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Datasets:
ageroul
/
SECD

Tasks:
Audio Classification
Modalities:
Audio
Text
Formats:
parquet
Size:
100K - 1M
Tags:
audio
music
music-information-retrieval
mir
chords
string-instruments
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
ageroul commited on
Commit
cb4ee8e
·
verified ·
1 Parent(s): 14863ba

Update SECD metadata to Zenodo maintenance release

Browse files
Files changed (29) hide show
  1. README.md +12 -13
  2. data/7th_chords_loose/train-00000-of-00017.parquet +1 -1
  3. data/7th_chords_loose/train-00001-of-00017.parquet +2 -2
  4. data/7th_chords_loose/train-00002-of-00017.parquet +1 -1
  5. data/7th_chords_loose/train-00003-of-00017.parquet +1 -1
  6. data/7th_chords_loose/train-00004-of-00017.parquet +1 -1
  7. data/7th_chords_loose/train-00005-of-00017.parquet +1 -1
  8. data/7th_chords_loose/train-00006-of-00017.parquet +2 -2
  9. data/7th_chords_loose/train-00007-of-00017.parquet +1 -1
  10. data/7th_chords_loose/train-00008-of-00017.parquet +2 -2
  11. data/7th_chords_loose/train-00009-of-00017.parquet +2 -2
  12. data/7th_chords_loose/train-00010-of-00017.parquet +2 -2
  13. data/7th_chords_loose/train-00011-of-00017.parquet +2 -2
  14. data/7th_chords_loose/train-00012-of-00017.parquet +1 -1
  15. data/7th_chords_strict/train-00000-of-00002.parquet +2 -2
  16. data/7th_chords_strict/train-00001-of-00002.parquet +2 -2
  17. data/triads_loose/train-00000-of-00015.parquet +2 -2
  18. data/triads_loose/train-00001-of-00015.parquet +2 -2
  19. data/triads_loose/train-00002-of-00015.parquet +2 -2
  20. data/triads_loose/train-00003-of-00015.parquet +2 -2
  21. data/triads_loose/train-00004-of-00015.parquet +2 -2
  22. data/triads_loose/train-00005-of-00015.parquet +2 -2
  23. data/triads_loose/train-00006-of-00015.parquet +1 -1
  24. data/triads_loose/train-00007-of-00015.parquet +2 -2
  25. data/triads_loose/train-00008-of-00015.parquet +2 -2
  26. data/triads_loose/train-00009-of-00015.parquet +2 -2
  27. data/triads_loose/train-00010-of-00015.parquet +2 -2
  28. data/triads_loose/train-00011-of-00015.parquet +2 -2
  29. data/triads_strict/train.parquet +2 -2
README.md CHANGED
@@ -102,7 +102,7 @@ dataset_info:
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  - name: train
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  num_bytes: 8227282409
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  num_examples: 92598
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- download_size: 8179853294
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  dataset_size: 8227282409
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  - config_name: 7th_chords_strict
@@ -171,7 +171,7 @@ dataset_info:
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  - name: train
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  num_bytes: 771154860
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  num_examples: 8680
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- download_size: 766782323
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  dataset_size: 771154860
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  - config_name: harmonic_intervals_loose
@@ -364,7 +364,7 @@ dataset_info:
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  - name: train
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  num_bytes: 7097369872
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  num_examples: 80000
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- download_size: 7066768509
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  dataset_size: 7097369872
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  - config_name: triads_strict
@@ -423,7 +423,7 @@ dataset_info:
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  - name: train
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  num_examples: 4586
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  num_bytes: 407011193
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- download_size: 306357756
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  dataset_size: 407011193
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  ---
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@@ -577,10 +577,12 @@ To decode the audio waveform, use the default `Audio` feature. This may require
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  This Hugging Face repository is the **ML-native distribution layer** of SECD.
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- The canonical archival and versioned release remains available through Zenodo:
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  **Dataset DOI:**
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- `10.5281/zenodo.15547207`
 
 
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  Zenodo should be used when an archival citation, original release package, or preserved source distribution is required.
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@@ -590,11 +592,7 @@ The Hugging Face version is intended to make SECD easier to discover, inspect, l
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  SECD is described in the peer-reviewed article:
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- **SECD: A String Ensemble Chords Dataset for Multi-Task Audio Classification**
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- *Acoustics*, 2026.
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-
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- **Article DOI:**
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- `10.3390/acoustics8030048`
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  Researchers using SECD are encouraged to cite both the dataset release and the associated publication where appropriate.
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@@ -611,7 +609,7 @@ The Hugging Face conversion preserves the original source metadata and source fi
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  - embedded mixture audio using the Hugging Face `Audio` feature;
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  - a `source_csv` field identifying the originating metadata file.
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- The conversion was performed deterministically from the canonical SECD release.
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  The six Hugging Face configurations contain exactly:
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@@ -636,6 +634,7 @@ The Hugging Face `train` split should therefore be interpreted as the complete c
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  ## Resources
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- - Dataset archive: https://doi.org/10.5281/zenodo.15547207
 
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  - Associated article: https://doi.org/10.3390/acoustics8030048
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  - Source repository: https://github.com/ageroul/SECD
 
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  - name: train
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  num_bytes: 8227282409
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  num_examples: 92598
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+ download_size: 8179853279
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  dataset_size: 8227282409
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  - config_name: 7th_chords_strict
 
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  - name: train
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  num_bytes: 771154860
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  num_examples: 8680
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+ download_size: 766782309
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  dataset_size: 771154860
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  - config_name: harmonic_intervals_loose
 
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  - name: train
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  num_bytes: 7097369872
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  num_examples: 80000
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+ download_size: 7066768577
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  dataset_size: 7097369872
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  - config_name: triads_strict
 
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  - name: train
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  num_examples: 4586
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  num_bytes: 407011193
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+ download_size: 306357735
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  dataset_size: 407011193
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  ---
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577
 
578
  This Hugging Face repository is the **ML-native distribution layer** of SECD.
579
 
580
+ The canonical archival and versioned maintenance release remains available through Zenodo:
581
 
582
  **Dataset DOI:**
583
+ [https://doi.org/10.5281/zenodo.22728050](https://doi.org/10.5281/zenodo.22728050)
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+
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+ The maintenance release corrects octave numbering for enharmonic `B#`/`Cb` spellings in `theory_name` across 12 metadata CSVs. The other 10 metadata CSVs are unchanged. Audio content, WAV filenames and paths, schemas, row counts, and all other metadata fields are unchanged.
586
 
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  Zenodo should be used when an archival citation, original release package, or preserved source distribution is required.
588
 
 
592
 
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  SECD is described in the peer-reviewed article:
594
 
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+ Geroulanos, A.; Zervas, P.; Tzimas, G. SECD: A String Ensemble Chords Dataset for Multi-Task Audio Classification. *Acoustics* **2026**, *8*, 48. https://doi.org/10.3390/acoustics8030048
 
 
 
 
596
 
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  Researchers using SECD are encouraged to cite both the dataset release and the associated publication where appropriate.
598
 
 
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  - embedded mixture audio using the Hugging Face `Audio` feature;
610
  - a `source_csv` field identifying the originating metadata file.
611
 
612
+ The conversion was performed deterministically from the canonical SECD maintenance release.
613
 
614
  The six Hugging Face configurations contain exactly:
615
 
 
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  ## Resources
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+ - Dataset archive: https://doi.org/10.5281/zenodo.22728050
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+ - Dataset concept DOI: [https://doi.org/10.5281/zenodo.15547206](https://doi.org/10.5281/zenodo.15547206)
639
  - Associated article: https://doi.org/10.3390/acoustics8030048
640
  - Source repository: https://github.com/ageroul/SECD
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