This organizer keeps part 1 of the method details for MOOC-CS Prerequisite Benchmark small enough for learners to study without a long flat child list.

Method Part 1: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer keeps part 2 of the method details for MOOC-CS Prerequisite Benchmark small enough for learners to study without a long flat child list.

Method Part 2: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer keeps part 3 of the method details for MOOC-CS Prerequisite Benchmark small enough for learners to study without a long flat child list.

Method Part 3: MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer groups method, retrieval, ranking, and graph-structure details used by MOOC-CS Prerequisite Benchmark.

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**MOOC-CS** is a computer-science-focused prerequisite-relation benchmark assembled from Massive Open Online Course (MOOC) materials, originating from Pan et al. (ACL 2017). It comprises Coursera lecture captions in the **Data Structures and Algorithms** and **Machine Learning** domains, with course core concepts extracted from the captions and manually annotated ordered concept pairs labeled as prerequisite or not. Each course release provides three file types: a JSON Captions file (tokenized, POS-tagged video transcripts), a Core_concepts file listing per-domain concepts, and a Labeled file storing concept pairs with their prerequisite labels. The benchmark is used to evaluate prerequisite-link retrieval systems, with a fixed candidate concept pool and ranking metrics such as Recall@$$k$$. The default release is English-only, which is why graph-aware retrieval studies report separately on language-matched query and encoder controls when extending evaluations to multilingual MOOC settings.

MOOC-CS Prerequisite Benchmark

Root URL: https://1iman.com/
Canonical paper URL: https://1iman.com/assets/working-papers/pdf/emnlp-auditable-strict-parity-evaluation-of-prerequisite-graph-retrieval-for-rag-under-leakage-controls.pdf
Portfolio PDF URL: https://1iman.com/assets/working-papers/pdf/emnlp-auditable-strict-parity-evaluation-of-prerequisite-graph-retrieval-for-rag-under-leakage-controls.pdf
Paper title: Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls
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Reference: Auditable Strict-Parity Evaluation of Prerequisite-Graph Retrieval for RAG under Leakage Controls

Method Details for MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer groups metrics, datasets, statistical protocol, and result evidence used by MOOC-CS Prerequisite Benchmark.

Evaluation Evidence for MOOC-CS Prerequisite Benchmark (Auditable Strict-Parity Graph-RAG Paper)

This organizer groups scope, caveats, licensing, ethical, and interpretation notes connected to MOOC-CS Prerequisite Benchmark.

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