tanganke/clip-vit-base-patch32_rendered-sst2
Feature Extraction
•
Updated
Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K - 10K
License:
Search is not available for this dataset
image
imagewidth (px) 448
448
| label
class label 2
classes |
|---|---|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
|
0negative
|
End of preview. Expand
in Dataset Viewer.
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 positive and 428 negative), and a test split containing 1821 images (909 positive and 912 negative).
- Downloads last month
- 148
Size of downloaded dataset files:
159 MB
Size of the auto-converted Parquet files:
159 MB
Number of rows:
9,613
Models trained or fine-tuned on nateraw/rendered-sst2