Core-Ed dimensions capture part of the FineWeb-Edu scalar signal while remaining not individually redundant with it (six-dimension cross-validated R2 of 0.228)¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Marginal Pearson correlations between Core-Ed document-level scores and the FineWeb-Edu score range from 0.042 to 0.326, and a linear model combining all six dimensions achieves a cross-validated R2 of 0.228 versus 0.106 for the strongest single dimension. → Garrod 2026

Evidence¶

Garrod 2026¶

Garrod, O. G. B., Ince, R. A. A., Liu, M., Huti, M., Boos, M., Waldock, A., Andrews, D., Alonso-Kropil, R., & Atherton, P. (2026). Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements. arXiv. https://arxiv.org/abs/2609.09425 doi:10.48550/arxiv.2609.09425

q2 · i? · design · r2

Comparison of document-level Core-Ed scores with the FineWeb-Edu score across FineWeb-Edu-Fortified. The article reports correlations "ranging from 0.042 for lesson engagement to 0.326 forSecondary-level Suitability" and a combined-model cross-validated R2 of 0.228 versus 0.106 for the strongest single-dimension model.

"Marginal Pearson correlations are modest, ranging from 0.042 for lesson engagement to 0.326 forSecondary-level Suitability; no individual dimension therefore closely reproduces the FineWeb-Edu score. A linear model combining all six dimensions achieves a cross-validated R2 of 0.228"

Discussion¶

Related Claims¶

• Core-Ed Edu-QuRater scores vary sensibly with education-level metadata on out-of-sample materials (marginal Pearson correlations 0.62 and 0.64; six-dimension cross-validated R2 of 0.449) — related
• Cross-validation-selected hyperparameters generalized to the test set only for Situation and Clarity, with the other four dimensions showing CV–test misalignment — related