Update README.md

README.md

@@ -31,139 +31,65 @@ dataset_info:
           '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: 1910030202.243
     num_examples: 2283
   - name: validation
-    num_bytes: 299915580.0
+    num_bytes: 299915580
     num_examples: 368
   - name: test
-    num_bytes: 732875657.0
+    num_bytes: 732875657
     num_examples: 838
   download_size: 2915269155
   dataset_size: 2942821439.243
+license: mit
+task_categories:
+- automatic-speech-recognition
+language:
+- kn
+size_categories:
+- 1K<n<10K
 ---
-# Dataset Card for "Fleurs-Kn"
+This is a filtered version of the [Fleurs](https://huggingface.co/datasets/google/fleurs) dataset only containing samples of Kannada language.
+The dataset contains total of 2283 training, 368 validation and 838 test samples.
+
+### Data Sample:
+```python
+{'id': 1053,
+ 'num_samples': 226560,
+ 'path': '/home/ravi.naik/.cache/huggingface/datasets/downloads/extracted/e7c8b501d4e6892673b6dc291d42de48e7987b0d2aa6471066a671f686224ed1/10000267636955490843.wav',
+ 'audio': {'path': 'train/10000267636955490843.wav',
+  'array': array([ 0.        ,  0.        ,  0.        , ..., -0.00100893,
+         -0.00109982, -0.00118315]),
+  'sampling_rate': 16000},
+ 'transcription': 'ವಿದೇಶದಲ್ಲಿ ವಾಸಿಸಿದ ನಂತರ ನೀವು ನಿಮ್ಮಊರಿಗೆ ಮರಳಿದಾಗ ನೀವು ಹೊಸ ಸಂಸ್ಕೃತಿಗೆ ಹೊಂದಿಕೊಂಡಿದ್ದೀರಿ ಮತ್ತು ನಿಮ್ಮ ಕುಟುಂಬ ಸಂಸ್ಕೃತಿಯಿಂದ ಕೆಲವು ಅಭ್ಯಾಸಗಳನ್ನು ಕಳೆದುಕೊಂಡಿದ್ದೀರಿ',
+ 'raw_transcription': 'ವಿದೇಶದಲ್ಲಿ ವಾಸಿಸಿದ ನಂತರ ನೀವು ನಿಮ್ಮಊರಿಗೆ ಮರಳಿದಾಗ, ನೀವು ಹೊಸ ಸಂಸ್ಕೃತಿಗೆ ಹೊಂದಿಕೊಂಡಿದ್ದೀರಿ ಮತ್ತು ನಿಮ್ಮ ಕುಟುಂಬ ಸಂಸ್ಕೃತಿಯಿಂದ ಕೆಲವು ಅಭ್ಯಾಸಗಳನ್ನು ಕಳೆದುಕೊಂಡಿದ್ದೀರಿ.',
+ 'gender': 1,
+ 'lang_id': 47,
+ 'language': 'Kannada',
+ 'lang_group_id': 4}
+```
+### Data Fields
+The data fields are the same among all splits.
+
+id (int): ID of audio sample
+num_samples (int): Number of float values
+path (str): Path to the audio file
+audio (dict): Audio object including loaded audio array, sampling rate and path ot audio
+raw_transcription (str): The non-normalized transcription of the audio file
+transcription (str): Transcription of the audio file
+gender (int): Class id of gender
+lang_id (int): Class id of language
+lang_group_id (int): Class id of language group
+
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+### Use with Datasets
+```python
+from datasets import load_dataset
+fleurs_kn = load_dataset("RaviNaik/Fleurs-Kn", split="train", streaming=True)
+print(next(iter(fleurs_kn)))
+```