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  ### Dataset Summary
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- This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (`age, `gend``er` an) as waaaell aas a `timestamp` of when the inferences took
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  ### Supported Tasks and Leaderboards
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- [More Information Needed]
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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  ### Dataset Summary
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+ This dataset was crafted to be used in our tutorial [Link to the tutorial when ready]. It consists on a large Movie Review Dataset mixed with some reviews from a Hotel Review Dataset. The training/validation set are purely obtained from the Movie Review Dataset while the production set is mixed. Some other features have been added (`age`, `gender`, `context`) as well as a made up timestamp `prediction_ts` of when the inference took place.
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  ### Supported Tasks and Leaderboards
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+ `text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the text, predict the sentiment (positive or negative).
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  ### Languages
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+ Text is mainly written in english.
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  ## Dataset Structure
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