--- dataset_info: - config_name: Chinese features: - name: file_id dtype: string - name: content dtype: string - name: repo dtype: string - name: path dtype: string - name: original_comment dtype: string - name: masked_data_Qwen/CodeQwen1.5-7B dtype: string - name: predict_Qwen/CodeQwen1.5-7B dtype: string - name: predicted_comment_Qwen/CodeQwen1.5-7B dtype: string - name: masked_data_bigcode/starcoder2-7b dtype: string - name: predict_bigcode/starcoder2-7b dtype: string - name: predicted_comment_bigcode/starcoder2-7b dtype: string - name: masked_data_ibm-granite/granite-8b-code-base dtype: string - name: predict_ibm-granite/granite-8b-code-base dtype: string - name: predicted_comment_ibm-granite/granite-8b-code-base dtype: string - name: masked_data_meta-llama/CodeLlama-7b-hf dtype: string - name: predict_meta-llama/CodeLlama-7b-hf dtype: string - name: predicted_comment_meta-llama/CodeLlama-7b-hf dtype: string - name: masked_data_google/codegemma-7b dtype: string - name: predict_google/codegemma-7b dtype: string - name: predicted_comment_google/codegemma-7b dtype: string - name: expert_accuracy_Qwen/CodeQwen1.5-7B dtype: string - name: error_codes_Qwen/CodeQwen1.5-7B dtype: string - name: expert_accuracy_bigcode/starcoder2-7b dtype: string - name: error_codes_bigcode/starcoder2-7b dtype: string - name: expert_accuracy_google/codegemma-7b dtype: string - name: error_codes_google/codegemma-7b dtype: string - name: expert_accuracy_ibm-granite/granite-8b-code-base dtype: string - name: error_codes_ibm-granite/granite-8b-code-base dtype: string - name: expert_accuracy_meta-llama/CodeLlama-7b-hf dtype: string - name: error_codes_meta-llama/CodeLlama-7b-hf dtype: string splits: - name: train num_bytes: 21709444 num_examples: 500 download_size: 9007265 dataset_size: 21709444 - config_name: Dutch features: - name: file_id dtype: string - name: content dtype: string - name: repo dtype: string - name: path dtype: string - name: original_comment dtype: string - name: masked_data_Qwen/CodeQwen1.5-7B dtype: string - name: predict_Qwen/CodeQwen1.5-7B dtype: string - name: predicted_comment_Qwen/CodeQwen1.5-7B dtype: string - name: masked_data_bigcode/starcoder2-7b dtype: string - name: expert_accuracy_Qwen/CodeQwen1.5-7B dtype: string - name: error_codes_Qwen/CodeQwen1.5-7B dtype: string - name: predict_bigcode/starcoder2-7b dtype: string - name: predicted_comment_bigcode/starcoder2-7b dtype: string - name: masked_data_ibm-granite/granite-8b-code-base dtype: string - name: expert_accuracy_bigcode/starcoder2-7b dtype: string - name: error_codes_bigcode/starcoder2-7b dtype: string - name: predict_ibm-granite/granite-8b-code-base dtype: string - name: predicted_comment_ibm-granite/granite-8b-code-base dtype: string - name: masked_data_meta-llama/CodeLlama-7b-hf dtype: string - name: expert_accuracy_ibm-granite/granite-8b-code-base dtype: string - name: error_codes_ibm-granite/granite-8b-code-base dtype: string - name: predict_meta-llama/CodeLlama-7b-hf dtype: string - name: predicted_comment_meta-llama/CodeLlama-7b-hf dtype: string - name: masked_data_google/codegemma-7b dtype: string - name: expert_accuracy_meta-llama/CodeLlama-7b-hf dtype: string - name: error_codes_meta-llama/CodeLlama-7b-hf dtype: string - name: predict_google/codegemma-7b dtype: string - name: predicted_comment_google/codegemma-7b dtype: string - name: expert_accuracy_google/codegemma-7b dtype: string - name: error_codes_google/codegemma-7b dtype: string splits: - name: train num_bytes: 24547573 num_examples: 500 download_size: 9149421 dataset_size: 24547573 - config_name: English features: - name: file_id dtype: string - name: content dtype: string - name: repo dtype: string - name: path dtype: string - name: original_comment dtype: string - name: masked_data_Qwen/CodeQwen1.5-7B dtype: string - name: predict_Qwen/CodeQwen1.5-7B dtype: string - name: predicted_comment_Qwen/CodeQwen1.5-7B dtype: string - name: masked_data_bigcode/starcoder2-7b dtype: string - name: predict_bigcode/starcoder2-7b dtype: string - name: predicted_comment_bigcode/starcoder2-7b dtype: string - name: masked_data_ibm-granite/granite-8b-code-base dtype: string - name: predict_ibm-granite/granite-8b-code-base dtype: string - name: predicted_comment_ibm-granite/granite-8b-code-base dtype: string - name: masked_data_meta-llama/CodeLlama-7b-hf dtype: string - name: predict_meta-llama/CodeLlama-7b-hf dtype: string - name: predicted_comment_meta-llama/CodeLlama-7b-hf dtype: string - name: masked_data_google/codegemma-7b dtype: string - name: predict_google/codegemma-7b dtype: string - name: predicted_comment_google/codegemma-7b dtype: string - name: error_codes_Qwen/CodeQwen1.5-7B dtype: string - name: expert_accuracy_Qwen/CodeQwen1.5-7B dtype: string - name: error_codes_bigcode/starcoder2-7b dtype: string - name: expert_accuracy_bigcode/starcoder2-7b dtype: string - name: error_codes_ibm-granite/granite-8b-code-base dtype: string - name: expert_accuracy_ibm-granite/granite-8b-code-base dtype: string - name: error_codes_meta-llama/CodeLlama-7b-hf dtype: string - name: expert_accuracy_meta-llama/CodeLlama-7b-hf dtype: string - name: error_codes_google/codegemma-7b dtype: string - name: expert_accuracy_google/codegemma-7b dtype: string splits: - name: train num_bytes: 20576452 num_examples: 500 download_size: 8169164 dataset_size: 20576452 - config_name: Greek features: - name: file_id dtype: string - name: content dtype: string - name: repo dtype: string - name: path dtype: string - name: original_comment dtype: string - name: masked_data_Qwen/CodeQwen1.5-7B dtype: string - name: predict_Qwen/CodeQwen1.5-7B dtype: string - name: predicted_comment_Qwen/CodeQwen1.5-7B dtype: string - name: masked_data_bigcode/starcoder2-7b dtype: string - name: predict_bigcode/starcoder2-7b dtype: string - name: predicted_comment_bigcode/starcoder2-7b dtype: string - name: masked_data_ibm-granite/granite-8b-code-base dtype: string - name: predict_ibm-granite/granite-8b-code-base dtype: string - name: predicted_comment_ibm-granite/granite-8b-code-base dtype: string - name: masked_data_meta-llama/CodeLlama-7b-hf dtype: string - name: predict_meta-llama/CodeLlama-7b-hf dtype: string - name: predicted_comment_meta-llama/CodeLlama-7b-hf dtype: string - name: masked_data_google/codegemma-7b dtype: string - name: predict_google/codegemma-7b dtype: string - name: predicted_comment_google/codegemma-7b dtype: string - name: error_codes_bigcode/starcoder2-7b dtype: string - name: error_codes_ibm-granite/granite-8b-code-base dtype: string - name: error_codes_meta-llama/CodeLlama-7b-hf dtype: string - name: error_codes_google/codegemma-7b dtype: string - name: error_codes_Qwen/CodeQwen1.5-7B dtype: string - name: expert_accuracy_bigcode/starcoder2-7b dtype: string - name: expert_accuracy_ibm-granite/granite-8b-code-base dtype: string - name: expert_accuracy_meta-llama/CodeLlama-7b-hf dtype: string - name: expert_accuracy_google/codegemma-7b dtype: string - name: expert_accuracy_Qwen/CodeQwen1.5-7B dtype: string splits: - name: train num_bytes: 25228509 num_examples: 500 download_size: 8978147 dataset_size: 25228509 - config_name: Polish features: - name: file_id dtype: string - name: repo dtype: string - name: path dtype: string - name: content dtype: string - name: original_comment dtype: string - name: masked_data_Qwen/CodeQwen1.5-7B dtype: string - name: predict_Qwen/CodeQwen1.5-7B dtype: string - name: predicted_comment_Qwen/CodeQwen1.5-7B dtype: string - name: masked_data_bigcode/starcoder2-7b dtype: string - name: predict_bigcode/starcoder2-7b dtype: string - name: predicted_comment_bigcode/starcoder2-7b dtype: string - name: masked_data_ibm-granite/granite-8b-code-base dtype: string - name: predict_ibm-granite/granite-8b-code-base dtype: string - name: predicted_comment_ibm-granite/granite-8b-code-base dtype: string - name: masked_data_meta-llama/CodeLlama-7b-hf dtype: string - name: predict_meta-llama/CodeLlama-7b-hf dtype: string - name: predicted_comment_meta-llama/CodeLlama-7b-hf dtype: string - name: masked_data_google/codegemma-7b dtype: string - name: predict_google/codegemma-7b dtype: string - name: predicted_comment_google/codegemma-7b dtype: string - name: error_codes_Qwen/CodeQwen1.5-7B dtype: string - name: expert_accuracy_Qwen/CodeQwen1.5-7B dtype: string - name: error_codes_bigcode/starcoder2-7b dtype: string - name: expert_accuracy_bigcode/starcoder2-7b dtype: string - name: error_codes_ibm-granite/granite-8b-code-base dtype: string - name: expert_accuracy_ibm-granite/granite-8b-code-base dtype: string - name: error_codes_meta-llama/CodeLlama-7b-hf dtype: string - name: expert_accuracy_meta-llama/CodeLlama-7b-hf dtype: string - name: error_codes_google/codegemma-7b dtype: string - name: expert_accuracy_google/codegemma-7b dtype: string splits: - name: train 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.