Datasets › MusicBrainz20K
MusicBrainz20K
The MusicBrainz20K dataset for entity resolution and entity clustering is based on real records about songs from the MusicBrainz database. Each record is described with the following attributes: artist, title, album, year and length. The records have been modified with the DAPO [1] data generator. The generated dataset consists of five sources and approximately 20K records describing 10K unique song entities. It contains duplicates for 50% of the original records in two to five sources which are generated with a high degree of corruption to stress-test the entity resolution and clustering approaches.
[1] Hildebrandt, Kai, et al. "Large-scale data pollution with Apache Spark." IEEE Transactions on Big Data 6.2 (2017): 396-411.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Entity Resolution | MusicBrainz20K | ALMSER-GB F1 0.951 | Graph-boosted Active Learning for Multi-Source Entity Resolution | wbsg-uni-mannheim/ALMSER-GB | 3 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Graph-boosted Active Learning for Multi-Source Entity Resolution | 1 | 1 | 30 Sep 2021 | not harvested |
| Scalable Matching and Clustering of Entities with FAMER | 0 | 2 | 1 Oct 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- MusicBrainz20K
1 variant name, as the archive lists them.
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