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This repo is created to show case some of the NLP biases in data and algorithms

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nlp-biases

This repo is created to show case some of the NLP biases in data and algorithms. I am going to review popular NLP datasets to identify potential biases if models are built using those datasets.

1. Book-Crossing Analysis Dataset

This dataset contains 278,858 users (anonymized but with demographic information) providing 1,149,780 ratings (explicit / implicit) about 271,379 books.

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This repo is created to show case some of the NLP biases in data and algorithms

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