Datasets:
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README.md
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- text-classification
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language:
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- en
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---
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The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).
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- text-classification
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language:
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- en
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: label
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dtype: int64
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- name: sa
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dtype: int64
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splits:
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- name: train
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num_bytes: 178653084
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num_examples: 2241376
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download_size: 91283989
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dataset_size: 178653084
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---
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The Moji dataset (Blodgett et al., 2016) (http://slanglab.cs.umass.edu/TwitterAAE/) contains tweets used for sentiment analysis (either positive or negative sentiment), with additional information on the type of English used in the tweets which is a sensitive attribute considered in fairness-aware approaches (African-American English (AAE) or Standard-American English (SAE)).
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