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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'num_samples', 'attributes', 'split', 'Dataset'}) and 3 missing columns ({'chunks', 'config', 'updated_at'}).
This happened while the json dataset builder was generating data using
hf://datasets/earthflow/EarthNets_GAMUS/EarthNets_GAMUS/gamus_dataset_train/metadata.json (at revision 8beb82f04fc41cc24215979f9aad56fb2e4c2355)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Dataset: string
split: string
num_samples: int64
attributes: struct<name: struct<dtype: string>, image: struct<dtype: string, format: string>, class: struct<dtype: string, format: string>, height: struct<dtype: string, format: string>>
child 0, name: struct<dtype: string>
child 0, dtype: string
child 1, image: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
child 2, class: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
child 3, height: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
to
{'chunks': [{'chunk_bytes': Value(dtype='int64', id=None), 'chunk_size': Value(dtype='int64', id=None), 'dim': Value(dtype='null', id=None), 'filename': Value(dtype='string', id=None)}], 'config': {'chunk_bytes': Value(dtype='int64', id=None), 'chunk_size': Value(dtype='null', id=None), 'compression': Value(dtype='null', id=None), 'data_format': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'data_spec': Value(dtype='string', id=None), 'encryption': Value(dtype='null', id=None), 'item_loader': Value(dtype='string', id=None)}, 'updated_at': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'num_samples', 'attributes', 'split', 'Dataset'}) and 3 missing columns ({'chunks', 'config', 'updated_at'}).
This happened while the json dataset builder was generating data using
hf://datasets/earthflow/EarthNets_GAMUS/EarthNets_GAMUS/gamus_dataset_train/metadata.json (at revision 8beb82f04fc41cc24215979f9aad56fb2e4c2355)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
chunks
list | config
dict | updated_at
string | Dataset
string | split
string | num_samples
int64 | attributes
dict |
|---|---|---|---|---|---|---|
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] | {
"chunk_bytes": 256000000,
"chunk_size": null,
"compression": null,
"data_format": [
"str",
"numpy",
"numpy",
"numpy"
],
"data_spec": "[1, {\"type\": \"builtins.dict\", \"context\": \"[\\\"name\\\", \\\"image\\\", \\\"class\\\", \\\"height\\\"]\", \"children_spec\": [{\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}]}]",
"encryption": null,
"item_loader": "PyTreeLoader"
} | 1733575671.3394818 | null | null | null | null |
null | null | null | GAMUS | train | 5,004 | {
"name": {
"dtype": "str"
},
"image": {
"dtype": "uint8",
"format": "pil"
},
"class": {
"dtype": "uint8",
"format": "pil"
},
"height": {
"dtype": "float16",
"format": "numpy"
}
} |
How to use it
Install Dataset4EO
git clone --branch streaming https://github.com/EarthNets/Dataset4EO.git
pip install -e .
Then download the dataset from this Huggingface repo.
import dataset4eo as eodata
import time
train_dataset = eodata.StreamingDataset(input_dir="EarthNets_GAMUS/EarthNets_GAMUS/optimized_gamus_train", num_channels=3, shuffle=True, drop_last=True)
sample = dataset[101]
print(sample.keys())
print(sample["image"])
print(sample["simage"].shape)
print(sample["label"])
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