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README.md
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license: mit
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Many AI models have a hard time understanding what people are talking about when people ask: "what do you get when you add a horse and a boy?", or maybe "what do you get when you add a bull+boy+crowd". Many models today will answer the 1st question with 'horseboy', but fail to recognize that another answer might be 'cowboy', because a cowboy is a boy riding on a horse. For the second question, models might think 'a crowd of male bulls', but many models wont think of 'a rodeo' as an answer.
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This dataset aims to train a model to think not only about the most black and white answer, but to add some creativity and thoughtfulness to it.
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Of course, this dataset is not perfect, as it covers only a certain range of topics.
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**
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feel free to cite us in your work if you use this dataset :)
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license: mit
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---
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Many AI models have a hard time understanding what people are talking about when people ask: "what do you get when you add a horse and a boy?", or maybe "what do you get when you add a bull+boy+crowd". Many models today will answer the 1st question with 'horseboy', but fail to recognize that another answer might be 'cowboy', because a cowboy is a boy riding on a horse. For the second question, models might think 'a crowd of male bulls', but many models wont think of 'a rodeo' as an answer.
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+
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+
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This dataset aims to train a model to think not only about the most black and white answer, but to add some creativity and thoughtfulness to it.
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+
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+
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Of course, this dataset is not perfect, as it covers only a certain range of topics.
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+
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**Constructive feedback is welcome**
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feel free to cite us in your work if you use this dataset :)
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