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Update wit.py

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  1. wit.py +2 -2
wit.py CHANGED
@@ -3,14 +3,14 @@ import json
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  import datasets
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  from datasets import Features, Sequence, Value
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- _CITATION = """\\n@article{srinivasan2021wit,
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  title={WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning},
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  author={Srinivasan, Krishna and Raman, Karthik and Chen, Jiecao and Bendersky, Michael and Najork, Marc},
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  journal={arXiv preprint arXiv:2103.01913},
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  year={2021}
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  }
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  """
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- _DESCRIPTION = """\\nWikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set
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  of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its
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  size enables WIT to be used as a pretraining dataset for multimodal machine learning models.
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  """
 
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  import datasets
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  from datasets import Features, Sequence, Value
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+ _CITATION = """@article{srinivasan2021wit,
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  title={WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning},
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  author={Srinivasan, Krishna and Raman, Karthik and Chen, Jiecao and Bendersky, Michael and Najork, Marc},
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  journal={arXiv preprint arXiv:2103.01913},
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  year={2021}
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  }
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  """
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+ _DESCRIPTION = """Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set
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  of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its
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  size enables WIT to be used as a pretraining dataset for multimodal machine learning models.
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  """