Update README.md

README.md

@@ -16,19 +16,33 @@ The limitations of this model are that it can only generate text in the style of
 I created my own dataset to train this model. I chose 14 novels written by H G Wells for my dataset. Most of the novels in the dataset are of the genre science fiction. The dataset contains more than 1 million tokens.
 
 The texts included in the corpus are novels written by H G Wells. The novels in the corpus are:
-The Time Machine
-In the Days of the Comet
-The Food of the Gods
-Tales of Space and Time
-The World Set Free
-The War of the Worlds
-The First Men in the Moon
-The Invisible Man
-The Island of Doctor Moreau
-The Sleeper Awakes
-The War in the Air
-The Research Magnificient
-The Udying Fire
-The Red Room
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+The Time Machine - 37677
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+In the Days of the Comet - 95299
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+The Food of the Gods - 90723
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+Tales of Space and Time - 85850
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+The World Set Free - 74971
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+The War of the Worlds - 69530
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+The First Men in the Moon - 81517
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+The Invisible Man - 60581
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+The Island of Doctor Moreau - 52073
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+The Sleeper Awakes - 91274
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+The War in the Air - 115573
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+The Research Magnificient - 131866
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+The Udying Fire - 52036
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+The Red Room - 4618
 
 The total number of tokens in the corpus is 1043588