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image-depth-dataset

by George A. Mitchell gamitchell/image-depth-dataset

Preparation notes and schema examples for Music tasks using Image Depth data. Full source material is intentionally not bundled, so provenance and licensing remain explicit. - preprocess.py — loading, cleaning, and split preparation code.

Rows—
Configurations—
Size13.4 KB
Licensemit
AccessPublicly accessible
Monthly Downloads—

Dataset Card

By George A. Mitchell, published under mit, revision 9bd1b0bd1ed4.

Music Image Depth Data Notes

Dataset summary

Preparation notes and schema examples for Music tasks using Image Depth data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.

Included material

  • preprocess.py — loading, cleaning, and split preparation code.
  • dataset_infos.json — schema and split metadata.
  • metadata_sample.jsonl — small, human-readable records for checking the schema.
  • README.md — data card and usage notes.

Processing choices

Stage Setting
Storage format npy sharded
Preprocessing progressive
Augmentation autoaugment
Split strategy random 90 10
Sampling contrastive
Quality checks adaptive
Labeling weak supervision

Validation checklist

Before using the prepared data, verify source licenses, duplicates across splits, missing values, label balance, and modality-specific corruption. Record the source version and every filtering rule so a later run can reproduce the same rows.

Intended use

The repository is suitable for testing the data pipeline, adapting it to a documented source, and preparing controlled research splits. Release status: metadata sample; full source data not bundled. The sample is for schema inspection only and should not be reported as a full training corpus.

Risks and limitations

The loader cannot guarantee that an external source is representative, correctly licensed, or free of sensitive information. Users remain responsible for source review, privacy checks, and bias analysis before training or redistribution.

Files

  • preprocess.py — primary artifact
  • README.md — this documentation
  • dataset_infos.json — schema metadata
  • metadata_sample.jsonl — schema sample

License

Released under mit. Review the source-data terms separately when this repository is used with external datasets.

Details

Repository
gamitchell/image-depth-dataset
Publisher
George A. Mitchell
Task category
Not stated by the source
Tags
dataset, music, image-depth
Size category
Not stated by the source
Languages
Not stated by the source
Revision
9bd1b0bd1ed4a5936b74f9f00ead52e443c1e769
Last updated
2026-10-02

Files

5 files, 13.4 KB in total.

Data2 files · 3.4 KB
Documentation1 file · 2.1 KB
Other1 file · 5.4 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
dataset_infos.jsonData508 B—
metadata_sample.jsonlData2.9 KB—
README.mdDocumentation2.1 KB—
preprocess.pyOther5.4 KB—
.gitattributesRepository2.5 KB—

License and Download

License
mit
Access
No access gate
Download from George A. Mitchell

Released by George A. Mitchell through its official repository on Hugging Face. Read the license.