mlsanityData to 7 Oct 2026

The Teacher-Student Chatroom Corpus

arXiv 2011.07109 ↗First posted 13 Nov 2020cs.CLcited by 17

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Abstract (arXiv)

The Teacher-Student Chatroom Corpus (TSCC) is a collection of written conversations captured during one-to-one lessons between teachers and learners of English. The lessons took place in an online chatroom and therefore involve more interactive, immediate and informal language than might be found in asynchronous exchanges such as email correspondence. The fact that the lessons were one-to-one means that the teacher was able to focus exclusively on the linguistic abilities and errors of the student, and to offer personalised exercises, scaffolding and correction. The TSCC contains more than one hundred lessons between two teachers and eight students, amounting to 13.5K conversational turns and 133K words: it is freely available for research use. We describe the corpus design, data collection procedure and annotations added to the text. We perform some preliminary descriptive analyses of the data and consider possible uses of the TSCC.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Nov 2020.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 8; 2024: 2; 2025: 4; 2026: 1.

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  1. 2023MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problemscited by 128
  2. 2022The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialoguescited by 78
  3. 2023Grounding Gaps in Language Model Generationscited by 45
  4. 2023Opportunities and Challenges in Neural Dialog Tutoringcited by 33
  5. 2023The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialoguescited by 27
  6. 2023Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillationcited by 11
  7. 2025TeachLM: Post-Training LLMs for Education Using Authentic Learning Datacited by 8
  8. 2025The StudyChat Dataset: Analyzing Student Dialogues With ChatGPT in an Artificial Intelligence Coursecited by 7
  9. 2023Assessing the efficacy of large language models in generating accurate teacher responsescited by 6
  10. 2025Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systemscited by 4
  11. 2023How About Kind of Generating Hedges using End-to-End Neural Models?cited by 3
  12. 2021ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correctioncited by 2
5 more
  1. 2023The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialoguescited by 2
  2. 2024Modeling the Quality of Dialogical Explanationscited by 2
  3. 2024Project MOSLA: Recording Every Moment of Second Language Acquisitioncited by 0
  4. 2025EduDial: Constructing a Large-scale Multi-turn Teacher-Student Dialogue Corpuscited by 0
  5. 2026GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turnscited by 0