12 lines
598 B
Markdown
12 lines
598 B
Markdown
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# The Rendered SST2 Dataset
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In the paper, we used an image classification dataset called Rendered SST2, to evaluate the model's capability on optical character recognition. To do so, we rendered the sentences in the [Standford Sentiment Treebank v2](https://nlp.stanford.edu/sentiment/treebank.html) dataset and used those as the input to the CLIP image encoder.
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The following command will download a 131MB archive countaining the images and extract into a subdirectory `rendered-sst2`:
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```bash
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wget https://openaipublic.azureedge.net/clip/data/rendered-sst2.tgz
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tar zxvf rendered-sst2.tgz
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```
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