readme: cleanup
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README.md
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We create a 80/10/10 dataset split from the gold standard annotations, using the [`0ecb222`](https://github.com/lucijakrusic/SentiAnno/tree/0ecb2228e6c290dd22836024f32e559cc9b9711e) revision.
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Label negative has 447 sentences
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Label mixed has 56 sentences
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Label positive has 81 sentences
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Label neutral has 345 sentences
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For each label category (`positive`, `negative`, `neutral`, `mixed`) this dataset split ratio is performed leading to:
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* 741 training examples
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We create a 80/10/10 dataset split from the gold standard annotations, using the [`0ecb222`](https://github.com/lucijakrusic/SentiAnno/tree/0ecb2228e6c290dd22836024f32e559cc9b9711e) revision.
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For each label category (`positive`, `negative`, `neutral`, `mixed`) this dataset split ratio is performed leading to:
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* 741 training examples
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