Datasets:
Lino-Urdaneta-Mammut
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Update README.md
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README.md
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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
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The data have several fields:
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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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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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Train: 92,431,194.
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Test: 4,876,739 (in another file).
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## 5.3 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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## 5.4 Data Splits
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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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