## 加载数据

### 方案1

语种：

|  语种   |     语种全称     |  样本个数  |     数据来源      |
|  :---  |     :---:      |   :---:  |      :---:       |
|   ar   |     arabic     |  10000   |     iwslt2017    |
|   bg   |   bulgarian    |  10000   |       xnli       |
|   bn   |    bengali     |  10000   |  open_subtitles  |
|   bs   |    bosnian     |  10000   |  open_subtitles  |
|   cs   |     czech      |  10000   |       ecb        |
|   da   |     danish     |  10000   |  open_subtitles  |
|   de   |     german     |  10000   |       ecb        |
|   el   |  modern greek  |  10000   |       ecb        |
|   en   |    english     |  10000   |       ecb        |
|   eo   |   esperanto    |  10000   |     tatoeba      |
|   es   |    spanish     |  10000   |     tatoeba      |
|   et   |    estonian    |  10000   |      emea        |
|   fi   |    finnish     |  10000   |       ecb        |
|   fo   |    faroese     |  10000   |  nordic_langid   |
|   fr   |    french      |  10000   |     iwslt2017    |
|   ga   |    irish       |  10000   | multi_para_crawl |
|   gl   |    galician    |  3096    |     tatoeba      |
|   hi   |     hindi      |  10000   |  open_subtitles  |
|  hi_en |     hindi      |  7180    | cmu_hinglish_dog |
|   hr   |    croatian    |  10000   |   hrenwac_para   |
|   hu   |    hungarian   |  3801    |   europa_ecdc_tm; europa_eac_tm   |
|   hy   |    armenian    |   660    |  open_subtitles  |
|   id   |   indonesian   |  10000   |   id_panl_bppt   |
|   is   |   icelandic    |  2973    |   europa_ecdc_tm; europa_eac_tm   |
|   it   |    italian     |  10000   |     iwslt2017    |
|   ja   |    japanese    |  10000   |     iwslt2017    |
|   ko   |    korean      |  10000   |     iwslt2017    |
|   lt   |   lithuanian   |  10000   |       emea       |
|   lv   |    latvian     |  4595    |   europa_ecdc_tm; europa_eac_tm   |
|   mr   |    marathi     |  10000   |     tatoeba      |
|   mt   |    maltese     |  10000   | multi_para_crawl |
|   nl   |    dutch       |  10000   |       kde4       |
|   no   |   norwegian    |  10000   | multi_para_crawl |
|   pl   |    polish      |  10000   |       ecb        |
|   pt   |   portuguese   |  10000   |     tatoeba      |
|   ro   |    romanian    |  10000   |       kde4       |
|   ru   |    russian     |  10000   |       xnli       |
|   sk   |    slovak      |  10000   | multi_para_crawl |
|   sl   |   slovenian    |  4589    |   europa_ecdc_tm; europa_eac_tm   |
|   sw   |    swahili     |  10000   |       xnli       |
|   sv   |    swedish     |  10000   |       kde4       |
|   th   |     thai       |  10000   |       xnli       |
|   tl   |    tagalog     |  10000   | multi_para_crawl |
|   tn   |    serpeti     |  10000   |   autshumato     |
|   tr   |    turkish     |  10000   |       xnli       |
|   ts   |    dzonga      |  10000   |    autshumato    |
|   ur   |     urdu       |  10000   |       xnli       |
|   vi   |   vietnamese   |  10000   |       xnli       |
|   yo   |     yoruba     |  9970    |    menyo20k_mt   |
|   zh   |    chinese     |  10000   |       xnli       |
|   zu   |  zulu, south africa  |  10000   |    autshumato    |


备注：
```text
问题1：
训练模型后发现它对短句子的识别能力很差。
当句子长度足够的时候，它能够识别准确，并给出接近1.0 的概率值。
但对于短句子，识别结果让人难以接受。例如把“你好”识别成 de 德语。

解答1：
（1）数据增强，将句子截短。
（2）我认为可考虑加大 dropout，狠狠的 dropout。

```

### 方案2

语种：

|  语种   |     语种全称     |  样本个数  |     数据来源      |
|  :---  |     :---:      |   :---:   |      :---:       |
|   ar   |     arabic     |  100000   |     iwslt2017    |
|   bg   |   bulgarian    |  100000   |       xnli       |
|   bn   |    bengali     |  36064    |  open_subtitles  |
|   bs   |    bosnian     |  10212    |  open_subtitles  |
|   cs   |     czech      |  100000   |       emea       |
|   da   |     danish     |  100000   |  open_subtitles  |
|   de   |     german     |  100000   |     iwslt2017    |
|   el   |  modern greek  |  100000   |       emea       |
|   en   |    english     |  100000   |     iwslt2017    |
|   eo   |   esperanto    |  94101    | tatoeba; open_subtitles |
|   es   |    spanish     |  100000   |       xnli       |
|   et   |    estonian    |  100000   |       emea       |
|   fi   |    finnish     |  100000   |    ecb; kde4     |
|   fo   |    faroese     |  23807    |  nordic_langid   |
|   fr   |    french      |  100000   |     iwslt2017    |
|   ga   |    irish       |  100000   | multi_para_crawl |
|   gl   |    galician    |  3096     |     tatoeba      |
|   hi   |     hindi      |  100000   |       xnli       |
|  hi_en |     hindi      |  7180     | cmu_hinglish_dog |
|   hr   |    croatian    |  95844    |   hrenwac_para   |
|   hu   |    hungarian   |  3801     |   europa_ecdc_tm; europa_eac_tm   |
|   hy   |    armenian    |   660     |  open_subtitles  |
|   id   |   indonesian   |  23940    |   id_panl_bppt   |
|   is   |   icelandic    |  100000   | multi_para_crawl |
|   it   |    italian     |  100000   |     iwslt2017    |
|   ja   |    japanese    |  100000   |     iwslt2017    |
|   ko   |    korean      |  100000   |     iwslt2017    |
|   lt   |   lithuanian   |  100000   |       emea       |
|   lv   |    latvian     |  100000   | multi_para_crawl |
|   mr   |    marathi     |  51807    |     tatoeba      |
|   mt   |    maltese     |  100000   | multi_para_crawl |
|   nl   |    dutch       |  100000   |       kde4       |
|   no   |   norwegian    |  100000   | multi_para_crawl |
|   pl   |    polish      |  100000   | para_crawl_en_pl |
|   pt   |   portuguese   |  100000   | para_crawl_en_pt |
|   ro   |    romanian    |  100000   |     iwslt2017    |
|   ru   |    russian     |  100000   |       xnli       |
|   sk   |    slovak      |  100000   | multi_para_crawl |
|   sl   |   slovenian    |  100000   | para_crawl_en_sl |
|   sw   |    swahili     |  100000   |       xnli       |
|   sv   |    swedish     |  100000   |       kde4       |
|   th   |     thai       |  100000   |       xnli       |
|   tl   |    tagalog     |  97241    | multi_para_crawl |
|   tn   |    serpeti     |  100000   |   autshumato     |
|   tr   |    turkish     |  100000   |       xnli       |
|   ts   |    dzonga      |  100000   |    autshumato    |
|   uk   |    ukrainian   |  88533    |  para_pat_en_uk  |
|   ur   |     urdu       |  100000   |       xnli       |
|   vi   |   vietnamese   |  100000   |       xnli       |
|   yo   |     yoruba     |  9970    |    menyo20k_mt   |
|   zh   |    chinese     |  100000   |       xnli       |
|   zu   |  zulu, south africa  |  26801   |    autshumato    |