": "SKU-50400",
"qty": 4,
"price": 80.89
},
{
"sku": "SKU-85515",
"qty": 5,
"price": 367.59
},
{
"sku": "SKU-41832",
"qty": 5,
"price": 178.88
},
{
"sku": "SKU-38315",
"qty": 3,
"price": 240.63
}
],
"subtotal": 788.47,
"tax": 5.52,
"total": 1195.64,
"payment_method": "paypal"
} |
[
{
"content": "You are an expert in JSON format. Analyze the data structure and generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Generate random structured data data in JSON format.",
"role": "user"
},
{
"content": "Approach:\n1. Define the schema: The random_struc... | {
"complexity": "medium",
"estimated_tokens": 178,
"format": "json",
"schema": "random_structured_data",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512_v5",
"source_index": 2958,
"source_key": "1-3",
"type": "generation",
"used_output_marker": "Output:"
} | {
"random_content": [
{
"evening": 27,
"value_1": null,
"southern_2": 20
},
[
"most"
],
{
"man": false
}
]
} |
[
{
"content": "You are an expert in JSON format. Think step-by-step, then generate syntactically perfect JSON.",
"role": "system"
},
{
"content": "Generate research paper data in JSON format.",
"role": "user"
},
{
"content": "Approach:\n1. Task: Create research paper in JSON\n2. Complexit... | {
"complexity": "simple",
"estimated_tokens": 169,
"format": "json",
"schema": "research_paper",
"source_dataset": "u-10bei/structured_data_with_cot_dataset_512",
"source_index": 3347,
"source_key": "1-4",
"type": "generation",
"used_output_marker": "Output:"
} | {
"title": "Up-sized exuding service-desk",
"authors": [
{
"name": "Charles Crosby DDS",
"affiliation": "Jones, Mclaughlin and Hoover",
"email": "teresa49@example.org"
},
{
"name": "Jennifer Nelson",
"affiliation": "Nichols-Schmitt",
"email": "jhowell@example.net"
}
],
"paper_id": "arXiv:2024.39977"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.