Initial upload with tar files and metadata

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,54 @@
 ---
-license: mit
----
+# MusiXQA 🎵
+---
+**MusiXQA** is a multimodal dataset for evaluating and training music sheet understanding systems. Each data sample is composed of:
+- A scanned music sheet image (`.png`)
+- Its corresponding MIDI file (`.mid`)
+- A structured annotation (from `metadata.json`)
+- Question–Answer (QA) pairs targeting musical structure, semantics, and optical music recognition (OMR)
+![demo1](https://puar-playground.github.io/assets/img/2025-06-27/demo.jpg)
+
+---
+
+## 📂 Dataset Structure
+```
+MusiXQA/
+├── images/                # PNG files of music sheets (e.g., 0000000.png)
+├── midi.tar               # MIDI files (e.g., 0000000.mid), compressed
+├── train_qa_omr.json      # OMR-tasks QA pairs (train split)
+├── train_qa_simple.json   # Simple musical info QAs (train split)
+├── test_qa_omr.json       # OMR-tasks QA pairs (test split)
+├── test_qa_simple.json    # Simple musical info QAs (test split)
+├── metadata.json          # Annotation for each document (e.g., key, time, instruments)
+```
+## 🧾 Metadata
+The `metadata.json` file provides comprehensive annotations of the full music sheet content, facilitating research in symbolic music reasoning, score reconstruction, and multimodal alignment with audio or MIDI.
+![demo2](https://puar-playground.github.io/assets/img/2025-06-27/header.jpg)
+
+
+## ❓ QA Data Format
+
+Each QA file (e.g., train_qa_omr.json) is a list of QA entries like this:
+```
+{
+  "doc_id": "0000001",
+  "question": "What is the title of the music sheet?",
+  "answer": "Minuet in G Major",
+  "encode_format": "beat"
+}
+```
+•	doc_id: corresponds to a sample in images/, midi/, and metadata.json
+•	question: natural language query
+•	answer: ground truth answer
+•	encode_format: how the input is encoded (e.g., "beat", "note", etc.)
+
+## 🎓 Reference
+If you use this dataset in your work, please cite it using the following reference:
+```
+@article{chen2025musixqa,
+  title={MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models},
+  author={Chen, Jian and Ma, Wenye and Liu, Penghang and Wang, Wei and Song, Tengwei and Li, Ming and Wang, Chenguang and Zhang, Ruiyi and Chen, Changyou},
+  journal={arXiv preprint arXiv:2506.23009},
+  year={2025}
+}
+```

images.tar

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metadata.json

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midi.tar

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