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Datasets:
Batuka0901
/
fluers-mn

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
parquet
Languages:
Mongolian
Size:
1K - 10K
Libraries:
Datasets
Dask
Polars
Dataset card Data Studio Files
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Batuka0901 commited on
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README.md CHANGED
@@ -3,6 +3,165 @@ language:
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  - mn
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  task_categories:
5
  - automatic-speech-recognition
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # fleurs-mn
 
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  - mn
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  task_categories:
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  - automatic-speech-recognition
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: int32
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+ - name: num_samples
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+ dtype: int32
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+ - name: audio
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+ dtype:
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+ audio:
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+ sampling_rate: 16000
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+ - name: transcription
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+ dtype: string
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+ - name: raw_transcription
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+ dtype: string
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+ - name: gender
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+ dtype:
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+ class_label:
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+ names:
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+ '0': male
32
+ '1': female
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+ '2': other
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+ - name: lang_id
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+ dtype:
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+ class_label:
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+ names:
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+ '0': af_za
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+ '1': am_et
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+ '2': ar_eg
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+ '3': as_in
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+ '4': ast_es
43
+ '5': az_az
44
+ '6': be_by
45
+ '7': bg_bg
46
+ '8': bn_in
47
+ '9': bs_ba
48
+ '10': ca_es
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+ '11': ceb_ph
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+ '12': ckb_iq
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+ '13': cmn_hans_cn
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+ '14': cs_cz
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+ '15': cy_gb
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+ '16': da_dk
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+ '17': de_de
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+ '18': el_gr
57
+ '19': en_us
58
+ '20': es_419
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+ '21': et_ee
60
+ '22': fa_ir
61
+ '23': ff_sn
62
+ '24': fi_fi
63
+ '25': fil_ph
64
+ '26': fr_fr
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+ '27': ga_ie
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+ '28': gl_es
67
+ '29': gu_in
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+ '30': ha_ng
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+ '31': he_il
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+ '32': hi_in
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+ '33': hr_hr
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+ '34': hu_hu
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+ '35': hy_am
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+ '36': id_id
75
+ '37': ig_ng
76
+ '38': is_is
77
+ '39': it_it
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+ '40': ja_jp
79
+ '41': jv_id
80
+ '42': ka_ge
81
+ '43': kam_ke
82
+ '44': kea_cv
83
+ '45': kk_kz
84
+ '46': km_kh
85
+ '47': kn_in
86
+ '48': ko_kr
87
+ '49': ky_kg
88
+ '50': lb_lu
89
+ '51': lg_ug
90
+ '52': ln_cd
91
+ '53': lo_la
92
+ '54': lt_lt
93
+ '55': luo_ke
94
+ '56': lv_lv
95
+ '57': mi_nz
96
+ '58': mk_mk
97
+ '59': ml_in
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+ '60': mn_mn
99
+ '61': mr_in
100
+ '62': ms_my
101
+ '63': mt_mt
102
+ '64': my_mm
103
+ '65': nb_no
104
+ '66': ne_np
105
+ '67': nl_nl
106
+ '68': nso_za
107
+ '69': ny_mw
108
+ '70': oc_fr
109
+ '71': om_et
110
+ '72': or_in
111
+ '73': pa_in
112
+ '74': pl_pl
113
+ '75': ps_af
114
+ '76': pt_br
115
+ '77': ro_ro
116
+ '78': ru_ru
117
+ '79': sd_in
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+ '80': sk_sk
119
+ '81': sl_si
120
+ '82': sn_zw
121
+ '83': so_so
122
+ '84': sr_rs
123
+ '85': sv_se
124
+ '86': sw_ke
125
+ '87': ta_in
126
+ '88': te_in
127
+ '89': tg_tj
128
+ '90': th_th
129
+ '91': tr_tr
130
+ '92': uk_ua
131
+ '93': umb_ao
132
+ '94': ur_pk
133
+ '95': uz_uz
134
+ '96': vi_vn
135
+ '97': wo_sn
136
+ '98': xh_za
137
+ '99': yo_ng
138
+ '100': yue_hant_hk
139
+ '101': zu_za
140
+ '102': all
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+ - name: language
142
+ dtype: string
143
+ - name: lang_group_id
144
+ dtype:
145
+ class_label:
146
+ names:
147
+ '0': western_european_we
148
+ '1': eastern_european_ee
149
+ '2': central_asia_middle_north_african_cmn
150
+ '3': sub_saharan_african_ssa
151
+ '4': south_asian_sa
152
+ '5': south_east_asian_sea
153
+ '6': chinese_japanase_korean_cjk
154
+ - name: duration
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+ dtype: float64
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+ splits:
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+ - name: train
158
+ num_bytes: 1614786393.5682023
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+ num_examples: 3985
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+ - name: test
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+ num_bytes: 179510758.43179765
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+ num_examples: 443
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+ download_size: 1580284915
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+ dataset_size: 1794297152.0
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  ---
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  # fleurs-mn