Remove excess columns in ceb subset.

README.md

@@ -181,150 +181,19 @@ dataset_info:
     dtype: string
   - name: raw
     dtype: string
-  - name: id
-    dtype: int32
-  - name: num_samples
-    dtype: int32
   - name: path
     dtype: string
   - name: raw_transcription
     dtype: string
-  - name: gender
-    dtype:
-      class_label:
-        names:
-          '0': male
-          '1': female
-          '2': other
-  - name: lang_id
-    dtype:
-      class_label:
-        names:
-          '0': af_za
-          '1': am_et
-          '2': ar_eg
-          '3': as_in
-          '4': ast_es
-          '5': az_az
-          '6': be_by
-          '7': bg_bg
-          '8': bn_in
-          '9': bs_ba
-          '10': ca_es
-          '11': ceb_ph
-          '12': ckb_iq
-          '13': cmn_hans_cn
-          '14': cs_cz
-          '15': cy_gb
-          '16': da_dk
-          '17': de_de
-          '18': el_gr
-          '19': en_us
-          '20': es_419
-          '21': et_ee
-          '22': fa_ir
-          '23': ff_sn
-          '24': fi_fi
-          '25': fil_ph
-          '26': fr_fr
-          '27': ga_ie
-          '28': gl_es
-          '29': gu_in
-          '30': ha_ng
-          '31': he_il
-          '32': hi_in
-          '33': hr_hr
-          '34': hu_hu
-          '35': hy_am
-          '36': id_id
-          '37': ig_ng
-          '38': is_is
-          '39': it_it
-          '40': ja_jp
-          '41': jv_id
-          '42': ka_ge
-          '43': kam_ke
-          '44': kea_cv
-          '45': kk_kz
-          '46': km_kh
-          '47': kn_in
-          '48': ko_kr
-          '49': ky_kg
-          '50': lb_lu
-          '51': lg_ug
-          '52': ln_cd
-          '53': lo_la
-          '54': lt_lt
-          '55': luo_ke
-          '56': lv_lv
-          '57': mi_nz
-          '58': mk_mk
-          '59': ml_in
-          '60': mn_mn
-          '61': mr_in
-          '62': ms_my
-          '63': mt_mt
-          '64': my_mm
-          '65': nb_no
-          '66': ne_np
-          '67': nl_nl
-          '68': nso_za
-          '69': ny_mw
-          '70': oc_fr
-          '71': om_et
-          '72': or_in
-          '73': pa_in
-          '74': pl_pl
-          '75': ps_af
-          '76': pt_br
-          '77': ro_ro
-          '78': ru_ru
-          '79': sd_in
-          '80': sk_sk
-          '81': sl_si
-          '82': sn_zw
-          '83': so_so
-          '84': sr_rs
-          '85': sv_se
-          '86': sw_ke
-          '87': ta_in
-          '88': te_in
-          '89': tg_tj
-          '90': th_th
-          '91': tr_tr
-          '92': uk_ua
-          '93': umb_ao
-          '94': ur_pk
-          '95': uz_uz
-          '96': vi_vn
-          '97': wo_sn
-          '98': xh_za
-          '99': yo_ng
-          '100': yue_hant_hk
-          '101': zu_za
-          '102': all
-  - name: language
-    dtype: string
-  - name: lang_group_id
-    dtype:
-      class_label:
-        names:
-          '0': western_european_we
-          '1': eastern_european_ee
-          '2': central_asia_middle_north_african_cmn
-          '3': sub_saharan_african_ssa
-          '4': south_asian_sa
-          '5': south_east_asian_sea
-          '6': chinese_japanase_korean_cjk
   splits:
   - name: train
-    num_bytes: 5971819277.752
+    num_bytes: 5971420095.752
     num_examples: 9938
   - name: test
-    num_bytes: 1943363756.23
+    num_bytes: 1943254031.23
     num_examples: 2705
-  download_size: 7849951835
-  dataset_size: 7915183033.982
+  download_size: 7849703362
+  dataset_size: 7914674126.982
 - config_name: ceb
   features:
   - name: path

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