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jason1966
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alinaboulsi_digital-marketing-performance-dataset

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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 35 new columns ({'day_of_week', 'campaign_id', 'impressions', 'platform', 'campaign_name', 'objective', 'date', 'funnel_stage', 'post_hour', 'month', 'country', 'is_holiday (text)', 'month_name', 'account_type', 'theme', 'ad_group_id', 'placement', 'revenue', 'market_tier', 'ad_group_name', 'account', 'ad_name', 'clicks', 'is_weekend (text)', 'conversions', 'season', 'frequency', 'ad_id', 'year', 'spend', 'is_weekend', 'is_holiday', 'reach', 'video_views', 'week'}) and 3 missing columns ({'description', 'type', 'column'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset/digital_marketing_dataset_30k.csv (at revision aaa929af5f0b69f6c49ab409f718ff836825c744), [/tmp/hf-datasets-cache/medium/datasets/42862946427398-config-parquet-and-info-jason1966-alinaboulsi_dig-e8dc15f0/hub/datasets--jason1966--alinaboulsi_digital-marketing-performance-dataset/snapshots/aaa929af5f0b69f6c49ab409f718ff836825c744/data_dictionary.csv (origin=hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset@aaa929af5f0b69f6c49ab409f718ff836825c744/data_dictionary.csv), /tmp/hf-datasets-cache/medium/datasets/42862946427398-config-parquet-and-info-jason1966-alinaboulsi_dig-e8dc15f0/hub/datasets--jason1966--alinaboulsi_digital-marketing-performance-dataset/snapshots/aaa929af5f0b69f6c49ab409f718ff836825c744/digital_marketing_dataset_30k.csv (origin=hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset@aaa929af5f0b69f6c49ab409f718ff836825c744/digital_marketing_dataset_30k.csv)]

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              date: string
              year: int64
              month: int64
              month_name: string
              week: int64
              day_of_week: string
              post_hour: int64
              season: string
              is_holiday: int64
              is_holiday (text): string
              is_weekend: int64
              is_weekend (text): string
              country: string
              market_tier: string
              account: string
              account_type: string
              platform: string
              placement: string
              funnel_stage: string
              objective: string
              theme: string
              campaign_id: string
              campaign_name: string
              ad_group_id: string
              ad_group_name: string
              ad_id: string
              ad_name: string
              spend: double
              impressions: int64
              reach: int64
              frequency: double
              clicks: int64
              conversions: int64
              revenue: double
              video_views: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4357
              to
              {'column': Value('string'), 'type': Value('string'), 'description': Value('string')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, 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 35 new columns ({'day_of_week', 'campaign_id', 'impressions', 'platform', 'campaign_name', 'objective', 'date', 'funnel_stage', 'post_hour', 'month', 'country', 'is_holiday (text)', 'month_name', 'account_type', 'theme', 'ad_group_id', 'placement', 'revenue', 'market_tier', 'ad_group_name', 'account', 'ad_name', 'clicks', 'is_weekend (text)', 'conversions', 'season', 'frequency', 'ad_id', 'year', 'spend', 'is_weekend', 'is_holiday', 'reach', 'video_views', 'week'}) and 3 missing columns ({'description', 'type', 'column'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset/digital_marketing_dataset_30k.csv (at revision aaa929af5f0b69f6c49ab409f718ff836825c744), [/tmp/hf-datasets-cache/medium/datasets/42862946427398-config-parquet-and-info-jason1966-alinaboulsi_dig-e8dc15f0/hub/datasets--jason1966--alinaboulsi_digital-marketing-performance-dataset/snapshots/aaa929af5f0b69f6c49ab409f718ff836825c744/data_dictionary.csv (origin=hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset@aaa929af5f0b69f6c49ab409f718ff836825c744/data_dictionary.csv), /tmp/hf-datasets-cache/medium/datasets/42862946427398-config-parquet-and-info-jason1966-alinaboulsi_dig-e8dc15f0/hub/datasets--jason1966--alinaboulsi_digital-marketing-performance-dataset/snapshots/aaa929af5f0b69f6c49ab409f718ff836825c744/digital_marketing_dataset_30k.csv (origin=hf://datasets/jason1966/alinaboulsi_digital-marketing-performance-dataset@aaa929af5f0b69f6c49ab409f718ff836825c744/digital_marketing_dataset_30k.csv)]
              
              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.

column string	type string	description string
date	string (YYYY-MM-DD)	Date of the record (daily granularity). This field is used for analytical grouping, filtering, and time-based analysis.
year	int	Calendar year extracted from date. This field is used for analytical grouping, filtering, and time-based analysis.
month	int	Month number (1–12). This field is used for analytical grouping, filtering, and time-based analysis.
month_name	string	Month name abbreviation (Jan–Dec). This field is used for analytical grouping, filtering, and time-based analysis.
week	int	ISO week number. This field is used for analytical grouping, filtering, and time-based analysis.
day_of_week	string	Day of week (Mon–Sun). This field is used for analytical grouping, filtering, and time-based analysis.
post_hour	int	Hour of day (0–23) when the ad/post is assumed to run/peak. This field is used for analytical grouping, filtering, and time-based analysis.
season	string	Season derived from month (Winter/Spring/Summer/Fall). This field is used for analytical grouping, filtering, and time-based analysis.
is_holiday	int (0/1)	Simple holiday flag (educational approximation). This field is used for analytical grouping, filtering, and time-based analysis.
is_weekend	int (0/1)	Weekend flag (Sat/Sun). This field is used for analytical grouping, filtering, and time-based analysis.
country	string	Market/country label. This field is used for analytical grouping, filtering, and time-based analysis.
market_tier	string	Tier 1/2/3 market categorization. This field is used for analytical grouping, filtering, and time-based analysis.
account	string	Advertiser/account name (synthetic). This field is used for analytical grouping, filtering, and time-based analysis.
account_type	string	Brand or Creator (synthetic classification). This field is used for analytical grouping, filtering, and time-based analysis.
platform	string	Advertising platform (Meta, Google Search, etc.). This field is used for analytical grouping, filtering, and time-based analysis.
placement	string	Placement/surface within the platform. This field is used for analytical grouping, filtering, and time-based analysis.
funnel_stage	string	Awareness / Consideration / Conversion. This field is used for analytical grouping, filtering, and time-based analysis.
objective	string	Campaign objective (Reach, Traffic, Leads, Sales, etc.). This field is used for analytical grouping, filtering, and time-based analysis.
theme	string	Creative/theme label (Promo, Educational, Retargeting, etc.). This field is used for analytical grouping, filtering, and time-based analysis.
campaign_id	string	Synthetic campaign identifier. This field is used for analytical grouping, filtering, and time-based analysis.
campaign_name	string	Synthetic campaign name encoding key attributes. This field is used for analytical grouping, filtering, and time-based analysis.
ad_group_id	string	Synthetic ad group identifier. This field is used for analytical grouping, filtering, and time-based analysis.
ad_group_name	string	Synthetic ad group name. This field is used for analytical grouping, filtering, and time-based analysis.
ad_id	string	Synthetic ad identifier. This field is used for analytical grouping, filtering, and time-based analysis.
ad_name	string	Synthetic ad name. This field is used for analytical grouping, filtering, and time-based analysis.
spend	float	Spend in USD. This field is used for analytical grouping, filtering, and time-based analysis.
impressions	int	Number of impressions. This field is used for analytical grouping, filtering, and time-based analysis.
reach	int	Estimated unique reach (<= impressions). This field is used for analytical grouping, filtering, and time-based analysis.
frequency	float	Impressions per reached user (impressions/reach). This field is used for analytical grouping, filtering, and time-based analysis.
clicks	int	Number of clicks. This field is used for analytical grouping, filtering, and time-based analysis.
conversions	int	Number of conversions (sales/leads depending on objective). This field is used for analytical grouping, filtering, and time-based analysis.
revenue	float	Revenue proxy for Sales/Leads (0 for awareness/traffic). This field is used for analytical grouping, filtering, and time-based analysis.
video_views	int	Video views proxy for video-heavy placements/objectives. This field is used for analytical grouping, filtering, and time-based analysis.
cpm	float	Cost per 1,000 impressions = spend/impressions*1000. This field is used for analytical grouping, filtering, and time-based analysis.
ctr	float	Click-through rate = clicks/impressions. This field is used for analytical grouping, filtering, and time-based analysis.
cpc	float	Cost per click = spend/clicks. This field is used for analytical grouping, filtering, and time-based analysis.
conversion_rate	float	Conversion rate = conversions/clicks. This field is used for analytical grouping, filtering, and time-based analysis.
cpa_cpo	float	Cost per acquisition/order = spend/conversions. This field is used for analytical grouping, filtering, and time-based analysis.
roas	float	Return on ad spend = revenue/spend. This field is used for analytical grouping, filtering, and time-based analysis.
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End of preview.

Digital Marketing Performance Dataset

A Synthetic, Benchmark-Based Dataset for Multi-Platform Marketing Analytics & BI

Dataset Info

Source: Kaggle
Original Size: 1.83 MB
Kaggle Downloads: 145
Files: 3

Files

README_DATASET.md
data_dictionary.csv
digital_marketing_dataset_30k.csv

Mirrored from Kaggle

Downloads last month: 38

Total file size:

8.32 MB