Datasets:

MIT-WAL
/

US_AI_Map

License:

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train

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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 2 new columns ({'onetsoc_title', 'onetsoc_code'}) and 10 missing columns ({'area_type', 'a_mean', 'beta', 'msa_code', 'detail_column', 'soc_code', 'pi', 'task_id', 'penetration', 'weight'}).

This happened while the csv dataset builder was generating data using

hf://datasets/MIT-WAL/US_AI_Map/OEWS_2024_30_2/occupation_dim.csv (at revision 825b7e01764a06837f9bba6654695083b04e43bc), [/tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/msa_map_data.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/msa_map_data.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/occupation_dim.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/occupation_dim.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/state_map_data.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/state_map_data.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/task_dim.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/task_dim.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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              onetsoc_code: string
              onetsoc_title: string
              job_family: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 631
              to
              {'soc_code': Value('string'), 'task_id': Value('int64'), 'penetration': Value('float64'), 'beta': Value('float64'), 'pi': Value('float64'), 'job_family': Value('string'), 'detail_column': Value('int64'), 'msa_code': Value('int64'), 'weight': Value('float64'), 'a_mean': Value('float64'), 'area_type': Value('int64')}
              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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 2 new columns ({'onetsoc_title', 'onetsoc_code'}) and 10 missing columns ({'area_type', 'a_mean', 'beta', 'msa_code', 'detail_column', 'soc_code', 'pi', 'task_id', 'penetration', 'weight'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MIT-WAL/US_AI_Map/OEWS_2024_30_2/occupation_dim.csv (at revision 825b7e01764a06837f9bba6654695083b04e43bc), [/tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/msa_map_data.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/msa_map_data.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/occupation_dim.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/occupation_dim.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/state_map_data.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/state_map_data.csv), /tmp/hf-datasets-cache/medium/datasets/48579598220292-config-parquet-and-info-MIT-WAL-US_AI_Map-0592a1e1/hub/datasets--MIT-WAL--US_AI_Map/snapshots/825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/task_dim.csv (origin=hf://datasets/MIT-WAL/US_AI_Map@825b7e01764a06837f9bba6654695083b04e43bc/OEWS_2024_30_2/task_dim.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.

soc_code string	task_id int64	beta float64	pi float64	job_family string	msa_code int64	weight float64	a_mean float64	area_type int64
11-1011	8,823	0.5	0.047235	Management	10,180	2.361766	213,250	4
11-1011	8,823	0.5	0.047235	Management	10,380	5.668238	100,550	4
11-1011	8,823	0.5	0.047235	Management	10,420	12.753536	240,570	4
11-1011	8,823	0.5	0.047235	Management	10,500	3.306472	0	4
11-1011	8,823	0.5	0.047235	Management	10,580	29.285898	191,200	4
11-1011	8,823	0.5	0.047235	Management	10,740	9.919417	181,340	4
11-1011	8,823	0.5	0.047235	Management	10,900	22.2006	289,800	4
11-1011	8,823	0.5	0.047235	Management	11,020	3.306472	261,830	4
11-1011	8,823	0.5	0.047235	Management	11,100	3.306472	238,790	4
11-1011	8,823	0.5	0.047235	Management	11,180	6.140592	194,900	4
11-1011	8,823	0.5	0.047235	Management	11,200	3.306472	189,910	4
11-1011	8,823	0.5	0.047235	Management	11,260	22.2006	214,020	4
11-1011	8,823	0.5	0.047235	Management	11,460	9.447064	301,860	4
11-1011	8,823	0.5	0.047235	Management	11,540	8.030005	272,490	4
11-1011	8,823	0.5	0.047235	Management	11,640	2.361766	97,260	4
11-1011	8,823	0.5	0.047235	Management	11,700	3.778826	297,020	4
11-1011	8,823	0.5	0.047235	Management	12,020	3.778826	202,340	4
11-1011	8,823	0.5	0.047235	Management	12,060	156.3489	302,530	4
11-1011	8,823	0.5	0.047235	Management	12,100	0	414,760	4
11-1011	8,823	0.5	0.047235	Management	12,260	7.557651	190,650	4
11-1011	8,823	0.5	0.047235	Management	12,420	49.124733	287,780	4
11-1011	8,823	0.5	0.047235	Management	12,540	19.838835	218,260	4
11-1011	8,823	0.5	0.047235	Management	12,580	120.92242	300,250	4
11-1011	8,823	0.5	0.047235	Management	12,620	8.030005	194,650	4
11-1011	8,823	0.5	0.047235	Management	12,700	4.723532	210,860	4
11-1011	8,823	0.5	0.047235	Management	12,940	6.140592	256,710	4
11-1011	8,823	0.5	0.047235	Management	12,980	3.778826	304,200	4
11-1011	8,823	0.5	0.047235	Management	13,140	3.778826	250,930	4
11-1011	8,823	0.5	0.047235	Management	13,220	3.778826	174,710	4
11-1011	8,823	0.5	0.047235	Management	13,380	4.251179	261,920	4
11-1011	8,823	0.5	0.047235	Management	13,460	1.41706	329,220	4
11-1011	8,823	0.5	0.047235	Management	13,740	5.195885	272,970	4
11-1011	8,823	0.5	0.047235	Management	13,780	2.834119	168,460	4
11-1011	8,823	0.5	0.047235	Management	13,820	10.864123	248,740	4
11-1011	8,823	0.5	0.047235	Management	13,900	2.361766	303,520	4
11-1011	8,823	0.5	0.047235	Management	13,980	2.834119	308,710	4
11-1011	8,823	0.5	0.047235	Management	14,010	7.085298	0	4
11-1011	8,823	0.5	0.047235	Management	14,020	3.306472	241,200	4
11-1011	8,823	0.5	0.047235	Management	14,260	87.38534	0	4
11-1011	8,823	0.5	0.047235	Management	14,460	261.6837	341,340	4
11-1011	8,823	0.5	0.047235	Management	14,500	4.723532	342,930	4
11-1011	8,823	0.5	0.047235	Management	14,540	5.195885	224,220	4
11-1011	8,823	0.5	0.047235	Management	14,580	4.723532	278,670	4
11-1011	8,823	0.5	0.047235	Management	14,740	3.306472	280,320	4
11-1011	8,823	0.5	0.047235	Management	14,860	19.366482	478,220	4
11-1011	8,823	0.5	0.047235	Management	15,180	2.361766	184,470	4
11-1011	8,823	0.5	0.047235	Management	15,260	3.306472	0	4
11-1011	8,823	0.5	0.047235	Management	15,380	17.004715	305,800	4
11-1011	8,823	0.5	0.047235	Management	15,500	1.41706	285,360	4
11-1011	8,823	0.5	0.047235	Management	15,540	8.502358	262,760	4
11-1011	8,823	0.5	0.047235	Management	15,940	5.195885	239,890	4
11-1011	8,823	0.5	0.047235	Management	15,980	22.672953	205,510	4
11-1011	8,823	0.5	0.047235	Management	16,020	2.361766	186,480	4
11-1011	8,823	0.5	0.047235	Management	16,180	3.778826	215,760	4
11-1011	8,823	0.5	0.047235	Management	16,300	17.477068	185,850	4
11-1011	8,823	0.5	0.047235	Management	16,540	2.361766	223,460	4
11-1011	8,823	0.5	0.047235	Management	16,580	3.306472	303,630	4
11-1011	8,823	0.5	0.047235	Management	16,620	7.557651	209,540	4
11-1011	8,823	0.5	0.047235	Management	16,700	23.145308	226,000	4
11-1011	8,823	0.5	0.047235	Management	16,740	46.290615	321,270	4
11-1011	8,823	0.5	0.047235	Management	16,820	6.612945	374,910	4
11-1011	8,823	0.5	0.047235	Management	16,860	18.894129	214,830	4
11-1011	8,823	0.5	0.047235	Management	16,980	185.16246	327,700	4
11-1011	8,823	0.5	0.047235	Management	17,020	5.668238	209,060	4
11-1011	8,823	0.5	0.047235	Management	17,140	48.652378	283,670	4
11-1011	8,823	0.5	0.047235	Management	17,300	5.195885	181,570	4
11-1011	8,823	0.5	0.047235	Management	17,410	41.094727	304,920	4
11-1011	8,823	0.5	0.047235	Management	17,420	2.361766	168,840	4
11-1011	8,823	0.5	0.047235	Management	17,660	9.447064	193,370	4
11-1011	8,823	0.5	0.047235	Management	17,780	3.778826	199,420	4
11-1011	8,823	0.5	0.047235	Management	17,820	2.834119	220,930	4
11-1011	8,823	0.5	0.047235	Management	17,860	5.668238	217,600	4
11-1011	8,823	0.5	0.047235	Management	17,900	25.507072	210,220	4
11-1011	8,823	0.5	0.047235	Management	17,980	4.251179	190,940	4
11-1011	8,823	0.5	0.047235	Management	18,140	45.81826	279,070	4
11-1011	8,823	0.5	0.047235	Management	18,580	4.251179	233,740	4
11-1011	8,823	0.5	0.047235	Management	18,880	14.170596	0	4
11-1011	8,823	0.5	0.047235	Management	19,140	2.361766	365,920	4
11-1011	8,823	0.5	0.047235	Management	19,340	16.532362	281,370	4
11-1011	8,823	0.5	0.047235	Management	19,430	10.864123	261,870	4
11-1011	8,823	0.5	0.047235	Management	19,500	2.361766	226,130	4
11-1011	8,823	0.5	0.047235	Management	19,660	15.115302	188,370	4
11-1011	8,823	0.5	0.047235	Management	19,740	0	320,810	4
11-1011	8,823	0.5	0.047235	Management	19,780	51.014145	233,580	4
11-1011	8,823	0.5	0.047235	Management	19,820	76.99357	324,910	4
11-1011	8,823	0.5	0.047235	Management	20,100	8.030005	0	4
11-1011	8,823	0.5	0.047235	Management	20,220	6.140592	207,830	4
11-1011	8,823	0.5	0.047235	Management	20,260	11.80883	183,380	4
11-1011	8,823	0.5	0.047235	Management	20,500	10.39177	391,400	4
11-1011	8,823	0.5	0.047235	Management	20,740	4.251179	298,140	4
11-1011	8,823	0.5	0.047235	Management	20,940	3.778826	176,690	4
11-1011	8,823	0.5	0.047235	Management	21,060	3.306472	155,480	4
11-1011	8,823	0.5	0.047235	Management	21,140	6.140592	280,860	4
11-1011	8,823	0.5	0.047235	Management	21,340	4.723532	223,540	4
11-1011	8,823	0.5	0.047235	Management	21,500	7.085298	233,640	4
11-1011	8,823	0.5	0.047235	Management	21,660	2.834119	364,540	4
11-1011	8,823	0.5	0.047235	Management	21,780	2.834119	293,410	4
11-1011	8,823	0.5	0.047235	Management	21,820	3.306472	215,530	4
11-1011	8,823	0.5	0.047235	Management	22,020	6.140592	260,700	4
11-1011	8,823	0.5	0.047235	Management	22,180	1.889413	290,530	4

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