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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: '' as a scalar of type double
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2223, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
return array.cast(pa_type)
File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Failed to parse string: '' as a scalar of type double
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, 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 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1858, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
shape
list | data_type
string | chunk_grid
dict | chunk_key_encoding
dict | fill_value
float64 | codecs
list | attributes
dict | dimension_names
list | zarr_format
int64 | node_type
string | storage_transformers
list |
|---|---|---|---|---|---|---|---|---|---|---|
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
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}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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{
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"configuration": {
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"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
"endian": "little",
"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
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"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2,
37
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2,
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
"endian": "little",
"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic",
"level"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
37
] |
int64
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{}
|
[
"level"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2,
37
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2,
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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"checksum": null
}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic",
"level"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
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[
{
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}
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{
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"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
string
|
{
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2
]
}
}
|
{
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"configuration": {
"separator": "/"
}
}
|
[
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}
},
{
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"checksum": false
}
}
] |
{}
|
[
"statistic"
] | 3
|
array
|
[] |
|
[
2,
37
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2,
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
"endian": "little",
"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic",
"level"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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"level": null,
"checksum": null
}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
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"level": null,
"checksum": null
}
},
{
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"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic"
] | 3
|
array
|
[] |
[
2,
37
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2,
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
"endian": "little",
"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic",
"level"
] | 3
|
array
|
[] |
[
2,
37
] |
float32
|
{
"name": "regular",
"configuration": {
"chunk_shape": [
2,
37
]
}
}
|
{
"name": "default",
"configuration": {
"separator": "/"
}
}
| 0
|
[
{
"name": "bytes",
"configuration": {
"endian": "little",
"level": null,
"checksum": null
}
},
{
"name": "zstd",
"configuration": {
"endian": null,
"level": 0,
"checksum": false
}
}
] |
{
"_FillValue": "AAAAAAAA+H8="
}
|
[
"statistic",
"level"
] | 3
|
array
|
[] |
null | null | null | null | null | null |
{}
| null | 3
|
group
| null |
Appa
This repository contains data and model checkpoints for Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation by Gérôme Andry, Sacha Lewin, François Rozet, Omer Rochman, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire, and Gilles Louppe.
Please check out the Wiki for more information.
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