Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Commit
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Parent(s):
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Update README.md
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README.md
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- Lemmas: Words obtained from splitting the text data.
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- TF-IDF values: Quantitative measures of word importance within the documents.
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## Intended Use
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This dataset is intended for use in WSD and WordNet integration tasks. It provides foundational data for natural language processing (NLP) research and applications, specifically focusing on understanding word meanings and contextual usage.
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- Lemmas: Words obtained from splitting the text data.
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- TF-IDF values: Quantitative measures of word importance within the documents.
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## Note
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The number of elements in **Lemma** and **Lemma_tfidf** might not match. This is because **Lemma** is based on original dataset and might contain compound words, which might not be recognized by TF-IDF algorithm.
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## Intended Use
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This dataset is intended for use in WSD and WordNet integration tasks. It provides foundational data for natural language processing (NLP) research and applications, specifically focusing on understanding word meanings and contextual usage.
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