Language Models are Universal Embedders
Paper • 2310.08232 • Published • 2
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This dataset is created by DeepSim: deep learning code functional similarity.
I downloaded googlejam4.tar.gz from 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.
| 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 |
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