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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 13 new columns ({'BirthDate', 'Gender', 'TotalChildren', 'MaritalStatus', 'EducationLevel', 'AnnualIncome', 'HomeOwner', 'EmailAddress', 'LastName', 'Occupation', 'FirstName', 'CustomerKey', 'Prefix'}) and 1 missing columns ({'Date'}).

This happened while the csv dataset builder was generating data using

hf://datasets/darren0301/schema-action/datasets/adventurework/customers.csv (at revision 32119e4a3e0ba2a414490fe898cd8ae527db1d5e)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              CustomerKey: int64
              Prefix: string
              FirstName: string
              LastName: string
              BirthDate: string
              MaritalStatus: string
              Gender: string
              EmailAddress: string
              AnnualIncome: string
              TotalChildren: int64
              EducationLevel: string
              Occupation: string
              HomeOwner: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1821
              to
              {'Date': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 13 new columns ({'BirthDate', 'Gender', 'TotalChildren', 'MaritalStatus', 'EducationLevel', 'AnnualIncome', 'HomeOwner', 'EmailAddress', 'LastName', 'Occupation', 'FirstName', 'CustomerKey', 'Prefix'}) and 1 missing columns ({'Date'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/darren0301/schema-action/datasets/adventurework/customers.csv (at revision 32119e4a3e0ba2a414490fe898cd8ae527db1d5e)
              
              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)

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Schema-Action Querying Dataset


License: apache-2.0 Language: English
Tags: text-to-sql, table-qa, multi-domain, structured-data, small-models


Schema-Action πŸ”

Query Excel/CSV files with natural language using only 3B models

🎯 What is this?

First multi-table Text-to-Action system powered by small language models (3B parameters). Query structured data with 90%+ accuracyβ€”no GPT-4, no database setup needed!

πŸš€ Try It Now

Select a dataset and ask questions in natural language:

Dataset 1: Adventure Works (E-commerce)

  • "How many customers are homeowners?"
  • "Who are the top 5 customers by annual income?"
  • "Is there an order from customer 11000 for product 344?"

Dataset 2: Travel Booking

  • "What is the age of Wilma Mcinnis?"
  • "Which 10 flights have the shortest duration?"
  • "How many flights were 'economic' class?"

πŸ’‘ Key Features

  • βœ… 3B model (Llama 3.2 3B) achieves 90%+ accuracy
  • βœ… Auto-JOIN across multiple tables
  • βœ… Domain-agnostic: Works on any tabular data
  • βœ… Fast: 3-5s per query

πŸ”— Links

πŸ› οΈ How to Use Your Own Data

  1. Clone the GitHub repo
  2. Create metadata.json and join_config.json for your CSV files
  3. Run locally:
python schema_action.py \
  --data_directory ./your_data \
  --metadata_path ./metadata.json \
  --join_config_path ./join_config.json

Citation

If you use this dataset in your work, please cite the original sources. You can also cite this dataset compilation as:

@dataset{Darrencxl_Action_Scema_2025,
  author = {Darren Chai Xin Lun},
  title = {Action-Scema},
  year = {2025},
  publisher = {Hugging Face},
  version = {1.0.0},
  url = {https://huggingface.co/datasets/darren0301/schema-action}
}
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