Update README.md

README.md

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 - en
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 - 100K<n<1M
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+---
+
+# MusicScore: A Dataset for Music Score Modeling and Generation
+
+Official dataset repository for [paper](https://arxiv.org/abs/2406.11462):
+
+**MusicScore: A Dataset for Music Score Modeling and Generation**.
+> Author list: [Yuheng Lin](https://rozenthegoat.github.io), [Zheqi Dai](https://github.com/dzq84) and [Qiuqiang Kong](https://github.com/qiuqiangkong)
+
+MusicScore is a large-scale music score dataset collected and processed from the International Music Score Library Project ([IMSLP](https://imslp.org/)).
+MusicScore consists of image-text pairs, where the image is a page of a music score and the text is the metadata of the music.
+The metadata of MusicScore is extracted from the general information section of the IMSLP pages.
+The metadata includes rich information about the composer, instrument, piece style, and genre of the music pieces.
+MusicScore is curated into small, medium, and large scales of [400](./MusicScore-400/), [14k](./MusicScore-400/), and [200k](./MusicScore-400/) image-text pairs with varying diversity, respectively.
+
+
+For codebase containing data processing scripts we used to craft MusicScore dataset and evaluation scripts for *music score generation* experiment along with FID measurement, please refer to [MusicScore-script](https://github.com/dzq84/MusicScore-script).
+
+## Dataset Description
+
+MusicScore dataset is curated into three scales of subsets:
+
+|Subset         |Amount of images|
+|:--------------|:---------------|
+|MusicScore-400 |403             |
+|MusicScore-14k |14656           |
+|MusicScore-200k|204800          |
+
+For MusicScore-400, it contains 19 most popular piano and violin compositions.
+
+For MusicScore-14k and -200k, we filtered images by color depth and cover contents. For later one, we train a classification model simply based on ResNet18, for details, please refer to the corresponding codebase [MusicScore-script](https://github.com/dzq84/MusicScore-script).
+
+
+## Example
+
+An example sample (IMSLP913207_11.jpg from MusicScore-400), the image and its matching metadata stored in a JSON file. 
+
+
+```json
+{
+    "Work Title": "Violin Concerto",
+    "Alternative. Title": "Violin Concerto [No.2]",
+    "Name Translations": "Koncert skrzypcowy; Husľový koncert; Концерт для скрипки с оркестром; 바이올린 협주곡; concerto pour violon en mi mineur; Violin Concerto in E minor; Concierto para violín; Concertul pentru vioară; ไวโอลินคอนแชร์โต; Concert per a violí; Viulukonsertto; Концерт для скрипки з оркестром; Concerto per violino e orchestra op. 64; Violinkonzert e-Moll; ヴァイオリン協奏曲; Violinski koncert; Vioolconcert; کنسرتو ویلن در می مینور (مندلسون); 小提琴协奏曲; Violin Concerto (Mendelssohn); 小提琴協奏曲孟德爾頌; Violinkonsert; Houslový koncert e moll; Concerto para violino; Violinkoncert i e-mol; קונצ'רטו לכינור במי מינור; Kunċert għal vjolin u orkestra fil-Mi minuri, op. 64; Koncertas smuikui (Mendelsonas); Konserto Biola dalam E Minor; Violonkonĉerto en E-minoro",
+    "Name Aliases": "멘델스존 바이올린 협주곡; 멘델스존 바이올린협주곡; Concierto para violin; Concierto para violín nº 2; Concierto para violín n.º 2; Concierto para violin n 2; Concierto para violin nº 2; Concierto para violin n.º 2; Concierto para violin nº2 de Mendelssohn; Concierto para violín n 2; Concierto para violin n 2 de Mendelssohn; Concierto para violín n 2 de Mendelssohn; Concierto para violin n. 2; Concierto para violín n. 2; Concierto para violín nº2 de Mendelssohn; ไวโอลินคอนแชร์โต ในบันไดเสียง อี ไมเนอร์; Concert per a violí de Mendelssohn; Mendelssohnin viulukonsertto; Violinkonzert; Violinkonzert e-Moll op. 64; メンコン; メン・コン; Violinski koncert- Mendelssohn; Vioolconcert in e-klein; Vioolconcert (Mendelssohn-Bartholdy); concerto n° 2 pour violon et orchestre en mi mineur; concerto pour violon n° 2 de Mendelssohn; concerto n° 2 pour violon et orchestre; concerto n° 2 pour violon; concerto pour violon n° 2; concerto pour violon et orchestre n° 2 de Mendelssohn; Violin Concerto in E Minor, Op. 64; קונצ'רטו לכינור במי מינור, אופוס 64; Konserto Biola dalam E Minor, Op. 64",
+    "Authorities": "WorldCat; Wikipedia; LCCN: n91030067; GND: 300101902",
+    "Composer": "Mendelssohn, Felix",
+    "Opus/Catalogue NumberOp./Cat. No.": "Op.64 ; MWV O 14",
+    "I-Catalogue NumberI-Cat. No.": "IFM 196",
+    "Key": "E minor",
+    "Movements/SectionsMov'ts/Sec's": "3 movements:\nAllegro molto appassionato (528 bars)\nAndante - Allegretto non troppo (123 bars)\nAllegro molto vivace (234 bars)",
+    "Year/Date of CompositionY/D of Comp.": "1838-1844 (Sept. 16), rev.1845",
+    "First Performance.": "1845-03-13 in Leipzig, Saal des Gewandhauses\nFerdinand David (violin), Gewandhaus orchestra, Niels Gade (conductor)",
+    "First Publication.": "1845 – Leipzig: Breitkopf und Härtel // London: J. J. Ewer & Co. // Milan: J. Ricordi\n(Hofmeister's Monatsbericht (1845), p.98)",
+    "Dedication": "Ferdinand David",
+    "Average DurationAvg. Duration": "30 minutes",
+    "Composer Time PeriodComp. Period": "Romantic",
+    "Piece Style": "Romantic",
+    "Instrumentation": "violin, orchestra",
+    "InstrDetail": "18 parts \n2 flutes, 2 oboes, 2 clarinets, 2 bassoons2 horns, 2 trumpets, timpani, strings",
+    "Related Works": "Grande Allegro di Concerto by BottesiniAnalytical studies for Mendelssohn's Violin Concerto by Ševčík",
+    "Discography": "MusicBrainz",
+    "External Links": "Wikipedia articleAll Music Guide",
+    "id": "IMSLP913207"
+}
+```
+
+For MusicScore-400 subset, user can use the following method in your dataset definition:
+
+```python
+from torch.util.data import Dataset
+import json
+
+class MusicScore(Dataset):
+    def __init__(self):
+        self.meta_path = "/path/to/your/metadata"
+        with open(self.meta_path, 'r') as f:
+            self.meta_json = json.load(f)
+    
+    def __getitem__(self, index):
+        example = {}
+        image_path = self.instance_data_root[index % self.num_instance_images]
+        ...
+        score_id = image_path.split("_")[0]
+
+        try:
+            meta = next(item for item in self.meta_json if item['id'] == score_id)
+        except StopIteration:
+            print(f"Metadata with score_id {score_id} cannot be found")
+            raise ValueError
+
+        composer, instrumentation, piece_style, key, genre  = meta["Composer"], meta["Instrumentation"], meta["Piece Style"], meta["key"], meta["genre"]
+
+        example["caption"] = (
+            f"a music score, composer is {composer}, instrumentation is {instrumentation}, piece style is {piece_style}, key is {key}, genre is {genre}"
+        )
+
+        return example
+```
+
+
+
+## Citation
+
+```bibtex
+@misc{lin2024musicscore,
+      title={MusicScore: A Dataset for Music Score Modeling and Generation},
+      author={Yuheng Lin and Zheqi Dai and Qiuqiang Kong},
+      year={2024},
+      journal={arXiv preprint arXiv:2406.11462},
+}
+```