Datasets:
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README.md
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## 💡 Motivation
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Machine learning models in real-world clinical settings must detect and reason about anomalies they have **never seen during training**. Current benchmarks mostly focus on known, curated categories—collapsing evaluation back into a **closed-set** problem and overstating model robustness.
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## 📦 Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("Ano-2090/Nova")
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```
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## ⚠️ Intended Use
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## 📦 Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("Ano-2090/Nova")
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```
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[Run in Colab](https://colab.research.google.com/github/Ano-2090/Nova/blob/main/example.ipynb)
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---
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## 💡 Motivation
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Machine learning models in real-world clinical settings must detect and reason about anomalies they have **never seen during training**. Current benchmarks mostly focus on known, curated categories—collapsing evaluation back into a **closed-set** problem and overstating model robustness.
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## ⚠️ Intended Use
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