nateraw/rendered-sst2
Rendered SST-2 The Rendered SST-2 Dataset from Open AI. Rendered SST2 is an image classification dataset used to evaluate the models capability on optical character recognition. This dataset was generated by rendering sentences in the Standford Sentiment Treebank v2 dataset. This dataset contains two classes (positive and negative) and is divided in three splits: a train split containing 6920 images (3610 positive and 3310 negative), a validation split containing 872 images (444… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/rendered-sst2.
| Author / organization | nateraw |
|---|---|
| License (as declared) | unknown |
| Downloads | 3.6K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 15 June 2022 |
| Last updated at source | 25 October 2022 |
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3,619 now (-97 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- tanganke/clip-vit-base-patch32_rendered-sst2Model · used to train
- tanganke/clip-vit-base-patch16_rendered-sst2Model · used to train
- tanganke/clip-vit-large-patch14_rendered-sst2Model · used to train
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