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path: "minictx-test/Seymour.jsonl"
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miniCTX-v2 is a context-rich dataset for evaluation of neural theorem proving under a more realistic scenario.
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## Example Entry
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An entry in the miniCTX dataset consists of the theorem statement, preceding file contents, and metadata information. For example, given the following theorem `s_eq_pow_two` in context:
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path: "minictx-test/Seymour.jsonl"
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miniCTX-v2 is a context-rich dataset for evaluation of neural theorem proving under a more realistic scenario.
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miniCTX-v2 is an updated version of miniCTX with new theorems extracted after a more recent cutoff date of November 28, 2024.
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See our [project page](https://cmu-l3.github.io/minictx/) for more details.
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## Example Entry
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An entry in the miniCTX dataset consists of the theorem statement, preceding file contents, and metadata information. For example, given the following theorem `s_eq_pow_two` in context:
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