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README.md
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@@ -20,14 +20,14 @@ This dataset contains Arabic text snippets, each labeled with a sentiment polari
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- Sentiment Label: Categorical label indicating the polarity of the text. The observed labels are 'pos' (positive) and 'neg' (negative).
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- Text: A string containing the Arabic text snippet.
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6. Instances (Estimated)
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- The exact number of instances could not be determined as the full file contents were not available.
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- Based on the source identifiers seen in the snippets:
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- train.tsv contains approximately 1853 instances (highest source ID seen is 1853).
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- test.tsv contains approximately 3142 instances (highest source ID seen is 3142).
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7. Potential Use Cases
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- Training and evaluating sentiment analysis models for Arabic text.
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- Sentiment Label: Categorical label indicating the polarity of the text. The observed labels are 'pos' (positive) and 'neg' (negative).
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- Text: A string containing the Arabic text snippet.
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+
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6. Instances (Estimated)
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- The exact number of instances could not be determined as the full file contents were not available.
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- Based on the source identifiers seen in the snippets:
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- train.tsv contains approximately 1853 instances (highest source ID seen is 1853).
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- test.tsv contains approximately 3142 instances (highest source ID seen is 3142).
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+
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7. Potential Use Cases
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- Training and evaluating sentiment analysis models for Arabic text.
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