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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 new columns ({'Columns'}) and 1 missing columns ({'columns'}).
This happened while the json dataset builder was generating data using
hf://datasets/rAMNARAY/C_G_1/customer_interaction_fact.json (at revision dbc126db8b96a2f855fac3af901f4654f198fe47)
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
name: string
description: string
primary_key_column: list<item: string>
child 0, item: string
clustering_column: list<item: string>
child 0, item: string
partitioning_column: list<item: string>
child 0, item: string
type: string
Columns: list<item: struct<name: string, description: string, data_type: string, format: string, is_pii_column: string, enum: list<item: string>>>
child 0, item: struct<name: string, description: string, data_type: string, format: string, is_pii_column: string, enum: list<item: string>>
child 0, name: string
child 1, description: string
child 2, data_type: string
child 3, format: string
child 4, is_pii_column: string
child 5, enum: list<item: string>
child 0, item: string
to
{'name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'primary_key_column': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'clustering_column': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'partitioning_column': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'type': Value(dtype='string', id=None), 'columns': [{'name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'data_type': Value(dtype='string', id=None), 'format': Value(dtype='string', id=None), 'is_pii_column': Value(dtype='string', id=None), 'enum': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'dimension_group': 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 1577, 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 1191, 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 new columns ({'Columns'}) and 1 missing columns ({'columns'}).
This happened while the json dataset builder was generating data using
hf://datasets/rAMNARAY/C_G_1/customer_interaction_fact.json (at revision dbc126db8b96a2f855fac3af901f4654f198fe47)
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.
name string | description string | primary_key_column sequence | clustering_column sequence | partitioning_column sequence | type string | columns list |
|---|---|---|---|---|---|---|
adjustment_details | Tracks adjustments made to transactions | [
"adjustment_id",
"transaction_id"
] | [
"adjustment_date",
"adjustment_type"
] | [
"adjustment_date"
] | Type 2 Fact Table | [
{
"name": "adjustment_id",
"description": "Unique identifier for each adjustment",
"data_type": "STRING",
"format": "",
"is_pii_column": "N",
"enum": [],
"dimension_group": ""
},
{
"name": "transaction_id",
"description": "Identifier of the transaction adjusted",
"data_ty... |
browsing_history_0 | Tracks user browsing sessions and activities | [
"session_id",
"user_id"
] | [
"session_start_time",
"user_id"
] | [
"session_date"
] | Type 1 Fact Table | [
{
"name": "session_id",
"description": "Unique identifier for the session",
"data_type": "STRING",
"format": "",
"is_pii_column": "N",
"enum": [],
"dimension_group": ""
},
{
"name": "user_id",
"description": "Unique identifier for the user",
"data_type": "STRING",
"fo... |
browsing_history_1 | Tracks user browsing behavior and preferences | [
"user_id",
"session_id"
] | [
"session_start_time",
"page_viewed"
] | [
"session_date"
] | Type 1 Fact Table | [
{
"name": "user_id",
"description": "Unique identifier for a user",
"data_type": "STRING",
"format": "",
"is_pii_column": "Y",
"enum": [],
"dimension_group": ""
},
{
"name": "session_id",
"description": "Unique identifier for a session",
"data_type": "STRING",
"format... |
customer_activity_0 | Tracks customer interactions and technology usage | [
"customer_id",
"session_id"
] | [
"device_type",
"session_start_time"
] | [
"session_date"
] | Type 1 Fact Table | [
{
"name": "customer_id",
"description": "Unique identifier for a customer",
"data_type": "STRING",
"format": "",
"is_pii_column": "Y",
"enum": [],
"dimension_group": "customer_dimension_group"
},
{
"name": "session_id",
"description": "Unique identifier for a session",
"d... |
customer_activity_1 | Tracks customer interactions and preferences | [
"customer_id",
"session_id"
] | [
"last_activity_date",
"customer_region"
] | [
"last_activity_date"
] | Type 1 Fact Table | [
{
"name": "customer_id",
"description": "Unique identifier for a customer",
"data_type": "STRING",
"format": "",
"is_pii_column": "Y",
"enum": [],
"dimension_group": ""
},
{
"name": "session_id",
"description": "Unique identifier for a session",
"data_type": "STRING",
... |
customer_interaction_fact | Tracks all customer interactions with products | [
"interaction_id"
] | [
"customer_id",
"product_id"
] | [
"interaction_date"
] | Fact Table | null |
customer_search_0 | Tracks customer search behavior and technology use | [
"customer_id",
"search_id"
] | [
"search_date",
"search_time"
] | [
"search_date"
] | Type 1 Fact Table | [
{
"name": "customer_id",
"description": "Unique identifier for a customer",
"data_type": "STRING",
"format": "",
"is_pii_column": "Y",
"enum": [],
"dimension_group": "customer_dimension_group"
},
{
"name": "search_id",
"description": "Unique identifier for a search event",
... |
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