Dataset Preview
Full Screen Viewer
Full Screen
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
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 583, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field.
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 1529, 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 1154, 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 2038, 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.
_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|
[
{
"filename": "data-00000-of-00001.arrow"
}
] | 786d8d16834ebb0e | [
"feat_Acceleration",
"feat_Alloy Wheel Size",
"feat_Cargo Volume",
"feat_City",
"feat_Color",
"feat_Displacement",
"feat_Doors",
"feat_Drive Type",
"feat_Front Brake Type",
"feat_Front Tread",
"feat_Fuel Suppy System",
"feat_Gear Box",
"feat_Kerb Weight",
"feat_Max Power At",
"feat_Max Power Delivered",
"feat_Max Torque At",
"feat_Max Torque Delivered",
"feat_No of Cylinder",
"feat_Rear Brake Type",
"feat_Seats",
"feat_Steering Type",
"feat_Super Charger",
"feat_Top Speed",
"feat_Turbo Charger",
"feat_Turning Radius",
"feat_Tyre Type",
"feat_Valve Configuration",
"feat_Valves per Cylinder",
"feat_Wheel Base",
"feat_Width",
"feat_body",
"feat_comfort_features",
"feat_exterior_features",
"feat_fuel",
"feat_interior_features",
"feat_ip",
"feat_km_driven",
"feat_mileage_new",
"feat_model",
"feat_myear",
"feat_oem",
"feat_owner_type",
"feat_safety_features",
"feat_state",
"feat_top_features",
"feat_transmission",
"feat_utype",
"feat_variant",
"id",
"target"
] | {} | null | false | null |
AutoTrain Dataset for project: priceless-cars
Dataset Description
This dataset has been automatically processed by AutoTrain for project priceless-cars.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"id": "3d17c610-505d-4104-b3b5-e2b0cb3693a1",
"feat_myear": 2013,
"feat_body": "suv",
"feat_transmission": "manual",
"feat_fuel": "diesel",
"feat_km_driven": 80000,
"feat_ip": 0,
"feat_oem": "nissan",
"feat_model": "nissan terrano",
"feat_variant": "xv premium 110 ps",
"feat_City": "patan",
"target": 360000.0,
"feat_utype": "individual",
"feat_top_features": "['power steering', 'power windows front', 'air conditioner', 'heater', 'adjustable head lights', 'fog lights front', 'anti lock braking system', 'brake assist', 'cd player']",
"feat_comfort_features": "['power steering', 'power windows front', 'power windows rear', 'air quality control', 'remote trunk opener', 'remote fuel lid opener', 'low fuel warning light', 'accessory power outlet', 'trunk light', 'vanity mirror', 'rear reading lamp', 'rear seat headrest', 'rear seat centre arm rest', 'height adjustable front seat belts', 'cup holders front', 'cup holders rear', 'seat lumbar support', 'rear acvents']",
"feat_interior_features": "['air conditioner', 'heater', 'adjustable steering', 'digital odometer', 'tachometer', 'electronic multi tripmeter', 'leather seats', 'fabric upholstery', 'leather steering wheel', 'glove compartment', 'digital clock', 'cigarette lighter', 'height adjustable driver seat']",
"feat_exterior_features": "['adjustable head lights', 'fog lights front', 'power adjustable exterior rear view mirror', 'rear window wiper', 'rear window washer', 'rear window defogger', 'alloy wheels', 'power antenna', 'tinted glass', 'chrome grille', 'smoke headlamps', 'roof rail']",
"feat_safety_features": "['anti lock braking system', 'brake assist', 'centeral locking', 'power door locks', 'child safety locks', 'driver air bag', 'passenger air bag', 'day night rear view mirror', 'passenger side rear view mirror', 'halogen headlamps', 'rear seat belts', 'seat belt warning', 'door ajar warning', 'side impact beams', 'front impact beams', 'adjustable seats', 'keyless entry', 'centrally mounted fuel tank', 'engine immobilizer', 'crash sensor', 'ebd', 'anti theft device']",
"feat_Color": "gray",
"feat_Displacement": 1461.0,
"feat_No of Cylinder": 4.0,
"feat_Valves per Cylinder": 4.0,
"feat_Valve Configuration": "dohc",
"feat_Turbo Charger": true,
"feat_Super Charger": true,
"feat_Width": 2000.0,
"feat_Wheel Base": 2673.0,
"feat_Front Tread": 1560.0,
"feat_Kerb Weight": null,
"feat_Gear Box": "6 speed",
"feat_Drive Type": "fwd",
"feat_Seats": 5.0,
"feat_Steering Type": "power",
"feat_Turning Radius": 5.2,
"feat_Front Brake Type": "disc",
"feat_Rear Brake Type": "drum",
"feat_Top Speed": 168.0,
"feat_Acceleration": 13.0,
"feat_Tyre Type": "tubeless",
"feat_Doors": 4.0,
"feat_Cargo Volume": 475.0,
"feat_state": "gujarat",
"feat_mileage_new": 19.01,
"feat_owner_type": "fourth",
"feat_Fuel Suppy System": "Common Rail Injection",
"feat_Alloy Wheel Size": 16.0,
"feat_Max Power Delivered": 108.5,
"feat_Max Power At": 3900.0,
"feat_Max Torque Delivered": 248.0,
"feat_Max Torque At": 2250.0
},
{
"id": "19e00bea-185c-4e78-9dd0-c11ba8369365",
"feat_myear": 2014,
"feat_body": "sedan",
"feat_transmission": "manual",
"feat_fuel": "diesel",
"feat_km_driven": 95648,
"feat_ip": 0,
"feat_oem": "hyundai",
"feat_model": "hyundai elantra",
"feat_variant": "crdi base",
"feat_City": "gurgaon",
"target": 350000.0,
"feat_utype": "dealer",
"feat_top_features": "['power steering', 'power windows front', 'air conditioner', 'heater', 'adjustable head lights', 'power adjustable exterior rear view mirror', 'anti lock braking system', 'centeral locking', 'cd player']",
"feat_comfort_features": "['power steering', 'power windows front', 'power windows rear', 'air quality control', 'remote trunk opener', 'remote fuel lid opener', 'low fuel warning light', 'accessory power outlet', 'trunk light', 'rear seat headrest', 'rear seat centre arm rest', 'cup holders front', 'cup holders rear', 'multifunction steering wheel', 'rear acvents']",
"feat_interior_features": "['air conditioner', 'heater', 'adjustable steering', 'digital odometer', 'tachometer', 'electronic multi tripmeter', 'fabric upholstery', 'leather steering wheel', 'glove compartment', 'digital clock']",
"feat_exterior_features": "['adjustable head lights', 'power adjustable exterior rear view mirror', 'rear window defogger', 'alloy wheels', 'integrated antenna', 'outside rear view mirror turn indicators']",
"feat_safety_features": "['anti lock braking system', 'centeral locking', 'power door locks', 'child safety locks', 'anti theft alarm', 'driver air bag', 'passenger air bag', 'passenger side rear view mirror', 'halogen headlamps', 'rear seat belts', 'seat belt warning', 'door ajar warning', 'side impact beams', 'front impact beams', 'adjustable seats', 'keyless entry', 'centrally mounted fuel tank', 'engine immobilizer', 'crash sensor', 'ebd', 'follow me home headlamps', 'anti theft device']",
"feat_Color": "coral white",
"feat_Displacement": 1582.0,
"feat_No of Cylinder": 4.0,
"feat_Valves per Cylinder": 4.0,
"feat_Valve Configuration": "dohc",
"feat_Turbo Charger": true,
"feat_Super Charger": true,
"feat_Width": 1775.0,
"feat_Wheel Base": 2700.0,
"feat_Front Tread": 1569.0,
"feat_Kerb Weight": 1329.0,
"feat_Gear Box": "6 speed",
"feat_Drive Type": "fwd",
"feat_Seats": 5.0,
"feat_Steering Type": "power",
"feat_Turning Radius": 5.3,
"feat_Front Brake Type": "disc",
"feat_Rear Brake Type": "disc",
"feat_Top Speed": 191.0,
"feat_Acceleration": 10.2,
"feat_Tyre Type": "tubeless radial",
"feat_Doors": 4.0,
"feat_Cargo Volume": 420.0,
"feat_state": "haryana",
"feat_mileage_new": 22.7,
"feat_owner_type": "first",
"feat_Fuel Suppy System": "Common Rail Injection",
"feat_Alloy Wheel Size": 16.0,
"feat_Max Power Delivered": 126.24,
"feat_Max Power At": 4000.0,
"feat_Max Torque Delivered": 259.87,
"feat_Max Torque At": 2325.0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"id": "Value(dtype='string', id=None)",
"feat_myear": "Value(dtype='int64', id=None)",
"feat_body": "Value(dtype='string', id=None)",
"feat_transmission": "Value(dtype='string', id=None)",
"feat_fuel": "Value(dtype='string', id=None)",
"feat_km_driven": "Value(dtype='int64', id=None)",
"feat_ip": "Value(dtype='int64', id=None)",
"feat_oem": "Value(dtype='string', id=None)",
"feat_model": "Value(dtype='string', id=None)",
"feat_variant": "Value(dtype='string', id=None)",
"feat_City": "Value(dtype='string', id=None)",
"target": "Value(dtype='float32', id=None)",
"feat_utype": "Value(dtype='string', id=None)",
"feat_top_features": "Value(dtype='string', id=None)",
"feat_comfort_features": "Value(dtype='string', id=None)",
"feat_interior_features": "Value(dtype='string', id=None)",
"feat_exterior_features": "Value(dtype='string', id=None)",
"feat_safety_features": "Value(dtype='string', id=None)",
"feat_Color": "Value(dtype='string', id=None)",
"feat_Displacement": "Value(dtype='float64', id=None)",
"feat_No of Cylinder": "Value(dtype='float64', id=None)",
"feat_Valves per Cylinder": "Value(dtype='float64', id=None)",
"feat_Valve Configuration": "Value(dtype='string', id=None)",
"feat_Turbo Charger": "Value(dtype='bool', id=None)",
"feat_Super Charger": "Value(dtype='bool', id=None)",
"feat_Width": "Value(dtype='float64', id=None)",
"feat_Wheel Base": "Value(dtype='float64', id=None)",
"feat_Front Tread": "Value(dtype='float64', id=None)",
"feat_Kerb Weight": "Value(dtype='float64', id=None)",
"feat_Gear Box": "Value(dtype='string', id=None)",
"feat_Drive Type": "Value(dtype='string', id=None)",
"feat_Seats": "Value(dtype='float64', id=None)",
"feat_Steering Type": "Value(dtype='string', id=None)",
"feat_Turning Radius": "Value(dtype='float64', id=None)",
"feat_Front Brake Type": "Value(dtype='string', id=None)",
"feat_Rear Brake Type": "Value(dtype='string', id=None)",
"feat_Top Speed": "Value(dtype='float64', id=None)",
"feat_Acceleration": "Value(dtype='float64', id=None)",
"feat_Tyre Type": "Value(dtype='string', id=None)",
"feat_Doors": "Value(dtype='float64', id=None)",
"feat_Cargo Volume": "Value(dtype='float64', id=None)",
"feat_state": "Value(dtype='string', id=None)",
"feat_mileage_new": "Value(dtype='float64', id=None)",
"feat_owner_type": "Value(dtype='string', id=None)",
"feat_Fuel Suppy System": "Value(dtype='string', id=None)",
"feat_Alloy Wheel Size": "Value(dtype='float64', id=None)",
"feat_Max Power Delivered": "Value(dtype='float64', id=None)",
"feat_Max Power At": "Value(dtype='float64', id=None)",
"feat_Max Torque Delivered": "Value(dtype='float64', id=None)",
"feat_Max Torque At": "Value(dtype='float64', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 2370 |
| valid | 630 |
- Downloads last month
- 10