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  3. CCKS2026-任务五:复杂约束条件下的文本属性抽取
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CCKS2026-任务五:复杂约束条件下的文本属性抽取

A advanced llm competition requiring roughly 20–50 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
20–50 hours
Registration deadline
To be confirmed
Compute
Single GPU
OverviewPreparationSource

Overview

Who this competition fits

Learners comfortable reading Chinese problem statements who want industry or algorithm challenges on Tianchi.

Read the original official blurb
近年来,NLP与LLM技术显著提升了信息抽取能力,但面对长文本、复杂语境及“对象-属性-词性”等多重约束时,模型常出现漏抽、误抽,难以满足真实需求。现有评测多聚焦单一或弱约束场景,缺乏系统评估。 为此,本届CCKS2026设立了统一评测任务——复杂约束条件下的文本属性抽取。任务将抽取对象、属性类型与词性要求有机结合,综合考察参赛系统在复杂约束下的语义理解、指令解析与信息抽取能力。 Official category: AI Large Model Competition (AI大模型赛). Official tags: 大语言模型, 自然语言处理, 微调大模型. Teams entered: 247.

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    Transformer or LLM workflow basics

  3. 03

    prompting or evaluation workflow

  4. 04

    competition submission workflow

Before you commit: Task framing, data access, and evaluation details live mainly on the official page and may require careful reading.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Tianchi
Last checked
Apr 27, 2026

Entry assessment

est.
22

Prepare before joining

Overall fit estimate

Beginner fit22/100
Learning value76/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Competition ends
Jul 16, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Apr 27, 2026
Published on this site
Jul 18, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize amount.

This record is a track under a Tianchi series competition; prize amounts may be series-level totals.