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The **StakcMIAsub** dataset serves as a benchmark for membership inference attack (MIA) topic. **StackMIAsub** is build based on the [Stack Exchange](https://archive.org/details/stackexchange) corpus, which is widely used for pre-training. See our paper (to-be-released) for detailed description.
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## Applicability
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Our dataset supports most white- and black-box models, which are released before May 2024 and pretrained with Stack Exchange corpus:
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- **Black-box OpenAI models:**
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- *text-davinci-001*
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- *GPT-J*
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- *OPT*
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- *StableLM*
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- Falcon*
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- *...*
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## Related repo
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The **StakcMIAsub** dataset serves as a benchmark for membership inference attack (MIA) topic. **StackMIAsub** is build based on the [Stack Exchange](https://archive.org/details/stackexchange) corpus, which is widely used for pre-training. See our paper (to-be-released) for detailed description.
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## Data format
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**StakcMIAsub** is formatted as a `jsonlines` file in the following manner:
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```json
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{"snippet": "SNIPPET1", "label": 1 or 0}
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{"snippet": "SNIPPET2", "label": 1 or 0}
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...
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```
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- 📌 *label 1* denotes to members, while *label 0* denotes to non-members.
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## Applicability
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Our dataset supports most white- and black-box models, which are <span style="color:red;">released before May 2024 and pretrained with Stack Exchange corpus</span> :
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- **Black-box OpenAI models:**
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- *text-davinci-001*
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- *GPT-J*
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- *OPT*
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- *StableLM*
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- *Falcon*
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- *...*
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## Related repo
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