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A raw code corpus for the Python programming language i.e., includes only the Python source files of each repository without any preprocessing. The corpus was used to generate the Python training, validation, testing, and BPE encoding sets for the experiments performed in the paper: Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 179 | |
| downloads | 156 |

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Downloads provided by UsageCounts