why the stratify option is omitted from test_train_split function?
Hi ! It's simply not added yet :)

If someone wants to contribute to add the `stratify` parameter I'd be happy to give some pointers.

In the meantime, I guess you can use `sklearn` or other tools to do a stratified train/test split over the **indices** of your dataset and then do
```
train_dataset = dataset.select(train_indices)
test_dataset = dataset.select(test_indices)
```
why the stratify option is omitted from test_train_split function?

is there any other way implement the stratify option while splitting the dataset? as it is important point to be considered while splitting the dataset.
why the stratify option is omitted from test_train_split function? 
 why the stratify option is omitted from test_train_split function?

is there any other way implement the stratify option while splitting the dataset? as it is important point to be considered while splitting the dataset. 
 Hi ! It's simply not added yet :)

If someone wants to contribute to add the `stratify` parameter I'd be happy to give some pointers.

In the meantime, I guess you can use `sklearn` or other tools to do a stratified train/test split over the **indices** of your dataset and then do
```
train_dataset = dataset.select(train_indices)
test_dataset = dataset.select(test_indices)
```