# TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation

arXiv: https://arxiv.org/abs/1805.04617 · HTML: https://mlsanity.com/paper/1805.04617/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2018.

## Built on by (most cited first, 9 of 9)

- [SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement](https://mlsanity.com/paper/2409.19242/) (2024)
- [Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides](https://mlsanity.com/paper/2208.08080/) (2022)
- [Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation](https://mlsanity.com/paper/2110.06354/) (2021)
- [Towards a General Pre-training Framework for Adaptive Learning in MOOCs](https://mlsanity.com/paper/2208.04708/) (2022)
- [Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education](https://mlsanity.com/paper/2402.14293/) (2024)
- [CLICKER: A Computational LInguistics Classification Scheme for Educational Resources](https://mlsanity.com/paper/2112.08578/) (2021)
- [A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation](https://mlsanity.com/paper/2201.02312/) (2022)
- [Slides2MindMap: Reconstructing Cognitively Efficient Knowledge Hierarchies from Lecture Slides](https://mlsanity.com/paper/2608.00610/) (2026)
- [KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning](https://mlsanity.com/paper/2608.06530/) (2026)

## Abstract (arXiv)

The field of Natural Language Processing (NLP) is growing rapidly, with new research published daily along with an abundance of tutorials, codebases and other online resources. In order to learn this dynamic field or stay up-to-date on the latest research, students as well as educators and researchers must constantly sift through multiple sources to find valuable, relevant information. To address this situation, we introduce TutorialBank, a new, publicly available dataset which aims to facilitate NLP education and research. We have manually collected and categorized over 6,300 resources on NLP as well as the related fields of Artificial Intelligence (AI), Machine Learning (ML) and Information Retrieval (IR). Our dataset is notably the largest manually-picked corpus of resources intended for NLP education which does not include only academic papers. Additionally, we have created both a search engine and a command-line tool for the resources and have annotated the corpus to include lists of research topics, relevant resources for each topic, prerequisite relations among topics, relevant sub-parts of individual resources, among other annotations. We are releasing the dataset and present several avenues for further research.