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  3. 基于文心NLP大模型的阅读理解可解释评测

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Baidu AI StudioLLMBeginnerRegistration unverifiedRegistration unverified

基于文心NLP大模型的阅读理解可解释评测

适合已有中文机器阅读理解经验、能使用 PaddlePaddle 2.0 及以上版本训练端到端模型的个人参赛者。尤其适合希望学习模型可解释性,并能处理答案抽取与 token 级证据输出的人。

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Suggested next step

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

Beginner score

55/100

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

Learning value

58/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

10-30 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

适合已有中文机器阅读理解经验、能使用 PaddlePaddle 2.0 及以上版本训练端到端模型的个人参赛者。尤其适合希望学习模型可解释性,并能处理答案抽取与 token 级证据输出的人。

Official blurb (unedited)
本次比赛聚焦于阅读理解任务的可解释评测,要求模型根据问题从文本中找出预测的答案以及预测依赖的证据。 Official tags: 阅读理解,可解释性. Sign-ups: 867.

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.

BaselineForkable PaddlePaddle baseline notebook for rapid leaderboard entry.
TutorialInstructor-led video course for the competition.
Data

Evaluation dataset with 4,366 examples, rationales, and perturbations.

Reference paperPaper describing the interpretability evaluation dataset.

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+

机器阅读理解

中文文本分词与 token 对齐

证据抽取(rationale)

TrustAI 解释方法

TSV/ZIP 提交文件生成

Where the real difficulty shows up

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

难点不只是答对阅读理解答案,还要从给定的 sent_token 中按重要度顺序输出支持答案的 token id 序列;证据既要贴近人工标注,也要在扰动样本下保持一致。提交还必须同时满足指定的三列文本格式和 ZIP 文件命名要求。

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

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
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

Registration is unverified; confirm availability on the official page before investing.

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Official source

Rules, files, submission details, and the live deadline still come from the official page.

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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.