readme: Mid Lambda EN
  
  The model was trained on about 10,000 unique medical terms. You can see a summary of the data in the next section
  
  ### Overview Dataset
  
  __**You can try pronunciation of words like shown in the table below**
  |    | Term             |
  |---:|:-----------------|
  |  0 | indogesic        |
  |  1 | rothacin         |
  |  2 | indomethacin     |
  |  3 | methacin         |
  |  4 | indocid retard   |
  |  5 | flexin           |
  |  6 | elmetacin        |
  |  7 | ixifi            |
  |  8 | remsima          |
  |  9 | remicade         |
  | 10 | actacel vaccine  |
  | 11 | axitinib         |
  | 12 | isoprinosine     |
  | 13 | imunovir         |
  | 14 | icgreen          |
  | 15 | emacrit          |
  | 16 | emacrit capsules |
  | 17 | sarclisa         |
  | 18 | cresemba         |
  | 19 | isepacine        |