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README.md

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+---
+language:
+- fr
+- es
+- zh
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: "test/data-00000-of-00001.arrow"
+---
+
+# MultiNRC: Multilingual Native Reasoning Challenge
+
+MultiNRC is a challenging evaluation benchmark for large language models, designed to assess multilingual reasoning ability in French, Spanish, and Chinese. Unlike existing benchmarks that simply translate English-centric content, MultiNRC consists of over 1,000 native-authored reasoning questions, crafted by native speakers to capture linguistic and cultural nuances.
+
+## Features
+
+- **Languages:** French, Spanish, Chinese
+- **Categories:** 
+  - Language-specific Linguistic Reasoning
+  - Wordplay & Riddles
+  - Cultural Reasoning & Traditions
+  - Math Reasoning with Cultural Relevance
+- **English Equivalents:** For Cultural/Tradition and Math, human-translated English versions are provided for direct comparison.
+- **Ground Truth Final Answers:** Short, objective answers accompany each prompt for automatic evaluation.
+
+
+## Dataset Structure
+
+Each entry includes:
+- A native-language prompt and answer (`i18n_prompt`, `i18n_gtfa`)
+- (For Math Reasoning and Cultural Reasoning category tasks) An English-equivalent prompt and answer (`english_prompt`, `english_gtfa`)
+- Metadata: `task_id`, `language`, `category`
+
+## Citation
+
+If you use MultiNRC in your research, please cite:
+
+```bibtex
+@article{fabbri2025multinrc,
+  title = {MultiNRC: A Challenging Native Multilingual Reasoning Evaluation Benchmark for LLMs},
+  author = {Fabbri, Alexander R. and Mares, Diego and Flores, Jorge and Mankikar, Meher and Hernandez, Ernesto and Lee, Dean and Liu, Bing and Xing, Chen},
+  year = {2025},
+  note = {arXiv preprint, arXiv:XXXX.XXXXX}
+}

dataset_dict.json

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test/data-00000-of-00001.arrow

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+size 1766376

test/dataset_info.json

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+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "task_id": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "i18n_prompt": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "i18n_gtfa": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "english_prompt": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "english_gtfa": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "language": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "category": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

test/state.json

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+{
+  "_data_files": [
+    {
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+    }
+  ],
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+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}