# MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation

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  <img src="https://img.shields.io/badge/MAGIC-v1.0-green">
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  <a href="https://aclanthology.org/2025.findings-emnlp.466.pdf">
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**Official Repository for "MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation". [[📄 Paper (ACL Anthology)](https://aclanthology.org/2025.findings-emnlp.466.pdf)]**
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<!-- <small>**Jungyeon Lee**, **Kangmin Lee**, and **Taeuk Kim**. *Accepted to EMNLP 2025 Findings.*</small> -->
<small>Jungyeon Lee, Kangmin Lee and Taeuk Kim. ***Accepted to EMNLP 2025 Findings.***</small>

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## OverView
**MAGIC** is a large-scale benchmark designed to evaluate **knowledge conflict detection and localization** in **Retrieval-Augmented Generation (RAG)** systems. It focuses on *multi-hop reasoning* and *graph-structured contexts*, where **inter-context knowledge conflicts** emerge between retrieved passages.


## Repository Structure
```
.\
├── dataset
│   ├── multi-hop/
│   │   ├── 1-multi-hop_conflict.json/
│   │   ├── 2-multi-hop_conflict.json/
│   │   ├── 3-multi-hop_conflict.json/
│   │   ├── 4-multi-hop_conflict.json/
│   ├── single-hop/
│   │   ├── 1-single-hop_conflict.json/
│   │   ├── 2-single-hop_conflict.json/
│   │   ├── 3-single-hop_conflict.json/
│   │   ├── 4-single-hop_conflict.json/
```

### Dataset Structure
- `ID`: Unique identifier for each sample.
- `rel_id`: Relation ID corresponding to the target knowledge relation (e.g. `P150` from Wikidata)
- `subgraph`: A set of surrounding triplets retrieved via DFS traversal from the source knowledge graph around the `original_triplet`.
- `original_triplet`: Randomly sampled **target triplet** from the source graph — serves as the anchor for conflict formation.
- `perturb_triplet`: Modified triplet(s) intentionally constructed to introduce a **knowledge conflict** with the `original_triplet`.
- `context1`, `context2`: Textual representations of the `original_triplet` and `perturb_triplet`, respectively.