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README.md
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splits:
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- name: train
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num_bytes: 297
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num_examples: 1
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download_size: 9782
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dataset_size: 297
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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license: other
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pretty_name: auditkit-testrun-guard-judge
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task_categories:
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- text-generation
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tags:
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- auditkit
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- lexsi-labs
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- evaluation
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- run
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---
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<div align="center">
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<table border="0" cellspacing="0" cellpadding="0" style="border: none; border-collapse: collapse;">
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<tr>
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<td align="center" style="border: none; vertical-align: middle;">
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<a href="https://lexsi.ai/"><img src="https://huggingface.co/datasets/ram-lexsi/auditkit-testrun-guard-judge/resolve/main/auditkit_logo.png" alt="AuditKIT" style="height: 60px; border-radius: 12px;"/></a>
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</td>
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</tr>
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</table>
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</div>
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# auditkit-testrun-guard-judge
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Built using [AuditKIT](https://github.com/Lexsi-Labs/AuditKIT) — evaluate any model on any dataset and any task.
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| | |
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|---|---|
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| **Method** | evaluate |
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| **Model** | `<auditkit.model.CallableModel object at 0x7b8d97f8b9d0>` |
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| **Artifact** | run |
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| **Published** | 2026-09-01 13:11 UTC |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("ram-lexsi/auditkit-testrun-guard-judge")
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```
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