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Polygence authentic learning dataset

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A large anonymized multimodal dataset of more than 100,000 hours of longitudinal one-on-one project-based tutoring interactions between PhD-level mentors and K–12 or pre-college students, collected and maintained by Polygence.

Components

  • Polygence authentic learning dataset of over 100,000 hours of one-on-one tutoring interactions: A large longitudinal dataset of one-on-one, project-based tutoring sessions between PhD-level tutors and students across more than 150 subjects, collected through the Polygence platform. The article states it "comprises more than 100,000 hours of one-on-one, longitudinal student–tutor interactions in multiple modalities," including meeting transcripts, shared documents, and chat. It was anonymized on internal servers and used for post-training and benchmarking LLMs for education. (Janos Perczel et al. (2025))

Claims

Key Sources

  • Janos Perczel, Jin Chow, and Dorottya Demszky. (2025). TeachLM: Post-Training LLMs for Education Using Authentic Learning Data. https://arxiv.org/abs/2510.05087
Page metadata
Field Value
type product
id polygence-authentic-learning-dataset
title Polygence authentic learning dataset
description A large anonymized multimodal dataset of more than 100,000 hours of longitudinal one-on-one project-based tutoring interactions between PhD-level mentors and K–12 or pre-college students, collected and maintained by Polygence.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

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