The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'description', 'code'}) and 3 missing columns ({'displayName', 'id', 'agencies'}).
This happened while the json dataset builder was generating data using
hf://datasets/abigailhaddad/dc-procurement-raw/archive/commodities.json (at revision 4e6024ea2143167441f994718e9a81380be0d0fa), ['hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details_older_periods.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/independent_agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/columns.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/summary.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/business_analyst_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/computer_scientist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/enterprise_architect_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/help_desk_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/network_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/program_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/project_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/software_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/systems_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/technical_writer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/web_developer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/solicitations.json'], ['hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details_older_periods.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/independent_agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/columns.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/summary.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/business_analyst_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/computer_scientist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/enterprise_architect_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/help_desk_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/network_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/program_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/project_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/software_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/systems_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/technical_writer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/web_developer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/solicitations.json']
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/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
code: string
description: string
to
{'id': Value('string'), 'displayName': Value('string'), 'agencies': List({'id': Value('string'), 'clusterId': Value('string'), 'cluster': Value('null'), 'displayName': Value('string'), 'abbreviation': Value('string'), 'status': Value('int64'), 'siteLink': 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 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 2 new columns ({'description', 'code'}) and 3 missing columns ({'displayName', 'id', 'agencies'}).
This happened while the json dataset builder was generating data using
hf://datasets/abigailhaddad/dc-procurement-raw/archive/commodities.json (at revision 4e6024ea2143167441f994718e9a81380be0d0fa), ['hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details_older_periods.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/independent_agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/columns.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/summary.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/business_analyst_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/computer_scientist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/enterprise_architect_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/help_desk_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/network_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/program_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/project_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/software_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/systems_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/technical_writer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/web_developer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/solicitations.json'], ['hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contract_details_older_periods.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/independent_agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/columns.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/parquet/summary.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/archive/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/business_analyst_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/computer_scientist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/customer_support_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/cyber_security_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/enterprise_architect_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/help_desk_specialist_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/network_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/program_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/project_manager_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/software_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/systems_engineer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/technical_writer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/calc/raw/web_developer_all.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw/solicitations.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/agencies.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/commodities.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contract_details.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/contracts_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/manifest.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/payments.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/purchase_by_commodity.json', 'hf://datasets/abigailhaddad/dc-procurement-raw@4e6024ea2143167441f994718e9a81380be0d0fa/raw_baseline_20260824/solicitations.json']
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.
id string | displayName string | agencies list |
|---|---|---|
1 | Economic Development and Regulation | [
{
"id": "LQ0",
"clusterId": "1",
"cluster": null,
"displayName": "Alcohol Beverage Regulation Administration (ABRA)",
"abbreviation": "ABRA",
"status": null,
"siteLink": null
},
{
"id": "ID0",
"clusterId": "1",
"cluster": null,
"displayName": "Business Improvement Dis... |
2 | Enterprise and Other Funds | [
{
"id": "BK0",
"clusterId": "2",
"cluster": null,
"displayName": "Ballpark Revenue Fund (BRF)",
"abbreviation": "BRF",
"status": null,
"siteLink": null
},
{
"id": "LA0",
"clusterId": "2",
"cluster": null,
"displayName": "District of Columbia Water and Sewer Authority ... |
3 | Financing and Other | [
{
"id": "EZ0",
"clusterId": "3",
"cluster": null,
"displayName": "Convention Center Transfer - Dedicated Taxes (CCT)",
"abbreviation": "CCT",
"status": null,
"siteLink": null
},
{
"id": "ZB0",
"clusterId": "3",
"cluster": null,
"displayName": "Debt Service - Issuance ... |
4 | Governmental Direction and Support | [
{
"id": "DX0",
"clusterId": "4",
"cluster": null,
"displayName": "Advisory Neighborhood Commissions (OANC)",
"abbreviation": "OANC",
"status": 2,
"siteLink": "https://anc.dc.gov/"
},
{
"id": "CB0",
"clusterId": "4",
"cluster": null,
"displayName": "Attorney General (O... |
5 | Human Support Services | [
{
"id": "RM0",
"clusterId": "5",
"cluster": null,
"displayName": "Behavioral Health (DBH)",
"abbreviation": "DBH",
"status": null,
"siteLink": null
},
{
"id": "RL0",
"clusterId": "5",
"cluster": null,
"displayName": "Child and Family Services Agency (CFSA)",
"abbr... |
6 | Public Education System | [
{
"id": "GW0",
"clusterId": "6",
"cluster": null,
"displayName": "Deputy Mayor for Education (DME)",
"abbreviation": "DME",
"status": null,
"siteLink": null
},
{
"id": "GB0",
"clusterId": "6",
"cluster": null,
"displayName": "District of Columbia Public Charter School... |
7 | Public Safety and Justice | [
{
"id": "FS0",
"clusterId": "7",
"cluster": null,
"displayName": "Administrative Hearings (OAH)",
"abbreviation": "OAH",
"status": null,
"siteLink": null
},
{
"id": "FX0",
"clusterId": "7",
"cluster": null,
"displayName": "Chief Medical Examiner (OCME)",
"abbrevia... |
8 | Public Works | [
{
"id": "KG0",
"clusterId": "8",
"cluster": null,
"displayName": "Energy and Environment (DOEE)",
"abbreviation": "DOEE",
"status": null,
"siteLink": null
},
{
"id": "TC0",
"clusterId": "8",
"cluster": null,
"displayName": "For-Hire Vehicles (DFHV)",
"abbreviation... |
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 |
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 |
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 |
DC procurement: raw source snapshots
Work in progress. These snapshots are being used for an analysis that is still being checked. The files here are raw source material, not findings.
Raw, unmodified responses from the District of Columbia's Contracts and Procurement Transparency Portal (https://contracts.ocp.dc.gov), plus the source documents and other agencies' published files used alongside them.
Nothing here is derived. No classification, no extraction, no OCR output, no joins. Those stay out of this dataset on purpose: they are model output and should not be mistaken for what the District published.
What is here
| Path | What it is |
|---|---|
raw/ |
Portal API responses, pulled 2026-09-05 |
raw_baseline_20260824/ |
The same endpoints, pulled 2026-08-24 |
archive/ |
Every row the portal has ever returned, kept after it stops returning it; refreshed weekly |
h1b/raw/ |
US Department of Labor LCA disclosure files |
calc/raw/ |
GSA CALC API responses (federal awarded hourly rates) |
dcas_sources/ |
Saved source documents for the DCAS procurement history |
Each snapshot directory carries a manifest.json recording what was pulled,
when, and how many rows each file held.
Two snapshots, on purpose
raw_baseline_20260824 is kept because it cannot be re-fetched. The portal
serves current state only, so an August pull is not reproducible from a
September request. Twelve days moved real numbers between these two: contract
rows 7,113 to 7,168, payments 866,823 to 869,839, distinct contracts 3,983 to
4,013.
The archive, and why it exists
The portal is a rolling window, not an archive. When FY2027 began on
1 October 2026 the contracts search stopped returning 1,297 of the 7,165
option-period rows in raw/: every period of 647 contracts, and the oldest
periods of 635 contracts it still lists. Payments in the current table begin on
6 October 2016.
archive/ keeps every row ever pulled. Each file is the portal's response with
four fields added and nothing else changed:
| Field | Meaning |
|---|---|
listed |
Whether the latest pull returned the row. Absent on rows last pulled before the archive began; treat absent as listed. |
first_listed |
First pull that returned it, from October 2026 on. |
last_listed |
Last pull that returned it. |
recovered_on |
Set on rows lost on 1 October 2026 and put back: from raw/ (the 2026-09-05 pull) where it held them, otherwise fetched from the portal's detail endpoint, which still answers for delisted contracts. Every period fetched that way that raw/ also holds matched it field for field. |
archive/parquet/ holds the same rows as Parquet, one file per table, for the
explorer at https://dc-procurement.pages.dev and for anyone who wants to query
them directly.
Amounts and dates are parsed from the portal's text, and each parsed column sits
beside the text it came from; columns.json says where every column comes from.
A few columns are not the portal's, and columns.json marks each one: agency
names filled in from agency_names.yaml, and on contracts period_kind,
base_amount, corrected_amount, same_award_as and correction, from
corrections.yaml, and of_interest and of_interest_detail, from
of_interest.yaml, both in https://github.com/abigailhaddad/dc-software-procurement.
The portal's own values are never overwritten; they sit beside these.
contract_details_older_periods.json holds periods the detail endpoint still
serves but the search had stopped listing before this project's first pull.
They are kept apart so that contract_details.json stays what the search
listed.
Payment ids repeat (879,641 rows, 865,562 ids in October 2026), so do not
de-duplicate on id. A payment is kept as delisted only when its id stops
appearing at all; when the portal revises a payment, the new rows replace the
old ones rather than sitting beside them.
Quirks worth knowing before you use this
The payments endpoint ignores every filter. FiscalYear,
PaymentFiscalYear, CommodityCode, AgencyName and ContractNumber were
each sent alone and each returned the identical complete table. There is no way
to request a slice, so payments.json is the whole table, unpaginated, in one
response.
A contract row is an option period, not a contract. 7,168 rows are 4,013 distinct contract numbers. Summing ceilings across rows double counts.
Most payments carry no contract number. 481,031 of 869,839 rows have one. Any join from payments to contracts covers about 45% of the rows.
paymentAmount and voucherAmount are different things. The first is the
check total and repeats across every line it covers; the second is the line.
Summing the wrong one gives $114.7B instead of $33.5B.
The commodity codes are assigned by the buyer and applied loosely. Class 918, "consulting services", holds Medicaid managed care contracts. Class 920, "data processing, computer, programming and software services", holds a plumbing contractor's $14M contract.
Provenance and license
These are public records published by the District of Columbia, the US Department of Labor, and the General Services Administration. They are reproduced here as fetched, without modification. The District's portal is the authoritative source; where this copy and the portal disagree, the portal is right.
- Downloads last month
- 663