Upload MIDAS

README.md

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+# Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
+
+#### Official Repository for "Memorization or Reasoning? Exploring the Idiom Understanding of LLMs" [[Paper Link (arXiv)]](https://arxiv.org/abs/2505.16216) 
+
+##### Jisu Kim, Youngwoo Shin, Uiji Hwang, Jihun Choi, Richeng Xuan, and Taeuk Kim. *Accepted to EMNLP 2025 long paper*. 
+
+---
+
+<!-- ![MIDAS_Figure](docs/MIDAS.jpg) -->
+
+## 🌏 Multilingual Idiom Dataset Across Six languages (MIDAS)
+
+MIDAS is a comprehensive dataset spanning six typologically and culturally diverse languages: English (EN), German (DE), Chinese (ZH), Korean (KO), Arabic (AR), and Turkish(TR).
+It contains approximately 10,000 idiom instances per language, each paired with a figurative meaning. Where available, example sentences are also included.
+
+This repository includes four language subsets of MIDAS. 
+German and Turkish had to be excluded due to copyright issues.
+
+### 1. Dataset Format
+The dataset includes four JSON files, each corresponding to a specific language.
+
+For example, `EN_Idioms.json` is the English subset of our dataset.
+
+All four subsets share the same schema of ID, Idiom, Meaning, and Sentence:
+- `ID`: An identifier assigned to each row. Idioms that have multiple figurative meanings are assigned different IDs for each meaning, such as "n-1", "n-2"...
+- `Idiom`: A list of idiom expression variants.
+- `Meaning`: The figurative meaning of the idiom.
+- `Sentence`: A list of example usage sentences including the idiom.
+
+The following are some actual examples from our English subset:
+```json
+    {
+    "ID": "9-1",
+    "Idiom": [
+      "800-pound gorilla"
+    ],
+    "Meaning": "An entity that dominates.",
+    "Sentence": [
+      "When it comes to the lucrative search market, Google, not Microsoft, is the 800-pound gorilla.",
+      "The thing he unfortunately doesn't recognise is there is an 800-pound gorilla when it comes to major American motor sports. The 800-pound gorilla is Nascar.",
+      "It was poetically fitting. For almost a year, Mr. Trump has been the 800-pound gorilla whose unpredictable rampages have obsessed the news media. Now he was completing the circle by commenting on the 400-pound gorilla who briefly stole the spotlight from him for one holiday weekend.",
+      "Apache Spark is a cluster-computing framework. It’s the 800-pound gorilla you turn to when it’s impossible to fit your data in memory."
+    ]
+  },
+  {
+    "ID": "9-2",
+    "Idiom": [
+      "800-pound gorilla"
+    ],
+    "Meaning": "Something obvious but unaddressed that is dangerous or intimidating.",
+    "Sentence": [
+      "However, a co-author of the new study said those arguments ignore the “ 800-pound gorilla ”: sky-high prices everywhere."
+    ]
+  },
+  {
+    "ID": "2542",
+    "Idiom": [
+      "every dog must have his day",
+      "every dog must have its day",
+      "every dog has his day",
+      "every dog has its day"
+    ],
+    "Meaning": "Everyone experiences success at some point in life.",
+    "Sentence": [
+      "\"To lose, it hurt. But I learned from that. I learned that every dog has its day. I learned patience.\"",
+      "The Hearts manager John McGlynn was thrilled to be drawn against Liverpool in the Europa League play-offs. McGlynn said: \".... I would imagine the bookmakers would favour Liverpool but every dog has its day.\""
+    ]
+  }
+```
+
+### 2. Hugging Face Datasets
+MIDAS is also available through the Hugging Face 'datasets' library!
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("HYU-NLP/MIDAS", data_dir="data/")
+print(dataset[0])
+```
+
+### 3. Further Details
+More details regarding our dataset is specified in Section 3 and Appendix A of our paper!
+
+---
+
+## 📚 Citation
+
+```bibtex
+@misc{kim2025memorizationreasoningexploringidiom,
+      title={Memorization or Reasoning? Exploring the Idiom Understanding of LLMs}, 
+      author={Jisu Kim and Youngwoo Shin and Uiji Hwang and Jihun Choi and Richeng Xuan and Taeuk Kim},
+      year={2025},
+      eprint={2505.16216},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2505.16216}, 
+}
+```