Datasets:

Marnus123
/

autotrain-data-groceries_tabular

Tasks:

Table Question Answering

Languages:

English

Size:

10K<n<100K

DOI:

Dataset card Viewer Files Files and versions

Dataset Preview

Full Screen Viewer

Full Screen

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

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 16 new columns ({'Size', 'Zone 3', 'Group', 'Zone 5', 'Zone 1', 'Merch Cat. Code', 'Description', 'BSP', 'Zone 2', 'Soc Date', 'Zone 4', 'Group Item', 'EAN', 'Merch Cat. Desc', 'Old National #', 'Zone 6'}) and 2 missing columns ({'Entity Name', 'Value'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Marnus123/autotrain-data-groceries_tabular/raw/grocerieschatcsv.csv (at revision 6557adac08eaaa48e420c89c8ffb4ed074f8f826)

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
              EAN: double
              Description: string
              Size: string
              BSP: double
              Soc Date: string
              Zone 1: double
              Zone 2: double
              Zone 3: double
              Zone 4: double
              Zone 5: double
              Zone 6: double
              Old National #: int64
              Group: string
              Group Item: string
              Merch Cat. Code: string
              Merch Cat. Desc: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2116
              to
              {'Entity Name': Value(dtype='string', id=None), 'Value': 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 16 new columns ({'Size', 'Zone 3', 'Group', 'Zone 5', 'Zone 1', 'Merch Cat. Code', 'Description', 'BSP', 'Zone 2', 'Soc Date', 'Zone 4', 'Group Item', 'EAN', 'Merch Cat. Desc', 'Old National #', 'Zone 6'}) and 2 missing columns ({'Entity Name', 'Value'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Marnus123/autotrain-data-groceries_tabular/raw/grocerieschatcsv.csv (at revision 6557adac08eaaa48e420c89c8ffb4ed074f8f826)
              
              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.

Entity Name string	Value string
C/VALUE BISC ASSORTED	C/VALUE BISC ASSORTED
BISC CHOC CHIP	BISC CHOC CHIP
BISC ASSORTED	BISC ASSORTED
BISC CRUNCHIE	BISC CRUNCHIE
BISC GINGER	BISC GINGER
BISC SHORT	BISC SHORT
BISC T/T B/SCOTCH	BISC T/T B/SCOTCH
BISC T/T C/CHIP	BISC T/T C/CHIP
BISC T/T COMBO	BISC T/T COMBO
BISC T/T GINGER	BISC T/T GINGER
BISC T/T SHORTBRD	BISC T/T SHORTBRD
BISCUIT COMBO	BISCUIT COMBO
BISCUITS ASSORTED	BISCUITS ASSORTED
BUNS DESSERT TOPP	BUNS DESSERT TOPP
CAKE B/FOREST BOX	CAKE B/FOREST BOX
CAKE BLACK FOREST	CAKE BLACK FOREST
CAKE CARAMEL BOX	CAKE CARAMEL BOX
CAKE CHOC B/C BOX	CAKE CHOC B/C BOX
CAKE ICED BANANA	CAKE ICED BANANA
CAKE ICED BLUEBERRY	CAKE ICED BLUEBERRY
CAKE ICED CHOC	CAKE ICED CHOC
CAKE ICED VANILLA	CAKE ICED VANILLA
CAKE TRAY I/TRIO	CAKE TRAY I/TRIO
CAKES GINGER	CAKES GINGER
CHELSEA BUN	CHELSEA BUN
LOAF RAISIN	LOAF RAISIN
LOAF VANIL I/CHOC	LOAF VANIL I/CHOC
LOAVES MINI	LOAVES MINI
LUNCH BUNS	LUNCH BUNS
QUEENIES	QUEENIES
ROCK BUN	ROCK BUN
SCONES	SCONES
SNOWBALLS	SNOWBALLS
COUNTRY VALUE CUPCAKES	COUNTRY VALUE CUPCAKES
F/L CAKE CV BLACK FOREST	F/L CAKE CV BLACK FOREST
F/L CAKE CV CHOCOLATE	F/L CAKE CV CHOCOLATE
F/L CAKE CV VANILLA	F/L CAKE CV VANILLA
F/L VALUE PACK 2 1'S	F/L VALUE PACK 2 1'S
F/L BREAD GARLIC BUTTER	F/L BREAD GARLIC BUTTER
F/L BREAD MINI CHIL&GARL	F/L BREAD MINI CHIL&GARL
F/L BREAD MINI CHSE&ONION	F/L BREAD MINI CHSE&ONION
F/L BREAD MINI COMBO 1	F/L BREAD MINI COMBO 1
F/L BREAD MINI GARLIC	F/L BREAD MINI GARLIC
F/L CHE/ONION BREAD	F/L CHE/ONION BREAD
CHILLI GARLIC BREAD	CHILLI GARLIC BREAD
CIABATTA CHILLI/CHSE	CIABATTA CHILLI/CHSE
CIABATTA CHSE&ONION	CIABATTA CHSE&ONION
CIABATTA F/M COMBO1	CIABATTA F/M COMBO1
CIABATTA GARLIC ROLLS	CIABATTA GARLIC ROLLS
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null
null	null

End of preview.

Dataset Card for Dataset Name

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]

Downloads last month: 34

Point of Contact: