CEA Open Data
Collection
https://www.ceaforum.org/ceaod • 8 items • Updated
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 6 new columns ({'Subsample', 'Fruit diameter to length ratio', 'Caylx to fruit area ratio', 'Fruit exterior NDAI', 'Fruit interior NDAI', 'Fruit firmness (N)'}) and 3 missing columns ({'TA (g/L)', 'Brix (%)', 'Brix to TA ratio'}).
This happened while the csv dataset builder was generating data using
hf://datasets/koidra/VF_Strawberry/VF_Strawberry/OSU_IndoorStrawKubota/Indoor strawberry phenotyping fruit morphology & firmness data.csv (at revision 1d602a6b3a1b68217904ac863f466244db14b317)
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 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 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Cultivar name: string
Cultivar ID: string
Replicate: int64
Subsample: int64
Caylx to fruit area ratio: double
Fruit diameter to length ratio: double
Fruit interior NDAI: double
Fruit exterior NDAI: double
Fruit firmness (N): double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1466
to
{'Cultivar name': Value('string'), 'Cultivar ID': Value('string'), 'Replicate': Value('int64'), 'Brix (%)': Value('float64'), 'TA (g/L)': Value('float64'), 'Brix to TA ratio': Value('float64')}
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 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 1833, 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 6 new columns ({'Subsample', 'Fruit diameter to length ratio', 'Caylx to fruit area ratio', 'Fruit exterior NDAI', 'Fruit interior NDAI', 'Fruit firmness (N)'}) and 3 missing columns ({'TA (g/L)', 'Brix (%)', 'Brix to TA ratio'}).
This happened while the csv dataset builder was generating data using
hf://datasets/koidra/VF_Strawberry/VF_Strawberry/OSU_IndoorStrawKubota/Indoor strawberry phenotyping fruit morphology & firmness data.csv (at revision 1d602a6b3a1b68217904ac863f466244db14b317)
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.
Cultivar name string | Cultivar ID string | Replicate int64 | Brix (%) float64 | TA (g/L) float64 | Brix to TA ratio float64 |
|---|---|---|---|---|---|
Benton | K14 | 1 | 10.3 | 9.16 | 1.12 |
Benton | K14 | 2 | 9.9 | 9.86 | 1 |
Benton | K14 | 3 | 9.3 | 10.25 | 0.91 |
Bountiful | K01 | 1 | 7.5 | 13.9 | 0.54 |
Bountiful | K01 | 2 | 8.1 | 13.58 | 0.6 |
Bountiful | K01 | 3 | 7.1 | 11.53 | 0.62 |
Chandler | K09 | 1 | 7.5 | 9.99 | 0.75 |
Chandler | K09 | 2 | 7.7 | 9.99 | 0.77 |
Chandler | K09 | 3 | 7.3 | 9.99 | 0.73 |
Dover | K06 | 1 | 6.4 | 7.88 | 0.81 |
Dover | K06 | 2 | 6.8 | 8.2 | 0.83 |
Dover | K06 | 3 | 7.2 | 9.54 | 0.75 |
Earliglow | K10 | 1 | 9.6 | 9.99 | 0.96 |
Earliglow | K10 | 2 | 9.4 | 11.01 | 0.85 |
Earliglow | K10 | 3 | 9.9 | 10.25 | 0.97 |
Elsanta | K32 | 1 | 8.8 | 10.18 | 0.86 |
Elsanta | K32 | 2 | 7.1 | 9.41 | 0.75 |
Elsanta | K32 | 3 | 8.5 | 9.48 | 0.9 |
Honeoye | K27 | 1 | 8.1 | 10.05 | 0.81 |
Honeoye | K27 | 2 | 9.3 | 10.25 | 0.91 |
Honeoye | K27 | 3 | 7.4 | 10.05 | 0.74 |
Hood | K13 | 1 | 10.9 | 10.37 | 1.05 |
Hood | K13 | 2 | 10.9 | 9.67 | 1.13 |
Hood | K13 | 3 | 11.2 | 10.69 | 1.05 |
Mara des Bois | K08 | 1 | 8.1 | 8.2 | 0.99 |
Mara des Bois | K08 | 2 | 8 | 8.07 | 0.99 |
Mara des Bois | K08 | 3 | 7.8 | 7.24 | 1.08 |
Marshall | K33 | 1 | 8.6 | 10.05 | 0.86 |
Marshall | K33 | 2 | 9.7 | 10.69 | 0.91 |
Marshall | K33 | 3 | 9.9 | 10.76 | 0.92 |
Melody | K02 | 1 | 6.5 | 7.36 | 0.88 |
Melody | K02 | 2 | 6.3 | 7.43 | 0.85 |
Melody | K02 | 3 | 6.4 | 7.43 | 0.86 |
Miyazaki | K29 | 1 | 9.8 | 10.69 | 0.92 |
Miyazaki | K29 | 2 | 9.1 | 10.44 | 0.87 |
Miyazaki | K29 | 3 | 8.9 | 10.89 | 0.82 |
NW 90054-37 | K21 | 1 | 11.8 | 12.23 | 0.96 |
NW 90054-37 | K21 | 2 | 11.3 | 12.36 | 0.91 |
NW 90054-37 | K21 | 3 | 12.5 | 11.66 | 1.07 |
Nyohou | K30 | 1 | 9.7 | 11.4 | 0.85 |
Nyohou | K30 | 2 | 10.5 | 10.63 | 0.99 |
Nyohou | K30 | 3 | 10.3 | 10.76 | 0.96 |
ORUS 1267-236 | K31 | 1 | 7.4 | 10.44 | 0.71 |
ORUS 1267-236 | K31 | 2 | 7.6 | 10.12 | 0.75 |
ORUS 1267-236 | K31 | 3 | 8.8 | 10.63 | 0.83 |
ORUS 740-7 | K20 | 1 | 9.3 | 10.44 | 0.89 |
ORUS 740-7 | K20 | 2 | 8.8 | 9.86 | 0.89 |
ORUS 740-7 | K20 | 3 | 9.7 | 10.18 | 0.95 |
Perle de Prague | K11 | 1 | 9.2 | 11.72 | 0.79 |
Perle de Prague | K11 | 2 | 9.7 | 12.49 | 0.78 |
Perle de Prague | K11 | 3 | 9 | 12.42 | 0.72 |
Puget Beauty | K17 | 1 | 8.5 | 8.33 | 1.02 |
Puget Beauty | K17 | 2 | 9.4 | 9.03 | 1.04 |
Puget Beauty | K17 | 3 | 8.2 | 8.45 | 0.97 |
Redchief | K25 | 1 | 9.2 | 11.21 | 0.82 |
Redchief | K25 | 2 | 9.1 | 11.01 | 0.83 |
Redchief | K25 | 3 | 9 | 11.08 | 0.81 |
Shuksan | K12 | 1 | 9.6 | 11.34 | 0.85 |
Shuksan | K12 | 2 | 9.8 | 11.85 | 0.83 |
Shuksan | K12 | 3 | 9 | 11.21 | 0.8 |
Sweet Sunrise | K15 | 1 | 8.5 | 10.31 | 0.82 |
Sweet Sunrise | K15 | 2 | 8.5 | 10.05 | 0.85 |
Sweet Sunrise | K15 | 3 | 8.7 | 9.99 | 0.87 |
Tamella | K22 | 1 | 4.4 | 5.96 | 0.74 |
Tamella | K22 | 2 | 4.8 | 5.96 | 0.81 |
Tamella | K22 | 3 | 5 | 6.15 | 0.81 |
Tangi | K04 | 1 | 9.7 | 12.68 | 0.76 |
Tangi | K04 | 2 | 9.5 | 13.45 | 0.71 |
Tangi | K04 | 3 | 9.9 | 13.45 | 0.74 |
Benton | K14 | 1 | null | null | null |
Benton | K14 | 1 | null | null | null |
Benton | K14 | 1 | null | null | null |
Benton | K14 | 2 | null | null | null |
Benton | K14 | 2 | null | null | null |
Benton | K14 | 2 | null | null | null |
Benton | K14 | 3 | null | null | null |
Benton | K14 | 3 | null | null | null |
Benton | K14 | 3 | null | null | null |
Bountiful | K01 | 1 | null | null | null |
Bountiful | K01 | 1 | null | null | null |
Bountiful | K01 | 1 | null | null | null |
Bountiful | K01 | 2 | null | null | null |
Bountiful | K01 | 2 | null | null | null |
Bountiful | K01 | 2 | null | null | null |
Bountiful | K01 | 3 | null | null | null |
Bountiful | K01 | 3 | null | null | null |
Bountiful | K01 | 3 | null | null | null |
Chandler | K09 | 1 | null | null | null |
Chandler | K09 | 1 | null | null | null |
Chandler | K09 | 1 | null | null | null |
Chandler | K09 | 2 | null | null | null |
Chandler | K09 | 2 | null | null | null |
Chandler | K09 | 2 | null | null | null |
Chandler | K09 | 3 | null | null | null |
Chandler | K09 | 3 | null | null | null |
Chandler | K09 | 3 | null | null | null |
Dover | K06 | 1 | null | null | null |
Dover | K06 | 1 | null | null | null |
Dover | K06 | 1 | null | null | null |
Dover | K06 | 2 | null | null | null |
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