Comments (1)
Thanks for reaching out!
That is correct: at the moment, Croissant does not support h5 files: one cannot define filesets from h5 groups within h5 files or have fields which source is h5 datasets.
Support for h5 files could be added in a next version of the Croissant format spec.
In the meantime, we suggest to create a Croissant dataset that specifies the dataset level information and the resources, while omitting RecordSets that would need data coming from h5 files. I would use mime type application/x-hdf5
for the encodingFormat
of your corresponding FileObject definitions. For example:
{
"name": "my-h5-dataset",
"license": "...",
"description": "...",
"distribution": [
{
"@type": "cr:FileObject",
"@id": "data",
"name": "data",
"contentUrl": "data/my_h5_file.h5",
"encodingFormat": "application/x-hdf5",
"sha256": "..."
},
...
]
}
This would allow tools that can work with only such metadata to already support your dataset (eg: index dataset, download raw data), while providing a signal for the Croissant contributors on the importance of supporting h5 format, as well as an example of dataset using h5 to test implementations when h5 support is added.
Please let us know if there are problems with defining such an incomplete croissant definition and we will look into this.
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Related Issues (20)
- Joins as described by Croissant Format Specification are not supported by mlcroissant python library.
- Add containedIn fileProperty to the Extract class
- [NeurIPS] How do i create a Croissant File using this library HOT 2
- [NeurIPS] Fileld has no source HOT 8
- Feature Request: support for CoNLL format HOT 2
- [NeurIPS] How do i create a Croissant File using this library for my dataset? HOT 1
- [NeurIPS] Compatibility with HuggingFace Image dataset HOT 1
- [NeurIPS] Data type extension (Video and multichannel time series ) HOT 3
- [NeurIPS] URL to dataset metedata
- Example for audio dataset HOT 2
- [NeurIPS] How to "ingest" multiple datasets made of .xz files as data/samples and space-separated .txt files as ground truth
- Please improve documentation
- Intro example not working HOT 3
- [NeurIPS] Support for (Sequential) Dataset Stored in TDMS Files HOT 3
- JSON LD parsing fails when multiple strings given to FileSet.includes HOT 1
- [NeurIPS] Join fails with reference if read from fileObject HOT 2
- Feature request: loading a record set as a pandas dataframe HOT 3
- Expose the underlying pd.DataFrames instead of an iterator
- Feature request: Add a mapping from FieldId to RecordSetId to Metadata.
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