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- # Annoy: This should be a paper Title
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- <p align="left">
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- πŸ“‘ <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp πŸ’Ύ <a href="https://huggingface.co/collections/toolathlon-2556/specx-67a978e28fd926b56a4f55a2" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp πŸ“¦ <a href="https://github.com/toolathlon/Annoy" target="_blank">Repo</a>
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- We release the raw data for our processed PythonEdu-Rs dataset, adopted from the original dataset from HuggingFaceTB team.
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- The data format for each line in the `0_368500_filtered_v2_ds25.sced.jsonl` is as follows:
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-
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- ```
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- {
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- "problem_description": <the problem description of the function>,
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- "io_requirements": <the input/output requirements and constraints>,
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- "refcode": <the reference code, including imported packages (optional), auxiliary functions (optional) and main entrypoint function>,
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- "funcname": <the function name for the entrypoint function>,
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- "ios": [
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- {
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- "input": <the input arguments>,
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- "output":<the returned value>
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- },
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- ...
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- ],
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- "source": <the source of the raw code files>,
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- "category": <the reasoning type we assign to this sample>,
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- "meta": <meta information about this sample>
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- }
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- ```
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-
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- Some of the `ios` are empty. The reason is that when executing the code, the input/output sizes are too large and exceed our required constraints. Thus, they are not stored or used later.
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- *Note: Due to imperfect LLM-based transformations, some problem descriptions do not contain enough information to describe the code. We leave this as future work to further enhance our data and update it to a better version.
 
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