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  1. .gitattributes +1 -0
  2. README.md +13 -0
  3. dev.json +3 -0
  4. test.json +3 -0
  5. train.json +3 -0
.gitattributes CHANGED
@@ -34,6 +34,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
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  # Audio files - uncompressed
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  *.pcm filter=lfs diff=lfs merge=lfs -text
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  *.sam filter=lfs diff=lfs merge=lfs -text
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.json filter=lfs diff=lfs merge=lfs -text
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  # Audio files - uncompressed
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  *.pcm filter=lfs diff=lfs merge=lfs -text
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  *.sam filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ license: mit
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+ ---
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+
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+ # Yelp Review Dataset
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+
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+ **Disclaimer:** I do not own or manage this dataset. It is sourced from the paper *[USB: A Unified Semi-Supervised Learning Benchmark for Classification](https://arxiv.org/pdf/2208.07204)* by Wang et al., published in *Advances in Neural Information Processing Systems (NeurIPS 2022)*.
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+ The original paper provided all datasets in a single, large file. To improve usability and convenience, I have separated the Yelp Review dataset and saved it in this repository, making it easier for users to download only the specific datasets they need.
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+ For more information, please refer to the following links:
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+ - **Paper**: [https://arxiv.org/pdf/2208.07204](https://arxiv.org/pdf/2208.07204)
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+ - **GitHub**: [https://github.com/microsoft/semi-supervised-learning](https://github.com/microsoft/semi-supervised-learning)
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