message: Small documentation corrections
diff: @@ -96,9 +96,9 @@ class IOTensor(io_tensor_ops._IOTensor): # pylint: disable=protected-access
  expensive resource. It is also imperative to fit data in GPU memory for
  speed up purposes. From that perspective lazy read could be very helpful.
  - ### Association of Meta Data
  + ### Association of Metadata
  - While a file format could consist of mostly numeric data, in may situations
  + While a file format could consist of mostly numeric data, in many situations
  the metadata is important as well. For example, in audio file format the
  sample rate is a number that is necessary for almost everything. Association
  of the sample rate with the sample of int16 Tensor is more helpful,
  @@ -143,8 +143,8 @@ class IOTensor(io_tensor_ops._IOTensor): # pylint: disable=protected-access
  ### Access Columns of Tabular Data Formats
  - May file formats such as Parquet or Json are considered as Tabular because
  - they consists of columns in a table. With `IOTensor` it is possible to
  + Many file formats such as Parquet or Json are considered as Tabular because
  + they consist of columns in a table. With `IOTensor` it is possible to
  access individual columns through `__call__()`.
  Example:
  @@ -164,11 +164,11 @@ class IOTensor(io_tensor_ops._IOTensor): # pylint: disable=protected-access
  ... <dtype: 'float64'>
  ```
  - ### Conversion from and to Tensor and Dataset
  + ### Conversion to Tensor and Dataset
  - When needed, `IOTensor` could be converted into a `Tensor` (through
  + When needed, `IOTensor` can be converted into a `Tensor` (through
  `to_tensor()`, or a `tf.data.Dataset` (through `to_dataset()`, to
  - suppor operations that is only available through `Tensor` or
  + support operations that are only available through `Tensor` or
  `tf.data.Dataset`.
  Example:
  