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Update README.md

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Fix some formatting in text (tables).

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@@ -38,38 +38,32 @@ An example from the dataset:
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  The average word token count are provided below:
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- Splits
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- Total of tokens (no spelling marks):
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- Train
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- 92,431,194
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- Test
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- 4,876,739
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- ## 5.2 Data Fields
 
 
 
 
 
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  The data have several fields:
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- AUTHOR: author of the text. It is anonymized for conversation authors.
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- DATE: date on which the text was entered in the corpus.
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- SENTENCE: text. It was automatically tokenized for sources other than conversations.
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- SOURCE: source of the texts.
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- TITLE: title of the text from which SENTENCE originates.
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- TOKENS: number of tokens (excluding punctuation marks) of SENTENCE.
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- TYPE: linguistic register of the text.
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-
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- ## 5.3 Data Splits
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-
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- Size of downloaded dataset files:
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- Size of the generated dataset:
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- Total amount of disk used:
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  The mammut-corpus-venezuela dataset has 2 splits: train and test. Below are the statistics:
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- Dataset Split
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- Number of Instances in Split
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- Train
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- 2,983,302
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- Test
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- 157,011
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  # 6. Dataset Creation
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  The average word token count are provided below:
 
 
 
 
 
 
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+ ## 5.2 Total of tokens (no spelling marks)**
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+
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+ Train: 92,431,194.
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+ Test: 4,876,739 (in another file).
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+
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+ ## 5.3 Data Fields
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  The data have several fields:
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+
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+ AUTHOR: author of the text. It is anonymized for conversation authors.
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+ DATE: date on which the text was entered in the corpus.
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+ SENTENCE: text. It was automatically tokenized for sources other than conversations.
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+ SOURCE: source of the texts.
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+ TITLE: title of the text from which SENTENCE originates.
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+ TOKENS: number of tokens (excluding punctuation marks) of SENTENCE.
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+ TYPE: linguistic register of the text.
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+
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+ ## 5.4 Data Splits
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+
 
 
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  The mammut-corpus-venezuela dataset has 2 splits: train and test. Below are the statistics:
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+ Number of Instances in Split.
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+ Train: 2,983,302.
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+ Test: 157,011.
 
 
 
 
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  # 6. Dataset Creation
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