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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 2 new columns ({'S3B_20190810T135525_20190810T135539.tif', '0200599_-70.25_-55.25'}) and 24 missing columns ({'cultivated and managed vegetation/agriculture', 'permanent water bodies', 'herbaceous wetland', 'closed forest (other)', 'open forest (evergreen needle leaf)', 'moss and lichen', 'oceans / seas', 'herbaceous vegetation', 'unknown', 'open forest (other)', 'closed forest (evergreen broad leaf)', 'shrubs', 'bare / sparse vegetation', 'closed forest (deciduous broad leaf)', 'urban / built-up', 'open forest (evergreen broad leaf)', 'open forest (deciduous broad leaf)', 'closed forest (evergreen needle leaf)', 'open forest (mixed)', 'open forest (deciduous needle leaf)', 'closed forest (deciduous needle leaf)', 'snow and ice', 'closed forest (mixed)', 'PID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/isaaccorley/lc100-l/static_fnames-train.csv (at revision ab9bf7972885ab9b734055440b041d9928bc10ca)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0200599_-70.25_-55.25: string
S3B_20190810T135525_20190810T135539.tif: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 582
to
{'PID': Value(dtype='string', id=None), 'unknown': Value(dtype='int64', id=None), 'shrubs': Value(dtype='int64', id=None), 'herbaceous vegetation': Value(dtype='int64', id=None), 'cultivated and managed vegetation/agriculture': Value(dtype='int64', id=None), 'urban / built-up': Value(dtype='int64', id=None), 'bare / sparse vegetation': Value(dtype='int64', id=None), 'snow and ice': Value(dtype='int64', id=None), 'permanent water bodies': Value(dtype='int64', id=None), 'herbaceous wetland': Value(dtype='int64', id=None), 'moss and lichen': Value(dtype='int64', id=None), 'closed forest (evergreen needle leaf)': Value(dtype='int64', id=None), 'closed forest (evergreen broad leaf)': Value(dtype='int64', id=None), 'closed forest (deciduous needle leaf)': Value(dtype='int64', id=None), 'closed forest (deciduous broad leaf)': Value(dtype='int64', id=None), 'closed forest (mixed)': Value(dtype='int64', id=None), 'closed forest (other)': Value(dtype='int64', id=None), 'open forest (evergreen needle leaf)': Value(dtype='int64', id=None), 'open forest (evergreen broad leaf)': Value(dtype='int64', id=None), 'open forest (deciduous needle leaf)': Value(dtype='int64', id=None), 'open forest (deciduous broad leaf)': Value(dtype='int64', id=None), 'open forest (mixed)': Value(dtype='int64', id=None), 'open forest (other)': Value(dtype='int64', id=None), 'oceans / seas': Value(dtype='int64', 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 1428, 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 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 2 new columns ({'S3B_20190810T135525_20190810T135539.tif', '0200599_-70.25_-55.25'}) and 24 missing columns ({'cultivated and managed vegetation/agriculture', 'permanent water bodies', 'herbaceous wetland', 'closed forest (other)', 'open forest (evergreen needle leaf)', 'moss and lichen', 'oceans / seas', 'herbaceous vegetation', 'unknown', 'open forest (other)', 'closed forest (evergreen broad leaf)', 'shrubs', 'bare / sparse vegetation', 'closed forest (deciduous broad leaf)', 'urban / built-up', 'open forest (evergreen broad leaf)', 'open forest (deciduous broad leaf)', 'closed forest (evergreen needle leaf)', 'open forest (mixed)', 'open forest (deciduous needle leaf)', 'closed forest (deciduous needle leaf)', 'snow and ice', 'closed forest (mixed)', 'PID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/isaaccorley/lc100-l/static_fnames-train.csv (at revision ab9bf7972885ab9b734055440b041d9928bc10ca)
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.
PID
string | unknown
int64 | shrubs
int64 | herbaceous vegetation
int64 | cultivated and managed vegetation/agriculture
int64 | urban / built-up
int64 | bare / sparse vegetation
int64 | snow and ice
int64 | permanent water bodies
int64 | herbaceous wetland
int64 | moss and lichen
int64 | closed forest (evergreen needle leaf)
int64 | closed forest (evergreen broad leaf)
int64 | closed forest (deciduous needle leaf)
int64 | closed forest (deciduous broad leaf)
int64 | closed forest (mixed)
int64 | closed forest (other)
int64 | open forest (evergreen needle leaf)
int64 | open forest (evergreen broad leaf)
int64 | open forest (deciduous needle leaf)
int64 | open forest (deciduous broad leaf)
int64 | open forest (mixed)
int64 | open forest (other)
int64 | oceans / seas
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0200599_-70.25_-55.25 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0203488_-68.00_-54.75 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
0207805_-68.75_-54.00 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
0209248_-68.00_-53.75 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0216431_-72.25_-52.50 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
0216437_-70.75_-52.50 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
0217921_-59.75_-52.25 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
0219308_-73.00_-52.00 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
0219355_-61.25_-52.00 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0220764_-69.00_-51.75 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0220807_-58.25_-51.75 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
0222241_-59.75_-51.50 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
0222248_-58.00_-51.50 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
0225075_-71.25_-51.00 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0227959_-70.25_-50.50 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0229404_-69.00_-50.25 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0232269_-72.75_-49.75 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
0233719_-70.25_-49.50 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0236582_-74.50_-49.00 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 |
0238040_-70.00_-48.75 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0238050_-67.50_-48.75 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0242363_-69.25_-48.00 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0243793_-71.75_-47.75 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0246676_-71.00_-47.25 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0248096_-76.00_-47.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0248111_-72.25_-47.00 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
0249072_168.00_-47.00 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
0249569_-67.75_-46.75 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0251006_-68.50_-46.50 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0251958_169.50_-46.50 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
0253880_-70.00_-46.00 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0254831_167.75_-46.00 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
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0256763_-69.25_-45.50 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
0258184_-74.00_-45.25 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 |
0258211_-67.25_-45.25 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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0268295_-66.25_-43.50 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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0302855_-66.25_-37.50 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0303687_141.75_-37.50 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
0303722_150.50_-37.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
0304332_-57.00_-37.25 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
0305135_143.75_-37.25 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
0305157_149.25_-37.25 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
0305715_-71.25_-37.00 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
0305741_-64.75_-37.00 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
0306594_148.50_-37.00 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
0307206_-58.50_-36.75 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
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