Merge pull request #2815 from activeloopai/docs_tweaks_2

docs tweaks

deeplake/core/dataset/dataset.py

@@ -2278,10 +2278,26 @@ def filter(
 
 
         Example:
-            Following filters are identical and return dataset view where all the samples have label equals to 2.
+            Return dataset view where all the samples have label equals to 2:
 
             >>> dataset.filter(lambda sample: sample.labels.numpy() == 2)
-            >>> dataset.filter('labels == 2')
+
+
+            Append one dataset onto another (only works if their structure is identical):
+
+            >>> @deeplake.compute
+            >>> def dataset_append(sample_in, sample_out):
+            >>>
+            >>>     sample_out.append(sample_in.tensors)
+            >>>
+            >>>     return sample_out
+            >>>
+            >>>
+            >>> dataset_append().eval(
+            >>>                 ds_in,
+            >>>                 ds_out,
+            >>>                 num_workers = 2
+            >>>            )
         """
         from deeplake.core.query import filter_dataset, query_dataset
 

docs/source/Htypes.rst

@@ -10,12 +10,10 @@ Htypes
 
 Htype is the class of a tensor: image, bounding box, generic tensor, etc.
 
-The htype of a tensor can be specified at its creation
+It is highly recommended to specify the htype during tensor creation. For numeric tensors, if htype is not specified, it defaults to "generic".
 
 >>> ds.create_tensor("my_tensor", htype="...")
 
-If not specified, the tensor's htype defaults to "generic".
-
 Specifying an htype allows for strict settings and error handling, and it is critical for increasing the performance of Deep Lake datasets containing rich data such as images and videos.
 
 Supported htypes and their respective defaults are: