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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
files: int64
attached: int64
hospitals: int64
fees: int64
to
{'fid': Value('string'), 'ccns': List(Value('string')), 'npis': Value('int64'), 'ein': Value('string'), 'how': Value('string')}
because column names don't match
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 810, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                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
              files: int64
              attached: int64
              hospitals: int64
              fees: int64
              to
              {'fid': Value('string'), 'ccns': List(Value('string')), 'npis': Value('int64'), 'ein': Value('string'), 'how': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                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 4 new columns ({'files', 'hospitals', 'attached', 'fees'}) and 5 missing columns ({'ein', 'ccns', 'how', 'fid', 'npis'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/ratecommons/hospitals/fees/hospital_fees.json (at revision b6760be052971e522c3c8e2bebaf1d8ad6261019), ['hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/fees/attach.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/fees/fees.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/fees/hospital_fees.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/0017bf326cffeeb7.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/001da415765b0e33.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00209c0326a66954.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/0057baafdcab907c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/008f9f20bb53567f.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/0099cb4a05c9a969.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00acb275d8f0eaa0.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00ae45a97aecd202.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00be9934db7077c0.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00d86d21efa4f29c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00e85e4cdd7e6e6a.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00e9dfd43f1a2022.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00f970150fda0011.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/00fd0520c54ebbf4.json', 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'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f936f5482047c67a.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9410ae912b3fe86.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f96169f0526ff656.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f972b493ee59b498.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f97860da66154724.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f981c8747841aa24.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9b67842598ef847.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9b948c29a1302f3.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9c8a2299627e3e9.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9cfd45284387d1c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9d6e9bb512c7cdf.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9d76ee5200f5d68.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/f9dac860437e6143.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa03ae6d0b63fdf1.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa0d8b864cb9d74f.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa239402073290a3.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa2f01a78d81f83e.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa3cfa2dd2f61902.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa50c73445ecba0b.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa6097cc3710217b.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fa8dd68295326b0d.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fac259a27963d453.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fae21e2642ca65bd.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fae455942d25fd8e.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb05d696a0cc87d1.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb09c0e11d7126c8.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb0d3784a775c160.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb0d6ae5af597a0f.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb2c17ae4680b5cc.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb3607e853c62b7c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb6368ef1864b311.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb8c0737fb9a0995.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb94deb4bbf05a00.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fb9a709491b42086.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fba096cc312860f3.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fba20b123c10a162.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fba464862d38e36f.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fbc02b1da8226657.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fbf730be658acd01.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fbfadd1c89ee80a3.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc04278a6ed78888.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc106a0fb83e0cd0.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc2c089cee9dba37.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc4080c7760382a0.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc5fa1d79b1c0012.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc64a3cc6d15bbec.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc812935240abd7b.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc930e55cb0639ad.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fc9fcf9aa2d52896.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fcffc3b3147dfbce.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd04a6bbe1ea87de.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd0fae177f8eb109.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd12cce761efb8f1.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd14d6395c271986.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd17fba36811fd31.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd193fddcc771fd8.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd2dcc77f7996e75.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd453015b3000f21.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd572994e465479a.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd7be3e9577fe678.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd984268d6a1ad90.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fd988b3b3e567b65.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fda52684b6cccd02.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fda92f451dd40ec5.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdabaaaaef89cd76.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdb5e3c21ac6254c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdbeb119bb5a5b57.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdc4c94c595cc62e.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdd18c82192fd5e9.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdd699665ead8499.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fde1ffb954cc5e90.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdf0af12b52cc44e.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fdfd53c48d890e35.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe198a34cdd206c5.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe3383eb7bdc1dd8.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe446d2add60a53a.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe5618119252da12.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe886f1260fb673d.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe8d4104be40e996.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fe9f21380acb6069.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fea0e94a25033b47.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fea9e4592c86c7dc.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/febe69519735e97b.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/febe9daf180b1a34.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fed5aacdea92217e.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fed9c81db243b6e7.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fedeacb37e5d1123.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fee620f1d39bdab0.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/feff92e48aff1b6c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff024fcc815820be.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff1bff35a243d78c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff2f88f16ee56d24.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff53a7a30f634d6c.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff85443603281109.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff86e0502f1d5d5b.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ff8cb436c1aba1a1.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffa4808fecff1133.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffa48451649879e4.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffa91252c33bb738.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffab6db9bc7394e2.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffaeb66dff658f65.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffca3fb3bf09770d.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/ffe6913927a158e8.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/full/fffa7e353f0bb1a3.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/index/discover.json', 'hf://datasets/ratecommons/hospitals@b6760be052971e522c3c8e2bebaf1d8ad6261019/index/domains_tried.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)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                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
              files: int64
              attached: int64
              hospitals: int64
              fees: int64
              to
              {'fid': Value('string'), 'ccns': List(Value('string')), 'npis': Value('int64'), 'ein': Value('string'), 'how': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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.

fid
string
ccns
list
npis
int64
ein
string
how
string
33aeeba48718a85e
[ "220029" ]
1
832671600
npi
202dc10573fafeb5
[ "110129" ]
1
null
address
0d3c7a4cdbf1f400
[ "450431" ]
1
742781812
npi
7d1d465982a313fe
[ "141318" ]
2
370813229
npi
5b67e82cba9b2acc
[ "150091" ]
1
351970706
npi
42c4c67e359e5562
[]
1
842021041
null
d1c16494d5bbfef9
[ "520076" ]
1
391157876
npi
f0cc868a9e0d6c39
[ "340069" ]
4
566017737
npi
727603c7605c9ad3
[ "131313" ]
1
null
npi
a8dcdaa032826b85
[ "330106" ]
3
null
npi
b179372450f405f6
[ "050115" ]
1
null
npi
0ed9bdc4a6f226e2
[ "363303" ]
1
null
npi
d87d3927c1c7f242
[]
1
852358003
null
cc0576260c4628c5
[]
1
null
null
7cde79e58e7291df
[ "030089" ]
2
270036484
npi
bf1930cc3ea21f77
[ "380017" ]
3
930386793
npi
6dcfee839162543c
[ "330222" ]
1
null
npi
d60258604010060d
[ "453304" ]
1
741100555
npi
d692ff05bf62de6a
[ "190255" ]
1
264203041
npi
e5c716cab29bd6f3
[ "200050" ]
1
010198331
npi
a1e8cf80209972ef
[]
1
null
null
600e791cf0ce2fb5
[ "110035" ]
1
null
npi
06a5536d76e28cb8
[ "050561" ]
1
941105628
npi
824bf3e97c8f0ed9
[ "050026" ]
1
330449527
npi
50ebaf8124f09737
[ "511316" ]
1
881740605
npi
1a30ed0e8fc18850
[ "100019" ]
1
590624371
npi
ca00b83724598bb5
[]
1
610703799
null
2ab543517a86fc35
[ "110200" ]
1
331216751
npi
532fb9614c801b5d
[]
2
990262194
null
cf8ec9f121300d3e
[ "030146" ]
1
860181654
address
2594dd899e6a4d39
[ "271340" ]
1
810240726
npi
73cc633807abee77
[]
1
132919257
null
5bf9974d52c3e381
[]
1
461429335
null
44dd376f416f76ca
[ "140064" ]
1
370662581
npi
1c1cfafee0ca2c82
[]
1
590634433
null
3fc3ba9f7066affa
[ "330182" ]
1
112050523
npi
251a331028e4adcd
[ "450844" ]
1
760545192
npi
b825b4018bcc6471
[ "181302" ]
1
610510934
npi
2a4383ce9b6fc654
[]
1
721397571
null
2673ed2b54b43b07
[]
1
261207854
null
c20a65bcd447e476
[ "191312" ]
1
720408984
npi
7d3ff6bd7526f4ec
[ "060023" ]
2
840425720
npi
e7bbadef0241cbce
[]
1
371921725
null
e7d96c57ea66440c
[ "141354" ]
2
370512290
npi
fb2c17ae4680b5cc
[ "320005" ]
2
null
npi
aafb4d4e3ceb3fbb
[ "320006" ]
0
742870118
address
92e401b57dba77a9
[]
1
742781812
null
c1d85cd50e1d8da3
[ "450828" ]
1
741109836
npi
3673a2ff24e49e1d
[ "260160" ]
1
461481133
npi
d055c6cf2dc2d5cb
[]
1
862918445
null
001da415765b0e33
[]
1
null
null
d587f874b8ff1bbe
[ "360009" ]
2
344434676
npi
a1ef7e000adc7ecf
[]
1
270844718
null
cbe87389662c8856
[ "131328" ]
1
null
address
32fd05b4a9b287d4
[]
2
056000522
null
bc9fe9653205fe99
[]
1
203062075
null
aabd583b6a53cf5d
[ "440048" ]
1
620123940
npi
0d9b12633b8683f9
[ "160016" ]
1
421009175
npi
ca9dc383ec8168d4
[ "180010", "180143" ]
1
611400619
npi
4688a7e509346c75
[ "451305" ]
2
742759890
npi
9b7525d10becde02
[ "270017" ]
1
810231785
npi
7eaf739466150cc5
[ "360059" ]
2
346004382
npi
51ce503159105084
[ "020006" ]
0
721563402
address
46c8d93925dfd932
[ "140202" ]
1
262525968
npi
99b3a7919899c47c
[ "100053" ]
1
995053647
npi
6304d9cea2c737ff
[]
1
842783143
null
5c12c5b133196651
[]
1
992415215
null
0c2787031b0a7eba
[ "100302" ]
1
null
npi
2bd98401ed8889ba
[ "390093" ]
3
251010039
npi
561bbfd3ad92b79b
[ "310047" ]
1
null
address
00d86d21efa4f29c
[]
2
210634484
null
658084f831fd1c9f
[]
1
741109643
null
ab917e6b4bd8d3d0
[ "420091" ]
3
571098556
npi
dd60ddbe71954511
[]
0
274564798
null
f462910b4208ae4a
[ "310052" ]
2
221487576
npi
43996160217b6ddd
[]
1
831877464
null
281a95bf73ee2dd7
[ "060006" ]
5
null
npi
99ff09aa504b85a8
[ "360118" ]
2
340714456
npi
015de07819690ab5
[ "330240" ]
1
null
npi
66c54249f27ea300
[ "231323" ]
1
382770076
npi
bcebc81f021f6b7a
[ "051307" ]
1
null
npi
fd17fba36811fd31
[]
1
631184847
null
9fa0b1058779c5d9
[ "381319" ]
2
930391614
npi
0ddf5ae283b645ab
[ "283300" ]
1
null
npi
f7f69061ac5d71cf
[ "131320", "131321" ]
2
null
npi
341c1a20f354594f
[]
1
262934144
null
c24874e2bb355439
[ "050060" ]
1
941156276
npi
f82a75398b5532e8
[ "141335" ]
1
311551871
npi
bb71484c855fd510
[]
1
751844139
null
a836706a0319ada4
[]
3
933242438
null
f4435a2360bbe665
[ "160028" ]
2
470484764
npi
6b362cc0fc07db0d
[]
1
721398803
null
dd2261a2d27c53c7
[]
2
131924236
null
f3aa133a5da1699c
[ "381316" ]
1
null
npi
bb91fe8affed81a9
[ "050082" ]
1
941196203
npi
a8043633c1bc6081
[ "450292" ]
1
752771437
npi
4a0856591cd0266b
[ "670082" ]
1
751037591
npi
5db033c6678f88ff
[ "420080" ]
1
934604680
npi
ff024fcc815820be
[ "190019" ]
1
720408984
npi
f06021843fe50302
[ "381301" ]
1
null
npi
End of preview.

RateCommons hospital price files

Every US hospital must publish a machine-readable file of its standard charges (45 CFR 180), including the amount each insurance plan pays, its gross charge and its discounted cash price. Since January 2026 the files must also carry, per plan, the median and 10th/90th percentile of the amounts actually paid on claims and the number of claims. RateCommons collects these files and publishes them in one schema.

How the files are found

Hospitals must publish cms-hpt.txt at the root of their website, listing each location and its file. We crawl those files, seeded by DoltHub's hospital list (2023) and Wikidata's US hospitals with an official website, and add every domain named inside a cms-hpt.txt (file hosts, contact e-mail domains) until nothing new turns up. November 2026: 4,242 locations, 3,516 distinct file URLs on 1,200 domains (about 70% of US hospitals). Aggregator link lists are not used as sources.

Layout

  • index/cms_hpt_index.parquet: location name, file URL, source page, hpt.txt URL, EIN parsed from the file name.
  • full/<fid>.parquet (one per file, fid = first 16 hex digits of md5(file URL)) and full/<fid>.json (the file's header: hospital name, date, schema version, locations, addresses, type-2 NPIs; format, size, errors).
  • fees/hospital_fees.json: per hospital (CMS Certification Number) x payer family x code, the facility amount for the RateCommons patient-tool procedures; fees/attach.json: which file belongs to which hospital and how.

Columns of full/*.parquet, one row per item x code x setting x payer/plan, as published: description, code, code_type, setting, gross, cash, payer, plan, methodology, dollar, percentage, algorithm, median_allowed, p10, p90, count, notes, modifiers, billing_class.

Attaching files to hospitals

A file belongs to a hospital when one of its type-2 NPIs has an NPPES address at a hospital site (CMS Provider of Services file gives the site its CCN); else when an organization NPI with the EIN in the file name does; else when the street address the file lists matches the hospital's. Names are never used. Files whose NPIs span more than three hospitals are not attached (system-wide files). November 2026: 2,465 of 3,227 parsed files, 2,242 hospitals.

November 2026 release: 3,227 files normalized, 10.6 billion rows, 91 GB of Parquet (from 801 GB as published).

Using it

-- DuckDB: one hospital's MRI brain rates, every plan
INSTALL httpfs; LOAD httpfs;
SELECT payer, plan, setting, dollar, percentage, median_allowed, count
FROM 'hf://datasets/ratecommons/hospitals/full/<fid>.parquet'
WHERE code = '70553';

Find a hospital's fid in index/cms_hpt_index.parquet (by name or file URL) or in fees/attach.json (by CCN).

Caveats

  • Values are as the hospital published them; we do not correct them. Percentages are of the hospital's charges.
  • count is text as published (e.g. "1 through 10").
  • About 9% of discovered URLs could not be read (404, HTML pages instead of files, malformed CSV).
  • The CPT descriptor text in description is the hospital's own wording.
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