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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)

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.

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
[[-1.98329911e-02 3.39664072e-02 -1.00789489e-02 -2.79874969e-02 -1.66743770e-02 2.10811198e-03 1.68475192e-02 9.98018533e-02 -1.74366646e-02 -2.87020393e-02 4.09014821e-02 -2.28128787e-02 6.45184591e-02 -2.20789891e-02 -3.68809104e-02 7.03555197e-02 1.33820577e-02 -5.17421663e-02 -3.73219587e-02 -3.780...
John Deere
LS1401203
4WD Tractor
2,007
1,203
LS1401203
[[-1.07378140e-01 -1.21165002e-02 -1.32216746e-02 -4.59153615e-02 6.67949095e-02 -4.89671575e-03 2.52969377e-02 6.83130622e-02 2.60315817e-02 -3.02180462e-02 7.15901703e-02 -1.90736633e-02 1.43163456e-02 -5.76997502e-03 -1.22228689e-01 5.24622649e-02 -1.39994714e-02 -1.23405933e-01 2.58012558e-03 1.570...
Volvo
R40441789
Wheel Loader
2,017
1,789
R40441789
[[-1.11558892e-01 -1.16389170e-02 -9.01022553e-02 4.33701882e-03 1.15484530e-02 1.95438918e-02 2.51996592e-02 4.41421680e-02 1.42268939e-02 -3.28038782e-02 -3.28479125e-03 -2.69329939e-02 -9.94364824e-03 1.25014381e-02 -8.98027513e-03 2.99864672e-02 -9.08783730e-03 -5.87523766e-02 -7.23870546e-02 -3.748...
Volvo
Lexion 520
4WD Tractor
2,012
1,415
Lexion520
[[-1.18774667e-01 -7.21589401e-02 -3.48219573e-02 -1.19183492e-02 -5.67231923e-02 -3.36653888e-02 1.12709455e-01 5.02443425e-02 -4.19817539e-03 2.33862945e-03 1.47381034e-02 -5.83672523e-02 -7.13371206e-03 7.96342362e-03 -8.18101764e-02 4.46592905e-02 -1.46919340e-02 -1.93504579e-02 -1.01780914e-01 3.096...
Caterpillar
9570RT
2WD Tractor
2,005
1,531
9570RT
[[-1.56322904e-02 4.32611816e-02 -9.24355164e-02 3.21167372e-02 -1.12699717e-02 -3.73820774e-02 7.47343153e-03 7.52143338e-02 -5.32219969e-02 -6.17665015e-02 3.46371275e-03 -2.49685496e-02 -6.29248172e-02 4.86507192e-02 -5.66272065e-02 -2.37248577e-02 4.82365303e-02 -9.11456048e-02 1.64225686e-03 -1.013...
John Deere
H255S1714
Vibratory Smooth Drum Roller
2,017
1,714
H255S1714
[[-6.40216172e-02 6.32189289e-02 -4.81848754e-02 -1.47364484e-02 6.80940971e-02 -7.61751365e-03 6.91309869e-02 -2.99114268e-02 -2.38763522e-02 -5.11308014e-02 6.29722923e-02 6.67825108e-03 -1.59414466e-02 -3.94031592e-02 -1.29063696e-01 6.92357030e-03 -2.49982178e-02 -8.85414407e-02 2.94305384e-02 -8.344...
Wil-Rich
Optimer 4001
Vibratory Smooth Drum Roller
2,013
1,296
Optimer4001
[[-5.15006855e-02 -4.89800330e-03 -7.08175525e-02 -3.95235941e-02 -3.33626606e-02 -7.35792071e-02 7.07830414e-02 6.32638186e-02 -2.94304993e-02 -1.79642569e-02 7.53118843e-02 -1.37200849e-02 -7.64559489e-03 5.47955632e-02 -4.54935357e-02 1.19654723e-01 -1.20765890e-03 -9.58995521e-02 2.67973673e-02 -1.778...
John Deere
E37C1403
Hydraulic Excavator
2,013
1,403
E37C1403
[[-8.19912478e-02 3.49699147e-02 -8.20995588e-03 5.03311586e-03 -8.46262206e-04 3.32476534e-02 6.47861734e-02 6.48693815e-02 4.40032184e-02 -3.56422253e-02 6.76731989e-02 -1.07040271e-01 -1.29351607e-02 -1.07363835e-02 -6.39593601e-02 3.24161425e-02 7.27479870e-04 -1.14467837e-01 -2.93097924e-02 -4.360...
Komatsu
STEIGER 420 WHEELED
Hydraulic Excavator
2,004
1,476
STEIGER420WHEELED
[[-3.07084993e-02 9.67899635e-02 -6.25411272e-02 3.42021994e-02 -1.14889607e-01 -2.01454032e-02 3.02150920e-02 2.86319535e-02 -4.99431826e-02 -4.55954522e-02 7.14337379e-02 1.43927010e-02 3.63272019e-02 -5.61527461e-02 -7.47082457e-02 3.83832417e-02 6.34133909e-03 1.18000554e-02 -5.85515499e-02 3.684...
Caterpillar
PC600-6
Feller Buncher
2,005
1,899
PC600-6
[[-1.83914602e-02 2.45997887e-02 -5.35938069e-02 3.50948935e-03 8.44512973e-03 6.36598244e-02 -4.13610972e-02 1.67497788e-02 -5.36999665e-02 2.74801105e-02 5.53499758e-02 1.92762427e-02 -8.77097845e-02 -7.21950410e-03 -4.11424367e-03 8.24837685e-02 -3.69899981e-02 -2.39919741e-02 -5.21745794e-02 1.083...
Claas
2261598
Wheel Loader
2,005
1,598
2261598
[[-1.13612540e-01 -4.63466644e-02 -2.70825066e-02 3.27430591e-02 -8.73745307e-02 5.58181945e-03 -1.61291920e-02 2.77609527e-02 5.32496683e-02 -9.65090618e-02 7.73773482e-03 -6.80808164e-03 -7.73655856e-03 -8.52454230e-02 -7.00378045e-02 -8.29214789e-03 -3.59962545e-02 -1.44582428e-02 -3.27138975e-02 -2.384...
Kubota
AP1055E
Crawler Tractor
2,000
1,641
AP1055E
[[-8.55578184e-02 1.28679369e-02 -4.97799134e-03 -2.42972467e-02 -8.09693262e-02 3.36374380e-02 8.63894001e-02 -7.88863562e-03 2.14129258e-02 2.98870541e-02 5.43608032e-02 5.09304069e-02 -4.80274204e-03 3.39028388e-02 -5.61864339e-02 4.24365327e-02 3.91006581e-02 -8.01566094e-02 -3.53794880e-02 -3.717...
Case IH
21801534
Cultivator
2,011
1,534
21801534
[[ 1.16582923e-02 -7.79128745e-02 -1.14019983e-01 -3.60732526e-02 -1.61833107e-01 1.21968472e-02 -2.28691231e-02 1.82399563e-02 2.30233073e-02 -8.98429677e-02 -4.50316817e-02 4.09631990e-02 3.90673317e-02 -2.25458071e-02 -7.05592558e-02 -1.37654156e-03 -8.69490393e-03 -5.11189513e-02 -3.07728276e-02 -1.309...
Komatsu
D53P-16
Wheel Loader
2,008
1,780
D53P-16
[[-1.03694700e-01 5.03480621e-02 7.07983375e-02 -1.11987084e-01 1.58507586e-03 -5.29474914e-02 7.25759119e-02 7.31530320e-03 -9.86098405e-03 7.47133687e-04 -1.02317566e-02 -5.66770835e-03 -2.50780582e-02 4.37979074e-03 -7.70089030e-02 2.00882740e-02 -1.90612581e-03 -5.80750890e-02 -1.80411048e-03 7.778...
Caterpillar
5325 Utility
4WD Tractor
2,011
1,294
5325Utility
[[-2.85083544e-03 3.74679528e-02 -5.23164682e-02 3.04476060e-02 -1.02159500e-01 9.52230301e-03 4.59742323e-02 1.80159230e-02 1.13936337e-02 -5.98176084e-02 -2.75909696e-02 -4.81201969e-02 -1.99960116e-02 -7.56857842e-02 -1.19050883e-01 -7.91099891e-02 -5.02281934e-02 -7.40806609e-02 -9.74614844e-02 4.997...
Case IH
962L1700
Combine
2,007
1,700
962L1700
[[-7.85786137e-02 1.24886604e-02 -8.22754055e-02 -2.06230506e-02 -2.23462544e-02 -4.03594747e-02 3.68308611e-02 6.38652146e-02 6.29747426e-03 -1.12433352e-01 -4.22232337e-02 -2.23721471e-02 -3.97338569e-02 4.25963569e-03 -7.14456290e-02 -3.00118001e-03 4.12300602e-02 -6.44903332e-02 -4.95675802e-02 -3.072...
Hitachi
332D1550
Harrow
2,013
1,550
332D1550
[[-1.40717611e-01 -5.08708954e-02 -2.98800003e-02 -6.88859299e-02 -8.22288767e-02 -7.16706961e-02 6.16169535e-02 8.87149072e-04 5.13779409e-02 -5.76366931e-02 1.13557167e-02 -7.98127502e-02 2.70975437e-02 -5.54602258e-02 -6.09871112e-02 2.71447562e-02 1.46092335e-02 1.95358545e-04 -3.29992697e-02 1.482...
New Holland
Classic T161
Hydraulic Excavator
2,013
1,999
ClassicT161
[[-3.68660018e-02 7.69912750e-02 5.78647363e-04 -5.38724661e-02 5.10961302e-02 -4.48117070e-02 3.73099186e-02 6.67403266e-02 -6.77895173e-02 -4.87723053e-02 4.17389683e-02 -5.21533191e-03 -4.63954099e-02 4.40816060e-02 -5.44268414e-02 4.72900495e-02 1.18561108e-02 -1.09335035e-01 2.65057553e-02 1.940...
Case IH
L3301-HST
Combine
2,018
1,494
L3301-HST
[[-6.16363399e-02 -1.82075668e-02 2.60987245e-02 -4.25019376e-02 7.67070949e-02 1.52467666e-02 -1.83469374e-02 6.66859001e-02 -4.82212715e-02 -5.20253405e-02 8.08268934e-02 -2.99778897e-02 -3.70237082e-02 -7.37850666e-02 -7.94043206e-03 5.22343367e-02 2.68456433e-03 -5.67035265e-02 2.50834376e-02 -5.785...
AMCO
SB541C
Loader Backhoe
2,011
1,383
SB541C
[[-4.27721143e-02 -1.23028919e-01 -2.62208749e-02 2.16682386e-02 4.67756651e-02 3.89775410e-02 6.61117062e-02 -3.77714797e-03 5.73359020e-02 -5.12270406e-02 -3.06906458e-02 9.05738994e-02 -4.48335931e-02 -4.94209640e-02 -2.34348755e-02 5.44168837e-02 4.76140119e-02 -5.85767627e-02 4.64213490e-02 -2.581...
Eco Log
DC150 XLT
4WD Tractor
2,002
1,386
DC150XLT
[[-7.00492114e-02 8.67314562e-02 -1.00781135e-02 -4.46084440e-02 -9.42835119e-03 -3.73258106e-02 6.97033480e-03 1.98979657e-02 -5.85956983e-02 -4.52046357e-02 8.36938843e-02 -5.34150489e-02 1.49842408e-02 2.88086664e-02 -6.92972466e-02 7.34642446e-02 6.63660020e-02 -4.78638895e-03 -4.64743450e-02 -1.517...
Caterpillar
16101597
Wheel Dozer
2,007
1,597
16101597
[[-1.20206490e-01 -1.13311755e-02 -4.90369238e-02 -2.44418737e-02 -8.10353458e-02 -1.58889685e-02 -2.84236241e-02 4.71190214e-02 1.94543283e-02 -6.84267953e-02 -5.41644357e-03 -9.51745436e-02 -1.65089164e-02 -3.88746746e-02 -1.36854827e-01 -2.47376151e-02 6.97652111e-03 -1.85380373e-02 1.63318205e-03 1.778...
Komatsu
Magnum 275
Shovel
2,003
1,734
Magnum275
[[-1.34512484e-01 -4.86898469e-03 -4.43318933e-02 1.96356121e-02 -3.80466394e-02 3.01948898e-02 -4.75990325e-02 6.89585954e-02 -5.59546007e-03 -3.32982093e-02 1.51365129e-02 -3.04642413e-02 -4.15994860e-02 2.98036356e-02 -5.36128245e-02 -2.69570164e-02 -1.19405240e-02 -4.44572903e-02 7.07668364e-02 -5.926...
Caterpillar
DHS745
4WD Tractor
2,003
1,913
DHS745
[[-1.63501889e-01 2.54725087e-02 5.17153591e-02 -2.22588461e-02 -4.34421264e-02 -9.10816062e-03 1.53223993e-02 6.53495453e-03 -4.69172299e-02 -2.36832928e-02 -1.06609147e-02 3.75579596e-02 -6.49536848e-02 6.94149174e-03 -6.66763186e-02 -2.57819742e-02 6.64976090e-02 -8.02963451e-02 3.90414633e-02 -6.527...
Champion
LT85A1084
Multi Terrain Loader
2,016
1,084
LT85A1084
[[-3.42453606e-02 7.67304152e-02 -1.81766637e-02 -3.41579621e-03 1.38183199e-02 1.53120039e-02 -3.69667867e-03 6.57123402e-02 3.53844627e-03 -8.41694400e-02 5.39639890e-02 3.13176550e-02 -3.86572024e-03 -2.16865521e-02 -4.33376059e-02 3.79900225e-02 -5.65197458e-03 -1.34702846e-01 -1.10383607e-01 -7.125...
Caterpillar
7730 152 PTO hp
Vibratory Compactor
2,015
1,087
7730152PTOhp
[[-8.52813274e-02 1.10343937e-02 -7.85229579e-02 -9.56991222e-04 1.81036396e-03 -3.10804676e-02 3.12414784e-02 2.32118368e-02 -1.95412096e-02 -7.37364367e-02 8.28654564e-04 -1.32645801e-01 -7.94660524e-02 -2.08636234e-03 -9.63709652e-02 1.06723160e-02 1.80209484e-02 -1.16320841e-01 6.90422067e-03 -2.735...
Komatsu
K9-4 Kohler
Crawler Tractor
2,005
1,655
K9-4Kohler
[[-7.81201795e-02 3.27863619e-02 1.29168751e-02 1.27898417e-02 -3.97997350e-02 5.19555025e-02 2.59378869e-02 7.24330097e-02 -6.81295767e-02 -9.02964473e-02 2.24154536e-02 -1.26608908e-01 -1.07330747e-01 2.35341061e-02 -5.64858504e-02 1.98962223e-02 -9.64743303e-05 -1.89839080e-02 -6.92434534e-02 -1.681...
New Holland
450E/6415
Hydraulic Excavator
2,006
1,165
450E6415
[[-7.59069398e-02 8.22168663e-02 2.03710292e-02 -2.72044577e-02 5.01729827e-03 3.04887095e-03 -9.11623519e-03 3.47867496e-02 8.61258805e-03 -3.64581943e-02 -1.96065642e-02 -7.51054436e-02 -2.19901577e-02 -3.22956517e-02 -5.23556843e-02 -9.90913529e-03 -3.37514877e-02 -8.00867602e-02 -8.09628889e-02 -3.531...
Liebherr
L3830HST
4WD Tractor
2,005
1,899
L3830HST
[[-4.28959243e-02 4.06757332e-02 -1.29198413e-02 -2.84703597e-02 1.51901888e-02 -6.97328430e-03 1.60999689e-02 9.14350823e-02 2.48240512e-02 -1.64215323e-02 4.44393530e-02 -3.14850621e-02 -1.80298202e-02 -4.99727204e-02 -7.74901360e-03 4.87211980e-02 2.35587712e-02 -7.62767419e-02 2.61137378e-03 -1.631...
JCB
Mistral 50
Hydraulic Excavator
2,000
1,695
Mistral50
[[-6.22218661e-02 3.78254093e-02 -2.03361977e-02 -5.17193377e-02 4.72734831e-02 -4.47836146e-02 1.06915444e-01 -9.63360257e-03 3.75730894e-03 -5.26949093e-02 2.72542611e-02 -3.32904533e-02 6.70778798e-03 -3.75959203e-02 -2.44786348e-02 3.51632796e-02 -2.47965418e-02 -3.52052711e-02 -1.64085142e-02 -1.622...
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

ModelsNumbers

Generated by Faker, contains data for testing searching model numbers using vectorized model numbers.

Size: 50,000 entries.

Columns:

  • brand
  • model_number
  • model_name
  • year
  • randomdata: between 1000 and 2000. Append to model_number if the faked value is under 6 characters.
  • model_search: remove some characters (see below) from model_number. This used for creating embeddings.
  • model_search_embeddings: only in those datasets with 'embeddings' added to filename.

license: mit

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