MAGIC / README.md
yeon42's picture
Update README.md
b96dbb2 verified
|
Raw
History Blame Contribute Delete
2.44 kB
# MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
<p align="center">
<img src="https://img.shields.io/badge/MAGIC-v1.0-green">
<img src="https://img.shields.io/badge/created-September%202025-blue">
<img src="https://img.shields.io/badge/last%20commit-October-yellowgreen">
<a href="https://aclanthology.org/2025.findings-emnlp.466.pdf">
<img src="https://img.shields.io/badge/Paper-2412.12567-b31b1b.svg">
</a>
</p>
**Official Repository for "MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation". [[πŸ“„ Paper (ACL Anthology)](https://aclanthology.org/2025.findings-emnlp.466.pdf)]**
<br/>
<!-- <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>
---
## 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
```
.\
β”œβ”€β”€ dataset
β”‚ β”œβ”€β”€ multi-hop/
β”‚ β”‚ β”œβ”€β”€ 1-multi-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 2-multi-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 3-multi-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 4-multi-hop_conflict.json/
β”‚ β”œβ”€β”€ single-hop/
β”‚ β”‚ β”œβ”€β”€ 1-single-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 2-single-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 3-single-hop_conflict.json/
β”‚ β”‚ β”œβ”€β”€ 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 β€” 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.