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0a04cfc f2aa138 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | # Annoy: This should be a paper Title
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📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://specx.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/lovebird-ll/specx-67a978e28fd926b56a4f55a2" target="_blank">Released Resources</a>    |    📦 <a href="https://github.com/anmat-d-techroar/Annoy" target="_blank">Repo</a>
We release the raw data for our processed PythonEdu-Rs dataset, adopted from the original dataset from HuggingFaceTB team.
The data format for each line in the `0_368500_filtered_v2_ds25.sced.jsonl` is as follows:
```
{
"problem_description": <the problem description of the function>,
"io_requirements": <the input/output requirements and constraints>,
"refcode": <the reference code, including imported packages (optional), auxiliary functions (optional) and main entrypoint function>,
"funcname": <the function name for the entrypoint function>,
"ios": [
{
"input": <the input arguments>,
"output":<the returned value>
},
...
],
"source": <the source of the raw code files>,
"category": <the reasoning type we assign to this sample>,
"meta": <meta information about this sample>
}
```
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.
*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.
**License**
The license for this dataset is ODC-BY. |