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Datasets:
yuiseki
/
ilostat

Tasks:
Tabular Regression
Time Series Forecasting
Languages:
English
French
Spanish
Size:
100M<n<1B
Tags:
ilo
ilostat
labour
employment
unemployment
wages
License:
Dataset card Data Studio Files
xet
 Community
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'classif1', 'classif1.label'}) and 2 missing columns ({'classif.label', 'classif'}).

This happened while the csv dataset builder was generating data using

hf://datasets/yuiseki/ilostat/raw/2026-10-04/dic/classif1.csv (at revision 6f6d8ac78d395c1ac0043b288ceaf87745176732), ['hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cla.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cla_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cla_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cla_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_coi.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_coi_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_coi_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_coi_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cpr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cpr_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cpr_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cpr_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_crs.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_crs_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_crs_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_crs_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cur.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cur_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cur_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cur_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dcl.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dcl_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dcl_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dcl_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dsb.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dsb_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dsb_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dsb_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dur.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dur_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dur_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_dur_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ec2.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ec2_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ec2_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ec2_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_eco.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_eco_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_eco_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_eco_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_edu.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_edu_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_edu_es.csv', 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'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_hht_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_hht_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_hht_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_how.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_how_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_how_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_how_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ifl.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ifl_en.csv', 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'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_inj_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ins.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ins_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ins_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_ins_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_jbc.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_jbc_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_jbc_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_jbc_fr.csv', 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'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_GEO_RT_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_GEO_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_MTS_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_MTS_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_RT_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_AGE_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_DSB_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_DSB_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_CBR_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_CCT_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_DSB_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_GEO_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_GEO_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_MTS_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_MTS_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_RT_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_EDU_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_DSB_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_DSB_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_MTS_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_MTS_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_RT_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_GEO_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_MTS_DSB_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_MTS_DSB_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_MTS_RT_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_MTS_RT_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_DEAP_SEX_MTS_RT_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_PUNE_SEX_ECO_EDU_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_PUNE_SEX_ECO_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_PUNE_SEX_OCU_EDU_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_PUNE_SEX_OCU_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUN1_SEX_AGE_DUR_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUN1_SEX_AGE_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUN1_SEX_AGE_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_CBR_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_CCT_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_DSB_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_DSB_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_DUR_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_DUR_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_DUR_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_EDU_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_EDU_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_EDU_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_GEO_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_GEO_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_GEO_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_MTS_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_MTS_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_AGE_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_CAT_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_CAT_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_DSB_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_DSB_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_DUR_GEO_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_DUR_MTS_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_CBR_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_CCT_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_DSB_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_GEO_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_GEO_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_MTS_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_MTS_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_EDU_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_DSB_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_DSB_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_MTS_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_MTS_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_GEO_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_MTS_DSB_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_MTS_DSB_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_MTS_NB_A.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_MTS_NB_M.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/UNE_TUNE_SEX_MTS_NB_Q.csv.gz', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_fr.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              classif1: string
              classif1.label: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 524
              to
              {'classif': Value('string'), 'classif.label': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'classif1', 'classif1.label'}) and 2 missing columns ({'classif.label', 'classif'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/yuiseki/ilostat/raw/2026-10-04/dic/classif1.csv (at revision 6f6d8ac78d395c1ac0043b288ceaf87745176732), ['hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_age_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_car_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cat_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cbr_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cct_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_cds_fr.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/dic/cl_chl_en.csv', 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'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_en.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_es.csv', 'hf://datasets/yuiseki/ilostat@6f6d8ac78d395c1ac0043b288ceaf87745176732/raw/2026-10-04/indicator/table_of_contents_fr.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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classif
string
classif.label
string
AGE_YTHADULT_YGE15
Age (Youth, adults): 15+
AGE_YTHADULT_Y15-64
Age (Youth, adults): 15-64
AGE_YTHADULT_Y15-24
Age (Youth, adults): 15-24
AGE_YTHADULT_YGE25
Age (Youth, adults): 25+
AGE_AGGREGATE_YGE15
Age (Aggregate bands): 15+
AGE_AGGREGATE_Y15-24
Age (Aggregate bands): 15-24
AGE_AGGREGATE_Y25-54
Age (Aggregate bands): 25-54
AGE_AGGREGATE_Y55-64
Age (Aggregate bands): 55-64
AGE_AGGREGATE_YGE65
Age (Aggregate bands): 65+
AGE_10YRBANDS_YGE15
Age (10-year bands): 15+
AGE_10YRBANDS_Y15-24
Age (10-year bands): 15-24
AGE_10YRBANDS_Y25-34
Age (10-year bands): 25-34
AGE_10YRBANDS_Y35-44
Age (10-year bands): 35-44
AGE_10YRBANDS_Y45-54
Age (10-year bands): 45-54
AGE_10YRBANDS_Y55-64
Age (10-year bands): 55-64
AGE_10YRBANDS_YGE65
Age (10-year bands): 65+
AGE_5YRBANDS_YGE15
Age (5-year bands): 15+
AGE_5YRBANDS_Y15-19
Age (5-year bands): 15-19
AGE_5YRBANDS_Y20-24
Age (5-year bands): 20-24
AGE_5YRBANDS_Y25-29
Age (5-year bands): 25-29
AGE_5YRBANDS_Y30-34
Age (5-year bands): 30-34
AGE_5YRBANDS_Y35-39
Age (5-year bands): 35-39
AGE_5YRBANDS_Y40-44
Age (5-year bands): 40-44
AGE_5YRBANDS_Y45-49
Age (5-year bands): 45-49
AGE_5YRBANDS_Y50-54
Age (5-year bands): 50-54
AGE_5YRBANDS_Y55-59
Age (5-year bands): 55-59
AGE_5YRBANDS_Y60-64
Age (5-year bands): 60-64
AGE_5YRBANDS_YGE65
Age (5-year bands): 65+
AGE_CLDVERSION_Y00-14
Age: '0-14
AGE_CLDVERSION_Y00-04
Age: '0-4
AGE_CLDVERSION_Y05-17
Age: '5-17
AGE_CLDVERSION_Y05-09
Age: '5-9
AGE_CLDVERSION_Y05-11
Age: '5-11
AGE_CLDVERSION_Y10-14
Age: 10-14
AGE_CLDVERSION_Y12-14
Age: 12-14
AGE_CLDVERSION_Y15-17
Age: 15-17
AGE_YTHBANDS_Y15-24
Age (Youth bands): 15-24
AGE_YTHBANDS_Y15-29
Age (Youth bands): 15-29
AGE_YTHBANDS_Y15-19
Age (Youth bands): 15-19
AGE_YTHBANDS_Y20-24
Age (Youth bands): 20-24
AGE_YTHBANDS_Y25-29
Age (Youth bands): 25-29
AGE_YTHADULT_YGE15
Age (Youth, adults): 15+
AGE_YTHADULT_Y15-64
Age (Youth, adults): 15-64
AGE_YTHADULT_Y15-24
Age (Youth, adults): 15-24
AGE_YTHADULT_YGE25
Age (Youth, adults): 25+
AGE_AGGREGATE_YGE15
Age (Aggregate bands): 15+
AGE_AGGREGATE_Y15-24
Age (Aggregate bands): 15-24
AGE_AGGREGATE_Y25-54
Age (Aggregate bands): 25-54
AGE_AGGREGATE_Y55-64
Age (Aggregate bands): 55-64
AGE_AGGREGATE_YGE65
Age (Aggregate bands): 65+
AGE_10YRBANDS_YGE15
Age (10-year bands): 15+
AGE_10YRBANDS_Y15-24
Age (10-year bands): 15-24
AGE_10YRBANDS_Y25-34
Age (10-year bands): 25-34
AGE_10YRBANDS_Y35-44
Age (10-year bands): 35-44
AGE_10YRBANDS_Y45-54
Age (10-year bands): 45-54
AGE_10YRBANDS_Y55-64
Age (10-year bands): 55-64
AGE_10YRBANDS_YGE65
Age (10-year bands): 65+
AGE_5YRBANDS_YGE15
Age (5-year bands): 15+
AGE_5YRBANDS_Y15-19
Age (5-year bands): 15-19
AGE_5YRBANDS_Y20-24
Age (5-year bands): 20-24
AGE_5YRBANDS_Y25-29
Age (5-year bands): 25-29
AGE_5YRBANDS_Y30-34
Age (5-year bands): 30-34
AGE_5YRBANDS_Y35-39
Age (5-year bands): 35-39
AGE_5YRBANDS_Y40-44
Age (5-year bands): 40-44
AGE_5YRBANDS_Y45-49
Age (5-year bands): 45-49
AGE_5YRBANDS_Y50-54
Age (5-year bands): 50-54
AGE_5YRBANDS_Y55-59
Age (5-year bands): 55-59
AGE_5YRBANDS_Y60-64
Age (5-year bands): 60-64
AGE_5YRBANDS_YGE65
Age (5-year bands): 65+
AGE_CLDVERSION_Y00-14
Age: '0-14
AGE_CLDVERSION_Y00-04
Age: '0-4
AGE_CLDVERSION_Y05-17
Age: '5-17
AGE_CLDVERSION_Y05-09
Age: '5-9
AGE_CLDVERSION_Y05-11
Age: '5-11
AGE_CLDVERSION_Y10-14
Age: 10-14
AGE_CLDVERSION_Y12-14
Age: 12-14
AGE_CLDVERSION_Y15-17
Age: 15-17
AGE_YTHBANDS_Y15-24
Age (Youth bands): 15-24
AGE_YTHBANDS_Y15-29
Age (Youth bands): 15-29
AGE_YTHBANDS_Y15-19
Age (Youth bands): 15-19
AGE_YTHBANDS_Y20-24
Age (Youth bands): 20-24
AGE_YTHBANDS_Y25-29
Age (Youth bands): 25-29
AGE_YTHADULT_YGE15
Edad (Jóvenes, adultos): 15+
AGE_YTHADULT_Y15-64
Edad (Jóvenes, adultos): 15-64
AGE_YTHADULT_Y15-24
Edad (Jóvenes, adultos): 15-24
AGE_YTHADULT_YGE25
Edad (Jóvenes, adultos): 25+
AGE_AGGREGATE_YGE15
Edad (Tramos agregados): 15+
AGE_AGGREGATE_Y15-24
Edad (Tramos agregados): 15-24
AGE_AGGREGATE_Y25-54
Edad (Tramos agregados): 25-54
AGE_AGGREGATE_Y55-64
Edad (Tramos agregados): 55-64
AGE_AGGREGATE_YGE65
Edad (Tramos agregados): 65+
AGE_10YRBANDS_YGE15
Edad (Tramos de 10 años): 15+
AGE_10YRBANDS_Y15-24
Edad (Tramos de 10 años): 15-24
AGE_10YRBANDS_Y25-34
Edad (Tramos de 10 años): 25-34
AGE_10YRBANDS_Y35-44
Edad (Tramos de 10 años): 35-44
AGE_10YRBANDS_Y45-54
Edad (Tramos de 10 años): 45-54
AGE_10YRBANDS_Y55-64
Edad (Tramos de 10 años): 55-64
AGE_10YRBANDS_YGE65
Edad (Tramos de 10 años): 65+
AGE_5YRBANDS_YGE15
Edad (Tramos de 5 años): 15+
AGE_5YRBANDS_Y15-19
Edad (Tramos de 5 años): 15-19
End of preview.

ilostat

The ILOSTAT bulk download of the International Labour Organization (ILO): 1,963 indicator files (one .csv.gz per indicator and frequency: annual, quarterly or monthly) holding 399,233,347 records by the listing's count, the indicator tables of contents (en, fr, es) and 244 dictionary (code list) files, as the bulk facility served them on 2026-10-04. The files are exactly as the ILO serves them; this dataset is a mirror, not a reformatting.

Source: https://ilostat.ilo.org/data/bulk/ (listings https://rplumber.ilo.org/files/website/bulk/indicator.html and https://rplumber.ilo.org/files/website/bulk/dic.html, kept under raw/2026-10-04/listings/).

The data follows upstream corrections

The server regenerates the files every day and keeps no earlier versions. This dataset therefore holds one run, the newest, and is replaced as a whole when it is fetched again; older runs are not kept here. The current run is raw/2026-10-04/. Files are built on request from the live database and sent without Content-Length or Last-Modified, so each was checked by reading it to the end and comparing its row count with the n.records of the listing (or of the table of contents, when the listing lags). MANIFEST.json gives for each file its URL, size, sha256, fetch time, rows counted and the listing's last.update; the listing used is dated 2026-10-04.

Layout 

raw/2026-10-04/MANIFEST.json
raw/2026-10-04/listings/<kind>_<Last-Modified>.html   the listing pages the run used
raw/2026-10-04/indicator/<id>.csv.gz                  one file per indicator and frequency
raw/2026-10-04/indicator/table_of_contents_<lang>.csv
raw/2026-10-04/dic/<name>.csv                         code lists

The dictionary variants whose names end in .par (244 links) answered HTTP 500 when they were fetched; they are listed under failed in the manifest and are not here. The by-country listing (ref_area), which cuts the same records by reference area, is not taken.

Left out: files that predate the CC BY licence

The ILO licenses the databases and datasets it published on or after 3 May 2023 under CC BY 4.0 (https://www.ilo.org/rights-and-permissions) and says earlier ones do not automatically fall under it. An indicator file whose last.update in the listing is earlier than 3 May 2023 is therefore not published here (MANIFEST.json still lists it):

  • indicator/ILR_CBCT_NOC_RT_A.csv.gz (last.update 2022-05-03, 5,140 bytes)

Licence

CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/); cite the ILO as the source (https://www.ilo.org/rights-and-permissions). The ILO name and emblem may not be used without permission. Collection code: https://github.com/yuiseki/ilostat (MIT).
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