Datasets:
blade57
/
ModelNumber_Sample

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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 1 missing columns ({'model_search_embeddings'})

This happened while the csv dataset builder was generating data using

hf://datasets/blade57/ModelNumber_Sample/ModelsNumbers_No_Embeddings.csv (at revision 6d0013c69240bab9a9ca1040559f215242764a28)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              brand: string
              model_number: string
              model_name: string
              year: int64
              randomdata: int64
              model_search: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 963
              to
              {'brand': Value(dtype='string', id=None), 'model_number': Value(dtype='string', id=None), 'model_name': Value(dtype='string', id=None), 'year': Value(dtype='int64', id=None), 'randomdata': Value(dtype='int64', id=None), 'model_search': Value(dtype='string', id=None), 'model_search_embeddings': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 1 missing columns ({'model_search_embeddings'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/blade57/ModelNumber_Sample/ModelsNumbers_No_Embeddings.csv (at revision 6d0013c69240bab9a9ca1040559f215242764a28)
              
              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)

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brand
string
model_number
string
model_name
string
year
int64
randomdata
int64
model_search
string
model_search_embeddings
string
Landini
L4240HSTC
Hydraulic Excavator
2,017
1,439
L4240HSTC
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John Deere
LS1401203
4WD Tractor
2,007
1,203
LS1401203
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Volvo
R40441789
Wheel Loader
2,017
1,789
R40441789
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Volvo
Lexion 520
4WD Tractor
2,012
1,415
Lexion520
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Caterpillar
9570RT
2WD Tractor
2,005
1,531
9570RT
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John Deere
H255S1714
Vibratory Smooth Drum Roller
2,017
1,714
H255S1714
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Wil-Rich
Optimer 4001
Vibratory Smooth Drum Roller
2,013
1,296
Optimer4001
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John Deere
E37C1403
Hydraulic Excavator
2,013
1,403
E37C1403
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Komatsu
STEIGER 420 WHEELED
Hydraulic Excavator
2,004
1,476
STEIGER420WHEELED
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Caterpillar
PC600-6
Feller Buncher
2,005
1,899
PC600-6
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Claas
2261598
Wheel Loader
2,005
1,598
2261598
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Kubota
AP1055E
Crawler Tractor
2,000
1,641
AP1055E
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Case IH
21801534
Cultivator
2,011
1,534
21801534
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Komatsu
D53P-16
Wheel Loader
2,008
1,780
D53P-16
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9.52593610e-02 4.15605977e-02 4.30032723e-02 8.04561842e-03 5.85893542e-02 -8.39167982e-02 -1.75800566e-02 5.72362058e-02 6.64771423e-02 2.19622441e-02 1.05641074e-01 -4.52093109e-02 -4.63800281e-02 -6.73154974e-03 8.55491906e-02 2.61509288e-02 -2.72756163e-02 4.63378020e-02 -4.69361283e-02 -1.79953706e-02 6.37597451e-03 3.65266241e-02 -1.11689027e-02 -5.56002781e-02 1.12051973e-02 1.05506489e-02 4.05998677e-02 5.83549142e-02 3.90226021e-02 -6.46853298e-02 -1.89829972e-02 -1.27779192e-03 3.82261723e-02 2.35678838e-03 -4.93395049e-03 -2.68449746e-02 -1.09005964e-03 -1.36993481e-02 8.31199065e-02 2.24228222e-02 5.85868843e-02 -3.50580923e-02 -1.14569897e-02 -4.33241278e-02 -9.77544487e-02 1.35193095e-02 -7.38486275e-03 -3.73403542e-02 -9.44249704e-02 4.58025672e-02 -6.54797107e-02 5.55505045e-02 1.47626875e-02 -1.01313787e-02 3.16861048e-02 2.17672717e-02 3.11202705e-02 5.31055592e-02 -6.34632558e-02 -4.20032889e-02 9.92947891e-02 -7.15774894e-02 1.34646716e-02 -9.67875682e-03]]
Caterpillar
5325 Utility
4WD Tractor
2,011
1,294
5325Utility
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3.52194998e-03]]
Case IH
962L1700
Combine
2,007
1,700
962L1700
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Hitachi
332D1550
Harrow
2,013
1,550
332D1550
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New Holland
Classic T161
Hydraulic Excavator
2,013
1,999
ClassicT161
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Case IH
L3301-HST
Combine
2,018
1,494
L3301-HST
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AMCO
SB541C
Loader Backhoe
2,011
1,383
SB541C
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Eco Log
DC150 XLT
4WD Tractor
2,002
1,386
DC150XLT
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Caterpillar
16101597
Wheel Dozer
2,007
1,597
16101597
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Komatsu
Magnum 275
Shovel
2,003
1,734
Magnum275
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Caterpillar
DHS745
4WD Tractor
2,003
1,913
DHS745
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Champion
LT85A1084
Multi Terrain Loader
2,016
1,084
LT85A1084
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Caterpillar
7730 152 PTO hp
Vibratory Compactor
2,015
1,087
7730152PTOhp
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Komatsu
K9-4 Kohler
Crawler Tractor
2,005
1,655
K9-4Kohler
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New Holland
450E/6415
Hydraulic Excavator
2,006
1,165
450E6415
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Liebherr
L3830HST
4WD Tractor
2,005
1,899
L3830HST
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JCB
Mistral 50
Hydraulic Excavator
2,000
1,695
Mistral50
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