Update README.md

README.md

@@ -10,10 +10,16 @@ license: mit
 metrics:
 - f1
 widget:
-- text: "Poems on various subjects. Whereto is prefixed a short essay on the structure of English verse"
-- text: "Two Centuries of Soho: its institutions, firms, and amusements. By the Clergy of St. Anne's, Soho, J. H. Cardwell ... H. B. Freeman ... G. C. Wilton ... assisted by other contributors, etc"
-- text: "The Adventures of Oliver Twist. [With plates.]"
-
+- text: >-
+    Poems on various subjects. Whereto is prefixed a short essay on the
+    structure of English verse
+- text: >-
+    Two Centuries of Soho: its institutions, firms, and amusements. By the
+    Clergy of St. Anne's, Soho, J. H. Cardwell ... H. B. Freeman ... G. C.
+    Wilton ... assisted by other contributors, etc
+- text: The Adventures of Oliver Twist. [With plates.]
+datasets:
+- blbooksgenre
 ---
 
 # British Library Books Genre Detector 
@@ -119,12 +125,11 @@ If you intend to use this model beyond initial experimentation, it is highly rec
 
 
 ## Training data
-The training data for this model will soon be available from the British Libary Research Repository. This section will be updated once this dataset is made public.   
 
-The training data was created using the [Zooniverse platform](zooniverse.org/) and the annotations were done by cataloguers from the [British Library](https://www.bl.uk/). [Snorkel](https://github.com/snorkel-team/snorkel) was used to expand on this original training data through various labelling functions. As a result, some of the labels are *not* generated by a human. More information on the process of creating the annotations will soon be available as part of a series of tutorials documenting this piece of work. 
+The training data was created using the [Zooniverse platform](zooniverse.org/) and the annotations were done by cataloguers from the [British Library](https://www.bl.uk/). [Snorkel](https://github.com/snorkel-team/snorkel) was used to expand on this original training data through various labelling functions. As a result, some of the labels are *not* generated by a human. More information on the process of creating the annotations can be found [here](https://github.com/Living-with-machines/genre-classification)
 
 ## Training procedure
-The model was trained using the [`blurr`](https://github.com/ohmeow/blurr) library. A notebook showing the training process will be made available soon. 
+The model was trained using the [`blurr`](https://github.com/ohmeow/blurr) library. A notebook showing the training process can be found in [Predicting Genre with Machine Learning](https://github.com/Living-with-machines/genre-classification).
 
 ## Eval results