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-license: other
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-license_link: LICENSE
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+---
+license: other
+license_name: license
+license_link: LICENSE
+---
+
+# Multilingual Reasoning Kangaroo Math Problems 1.0 (M3Kang)
+## Introduction
+
+Despite state-of-the-art vision-language models (VLMs) have demonstrated strong reasoning capabilities, their performance in multilingual mathematical reasoning remains underexplored, particularly when compared to human performance. To bridge this gap, we introduce M3Kang, the first massively multilingual, multimodal mathematical reasoning dataset for VLMs. It is derived from the Kangaroo Math Competition, the world’s largest mathematics contest, which annually engages over six million participants under the age of 18 across more than 90 countries. M3Kang includes 1,789 unique multiple-choice problems organized by grade-level difficulty, with translations into more than 100 culturally diverse languages, for a total of more than 50K problems.
+
+This dataset is published as part of our paper “M3Kang: Evaluating Multilingual Multimodal Mathematical Reasoning in Vision-Language Models”.
+
+## Description
+The M3Kang dataset is built from problems in the Kangaroo Math Competition, the largest annual international contest for primary and secondary students. Problems are organized by grade level and sometimes accompanied by figures (see “Sample Images” below for an example). We sourced data from the original PDFs of the 2007–2024 editions organized by the Catalan Math Society in Catalonia, Spain, and processed it through a pipeline described below. In addition to processing and formatting the problems into a proper data set structure compatible with Hugging Face, our processing pipeline automatically translates the problems to many other languages, to obtain the final multilingual data set. 
+
+The final dataset includes each problem in two formats: a text version of the question and an image containing the full problem (question, multi-choice answers, and optional figure, and the correct answer) with translations into more than 100 languages.
+
+## Sample Images
+Example of problem found in the M3Kang dataset, with translations to English, Catalan, Spanish, and German:
+
+![picture1](https://cdn-uploads.huggingface.co/production/uploads/68e7940f7b9f8592b18752b2/RPpwdPn_ydfv8saTISEbI.png)
+
+## Dataset Details
+
+| | |
+|---|---|
+| Type of problems | Math, logic, reasoning |
+| Number of English problems	 | 1789 |
+| Multimodal? | Yes, text + image |
+| Multilingual?	| Yes, more than 100 languages (final number will be provided) |
+| Number of levels | 8 levels: from school grade 5 through grade 12 |
+| Total # of problems | More than 50K (final number will be provided) |
+
+(*) Note that because our translation pipeline includes a quality assurance stage that discards low quality translations, the number of problems in non-English languages is in general smaller than 1789.
+
+For an example, please see the section “Data Format” below.
+
+## Dataset Collection Process
+
+We sourced data from the original PDFs of the 2007–2024 editions organized by the Catalan Math Society (SCM) in Catalonia, Spain. We were able to access this dataset after the SCM approved via a formal letter our access of the data set and use for research purposes.
+
+The original data was available in the form of PDF files, each file containing a test of math multi-choice Kangaroo problems (e.g., a test with 24 problems, for a given year and a given school level). The input data also included the correct answer to each problem.
+
+We developed a pipeline to process the set of input PDFs and automatically (with some human-in-the-loop support) generate the data set in a format compatible with Hugging Face. The pipeline used to generate the dataset includes only software that has meticulously approved by the legal team. This pipeline is also described in our paper “M3Kang: Evaluating Multilingual Multimodal Mathematical Reasoning in Vision-Language Models”.
+
+## Data Format
+A sample from our dataset consists in a string of “text”, containing the problem statement, an “image”, containing a snapshot of the problem (which includes the problem statement, the answer key and any accompanying figures), an “answer” field, containing the correct answer, a “language” field, containing the language of the problem, and a “level”, containing the level (school grade) of the problem. For example:
+
+```json
+{
+  “text”: “In the figure on the right, you can
+    see a triangle ABC in which two segments have
+    been drawn from vertices A and B to points on
+    the opposite sides, thereby dividing the triangle
+    into nine non-overlapping regions. If we draw a
+    total of eight segments to the opposite sides,
+    four from A and four from B, into how many
+    non-overlapping regions will the triangle be
+    divided?”,
+  “image”: 
+```
+![picture2](https://cdn-uploads.huggingface.co/production/uploads/68e7940f7b9f8592b18752b2/RDAoGgOcntNXg70E50_-5.jpeg)
+
+```json
+  “answer”: “B”,
+  “language”: “eng”,
+  “level”: 6
+}
+```
+
+## Dataset license
+This dataset is intended for research purposes only.
+Data License Agreement - Research Use
+
+## Dataset Citation Instructions
+Please cite our paper if you use this dataset in your research.
+
+
+### Qualcomm AI Research
+At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.
+ 
+Qualcomm AI Research continues to invest in and support deep-learning research in computer vision. The publication of this dataset for use by the AI research community is one of our many initiatives.
+Find out more about [Qualcomm AI Research](https://developer.qualcomm.com/forums/software/ai-research-datasets).
+For any questions or technical support, please contact us at [research.datasets@qti.qualcomm.com](mailto:research.datasets@qti.qualcomm.com)
+ 
+*Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.*
+