Bilingual benchmark of 1107 Chinese-English children's stories with silver developmental references and structured annotations¶
Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 3 claims rest on one study
Description¶
A bilingual benchmark dataset constructed by Sijing Yin et al. containing aligned Chinese-English children's stories with age-group developmental references and structured cognitive, language, and social-emotional annotations for evaluating developmental narrative understanding.
Components¶
Claims¶
- Structured developmental annotation (CLARA) achieves stronger alignment with developmental references than readability-based and direct prompting baselines [+M]
- Developmental representations remain relatively stable across translated bilingual narratives [+M]
- In disagreement cases, blinded educators more frequently prefer CLARA developmental estimates over publisher recommendations [+W]
Related Products and Programmes¶
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Key Sources¶
- Sijing Yin, Zirui Wang, Qian Liu, Jiamou Liu. (2026). CLARA: Can AI Assess Developmental Appropriateness in Children's Stories?. https://arxiv.org/abs/2610.05783
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
bilingual-benchmark-of-1107-chinese-english-childrens-stories-with-silver-developmental-re |
title |
Bilingual benchmark of 1107 Chinese-English children's stories with silver developmental references and structured annotations |
description |
A bilingual benchmark dataset constructed by Sijing Yin et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
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