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  - data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on
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  - data de-duplicated on a basic level: exactly duplicate prompts were dropped (_after cleaning and normalization_)
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  - data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on
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  - data de-duplicated on a basic level: exactly duplicate prompts were dropped (_after cleaning and normalization_)
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+
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+ ## contents
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+
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+ ```
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+ DatasetDict({
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+ train: Dataset({
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+ features: ['text', 'src_dataset'],
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+ num_rows: 3551734
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+ })
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+ test: Dataset({
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+ features: ['text', 'src_dataset'],
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+ num_rows: 399393
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+ })
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+ })
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+ ```
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+
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+ _NOTE: as the other two datasets did not have a `validation` split, the validation split of `succinctly/midjourney-prompts` was merged into `train`._