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README.md
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@@ -89,8 +89,14 @@ for prediction in predictions:
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prediction['score'] = logit(prediction['score'])
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print(predictions)
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```
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1
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## Citing
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If you use any of these resources (datasets or models) in your work, please cite our latest paper:
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```bibtex
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prediction['score'] = logit(prediction['score'])
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print(predictions)
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```
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Expected output:
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```
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[{'label': 'SIMILARITY', 'score': 2.4280577200108384},
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{'label': 'SIMILARITY', 'score': 2.132843521240822},
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{'label': 'SIMILARITY', 'score': 1.615101695426227}]
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```
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<sup>1</sup>:avoid using the widget scores since they are normalized and do not reflect the original annotation values.
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## Citing
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If you use any of these resources (datasets or models) in your work, please cite our latest paper:
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```bibtex
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