Expanded RIKEN SAS dataset with 10,000 new annotations¶
Product or Programme · All products and programmes
Evidence · no claims cited
Description¶
A publicly available dataset from Funayama et al. containing Japanese high-school reading-comprehension short answers with prompts, rubrics, analytic criteria, and human-annotated scores for research on automated assessment.
Components¶
Claims¶
Related Products and Programmes¶
- Anti-RAMSing toolkit: annotated R scripts and worked example dataset on OSF
- Multilingual ASAP content scoring datasets in five languages
- MEDS dataset of 28,000 LLM runs across four mathematics-education tasks
- Expert-annotated Hungarian reflective essay dataset
Key Sources¶
- Funayama, H., Matsubayashi, Y., Asazuma, Y., Mizumoto, T., & Inui, K. (2025). Cross-prompt Pre-finetuning of Language Models for Short Answer Scoring. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-025-00474-w
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
expanded-riken-sas-dataset-with-10000-new-annotations |
title |
Expanded RIKEN SAS dataset with 10,000 new annotations |
description |
A publicly available dataset from Funayama et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.