Datasets:

livebench

/

data_analysis

like 0

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[13429383], [13428821], [13428264], [13429035], [13429397]] \n Classes: ['arrest' 'latitude' 'location_description' ':@computed_region_rpca_8um6'\n ':@computed_region_43wa_7qmu' 'updated_on' 'primary_type'\n ':@computed_region_awaf_s7ux' ':@computed_region_d9mm_jgwp' 'beat'\n ':@computed_region_vrxf_vc4k' ':@computed_region_6mkv_f3dw' 'longitude'\n 'domestic' 'description' 'y_coordinate' 'block' 'id' 'x_coordinate'\n 'year' ':@computed_region_bdys_3d7i' 'ward' 'location' 'district'\n 'fbi_code' ':@computed_region_8hcu_yrd4' 'date' 'iucr'\n ':@computed_region_d3ds_rm58' 'case_number' 'community_area'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1995], [1964], [1986], [2022], [1985]] \n Classes: ['Maize yield' 'code country' 'Year' 'country'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[2.947], [2.6497], [-2.0369], [-190.1799], [-18.7659]] \n Classes: ['REVS5m20' 'Beta252' 'Price1M' 'PVT6' 'ACD6' 'LossVariance60'\n 'InformationRatio20' 'REVS60' 'SharpeRatio120' 'VEMA5' 'Volumn3M'\n 'GainVariance60' 'EMV6' 'BackwardADJ' 'VSTD10' 'VOL240' 'RC24' 'Aroon'\n 'ROC6' 'UpRVI' 'SharpeRatio20' 'VOL60' 'RVI' 'Volumn1M' 'TreynorRatio60'\n 'VROC6' 'InformationRatio60' 'TVMA6' 'RSTR12' 'VEMA12' 'AD20' 'BollUp'\n 'CCI20' 'Ulcer5' 'RSTR504' 'minusDI' 'VMACD' 'RSI' 'DIFF' 'DAVOL20'\n 'ARBR' 'ADXR' 'STOA' 'GainLossVarianceRatio120' 'APBMA' 'DIZ' 'TVMA20'\n 'STOM' 'STOQ' 'AD6' 'EMA12' 'VOSC' 'ChaikinVolatility' 'SBM'\n 'MoneyFlow20' 'SharpeRatio60' 'CoppockCurve' 'BollDown' 'REVS120'\n 'CmraCNE5' 'BIAS60' 'Kurtosis20' 'REVS5m60' 'TreynorRatio20' 'DDNSR'\n 'trend' 'MA10Close' 'MA120' 'REVS5Indu1' 'DBCD' 'Beta20' 'Volatility'\n 'Alpha20' 'ADTM' 'TOBT' 'UOS' 'PLRC12' 'DASTD' 'AR' 'PVI' 'BR' 'Rank1M'\n 'Skewness' 'PEHist250' 'VR' 'EMA20' 'ILLIQUIDITY' 'MA10RegressCoeff12'\n 'MA10RegressCoeff6' 'Variance60' 'MAWVAD' 'BIAS5' 'Beta120' 'PLRC6'\n 'CCI5' 'VOL10' 'Variance20' 'AD' 'TRIX10' 'GainLossVarianceRatio60'\n 'KlingerOscillator' 'ChandeSD' 'TVSTD6' 'AroonDown' 'REVS10' 'MACD'\n 'MTMMA' 'PEHist20' 'OBV20' 'VOL120' 'DHILO' 'MA60' 'OBV6' 'MFI' 'PSY'\n 'ADX' 'ticker' 'KDJ_D' 'PEHist120' 'GainVariance20' 'CCI10' 'DDNCR'\n 'VOL5' 'DIF' 'BBIC' 'Alpha60' 'GainVariance120' 'AroonUp' 'VEMA10' 'EMA5'\n 'WVAD' 'Ulcer10' 'ATR6' 'LossVariance20' 'BBI' 'LossVariance120'\n 'EARNMOM' 'OBV' 'VEMA26' 'EMV14' 'ChaikinOscillator' 'TEMA10' 'TRIX5'\n 'Variance120' 'NVI' 'DAVOL10' 'VROC12' 'HSIGMA' 'SwingIndex' 'MTM'\n 'InformationRatio120' 'PEHist60' 'month' 'VSTD20' 'ATR14' 'Kurtosis120'\n 'RealizedVolatility' 'Hurst' 'REVS20Indu1' 'Beta60' 'DEA' 'KDJ_J' 'RC12'\n 'REVS5' 'BIAS10' 'Price1Y' 'VDEA' 'BullPower' 'HsigmaCNE5' 'EMA120'\n 'REVS250' 'MA5' 'EMA26' 'Price3M' 'VDIFF' 'CMRA' 'ChandeSU' 'MA20' 'SRMI'\n 'TVSTD20' 'REVS20' 'TEMA5' 'Kurtosis60' 'HBETA' 'TreynorRatio120'\n 'DownRVI' 'MA10' 'FiftyTwoWeekHigh' 'EMA10' 'DVRAT' 'BearPower' 'CCI88'\n 'JDQS20' 'MassIndex' 'CMO' 'EMA60' 'ASI' 'BIAS20' 'ARC' 'PVT12' 'ACD20'\n 'Elder' 'Alpha120' 'KDJ_K' 'DDI' 'ROC20' 'DAVOL5' 'CR20' 'VOL20' 'PVT'\n 'plusDI' 'GainLossVarianceRatio20' 'STM' 'RSTR24'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[\"{'url': 'http://img.scoop.co.nz/stories/images/1701/325b73cba7c727ae495c.jpeg'}\"], [nan], [nan], [nan], [\"{'url': 'http://www.stuff.co.nz/content/dam/images/1/6/p/4/g/6/image.related.StuffLandscapeSixteenByNine.620x349.16otlx.png/1441253972454.jpg'}\"]] \n Classes: ['storm_name' 'event_id' 'injury_count' 'event_import_id'\n 'location_description' 'notes' 'submitted_date' 'landslide_setting'\n 'event_title' 'landslide_size' 'photo_link' 'source_link' 'latitude'\n 'event_import_source' 'gazeteer_closest_point' 'landslide_category'\n 'longitude' 'fatality_count' 'landslide_trigger' 'country_code'\n 'last_edited_date' 'event_date' 'gazeteer_distance' 'location_accuracy'\n 'source_name' 'event_description' 'admin_division_population'\n 'created_date' 'country_name' 'admin_division_name'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1995], [1964], [1986], [2022], [1985]] \n Classes: ['country' 'code country' 'Year' 'Maize yield'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[5], [5], [2], [2], [4]] \n Classes: ['grade_level' 'father_profession' 'veggies_day' 'turkey_calories'\n 'type_sports' 'ideal_diet_coded' 'calories_scone' 'fav_cuisine'\n 'exercise' 'soup' 'drink' 'ethnic_food' 'healthy_feeling'\n 'waffle_calories' 'diet_current_coded' 'Gender' 'eating_changes_coded1'\n 'calories_chicken' 'cuisine' 'coffee' 'mother_education'\n 'comfort_food_reasons' 'fav_cuisine_coded' 'indian_food' 'vitamins'\n 'pay_meal_out' 'life_rewarding' 'mother_profession' 'weight'\n 'father_education' 'comfort_food' 'thai_food' 'self_perception_weight'\n 'income' 'employment' 'breakfast' 'healthy_meal' 'ideal_diet'\n 'marital_status' 'calories_day' 'GPA' 'eating_changes' 'greek_food'\n 'fav_food' 'parents_cook' 'tortilla_calories' 'fries' 'diet_current'\n 'italian_food' 'persian_food' 'cook' 'eating_changes_coded'\n 'meals_dinner_friend' 'on_off_campus' 'eating_out' 'sports'\n 'food_childhood' 'fruit_day' 'nutritional_check'\n 'comfort_food_reasons_coded' 'comfort_food_reasons_coded.1'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['RC'], ['CC'], ['CC'], ['TI'], ['TI']] \n Classes: ['titular' 'rangobeneficioconsolidadoasignado' 'pais'\n 'fechainscripcionbeneficiario' 'rangoultimobeneficioasignado'\n 'codigodepartamentoatencion' 'discapacidad' 'nombremunicipioatencion'\n 'tipodocumento' 'nombredepartamentoatencion' 'tipoasignacionbeneficio'\n 'rangoedad' 'tipobeneficio' 'etnia' 'codigomunicipioatencion'\n 'estadobeneficiario' 'fechaultimobeneficioasignado' 'tipopoblacion'\n 'nivelescolaridad' 'genero' 'cantidaddebeneficiarios' 'bancarizado'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[41.509998], [57.52], [48.27], [48.119999], [40.880001]] \n Classes: ['Volume' 'High' 'Date' 'Low' 'Close' 'Open'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Thailand'], ['Vietnam'], ['Mexico'], ['Colombia'], ['Honduras']] \n Classes: ['Expiration' 'Acidity' 'Aroma' 'Balance' 'Clean.Cup' 'Processing.Method'\n 'Aftertaste' 'Harvest.Year' 'Variety' 'Moisture' 'Sweetness' 'Uniformity'\n 'Country.of.Origin' 'Continent.of.Origin' 'Quakers' 'Color' 'Flavor'\n 'Species' 'Body' 'Category.One.Defects' 'REC_ID' 'Category.Two.Defects'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Adobe InDesign CS4: Fundamentals'], ['Cisco CAPPS 8.0: Implementing Cisco Unity Express in CUCM Express Environment'], ['Consulting Skills 2: Marketing, Building, and Expanding'], ['Basic Features of Excel 2003'], ['Adobe_Presenter 10']] \n Classes: ['training_type' 'training_title' 'training_provider'\n 'training_description' 'target_audience'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[232058], [4581], [80510], [183295], [232058]] \n Classes: ['quantity' 'species'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Authoritative'], [nan], ['In process'], ['Authoritative'], ['Authoritative']] \n Classes: ['data_set' 'publishing_status' 'source' 'data_collection_phase'\n 'description' 'sharing_permissions' 'primary_uses' 'update_frequency'\n 'category_search' 'format' 'date_added' 'downloadurl' 'principal_use'\n 'basis_url' 'dataurl' 'data_steward_notes' 'geojson' 'basisid'\n 'data_subcategory' 'data_category' 'data_steward' 'geometry' 'in_review'\n 'unit_of_analysis' 'date_published'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1010], [4404], [1010], [1010], [1010]] \n Classes: ['longitude' 'latitude' 'ward' 'application_type' 'state' 'city'\n 'ward_precinct' 'police_district' 'license_status' 'license_start_date'\n 'license_number' 'location' 'license_id' 'conditional_approval' 'ssa'\n 'id' 'account_number' 'license_description' 'license_code' 'payment_date'\n 'site_number' 'business_activity' 'application_requirements_complete'\n 'doing_business_as_name' 'address' 'expiration_date'\n 'business_activity_id' 'date_issued' 'license_approved_for_issuance'\n 'precinct' 'zip_code' 'legal_name'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[232058], [4581], [80510], [183295], [232058]] \n Classes: ['species' 'quantity'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['POSSESS - HEROIN (WHITE)'], ['HARASSMENT BY ELECTRONIC MEANS'], ['ATTEMPT - AUTOMOBILE'], ['OVER $500'], ['POSSESS - CANNABIS MORE THAN 30 GRAMS']] \n Classes: ['latitude' 'case_' ':@computed_region_bdys_3d7i' 'arrest'\n ':@computed_region_6mkv_f3dw' 'ward' 'block' '_secondary_description'\n 'fbi_cd' '_location_description' 'longitude' 'beat' 'y_coordinate'\n '_primary_decsription' 'domestic' 'date_of_occurrence'\n ':@computed_region_43wa_7qmu' '_iucr' 'location'\n ':@computed_region_awaf_s7ux' 'x_coordinate'\n ':@computed_region_vrxf_vc4k'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['ham'], ['spam'], ['ham'], ['ham'], ['spam']] \n Classes: ['email' 'label'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['STEAMFITTER'], ['POLICE OFFICER'], ['POLICE OFFICER'], ['POLICE OFFICER'], ['POLICE OFFICER']] \n Classes: ['typical_hours' 'name' 'department' 'full_or_part_time' 'annual_salary'\n 'salary_or_hourly' 'hourly_rate' 'job_titles'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[0.16], [0.12], [0.125], [0.19], [0.115]] \n Classes: ['Height' 'Whole_weight' 'id' 'Length' 'Viscera_weight' 'Shucked_weight'\n 'Sex' 'Diameter' 'Rings' 'Shell_weight'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1164437190.0], [1295752418.0], [nan], [1619502168.0], [1497385967.0]] \n Classes: ['provider_status' ':@computed_region_pqdx_y6mm' 'courses_available'\n 'geocoded_address' 'county' 'provider_name' 'order_label' 'zip'\n 'national_drug_code' 'provider_note' 'npi' 'state_code'\n 'last_report_date' 'address1' 'city' 'address2'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[0], [5], [0], [0], [7]] \n Classes: ['inpatient_beds_used_7_day_sum' 'total_beds_7_day_avg'\n 'previous_day_admission_adult_covid_confirmed_7_day_coverage'\n 'total_patients_hospitalized_confirmed_influenza_and_covid_7_day_sum'\n 'total_pediatric_patients_hospitalized_confirmed_covid_7_day_coverage'\n 'total_staffed_pediatric_icu_beds_7_day_avg' 'collection_week'\n 'total_adult_patients_hospitalized_confirmed_covid_7_day_coverage'\n 'total_adult_patients_hospitalized_confirmed_covid_7_day_avg'\n 'icu_patients_confirmed_influenza_7_day_sum'\n 'previous_day_admission_adult_covid_suspected_70_79_7_day_sum'\n 'staffed_pediatric_icu_bed_occupancy_7_day_sum'\n 'previous_day_admission_pediatric_covid_suspected_7_day_coverage'\n 'total_staffed_adult_icu_beds_7_day_coverage'\n 'inpatient_beds_used_7_day_avg'\n 'icu_patients_confirmed_influenza_7_day_coverage'\n 'total_patients_hospitalized_confirmed_influenza_7_day_sum'\n 'previous_day_admission_adult_covid_suspected_50'\n 'icu_patients_confirmed_influenza_7_day_avg'\n 'all_pediatric_inpatient_bed_occupied_7_day_sum'\n 'previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum'\n 'all_adult_hospital_inpatient_bed_occupied_7_day_coverage'\n 'staffed_icu_adult_patients_confirmed_covid_7_day_coverage'\n ':@computed_region_pqdx_y6mm'\n 'previous_day_admission_adult_covid_suspected_18'\n 'total_adult_patients_hospitalized_confirmed_and_suspected_covid_7_day_coverage'\n 'inpatient_beds_used_covid_7_day_coverage'\n 'inpatient_beds_7_day_coverage' 'all_adult_hospital_beds_7_day_sum'\n 'total_pediatric_patients_hospitalized_confirmed_covid_7_day_sum'\n 'staffed_icu_pediatric_patients_confirmed_covid_7_day_avg'\n 'previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum'\n 'staffed_icu_adult_patients_confirmed_covid_7_day_sum'\n 'all_adult_hospital_inpatient_beds_7_day_coverage'\n 'previous_day_admission_adult_covid_suspected_unknown_7_day_sum'\n 'icu_beds_used_7_day_sum' 'total_icu_beds_7_day_sum'\n 'previous_day_admission_adult_covid_suspected_30' 'hhs_ids'\n 'total_patients_hospitalized_confirmed_influenza_and_covid_7_day_avg'\n 'staffed_icu_adult_patients_confirmed_and_suspected_covid_7_day_avg'\n 'all_adult_hospital_inpatient_bed_occupied_7_day_sum' 'city'\n 'previous_day_admission_adult_covid_suspected_60'\n 'icu_beds_used_7_day_avg'\n 'previous_day_admission_influenza_confirmed_7_day_sum'\n 'all_pediatric_inpatient_beds_7_day_coverage' 'inpatient_beds_7_day_avg'\n 'staffed_icu_pediatric_patients_confirmed_covid_7_day_sum'\n 'previous_day_admission_pediatric_covid_confirmed_7_day_sum'\n 'previous_day_admission_adult_covid_confirmed_60'\n 'all_adult_hospital_inpatient_beds_7_day_sum'\n 'staffed_icu_adult_patients_confirmed_and_suspected_covid_7_day_sum'\n 'state' 'previous_day_admission_adult_covid_suspected_40' 'is_corrected'\n 'hospital_subtype'\n 'total_patients_hospitalized_confirmed_influenza_and_covid_7_day_coverage'\n 'total_icu_beds_7_day_avg'\n 'total_patients_hospitalized_confirmed_influenza_7_day_avg'\n 'total_adult_patients_hospitalized_confirmed_and_suspected_covid_7_day_avg'\n 'staffed_pediatric_icu_bed_occupancy_7_day_coverage'\n 'all_pediatric_inpatient_bed_occupied_7_day_coverage'\n 'staffed_icu_adult_patients_confirmed_and_suspected_covid_7_day_coverage'\n 'all_adult_hospital_inpatient_bed_occupied_7_day_avg'\n 'previous_day_admission_adult_covid_suspected_7_day_coverage' 'fips_code'\n 'previous_day_admission_adult_covid_suspected_80' 'total_beds_7_day_sum'\n 'total_patients_hospitalized_confirmed_influenza_7_day_coverage'\n 'all_adult_hospital_beds_7_day_avg' 'zip' 'is_metro_micro'\n 'previous_day_admission_adult_covid_confirmed_80'\n 'staffed_pediatric_icu_bed_occupancy_7_day_avg'\n 'previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum'\n 'previous_day_admission_adult_covid_suspected_20'\n 'total_staffed_pediatric_icu_beds_7_day_sum'\n 'previous_day_admission_adult_covid_confirmed_30_39_7_day_sum'\n 'geocoded_hospital_address' 'all_adult_hospital_beds_7_day_coverage'\n 'staffed_icu_adult_patients_confirmed_covid_7_day_avg'\n 'icu_beds_used_7_day_coverage'\n 'previous_day_admission_adult_covid_confirmed_40_49_7_day_sum'\n 'inpatient_beds_used_covid_7_day_sum'\n 'previous_day_covid_ed_visits_7_day_sum'\n 'all_adult_hospital_inpatient_beds_7_day_avg'\n 'previous_day_admission_adult_covid_suspected_7_day_sum'\n 'previous_day_admission_adult_covid_confirmed_70'\n 'inpatient_beds_used_7_day_coverage'\n 'inpatient_beds_used_covid_7_day_avg'\n 'total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_7_day_avg'\n 'all_pediatric_inpatient_beds_7_day_sum'\n 'staffed_adult_icu_bed_occupancy_7_day_avg' 'ccn'\n 'total_adult_patients_hospitalized_confirmed_and_suspected_covid_7_day_sum'\n 'all_pediatric_inpatient_beds_7_day_avg'\n 'previous_day_admission_adult_covid_confirmed_18_19_7_day_sum'\n 'previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum'\n 'previous_day_total_ed_visits_7_day_sum'\n 'staffed_adult_icu_bed_occupancy_7_day_sum'\n 'staffed_adult_icu_bed_occupancy_7_day_coverage'\n 'previous_day_admission_adult_covid_confirmed_50'\n 'previous_day_admission_adult_covid_confirmed_7_day_sum'\n 'total_beds_7_day_coverage'\n 'total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_7_day_coverage'\n 'total_adult_patients_hospitalized_confirmed_covid_7_day_sum'\n 'total_staffed_pediatric_icu_beds_7_day_coverage' 'hospital_name'\n 'previous_day_admission_adult_covid_confirmed_20_29_7_day_sum'\n 'all_pediatric_inpatient_bed_occupied_7_day_avg'\n 'previous_day_admission_pediatric_covid_confirmed_7_day_coverage'\n 'staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage'\n 'total_pediatric_patients_hospitalized_confirmed_covid_7_day_avg'\n 'previous_day_admission_pediatric_covid_suspected_7_day_sum'\n 'total_staffed_adult_icu_beds_7_day_sum'\n 'previous_day_admission_adult_covid_confirmed_unknown_7_day_sum'\n 'address' 'total_staffed_adult_icu_beds_7_day_avg' 'hospital_pk'\n 'total_icu_beds_7_day_coverage'\n 'total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_7_day_sum'\n 'inpatient_beds_7_day_sum'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['2015-08-06 12:07:40'], ['2015-08-01 07:12:04'], ['2015-08-27 19:44:02'], ['2015-08-20 04:14:52'], ['2015-08-03 04:24:42']] \n Classes: ['time' 'temp' 'light' 'power' 'dust' 'humidity' 'CO2'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[nan], [nan], [nan], [nan], [nan]] \n Classes: ['potassium_extractable' 'carbon_total' 'nitrogen_total'\n 'sodium_extractable' 'ph' 'carbon_organic' 'copper_extractable'\n 'horizon_upper' 'phosphorus_extractable' 'end_date' 'iron_extractable'\n 'aluminium_extractable' 'manganese_extractable' 'latitude'\n 'boron_extractable' 'electrical_conductivity' 'magnesium_extractable'\n 'longitude' 'zinc_extractable' 'start_date' 'calcium_extractable'\n 'source' 'sulphur_extractable' 'horizon_lower'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[40.0], [nan], [nan], [nan], [nan]] \n Classes: ['annual_salary' 'department' 'salary_or_hourly' 'typical_hours'\n 'hourly_rate' 'name' 'job_titles' 'full_or_part_time'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['UNKNOWN INVENTORY'], ['UNKNOWN INVENTORY'], ['ACTIVE'], ['ACTIVE'], ['ACTIVE']] \n Classes: ['courses_available' 'provider_status' 'address1'\n ':@computed_region_pqdx_y6mm' 'county' 'npi' 'provider_note'\n 'national_drug_code' 'address2' 'last_report_date' 'geocoded_address'\n 'zip' 'state_code' 'order_label' 'city' 'provider_name'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Eucrite-mmict'], ['L6'], ['Stone-uncl'], ['H5'], ['L5']] \n Classes: ['id' 'geolocation' 'fall' 'reclat' 'name' 'reclong' 'mass'\n ':@computed_region_cbhk_fwbd' 'year' 'nametype' 'recclass'\n ':@computed_region_nnqa_25f4'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1.1405], [1.0535], [0.5805], [1.3905], [0.569]] \n Classes: ['Shucked_weight' 'Viscera_weight' 'Length' 'Rings' 'Whole_weight'\n 'Diameter' 'Shell_weight' 'id' 'Height' 'Sex'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[7.3], [0.0], [36.4], [21.2], [24.7]] \n Classes: ['RVAL3' 'RVAL1' 'WL2' 'RVAL2' 'VAL1' 'VAL3' 'WL3' 'WL1' 'VAL2'\n 'DeviceTimeStamp'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[22.656668], [19.917999], [23.328667], [20.456667], [92.657333]] \n Classes: ['date' 'price'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['2023-11-16T00:00:00.000'], ['2022-06-16T00:00:00.000'], ['2020-09-04T00:00:00.000'], ['2023-03-01T00:00:00.000'], ['2023-11-09T00:00:00.000']] \n Classes: ['unidad' 'vigenciahasta' 'vigenciadesde' 'valor'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1039372], [1603137], [2845332], [1193999], [3335438]] \n Classes: ['gis_council_district' 'sprinkler' 'building_type' 'latest_action_date'\n 'zoning_dist1' 'boiler' 'gis_bin' 'existingno_of_stories' 'mechanical'\n 'doc__' 'adult_estab' 'withdrawal_flag' 'paid' 'assigned'\n 'pre__filing_date' 'horizontal_enlrgmt' 'applicant_s_last_name'\n 'job_no_good_count' 'owner_s_business_name' 'owner_sphone__'\n 'existing_height' 'borough' 'total_est__fee' 'block'\n 'proposed_dwelling_units' 'street_name' 'gis_nta_name' 'equipment'\n 'job_s1_no' 'other' 'owner_s_last_name' 'fully_paid' 'zoning_dist3'\n 'special_district_1' 'owner_type' 'applicant_professional_title'\n 'plumbing' 'owner_s_first_name' 'existing_dwelling_units'\n 'community___board' 'house__' 'fuel_storage' 'job_status_descrp'\n 'dobrundate' 'total_construction_floor_area' 'site_fill'\n 'proposed_zoning_sqft' 'other_description' 'vertical_enlrgmt'\n 'job_status' 'efiling_filed' 'professional_cert' 'fee_status'\n 'gis_longitude' 'proposed_no_of_stories' 'little_e'\n 'enlargement_sq_footage' 'special_district_2' 'street_frontage'\n 'zoning_dist2' 'standpipe' 'signoff_date' 'building_class'\n 'fully_permitted' 'bin__' 'applicant_s_first_name' 'landmarked'\n 'proposed_height' 'special_action_status' 'gis_census_tract'\n 'existing_occupancy' 'cluster' 'applicant_license__' 'gis_latitude'\n 'loft_board' 'special_action_date' 'fire_suppression' 'city_owned'\n 'pc_filed' 'job_type' 'fuel_burning' 'job_description' 'lot' 'curb_cut'\n 'approved' 'non_profit' 'existing_zoning_sqft' 'initial_cost'\n 'proposed_occupancy' 'fire_alarm' 'job__'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Bahary'], ['CHAN'], ['CHANG'], ['SIDERIS'], ['EARLY']] \n Classes: ['fuel_storage' 'landmarked' 'existing_dwelling_units' 'mechanical'\n 'plumbing' 'applicant_s_first_name' 'professional_cert' 'house__'\n 'zoning_dist1' 'boiler' 'job_status' 'existingno_of_stories' 'fee_status'\n 'lot' 'fire_suppression' 'pre__filing_date' 'block' 'proposed_occupancy'\n 'special_district_2' 'gis_nta_name' 'special_action_date'\n 'existing_occupancy' 'total_est__fee' 'proposed_no_of_stories'\n 'street_frontage' 'signoff_date' 'horizontal_enlrgmt' 'job_s1_no'\n 'proposed_height' 'community___board' 'initial_cost' 'street_name'\n 'owner_s_last_name' 'vertical_enlrgmt' 'borough' 'job_no_good_count'\n 'equipment' 'doc__' 'curb_cut' 'building_type' 'building_class'\n 'dobrundate' 'pc_filed' 'applicant_professional_title'\n 'enlargement_sq_footage' 'fully_paid' 'job_type' 'approved'\n 'zoning_dist3' 'standpipe' 'job_description' 'bin__' 'fully_permitted'\n 'sprinkler' 'proposed_zoning_sqft' 'non_profit' 'cluster'\n 'proposed_dwelling_units' 'other_description' 'latest_action_date'\n 'owner_s_first_name' 'gis_longitude' 'assigned' 'fuel_burning'\n 'efiling_filed' 'other' 'owner_sphone__' 'loft_board' 'existing_height'\n 'site_fill' 'special_action_status' 'city_owned' 'owner_type'\n 'fire_alarm' 'special_district_1' 'job__' 'little_e'\n 'gis_council_district' 'adult_estab' 'withdrawal_flag' 'gis_bin'\n 'applicant_license__' 'owner_s_business_name' 'paid' 'gis_census_tract'\n 'gis_latitude' 'existing_zoning_sqft' 'total_construction_floor_area'\n 'zoning_dist2' 'applicant_s_last_name' 'job_status_descrp'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[0.0], [0.0], [0.0], [0.1426607705384305], [0.0]] \n Classes: ['freq_4' 'freq_3' 'freq_5' 'freq_6' 'freq_2' 'Areas' 'freq_1'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['%'], ['%'], ['%'], ['%'], ['%']] \n Classes: ['notes' 'on_track' 'measure_type' 'fiscal_year' 'priority_measure'\n 'data_type' 'budget_book' 'date' 'reporting_frequency' 'key_measure'\n 'program_name' 'id' 'active' 'target_met' 'measure_target'\n 'measure_value' 'org_number' 'dept_name' 'measure_value_type'\n 'measure_name' 'measure_id'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[1.31], [2900.0], [24.71], [466.0], [28.1]] \n Classes: ['reclat' 'fall' 'year' 'GeoLocation' 'recclass' 'nametype' 'id'\n 'mass (g)' 'reclong' 'name'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[\"This program includes funding to implement improvements to the Caltrain/High-Speed Rail Corridor. Improvements include grade separations funded by Santa Clara County's Measure B and San Mateo County's Measure A, as well as future grade separations and other modernization improvements within the Bay Area's urban core that serve the dual purpose of connecting High Speed Rail to the Bay Area and improving the Caltrain system.\"], [\"This program includes funding to implement other programmatic investments to enhance local transit frequency, capacity and reliability. This program generally implements county, transit agency, and other local programs and initiatives to make bus and light rail travel faster and more reliable. Improvements include fleet and facilities expansions; transit corridor improvements; and transit station improvements. Example investments include implementation of SFMTA's bus and facility expansion (Core Capacity) and Parkmerced Transportation Improvements; and Santa Clara County's High-Capacity Transit Corridors program, SR-85 Corridor Improvements, and Downtown Coordinated Area Plan and Transit Center Improvements.\"], ['This program includes funding to implement interchange improvements at I-680/SR-12, Redwood Pkwy and Lagoon Valley Rd.'], ['This program includes funding to implement improvements to existing Caltrain rail service between San Francisco and San Jose, including frequency upgrades (8 trains per hour per direction in peak).'], ['This program includes funding to implement new rapid bus service along E 14th St/Mission St/Fremont Blvd between the San Leandro and Warm Springs BART stations. Improvements include frequency upgrades (10 minute peak headways for Route 10 and 20 minute peak headways for Route 99), dedicated lanes and mobility hubs at BART stations.']] \n Classes: ['open_period' 'title' 'plan_strategy' 'county' 'rtpid' 'scope'\n 'funding_millions_yoe'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Your trial period has ended. Upgrade to a premium plan for unlimited access.'], [\"You've won a shopping spree! Click here to claim your voucher.\"], [\"We're excited to announce our upcoming webinar series. Register now to reserve your spot!\"], [\"Your order is confirmed. You'll receive a confirmation email shortly with the details.\"], ['Your Netflix subscription has expired. Click here to renew now!']] \n Classes: ['label' 'email'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Pre-PQ Process'], ['Pre-PQ Process'], ['Pre-PQ Process'], ['Pre-PQ Process'], ['Pre-PQ Process']] \n Classes: ['scheduled_delivery_date' 'line_item_value' 'sub_classification'\n 'freight_cost_usd' 'weight_kilograms' 'dosage_form' 'pack_price'\n 'po_sent_to_vendor_date' 'pq_first_sent_to_client_date' 'pq'\n 'delivery_recorded_date' 'dosage' 'fulfill_via' 'po_so'\n 'first_line_designation' 'brand' 'asn_dn' 'unit_of_measure_per_pack'\n 'unit_price' 'id' 'line_item_insurance_usd' 'vendor' 'vendor_inco_term'\n 'manufacturing_site' 'product_group' 'project_code' 'line_item_quantity'\n 'item_description' 'country' 'managed_by' 'delivered_to_client_date'\n 'shipment_mode' 'molecule_test_type'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[\"Revise the text with vivid descriptions and an upbeat, celebratory tone to capture the festival's triumph and community spirit.\"], ['Revise the text into a haiku format, with a syllable structure of 5-7-5 in each line, while maintaining the essence of observing nature through binoculars.'], ['Revise the text into a more casual and friendly tone.'], ['Revise the text to have a more poetic and nostalgic tone.'], ['Revise the text with an exaggerated, poetic style while retaining the core meaning.']] \n Classes: ['id' 'original_text' 'rewritten_text' 'rewrite_prompt'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Snoring'], ['Whistling respiration'], ['Asthmatic respiration'], ['Irregular respiration'], ['Hot breath']] \n Classes: ['Remedy' 'Final_remedy' 'Symptom' 'RemedyStrength' 'Part_of_remedy'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['ham'], ['spam'], ['ham'], ['ham'], ['spam']] \n Classes: ['label' 'email'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[271], [271], [271], [271], [271]] \n Classes: ['active' 'key_measure' 'priority_measure' 'measure_value_type'\n 'measure_target' 'measure_type' 'reporting_frequency' 'dept_name'\n 'program_name' 'org_number' 'id' 'fiscal_year' 'date' 'on_track'\n 'measure_name' 'measure_id' 'target_met' 'budget_book' 'data_type'\n 'measure_value'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[3296], [3016], [1938], [3055], [3139]] \n Classes: ['CarName' 'symboling' 'enginetype' 'carlength' 'peakrpm' 'wheelbase'\n 'fuelsystem' 'stroke' 'curbweight' 'cylindernumber' 'citympg'\n 'aspiration' 'doornumber' 'enginelocation' 'carbody' 'boreratio'\n 'drivewheel' 'enginesize' 'horsepower' 'highwaympg' 'carheight' 'price'\n 'car_ID' 'compressionratio' 'carwidth' 'fueltype'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['2023-11-16T00:00:00.000'], ['2022-06-16T00:00:00.000'], ['2020-09-04T00:00:00.000'], ['2023-03-01T00:00:00.000'], ['2023-11-09T00:00:00.000']] \n Classes: ['valor' 'vigenciadesde' 'vigenciahasta' 'unidad'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['DK2'], ['GB'], ['FI'], ['HU'], ['HU']] \n Classes: ['fecha_actualizacion' 'hora' 'bandera' 'origen_dato' 'sistema'\n 'Unnamed: 0' 'tipo_moneda' 'fecha' 'precio'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[232058], [4581], [80510], [183295], [232058]] \n Classes: ['quantity' 'species'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[860], [1294], [1130], [1095], [3092]] \n Classes: ['description' 'latitudes' 'military_base_name' 'longtitudes' 'Unnamed: 0'\n 'coordinates'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['70.443.997'], ['10.899.999'], ['20.280.795'], ['0'], ['1.2041']] \n Classes: ['Year' 'code country' 'Maize yield' 'country'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[nan], [0.0], [0.0], [nan], [nan]] \n Classes: ['deaths_covid_coverage'\n 'previous_week_therapeutic_a_casirivimab_imdevimab_courses_used'\n 'total_pediatric_patients_hospitalized_confirmed_covid'\n 'previous_day_admission_adult_covid_suspected_80_coverage'\n 'previous_day_admission_pediatric_covid_suspected_coverage'\n 'previous_day_admission_adult_covid_confirmed_60_69'\n 'previous_day_admission_adult_covid_confirmed_coverage'\n 'previous_day_admission_adult_covid_confirmed_30_39'\n 'inpatient_beds_utilization_denominator'\n 'previous_day_admission_adult_covid_confirmed_20_29_coverage'\n 'critical_staffing_shortage_today_not_reported'\n 'critical_staffing_shortage_anticipated_within_week_not_reported'\n 'previous_day_admission_pediatric_covid_confirmed_5_11'\n 'total_adult_patients_hospitalized_confirmed_covid'\n 'previous_day_admission_pediatric_covid_suspected'\n 'previous_day_deaths_covid_and_influenza'\n 'previous_day_admission_influenza_confirmed_coverage'\n 'previous_day_admission_adult_covid_confirmed_40_49'\n 'inpatient_beds_used_covid'\n 'previous_day_admission_pediatric_covid_confirmed_5_11_coverage'\n 'staffed_icu_pediatric_patients_confirmed_covid'\n 'previous_day_admission_adult_covid_confirmed_50_59_coverage'\n 'adult_icu_bed_utilization_coverage'\n 'total_patients_hospitalized_confirmed_influenza_and_covid_coverage'\n 'inpatient_beds_used_coverage' 'inpatient_bed_covid_utilization_coverage'\n 'total_staffed_pediatric_icu_beds'\n 'on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses'\n 'all_pediatric_inpatient_bed_occupied_coverage'\n 'previous_day_admission_adult_covid_suspected_50_59_coverage'\n 'total_staffed_pediatric_icu_beds_coverage'\n 'adult_icu_bed_covid_utilization'\n 'previous_day_admission_pediatric_covid_confirmed_unknown'\n 'previous_day_admission_adult_covid_suspected_70_79'\n 'total_patients_hospitalized_confirmed_influenza_coverage'\n 'previous_day_admission_adult_covid_suspected_unknown'\n 'previous_day_admission_adult_covid_confirmed_70_79'\n 'previous_day_admission_adult_covid_confirmed_60_69_coverage'\n 'staffed_adult_icu_bed_occupancy_coverage'\n 'staffed_pediatric_icu_bed_occupancy'\n 'previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used'\n 'previous_day_deaths_influenza_coverage'\n 'previous_day_admission_adult_covid_suspected_70_79_coverage'\n 'previous_day_admission_adult_covid_suspected_unknown_coverage'\n 'previous_day_admission_pediatric_covid_confirmed_0_4_coverage'\n 'previous_day_admission_adult_covid_suspected_80_'\n 'on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses'\n 'staffed_icu_adult_patients_confirmed_covid_coverage'\n 'previous_day_admission_adult_covid_confirmed_20_29'\n 'inpatient_beds_utilization_coverage'\n 'total_patients_hospitalized_confirmed_influenza_and_covid'\n 'previous_day_deaths_influenza' 'all_pediatric_inpatient_beds'\n 'all_pediatric_inpatient_bed_occupied'\n 'total_pediatric_patients_hospitalized_confirmed_and_suspected_covid_coverage'\n 'total_patients_hospitalized_confirmed_influenza'\n 'previous_day_admission_pediatric_covid_confirmed'\n 'percent_of_inpatients_with_covid_numerator'\n 'inpatient_beds_used_covid_coverage'\n 'previous_day_admission_pediatric_covid_confirmed_unknown_coverage'\n 'previous_day_admission_pediatric_covid_confirmed_0_4'\n 'percent_of_inpatients_with_covid_coverage'\n 'hospital_onset_covid_coverage' 'icu_patients_confirmed_influenza'\n 'previous_day_admission_adult_covid_suspected'\n 'adult_icu_bed_utilization_denominator'\n 'total_pediatric_patients_hospitalized_confirmed_covid_coverage'\n 'previous_day_admission_adult_covid_suspected_60_69_coverage'\n 'previous_day_admission_adult_covid_confirmed_30_39_coverage'\n 'total_adult_patients_hospitalized_confirmed_and_suspected_covid'\n 'inpatient_beds_utilization_numerator'\n 'previous_day_admission_adult_covid_confirmed_18_19'\n 'critical_staffing_shortage_today_yes'\n 'previous_day_admission_adult_covid_suspected_20_29' 'state'\n 'staffed_icu_pediatric_patients_confirmed_covid_coverage'\n 'previous_day_admission_influenza_confirmed'\n 'previous_day_admission_adult_covid_suspected_30_39_coverage'\n 'deaths_covid' 'staffed_icu_adult_patients_confirmed_and_suspected_covid'\n 'staffed_adult_icu_bed_occupancy' 'inpatient_bed_covid_utilization'\n 'staffed_icu_adult_patients_confirmed_covid'\n 'adult_icu_bed_covid_utilization_coverage'\n 'total_pediatric_patients_hospitalized_confirmed_and_suspected_covid'\n 'previous_day_admission_adult_covid_suspected_40_49_coverage'\n 'on_hand_supply_therapeutic_b_bamlanivimab_courses'\n 'previous_day_admission_adult_covid_confirmed_80'\n 'adult_icu_bed_covid_utilization_denominator'\n 'previous_week_therapeutic_b_bamlanivimab_courses_used'\n 'staffed_icu_adult_patients_confirmed_and_suspected_covid_coverage'\n 'previous_day_admission_adult_covid_suspected_40_49'\n 'previous_day_admission_adult_covid_confirmed_70_79_coverage'\n 'inpatient_bed_covid_utilization_denominator' 'inpatient_beds_used'\n 'date' 'previous_day_admission_adult_covid_suspected_18_19'\n 'hospital_onset_covid' 'percent_of_inpatients_with_covid'\n 'percent_of_inpatients_with_covid_denominator'\n 'total_adult_patients_hospitalized_confirmed_covid_coverage'\n 'total_staffed_adult_icu_beds' 'inpatient_beds_utilization'\n 'previous_day_admission_adult_covid_confirmed_unknown_coverage'\n 'previous_day_deaths_covid_and_influenza_coverage'\n 'icu_patients_confirmed_influenza_coverage'\n 'previous_day_admission_adult_covid_confirmed_unknown'\n 'previous_day_admission_adult_covid_confirmed'\n 'inpatient_bed_covid_utilization_numerator'\n 'total_staffed_adult_icu_beds_coverage'\n 'all_pediatric_inpatient_beds_coverage'\n 'total_adult_patients_hospitalized_confirmed_and_suspected_covid_coverage'\n 'adult_icu_bed_covid_utilization_numerator'\n 'staffed_pediatric_icu_bed_occupancy_coverage'\n 'previous_day_admission_pediatric_covid_confirmed_12_17'\n 'previous_day_admission_adult_covid_confirmed_80_coverage'\n 'previous_day_admission_adult_covid_suspected_18_19_coverage'\n 'previous_day_admission_adult_covid_suspected_coverage'\n 'previous_day_admission_adult_covid_suspected_50_59'\n 'previous_day_admission_pediatric_covid_confirmed_coverage'\n 'previous_day_admission_adult_covid_suspected_30_39'\n 'critical_staffing_shortage_anticipated_within_week_no'\n 'inpatient_beds_coverage'\n 'previous_day_admission_adult_covid_confirmed_50_59'\n 'previous_day_admission_adult_covid_suspected_20_29_coverage'\n 'previous_day_admission_adult_covid_confirmed_18_19_coverage'\n 'critical_staffing_shortage_today_no'\n 'previous_day_admission_adult_covid_confirmed_40_49_coverage'\n 'adult_icu_bed_utilization_numerator' 'inpatient_beds'\n 'critical_staffing_shortage_anticipated_within_week_yes'\n 'previous_day_admission_adult_covid_suspected_60_69'\n 'adult_icu_bed_utilization'\n 'previous_day_admission_pediatric_covid_confirmed_12_17_coverage'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [[-72.99889], [50.35], [21.11073], [0.0], [-76.18333]] \n Classes: ['year' 'id' 'fall' 'nametype' 'recclass' 'mass (g)' 'reclat'\n 'GeoLocation' 'name' 'reclong'] \n Output: \n" ]

[ "Pick the column's class based on the provided column sample. Choose exactly one of the listed classes. Please respond only with the name of the class. \n Column sample: [['Lamivudine 10mg/ml [Epivir], oral solution, Bottle, 240 ml'], ['Stavudine 20mg, capsules, 60 Caps'], ['Tenofovir Disoproxil Fumarate 300mg, tablets, 30 Tabs'], ['Didanosine 25mg [Videx], chewable tablets, 60 Tabs'], ['Lamivudine 10mg/ml, oral solution, Bottle, 240 ml']] \n Classes: ['dosage_form' 'manufacturing_site' 'pack_price' 'asn_dn'\n 'sub_classification' 'line_item_value' 'id' 'molecule_test_type'\n 'freight_cost_usd' 'item_description' 'country' 'po_sent_to_vendor_date'\n 'delivery_recorded_date' 'fulfill_via' 'scheduled_delivery_date'\n 'delivered_to_client_date' 'po_so' 'product_group' 'dosage'\n 'project_code' 'unit_of_measure_per_pack' 'line_item_quantity' 'brand'\n 'first_line_designation' 'pq' 'shipment_mode' 'managed_by'\n 'vendor_inco_term' 'line_item_insurance_usd' 'weight_kilograms' 'vendor'\n 'pq_first_sent_to_client_date' 'unit_price'] \n Output: \n" ]