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Taxonomy-Aligned-Conversational-Tutor/TACTBench-Samples

TACTBench Demonstration Samples This repository contains five full-context demonstration examples from TACTBench. It does not contain the TACT training set or the remaining hidden TACTBench evaluation set. The samples use the same full-history representation as the benchmark evaluation and illustrate direct correction, error explanation, guided revision, clarification checking, affective feedback, and retry elicitation. Data data/demo.jsonl: five complete… See the full description on the dataset page: https://huggingface.co/datasets/Taxonomy-Aligned-Conversational-Tutor/TACTBench-Samples.

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TACTBench Demonstration Samples

This repository contains five full-context demonstration examples from TACTBench. It does not contain the TACT training set or the remaining hidden TACTBench evaluation set. The samples use the same full-history representation as the benchmark evaluation and illustrate direct correction, error explanation, guided revision, clarification checking, affective feedback, and retry elicitation.

Data

  • data/demo.jsonl: five complete benchmark contexts selected from five distinct tutoring conversations.
  • Each row contains the full visible dialogue history before the target teacher turn, the reference teacher response, and its tutor-strategy label or labels.

These rows are demonstration examples and must not be included in future hidden benchmark scoring. Historical paper results were computed on the original 78-item benchmark before these examples were released.

Schema

  • sample_id: stable identifier for this demonstration release.
  • source_item_id: provenance identifier in the internal benchmark.
  • split: always demo.
  • context_scope: always full_history.
  • history_variant: always full_context, matching the paper evaluation.
  • full_history_turn_count: number of visible dialogue turns before the target.
  • dialogue_history: ordered teacher and student turns.
  • reference_teacher_response: the authentic next teacher turn.
  • teacher_taxonomy_labels: pedagogical function labels for the response.
  • source_full_context_word_count: descriptive word count across the complete visible dialogue history and reference response.

Source and Terms

The dialogue excerpts are derived from the Teacher-Student Chatroom Corpus version 2 (TSCC v2). TSCC is distributed by the University of Cambridge under its own user agreement for non-commercial research and educational use. This sample repository does not grant rights to the complete TSCC corpus. Researchers who need the source corpus should apply through the official TSCC access form: https://forms.gle/pKc48WMhnySC8zDk9.

Citation

Please cite both the TACT paper and the TSCC v2 paper when using these samples.

bibtex
@article{yang2026tact,
  title = {TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring},
  author = {Yang, Dongjie and Lin, Siyan and Shen, Leixian and Sheng, Rui and Qu, Huamin and Chen, Zixin},
  year = {2026}
}

@inproceedings{caines2022tsccv2,
  title = {The Teacher-Student Chatroom Corpus version 2: More Lessons, New Annotation, Automatic Detection of Sequence Shifts},
  author = {Caines, Andrew and Yannakoudakis, Helen and Allen, Helen and Perez-Paredes, Pascual and Byrne, Bill and Buttery, Paula},
  year = {2022},
  booktitle = {Proceedings of the 11th Workshop on NLP for Computer Assisted Language Learning}
}