数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
This report presents the forensic synthetic code analysis of datawhalechina/competition-baseline, a Jupyter Notebook project with 4,753 GitHub stars. SynthScan v2.0 examined 13,759 lines of code across 147 source files, recording 522 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 40.0 places this repository in the Strong AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 522 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 5 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 7 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 8 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 8 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 10 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 14 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 14 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 14 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 24 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 26 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 28 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 29 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 30 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 2 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 3 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 5 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 7 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 8 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 8 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 10 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 14 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 14 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 24 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 26 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 28 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 30 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 2 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 2 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 2 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 2 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 5 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 7 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 8 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 8 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 10 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 14 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 14 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 14 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 26 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 28 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 29 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 30 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 2 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 2 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 2 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 3 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 5 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 7 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 8 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 8 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 10 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 14 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 14 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 26 | CODE | |
| 411 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-人脸年龄识别/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-人脸年龄识别/1_train_pretrain.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-肺炎X光病灶识别/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-胸腔X光肺炎检测/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-美食识别挑战(1):豆腐VS土豆/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | competition/yanxishe-喵脸关键点检测/1_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| HIGH | …etition/kaggle-quickdraw-doodle-recognition/2_train.py | 0 | computes the accuracy over the k top predictions for the specified values of k | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py | 67 | CODE | |
| LOW | competition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py | 127 | CODE | |
| LOW | …tition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/2_predict.py | 68 | CODE | |
| LOW | …petition/科大讯飞AI开发者大赛-脑PET图像分析和疾病预测挑战赛算法挑战大赛/1_train.py | 123 | CODE | |
| LOW | competition/yanxishe-人脸年龄识别/1_train.py | 131 | CODE | |
| LOW | competition/yanxishe-人脸年龄识别/1_train_pretrain.py | 132 | CODE | |
| LOW | competition/yanxishe-人脸年龄识别/2_predit.py | 67 | CODE | |
| LOW | competition/yanxishe-肺炎X光病灶识别/2_predict.py | 67 | CODE | |
| LOW | competition/yanxishe-肺炎X光病灶识别/1_train.py | 136 | CODE | |
| LOW | competition/yanxishe-胸腔X光肺炎检测/2_predict.py | 67 | CODE | |
| LOW | competition/yanxishe-胸腔X光肺炎检测/1_train.py | 127 | CODE | |
| LOW | …nyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2_tta.py | 40 | CODE | |
| LOW | …n/TinyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2.py | 36 | CODE | |
| LOW | …Mind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/models/crnn.py | 179 | CODE | |
| LOW | competition/yanxishe-美食识别挑战(1):豆腐VS土豆/2_predict.py | 67 | CODE | |
| LOW | competition/yanxishe-美食识别挑战(1):豆腐VS土豆/1_train.py | 127 | CODE | |
| LOW | competition/yanxishe-喵脸关键点检测/2_predict.py | 67 | CODE | |
| LOW | competition/yanxishe-喵脸关键点检测/1_train.py | 130 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py | 47 | # ====================================================== | COMMENT |
| MEDIUM | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py | 49 | # ====================================================== | COMMENT |
| MEDIUM | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py | 74 | # ====================================================== | COMMENT |
| MEDIUM | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py | 76 | # ====================================================== | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | competition/Kesci-中国华录杯人群密度检测/test.py | 41 | COMMENT | |
| LOW | competition/Kesci-中国华录杯人群密度检测/test.py | 81 | w_d = w/2 | COMMENT |
| LOW | … APP Users/2_baseline_1203_Train0.77218_Test0.76203.py | 521 | COMMENT | |
| LOW | … APP Users/2_baseline_1203_Train0.77218_Test0.76203.py | 561 | featdict['behavior_playback_sum_minute'] = featdict['behavior_playback_sum'] / 60 | COMMENT |
| LOW | … APP Users/2_baseline_1203_Train0.77218_Test0.76203.py | 581 | # featdict['behavior_timestamp_DIFF1_MIN'] = np.min(arr1) | COMMENT |
| LOW | … APP Users/2_baseline_1203_Train0.77218_Test0.76203.py | 601 | # featdict['behavior_timestamp_last_minute'] = df['behavior_timestamp'].iloc[-1].minute | COMMENT |
| LOW | … APP Users/2_baseline_1203_Train0.75989_Test0.75627.py | 401 | # params, | COMMENT |
| LOW | … APP Users/2_baseline_1203_Train0.76103_Test0.75740.py | 481 | 'num_threads': 20, | COMMENT |
| LOW | …ion Rate of Baidu Hao Kan APP Users/2_baseline_1128.py | 201 | 'num_threads': 20, | COMMENT |
| LOW | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py | 1 | #!/usr/bin/env python | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | competition/Tianchi-第三届阿里云安全算法挑战赛/LGB_LinuX_0819.py | 450 | CODE | |
| LOW | …/TinyMind人民币面值&冠字号编码识别挑战赛/task2/1_train_faster_rcnn.py | 305 | CODE | |
| LOW | …d人民币面值&冠字号编码识别挑战赛/task2/multi-digit-pytorch/1_train.py | 198 | CODE | |
| LOW | …nyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2_tta.py | 116 | CODE | |
| LOW | …n/TinyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/train.py | 45 | CODE | |
| LOW | …Mind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/models/crnn.py | 10 | CODE | |
| LOW | … APP Users/2_baseline_1203_Train0.77218_Test0.76203.py | 64 | CODE | |
| LOW | …etition/kaggle-quickdraw-doodle-recognition/2_train.py | 112 | CODE | |
| LOW | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py | 198 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | competition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py | 61 | logger = logging.getLogger(__name__) | CODE |