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README.md
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- sentiment-analysis
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# Indolem Sentiment
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IndoLEM (Indonesian Language Evaluation Montage) is a comprehensive Indonesian benchmark that comprises of seven tasks for the Indonesian language. This benchmark is categorized into three pillars of NLP tasks: morpho-syntax, semantics, and discourse.
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This dataset is based on binary classification (positive and negative), with distribution:
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## Supported Tasks
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Sentiment Analysis
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## Dataset Usage
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### Using `datasets` library
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- sentiment-analysis
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IndoLEM (Indonesian Language Evaluation Montage) is a comprehensive Indonesian benchmark that comprises of seven tasks for the Indonesian language. This benchmark is categorized into three pillars of NLP tasks: morpho-syntax, semantics, and discourse.
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This dataset is based on binary classification (positive and negative), with distribution:
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## Supported Tasks
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Sentiment Analysis
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## Dataset Usage
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### Using `datasets` library
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