Update README.md

jsl/sent/README.md

@@ -29,37 +29,3 @@ There are two different environment types which stand for the type of supervised
 - Regression Environment
 
 In order to use your own dataset, 
-
-1. You should define two functions which returns `x_train_generator` and  `x_test_generator`, respectively. Both of them should look like 
-
-```
-def make_x_sampler(input_dim: int):
-    def x_train_sampler(key: chex.PRNGKey, num_samples: int):
-        ...
-        return X
-    return x_sampler
-```
-
-2.  You should define sample_fn as follows:
-
-```
-def sample_fn(apply_fn: Callable,
-                         x_generator: Callable,
-                         num_train: int,
-                         key: chex.PRNGKey):
-                
-  x_train = x_generator(key,  num_train)
-  y_train = ...
-   ...
-  data = (x_train, y_train)
-  return data
-```
-Note that `apply_fn` is usually used for creating synthetic dataset.
-
-## How to run
-
-You can either create your own config file or use the predefined ones. Then, you should run
-
-```
-python3 -m jsl.gym_envs.run --config <path-of-config-file>
-```