metadata
dataset_info:
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splits:
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num_examples: 500
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- config_name: Dutch
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- config_name: English
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- config_name: Greek
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- name: repo
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- config_name: Polish
features:
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- name: repo
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- name: path
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- name: content
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splits:
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num_bytes: 17812544
num_examples: 500
download_size: 7250273
dataset_size: 17812544
configs:
- config_name: Chinese
data_files:
- split: train
path: Chinese/train-*
- config_name: Dutch
data_files:
- split: train
path: Dutch/train-*
- config_name: English
data_files:
- split: train
path: English/train-*
- config_name: Greek
data_files:
- split: train
path: Greek/train-*
- config_name: Polish
data_files:
- split: train
path: Polish/train-*
Multilingual code comments
This dataset contains 500 source-code examples for each of Chinese, Dutch, English, Greek and Polish (2,500 examples total), with comments generated by five models and human correctness ratings and error annotations. Each language has a train split.
Human ratings use Correct, Partial and Incorrect. Error fields contain comma-separated taxonomy codes. A generated comment can carry multiple error codes.
Annotation interpretation
Stored human error codes use the original taxonomy identifiers. For analysis, exclude original LG-GR5 (capitalization), then map original LG-GR6 (cohesion) to normalized LG-GR5. The order matters: cohesion remains an error. Comments whose only annotated error is original LG-GR5 are rated Correct.
For English file 135838_2, CodeLlama, StarCoder2 and GraniteCode are rated Partial and annotated MS-RE1 and SE-HA3.
Data fields
The language configurations preserve source identifiers, repository and path, source content, reference comments, generation inputs and outputs, extracted generated comments, human ratings and error-code strings. Model-specific columns identify CodeGemma, CodeLlama, CodeQwen1.5, StarCoder2 and GraniteCode. Raw generation fields and extracted comments are distinct fields.