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  3. 飞桨学习赛:中文新闻文本标题分类

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Baidu AI StudioLLMBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:中文新闻文本标题分类

适合已能用 PaddlePaddle 2.0+ 训练端到端深度学习模型、想练习中文短文本多分类的个人开发者。任务直接使用新闻标题和标签训练,了解中文文本预处理与分类模型即可进入。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

78/100

Higher means a safer real starting point for your current stage.

Learning value

72/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

4-12 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ba…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合已能用 PaddlePaddle 2.0+ 训练端到端深度学习模型、想练习中文短文本多分类的个人开发者。任务直接使用新闻标题和标签训练,了解中文文本预处理与分类模型即可进入。

Official blurb (unedited)
基于THUCNews数据集的文本分类任务。 THUCNews是根据新浪新闻RSS订阅频道2005~2011年间的历史数据筛选过滤生成,包含74万篇新闻文档,参赛者需要根据新闻标题的内容用算法来判断该新闻属于哪一类别。 Official tags: 文本分类. Sign-ups: 907.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

BaselinePaddleNLP complete baseline project
BaselineComplete baseline project by 炼丹师233
Data

THUCNews data: 740,000 UTF-8 news documents across 14 categories

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

PaddlePaddle 2.0+

中文文本分类

新闻标题预处理

多分类模型训练

ZIP结果文件生成

AI Studio Notebook

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

关键不仅是训练出能区分14类新闻标题的模型,还要严格按测试集原顺序输出预测:result.txt 每行一个类别,且总行数必须为83599;行数或顺序不符即成绩无效。提交的预测结果和原始代码还必须基于飞桨框架生成。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

Your decision

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Status
Registration unverified
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Eligibility
Needs official confirmation
Reward
奖励积分
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.