google-code-jam / README.md
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---
license: mit
---
This dataset is created by [DeepSim: deep learning code functional similarity](https://dl.acm.org/doi/10.1145/3236024.3236068).
I downloaded `googlejam4.tar.gz` from [parasol-aser/deepsim](https://github.com/parasol-aser/deepsim/), fixed encoding of `6/googlejam6.p261.Round1B.java` and `1/googlejam1.p815.MushroomMonster.java`, and re-compressed.
The `all` split (all 12 problems) is consistent with their paper (I guess...).
The `test` split (problem 5, 6, 7, 8, 12) is used in experiments of [Language Models are Universal Embedders](https://arxiv.org/pdf/2310.08232.pdf).
| problem | code num |
|---------|----------|
| 1 | 478 |
| 2 | 88 |
| 3 | 242 |
| 4 | 38 |
| 5 | 2 |
| 6 | 435 |
| 7 | 27 |
| 8 | 245 |
| 9 | 68 |
| 10 | 18 |
| 11 | 20 |
| 12 | 4 |