Test change package link

Author: alanakbik

docs/tutorial/tutorial-training/how-to-load-prepared-dataset.md

@@ -115,7 +115,8 @@ This will print out the created dictionary:
 Dictionary with 17 tags: PROPN, PUNCT, ADJ, NOUN, VERB, DET, ADP, AUX, PRON, PART, SCONJ, NUM, ADV, CCONJ, X, INTJ, SYM
 ```
 
-#### Dictionaries for other label types
+
+### Printing label statistics
 
 If you don't know the label types in a corpus, just call [`Corpus.make_label_dictionary`](#flair.data.Corpus.make_label_dictionary) with
 any random label name (e.g. `corpus.make_label_dictionary(label_type='abcd')`). This will print
@@ -139,17 +140,6 @@ tense_dictionary = corpus.make_label_dictionary(label_type='number')
 If you print these dictionaries, you will find that the POS dictionary contains 50 tags and the number dictionary only 2 for this corpus (singular and plural).
 
 
-#### Dictionaries for other corpora types
-
-The method [`Corpus.make_label_dictionary`](#flair.data.Corpus.make_label_dictionary) can be used for any corpus, including text classification corpora:
-
-```python
-# create label dictionary for a text classification task
-from flair.datasets import TREC_6
-corpus = TREC_6()
-corpus.make_label_dictionary('question_class')
-```
-
 ### The MultiCorpus Object
 
 If you want to train multiple tasks at once, you can use the [`MultiCorpus`](#flair.data.MultiCorpus) object.
@@ -181,7 +171,7 @@ The following datasets are supported:
 
 | Task                                | Module                                                                                                                                      |
 |-------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
-| Named Entity Recognition            | [flair.datasets.sequence_labeling](#flair.datasets.sequence_labeling)                                                                       |
+| Named Entity Recognition            | [flair.datasets.sequence_labeling](../../api/datasets/sequence_labeling.html)                                                                                                  |
 | Text Classification                 | [flair.datasets.document_classification](#flair.datasets.document_classification)                                                           |
 | Text Regression                     | [flair.datasets.document_classification](#flair.datasets.document_classification)                                                           |
 | Biomedical Named Entity Recognition | [flair.datasets.biomedical](#flair.datasets.biomedical)                                                                                     |