Repository Analysis

datawhalechina/competition-baseline

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

40.0 Strong AI signal View on GitHub

Analysis Overview

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).

40.0
Adjusted Score
40.0
Raw Score
100%
Time Factor
2026-07-11
Last Push
4.8K
Stars
Jupyter Notebook
Language
13.8K
Lines of Code
147
Files
522
Pattern Hits
2026-07-14
Scan Date
0.06
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

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.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

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.

CRITICAL 0HIGH 9MEDIUM 4LOW 509

Directory Score Breakdown

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.

Pattern Findings

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.

Unused Imports471 hits · 456 pts
SeverityFileLineSnippetContext
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py5CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py7CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py8CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py8CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py10CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py14CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py14CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py14CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py24CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py26CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py28CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py29CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py30CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py2CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py3CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py5CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py7CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py8CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py8CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py10CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py14CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py14CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py24CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py26CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py28CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py30CODE
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.py2CODE
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.py2CODE
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.py2CODE
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.py2CODE
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.py5CODE
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.py7CODE
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.py8CODE
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.py8CODE
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.py10CODE
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.py14CODE
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.py14CODE
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.py14CODE
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.py26CODE
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.py28CODE
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.py29CODE
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.py30CODE
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.py2CODE
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.py2CODE
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.py2CODE
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.py3CODE
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.py5CODE
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.py7CODE
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.py8CODE
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.py8CODE
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.py10CODE
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.py14CODE
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.py14CODE
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.py26CODE
411 more matches not shown…
Cross-File Repetition9 hits · 45 pts
SeverityFileLineSnippetContext
HIGHcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
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.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-人脸年龄识别/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-人脸年龄识别/1_train_pretrain.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-肺炎X光病灶识别/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-胸腔X光肺炎检测/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-美食识别挑战(1):豆腐VS土豆/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGHcompetition/yanxishe-喵脸关键点检测/1_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
HIGH…etition/kaggle-quickdraw-doodle-recognition/2_train.py0computes the accuracy over the k top predictions for the specified values of kSTRING
AI Structural Patterns18 hits · 18 pts
SeverityFileLineSnippetContext
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/2_predict.py67CODE
LOWcompetition/DC竞赛-AI助疫·口罩佩戴检测大赛/1_train.py127CODE
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.py68CODE
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.py123CODE
LOWcompetition/yanxishe-人脸年龄识别/1_train.py131CODE
LOWcompetition/yanxishe-人脸年龄识别/1_train_pretrain.py132CODE
LOWcompetition/yanxishe-人脸年龄识别/2_predit.py67CODE
LOWcompetition/yanxishe-肺炎X光病灶识别/2_predict.py67CODE
LOWcompetition/yanxishe-肺炎X光病灶识别/1_train.py136CODE
LOWcompetition/yanxishe-胸腔X光肺炎检测/2_predict.py67CODE
LOWcompetition/yanxishe-胸腔X光肺炎检测/1_train.py127CODE
LOW…nyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2_tta.py40CODE
LOW…n/TinyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2.py36CODE
LOW…Mind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/models/crnn.py179CODE
LOWcompetition/yanxishe-美食识别挑战(1):豆腐VS土豆/2_predict.py67CODE
LOWcompetition/yanxishe-美食识别挑战(1):豆腐VS土豆/1_train.py127CODE
LOWcompetition/yanxishe-喵脸关键点检测/2_predict.py67CODE
LOWcompetition/yanxishe-喵脸关键点检测/1_train.py130CODE
Decorative Section Separators4 hits · 12 pts
SeverityFileLineSnippetContext
MEDIUMcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py47# ======================================================COMMENT
MEDIUMcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py49# ======================================================COMMENT
MEDIUMcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py74# ======================================================COMMENT
MEDIUMcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/gen_train_test.py76# ======================================================COMMENT
Over-Commented Block10 hits · 10 pts
SeverityFileLineSnippetContext
LOWcompetition/Kesci-中国华录杯人群密度检测/test.py41COMMENT
LOWcompetition/Kesci-中国华录杯人群密度检测/test.py81 w_d = w/2COMMENT
LOW… APP Users/2_baseline_1203_Train0.77218_Test0.76203.py521 COMMENT
LOW… APP Users/2_baseline_1203_Train0.77218_Test0.76203.py561 featdict['behavior_playback_sum_minute'] = featdict['behavior_playback_sum'] / 60COMMENT
LOW… APP Users/2_baseline_1203_Train0.77218_Test0.76203.py581# featdict['behavior_timestamp_DIFF1_MIN'] = np.min(arr1)COMMENT
LOW… APP Users/2_baseline_1203_Train0.77218_Test0.76203.py601 # featdict['behavior_timestamp_last_minute'] = df['behavior_timestamp'].iloc[-1].minuteCOMMENT
LOW… APP Users/2_baseline_1203_Train0.75989_Test0.75627.py401# params,COMMENT
LOW… APP Users/2_baseline_1203_Train0.76103_Test0.75740.py481 'num_threads': 20,COMMENT
LOW…ion Rate of Baidu Hao Kan APP Users/2_baseline_1128.py201 'num_threads': 20,COMMENT
LOWcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py1#!/usr/bin/env pythonCOMMENT
Deep Nesting9 hits · 8 pts
SeverityFileLineSnippetContext
LOWcompetition/Tianchi-第三届阿里云安全算法挑战赛/LGB_LinuX_0819.py450CODE
LOW…/TinyMind人民币面值&冠字号编码识别挑战赛/task2/1_train_faster_rcnn.py305CODE
LOW…d人民币面值&冠字号编码识别挑战赛/task2/multi-digit-pytorch/1_train.py198CODE
LOW…nyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/test2_tta.py116CODE
LOW…n/TinyMind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/train.py45CODE
LOW…Mind人民币面值&冠字号编码识别挑战赛/task2/crnn-pytorch/models/crnn.py10CODE
LOW… APP Users/2_baseline_1203_Train0.77218_Test0.76203.py64CODE
LOW…etition/kaggle-quickdraw-doodle-recognition/2_train.py112CODE
LOWcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py198CODE
Modern Structural Boilerplate1 hit · 1 pts
SeverityFileLineSnippetContext
LOWcompetition/科大讯飞AI开发者大赛2021/中文成语填空挑战赛/baseline.py61logger = logging.getLogger(__name__)CODE