messages listlengths 3 3 | metadata dict | _output_text stringlengths 23 3.54k |
|---|---|---|
[
{
"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 |
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 10