Add files using upload-large-folder tool

.gitattributes

@@ -57,3 +57,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+Audio/**.wav filter=lfs diff=lfs merge=lfs -text
+Handskeleton/**.json filter=lfs diff=lfs merge=lfs -text
+MIDI/**.mid filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,122 @@
 ---
-license: cc-by-4.0
+license: cc-by-nc-sa-4.0
 ---
+
+# PianoVAM: A Multimodal Dataset for Piano Music Transcription
+
+## Summary
+
+This repository contains the **PianoVAM (Visual and Audio Music Performance)** dataset, a multi-modal collection of piano performances designed for research in Music Information Retrieval (MIR).
+
+The dataset features synchronized recordings of various piano pieces, providing rich data across several modalities. Our goal is to provide a comprehensive resource for developing and evaluating models that can understand the complex relationship between the visual, auditory, and symbolic aspects of music performance.
+
+## How to Cite
+
+If you use the PianoVAM dataset in your research, please cite it as follows:
+
+```bibtex
+@inproceedings{kim2025pianovam,
+  title={PianoVAM: A Multimodal Piano Performance Dataset},
+  author={Kim, Yonghyun and Park, Junhyung and Bae, Joonhyung and Kim, Kirak and Kwon, Taegyun and Lerch, Alexander and Nam, Juhan},
+  booktitle={Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR)},
+  year={2025}
+}
+```
+
+## Dataset Description
+
+The dataset consists of various piano pieces performed by multiple pianists. The data was captured simultaneously from a digital piano and high-resolution cameras to ensure precise synchronization between the audio, video, and MIDI streams. The collection is designed to cover a range of musical complexities and styles.
+
+## Directory Structure
+
+The dataset is organized into the following directories based on data modality:
+
+```
+PianoVAM_v1.0/
+├── Audio/
+├── Handskeleton/
+├── MIDI/
+├── TSV/
+├── metadata.json
+├── README.md
+├── Video/         (Coming Soon)
+└── Fingering/     (Coming Soon)
+```
+
+### Folder Contents
+
+* **`Audio/`**: Contains the raw audio recordings of the piano performances.
+
+    * **Format:** Uncompressed WAV (`.wav`).
+    * **Sample Rate:** 44100 Hz.
+
+* **`Handskeleton/`**: Contains the 3D hand landmark data for each performance.
+
+    * **Format:** JSON (`.json`) files.
+    * **Details:** Each file contains frame-by-frame coordinates for the 21 keypoints of both the left and right hands, as captured by MediaPipe Hands.
+
+* **`MIDI/`**: Contains the ground truth performance data recorded directly from a digital piano.
+
+    * **Format:** Standard MIDI Files (`.mid`).
+    * **Details:** These files provide the precise timing (onset, offset), pitch, and velocity for every note played.
+
+* **`metadata.json`**: A JSON file that maps each recording to its corresponding data split (`train`, `valid`, `test`, `special`) and provides other relevant information.
+```json
+{
+"0": {
+    "record_time": "2024-02-14_19-10-09",
+    "split": "train",
+    "composer": "E. Grieg",
+    "piece": "Piano Concerto",
+    "performance_method": "Solo",
+    "performance_type": "DailyPractice",
+    "duration": "0 days 00:12:25.493.000000",
+    "P1_name": "Yonghyun",
+    "P1_gender": "Male",
+    "P1_age": "20-29",
+    "P1_skill": "Advanced",
+    "P1_musicmajor": "No",
+    "P2_name": null,
+    "P2_gender": null,
+    "P2_age": null,
+    "P2_skill": null,
+    "P2_musicmajor": null,
+    "Point_LT": "121, 355",
+    "Point_RT": "1839, 345",
+    "Point_RB": "1839, 558",
+    "Point_LB": "120, 564"
+},
+    ...
+}
+```
+
+* **`TSV/`**: Contains pre-processed label data derived from the MIDI files for easier parsing. Each file is a tab-separated value file with 5 columns.
+
+    * **Format:** TSV (`.tsv`).
+    * **Header:** `onset`, `key_offset`, `frame_offset`, `note`, `velocity`
+    * **Example:**
+        ```
+        onset	key_offset	frame_offset	note	velocity
+        6.684375	6.740625	6.740625	105	92
+        6.685417	6.735417	6.735417	96	87
+        ```
+    * **Column Descriptions:**
+        * **`onset`**: The start time of the note in seconds.
+        * **`key_offset`**: The time when the finger is **physically released** from the key, in seconds. This is useful for video-based research such as fingering analysis.
+        * **`frame_offset`**: The time when the sound **completely ends**, considering pedal usage. This is analogous to the 'offset' used in traditional audio-only transcription.
+        * **`note`**: The MIDI note number (pitch).
+        * **`velocity`**: The MIDI velocity (how hard the key was struck).
+
+### Coming Soon
+
+  * **`Video/`**: (Coming Soon) This directory will contain the video recordings of the performances. The videos will be synchronized with the audio and MIDI data. The planned format is HDF5 (`.h5`) containing frame-by-frame image data.
+
+  * **`Fingering/`**: (Coming Soon) This directory will contain detailed frame-by-frame fingering annotations for each note played.
+
+## License
+
+This dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)**. You are free to share and adapt the material for non-commercial purposes, provided you give appropriate credit and distribute your contributions under the same license.
+
+## Contact
+
+For any questions about the dataset, please open an issue in the Community tab of this repository or contact [Your Name/Email].

TSV/2024-02-15_20-47-59.tsv

@@ -0,0 +1,1663 @@
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