| --- |
| license: mit |
| language: |
| - en |
| - ko |
| tags: |
| - music |
| - music-information-retrieval |
| - plagiarism-detection |
| - music-similarity |
| task_categories: |
| - audio-classification |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: smp_dataset.csv |
| arxiv: 2601.21260 |
| --- |
| |
| # Similar Music Pair (SMP) Dataset |
|
|
| The SMP (Segment-based Music Plagiarism) dataset contains music plagiarism |
| detection pairs with temporal segment annotations. Each row represents a pair |
| of songs with identified similar segments. |
|
|
| This dataset accompanies the paper |
| [Music Plagiarism Detection: Problem Formulation and a Segment-based Solution](https://arxiv.org/abs/2601.21260). |
|
|
| - Code: https://github.com/Mippia/Music-Plagiarism-Detection |
| - Demo: https://huggingface.co/spaces/mippia/MPD-demo |
| - Project page: https://mippia.github.io/icassp-mpd/ |
|
|
| ## Dataset Structure |
|
|
| | Column | Description | |
| | --- | --- | |
| | `ori_title` | Title of the original song | |
| | `comp_title` | Title of the comparison song | |
| | `ori_link` | YouTube link to the original song | |
| | `comp_link` | YouTube link to the comparison song | |
| | `relation` | Relationship type (e.g., `plag` for plagiarism) | |
| | `ori_times` | List of start times (seconds) of similar segments in the original song | |
| | `comp_times` | List of start times (seconds) of similar segments in the comparison song | |
| | `pair_number` | Unique identifier for song pairs | |
| | `acoustic_idx` | Unique identifier for segment pairs | |
|
|
| Time annotations are JSON-formatted lists; `ori_times[i]` and `comp_times[i]` |
| correspond to the same matching segment between the two songs. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("mippia/SMP-dataset") |
| print(dataset["train"][0]) |
| ``` |
|
|
| ## Notes |
|
|
| - **Audio is not included.** Only YouTube links and temporal annotations are |
| provided. Users must retrieve audio from YouTube themselves. |
| - The dataset includes both English and Korean songs across multiple genres. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{go2026mpd, |
| title={Music Plagiarism Detection: Problem Formulation and a Segment-based Solution}, |
| author={Go, Seonghyeon and Kim, Yumin}, |
| booktitle={ICASSP}, |
| year={2026} |
| } |
| ``` |
|
|
| ## License |
|
|
| Released under MIT License. |
