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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 206 new columns ({'trpv_antagonist', 'jak_inhibitor', 'opioid_receptor_antagonist', 'antiarrhythmic', 'progesterone_receptor_agonist', 'glutamate_receptor_agonist', 'glutamate_receptor_antagonist', 'potassium_channel_activator', 'bcl_inhibitor', 'potassium_channel_antagonist', 'glucocorticoid_receptor_agonist', 'monoamine_oxidase_inhibitor', 'gamma_secretase_inhibitor', 'radiopaque_medium', 'vitamin_b', 'cytochrome_p450_inhibitor', 'norepinephrine_reuptake_inhibitor', 'acat_inhibitor', 'bacterial_dna_inhibitor', 'farnesyltransferase_inhibitor', 'atpase_inhibitor', 'nicotinic_receptor_agonist', 'aldehyde_dehydrogenase_inhibitor', 'laxative', 'bcr-abl_inhibitor', 'acetylcholine_receptor_antagonist', 'calcineurin_inhibitor', 'fungal_squalene_epoxidase_inhibitor', 'nitric_oxide_donor', 'histamine_receptor_agonist', 'kit_inhibitor', 'anesthetic_-_local', 'monopolar_spindle_1_kinase_inhibitor', 'benzodiazepine_receptor_agonist', 'immunosuppressant', 'apoptosis_stimulant', 'adenosine_receptor_agonist', 'vegfr_inhibitor', 'lipase_inhibitor', 'anticonvulsant', 'bromodomain_inhibitor', 'integrin_inhibitor', 'rna_polymerase_inhibitor', 'gaba_receptor_agonist', 'corticosteroid_agonist', 'leukotriene_receptor_antagonist', 'steroid', 'adenosine_receptor_antagonist', 'angiotensin_receptor_antagonist', 'tubulin_inhibitor', '11-beta-hsd1_inhibitor', 'pdgfr_inhibitor', 'akt_inhibitor', 'carbonic_anhydrase_inhibitor', 'angiogenesis_inhibitor', 'chloride_channel_blocker', 'cholesterol_inhibitor', 'atp-sensitive_
...
_acid_receptor_agonist', 'tachykinin_antagonist', 'hmgcr_inhibitor', 'pdk_inhibitor', 'nfkb_inhibitor', 'p-glycoprotein_inhibitor', 'progesterone_receptor_antagonist', 'beta_amyloid_inhibitor', 'tlr_antagonist', 'retinoid_receptor_antagonist', 'antioxidant', 'autotaxin_inhibitor', 'histamine_receptor_antagonist', 'nitric_oxide_synthase_inhibitor', 'transient_receptor_potential_channel_antagonist', 'leukotriene_inhibitor', 'calcium_channel_blocker', 'lipoxygenase_inhibitor', 'antiviral', 'glutamate_inhibitor', 'serotonin_reuptake_inhibitor', 'antifungal', 'atm_kinase_inhibitor', 'antibiotic', 'thymidylate_synthase_inhibitor', 'ubiquitin_specific_protease_inhibitor', 'atr_kinase_inhibitor', 'faah_inhibitor', 'hdac_inhibitor', 'aurora_kinase_inhibitor', 'dihydrofolate_reductase_inhibitor', 'catechol_o_methyltransferase_inhibitor', 'tlr_agonist', 'neuropeptide_receptor_antagonist', 'atp_synthase_inhibitor', 'gonadotropin_receptor_agonist', 'gsk_inhibitor', 'insulin_sensitizer', 'sphingosine_receptor_agonist', 'src_inhibitor', 'chelating_agent', 'histone_lysine_methyltransferase_inhibitor', 'analgesic', 'parp_inhibitor', 'ikk_inhibitor', 'pi3k_inhibitor', 'protein_synthesis_inhibitor', 'estrogen_receptor_agonist', 'lxr_agonist', 'flt3_inhibitor', 'orexin_receptor_antagonist', 'bacterial_cell_wall_synthesis_inhibitor', 'aromatase_inhibitor', 'insulin_secretagogue', 'adenylyl_cyclase_activator', 'dna_alkylating_agent', 'bacterial_antifolate', 'mineralocorticoid_receptor_antagonist'}) and 875 missing columns ({'c-84', 'c-86', 'g-470', 'g-557', 'g-432', 'g-391', 'g-183', 'g-263', 'g-610', 'g-724', 'g-377', 'g-76', 'c-24', 'g-463', 'g-736', 'g-253', 'g-148', 'g-589', 'g-151', 'g-344', 'g-647', 'c-76', 'c-87', 'c-98', 'c-99', 'g-259', 'g-526', 'g-133', 'g-500', 'g-321', 'g-135', 'g-765', 'g-262', 'g-696', 'g-461', 'g-420', 'g-509', 'g-342', 'c-17', 'g-141', 'g-41', 'g-167', 'g-144', 'g-739', 'g-521', 'g-383', 'g-505', 'g-537', 'g-741', 'g-86', 'g-757', 'c-42', 'g-295', 'g-13', 'g-10', 'c-90', 'c-69', 'g-250', 'g-112', 'g-675', 'g-733', 'c-40', 'c-21', 'g-241', 'g-531', 'g-734', 'c-79', 'c-4', 'g-128', 'g-142', 'g-487', 'g-277', 'g-705', 'g-367', 'c-51', 'g-759', 'g-18', 'g-540', 'g-413', 'g-573', 'g-101', 'g-116', 'g-190', 'g-510', 'g-316', 'g-574', 'g-451', 'c-37', 'g-513', 'g-418', 'g-688', 'g-49', 'g-490', 'g-398', 'c-27', 'c-85', 'g-272', 'g-676', 'g-726', 'g-648', 'g-15', 'g-67', 'g-387', 'g-624', 'g-590', 'g-663', 'g-524', 'g-82', 'g-307', 'g-769', 'g-491', 'g-355', 'g-236', 'g-239', 'g-486', 'c-33', 'g-512', 'g-373', 'c-3', 'g-68', 'c-32', 'c-30', 'g-9', 'c-56', 'g-224', 'g-334', 'g-352', 'g-320', 'g-194', 'g-11', 'g-653', 'g-586', 'g-717', 'c-81', 'g-324', 'g-181', 'g-6', 'g-465', 'g-558', 'g-89', 'g-62', 'g-546', 'g-48', 'g-723', 'g-408', 'g-265', 'g-605', 'c-14', 'g-441', 'g-221', 'g-742', 'g-204', 'c-88', 'g-99', 'g-298', 'g-396', 'g-681', 'g-562', 'g-362', 'g-552', 'g-445', 'g-138', 'g-689', 'g-244', 'g-278', 'g-358', 'c-9', 'g-276', 'g-64', 'g-229', 'g-363', 'g-242', 'g-
...
492', 'g-565', 'g-536', 'g-753', 'g-243', 'c-18', 'g-661', 'g-386', 'g-69', 'g-188', 'g-2', 'g-343', 'g-643', 'c-41', 'g-136', 'c-97', 'g-550', 'cp_dose', 'g-637', 'g-730', 'g-206', 'g-147', 'g-187', 'g-196', 'g-256', 'g-379', 'g-677', 'g-450', 'g-139', 'g-479', 'g-79', 'g-686', 'g-468', 'g-4', 'g-493', 'g-252', 'g-612', 'g-718', 'c-95', 'g-762', 'g-203', 'g-290', 'g-284', 'g-77', 'g-449', 'g-350', 'g-613', 'g-555', 'g-766', 'g-561', 'c-64', 'g-175', 'g-429', 'c-71', 'g-234', 'g-430', 'c-19', 'g-19', 'g-30', 'g-366', 'g-738', 'g-655', 'g-210', 'g-336', 'g-435', 'g-92', 'g-218', 'g-14', 'g-376', 'g-222', 'g-306', 'g-523', 'g-162', 'c-80', 'g-118', 'g-397', 'g-722', 'g-51', 'g-426', 'g-619', 'g-37', 'g-348', 'g-747', 'g-220', 'g-535', 'g-108', 'g-283', 'g-106', 'g-353', 'c-70', 'g-5', 'g-438', 'g-483', 'g-330', 'g-3', 'g-347', 'g-519', 'g-634', 'g-267', 'g-656', 'g-47', 'g-17', 'g-389', 'g-271', 'c-15', 'g-161', 'g-208', 'g-249', 'g-191', 'g-416', 'g-193', 'g-484', 'c-63', 'g-40', 'g-751', 'g-78', 'g-61', 'g-246', 'g-556', 'g-125', 'c-34', 'g-615', 'g-152', 'g-314', 'g-105', 'g-743', 'c-89', 'g-682', 'g-245', 'g-313', 'g-515', 'g-633', 'g-297', 'g-666', 'g-732', 'g-662', 'g-312', 'g-223', 'g-639', 'g-143', 'g-566', 'g-469', 'g-740', 'g-504', 'g-745', 'g-126', 'g-635', 'c-53', 'c-13', 'g-584', 'g-424', 'c-16', 'c-49', 'g-280', 'g-84', 'g-52', 'g-657', 'g-248', 'g-606', 'g-665', 'g-457', 'g-71', 'c-94', 'g-258', 'g-652', 'g-409', 'g-153', 'c-5', 'g-50', 'g-164', 'g-109', 'g-538'}).

This happened while the csv dataset builder was generating data using

hf://datasets/beaniscold/hive-moa-prediction/train_targets.csv (at revision 30f8ea4f712532cec61be0fd0015503ef6a9146f), [/tmp/hf-datasets-cache/medium/datasets/16581933444838-config-parquet-and-info-beaniscold-hive-moa-predi-6909c5ea/hub/datasets--beaniscold--hive-moa-prediction/snapshots/30f8ea4f712532cec61be0fd0015503ef6a9146f/train_features.csv (origin=hf://datasets/beaniscold/hive-moa-prediction@30f8ea4f712532cec61be0fd0015503ef6a9146f/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/16581933444838-config-parquet-and-info-beaniscold-hive-moa-predi-6909c5ea/hub/datasets--beaniscold--hive-moa-prediction/snapshots/30f8ea4f712532cec61be0fd0015503ef6a9146f/train_targets.csv (origin=hf://datasets/beaniscold/hive-moa-prediction@30f8ea4f712532cec61be0fd0015503ef6a9146f/train_targets.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 1893, 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              sig_id: string
              5-alpha_reductase_inhibitor: int64
              11-beta-hsd1_inhibitor: int64
              acat_inhibitor: int64
              acetylcholine_receptor_agonist: int64
              acetylcholine_receptor_antagonist: int64
              acetylcholinesterase_inhibitor: int64
              adenosine_receptor_agonist: int64
              adenosine_receptor_antagonist: int64
              adenylyl_cyclase_activator: int64
              adrenergic_receptor_agonist: int64
              adrenergic_receptor_antagonist: int64
              akt_inhibitor: int64
              aldehyde_dehydrogenase_inhibitor: int64
              alk_inhibitor: int64
              ampk_activator: int64
              analgesic: int64
              androgen_receptor_agonist: int64
              androgen_receptor_antagonist: int64
              anesthetic_-_local: int64
              angiogenesis_inhibitor: int64
              angiotensin_receptor_antagonist: int64
              anti-inflammatory: int64
              antiarrhythmic: int64
              antibiotic: int64
              anticonvulsant: int64
              antifungal: int64
              antihistamine: int64
              antimalarial: int64
              antioxidant: int64
              antiprotozoal: int64
              antiviral: int64
              apoptosis_stimulant: int64
              aromatase_inhibitor: int64
              atm_kinase_inhibitor: int64
              atp-sensitive_potassium_channel_antagonist: int64
              atp_synthase_inhibitor: int64
              atpase_inhibitor: int64
              atr_kinase_inhibitor: int64
              aurora_kinase_inhibitor: int64
              autotaxin_inhibitor: int64
              bacterial_30s_ribosomal_subunit_inhibitor: int64
              bacterial_50s_ribosomal_subunit_inhibitor: int64
              bacterial_antifolate: int64
              bacterial_cell_wall_synthesis_inhibitor: int64
              bacterial_dna_gyrase_inhibitor: int64
              bacterial_dna_inhibitor: int64
              bacterial_membrane_integrity_inhibitor: int64
              bcl_inhibitor: int64
              bcr-abl_inhibitor: int64
              benzodiaz
              ...
              64
              prostaglandin_inhibitor: int64
              prostanoid_receptor_antagonist: int64
              proteasome_inhibitor: int64
              protein_kinase_inhibitor: int64
              protein_phosphatase_inhibitor: int64
              protein_synthesis_inhibitor: int64
              protein_tyrosine_kinase_inhibitor: int64
              radiopaque_medium: int64
              raf_inhibitor: int64
              ras_gtpase_inhibitor: int64
              retinoid_receptor_agonist: int64
              retinoid_receptor_antagonist: int64
              rho_associated_kinase_inhibitor: int64
              ribonucleoside_reductase_inhibitor: int64
              rna_polymerase_inhibitor: int64
              serotonin_receptor_agonist: int64
              serotonin_receptor_antagonist: int64
              serotonin_reuptake_inhibitor: int64
              sigma_receptor_agonist: int64
              sigma_receptor_antagonist: int64
              smoothened_receptor_antagonist: int64
              sodium_channel_inhibitor: int64
              sphingosine_receptor_agonist: int64
              src_inhibitor: int64
              steroid: int64
              syk_inhibitor: int64
              tachykinin_antagonist: int64
              tgf-beta_receptor_inhibitor: int64
              thrombin_inhibitor: int64
              thymidylate_synthase_inhibitor: int64
              tlr_agonist: int64
              tlr_antagonist: int64
              tnf_inhibitor: int64
              topoisomerase_inhibitor: int64
              transient_receptor_potential_channel_antagonist: int64
              tropomyosin_receptor_kinase_inhibitor: int64
              trpv_agonist: int64
              trpv_antagonist: int64
              tubulin_inhibitor: int64
              tyrosine_kinase_inhibitor: int64
              ubiquitin_specific_protease_inhibitor: int64
              vegfr_inhibitor: int64
              vitamin_b: int64
              vitamin_d_receptor_agonist: int64
              wnt_inhibitor: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 29603
              to
              {'sig_id': Value('string'), 'cp_type': Value('string'), 'cp_time': Value('int64'), 'cp_dose': Value('string'), 'g-0': Value('float64'), 'g-1': Value('float64'), 'g-2': Value('float64'), 'g-3': Value('float64'), 'g-4': Value('float64'), 'g-5': Value('float64'), 'g-6': Value('float64'), 'g-7': Value('float64'), 'g-8': Value('float64'), 'g-9': Value('float64'), 'g-10': Value('float64'), 'g-11': Value('float64'), 'g-12': Value('float64'), 'g-13': Value('float64'), 'g-14': Value('float64'), 'g-15': Value('float64'), 'g-16': Value('float64'), 'g-17': Value('float64'), 'g-18': Value('float64'), 'g-19': Value('float64'), 'g-20': Value('float64'), 'g-21': Value('float64'), 'g-22': Value('float64'), 'g-23': Value('float64'), 'g-24': Value('float64'), 'g-25': Value('float64'), 'g-26': Value('float64'), 'g-27': Value('float64'), 'g-28': Value('float64'), 'g-29': Value('float64'), 'g-30': Value('float64'), 'g-31': Value('float64'), 'g-32': Value('float64'), 'g-33': Value('float64'), 'g-34': Value('float64'), 'g-35': Value('float64'), 'g-36': Value('float64'), 'g-37': Value('float64'), 'g-38': Value('float64'), 'g-39': Value('float64'), 'g-40': Value('float64'), 'g-41': Value('float64'), 'g-42': Value('float64'), 'g-43': Value('float64'), 'g-44': Value('float64'), 'g-45': Value('float64'), 'g-46': Value('float64'), 'g-47': Value('float64'), 'g-48': Value('float64'), 'g-49': Value('float64'), 'g-50': Value('float64'), 'g-51': Value('float64'), 'g-52': Value('float64'), 'g-53': Value('float6
              ...
               Value('float64'), 'c-43': Value('float64'), 'c-44': Value('float64'), 'c-45': Value('float64'), 'c-46': Value('float64'), 'c-47': Value('float64'), 'c-48': Value('float64'), 'c-49': Value('float64'), 'c-50': Value('float64'), 'c-51': Value('float64'), 'c-52': Value('float64'), 'c-53': Value('float64'), 'c-54': Value('float64'), 'c-55': Value('float64'), 'c-56': Value('float64'), 'c-57': Value('float64'), 'c-58': Value('float64'), 'c-59': Value('float64'), 'c-60': Value('float64'), 'c-61': Value('float64'), 'c-62': Value('float64'), 'c-63': Value('float64'), 'c-64': Value('float64'), 'c-65': Value('float64'), 'c-66': Value('float64'), 'c-67': Value('float64'), 'c-68': Value('float64'), 'c-69': Value('float64'), 'c-70': Value('float64'), 'c-71': Value('float64'), 'c-72': Value('float64'), 'c-73': Value('float64'), 'c-74': Value('float64'), 'c-75': Value('float64'), 'c-76': Value('float64'), 'c-77': Value('float64'), 'c-78': Value('float64'), 'c-79': Value('float64'), 'c-80': Value('float64'), 'c-81': Value('float64'), 'c-82': Value('float64'), 'c-83': Value('float64'), 'c-84': Value('float64'), 'c-85': Value('float64'), 'c-86': Value('float64'), 'c-87': Value('float64'), 'c-88': Value('float64'), 'c-89': Value('float64'), 'c-90': Value('float64'), 'c-91': Value('float64'), 'c-92': Value('float64'), 'c-93': Value('float64'), 'c-94': Value('float64'), 'c-95': Value('float64'), 'c-96': Value('float64'), 'c-97': Value('float64'), 'c-98': Value('float64'), 'c-99': Value('float64')}
              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 1895, 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 206 new columns ({'trpv_antagonist', 'jak_inhibitor', 'opioid_receptor_antagonist', 'antiarrhythmic', 'progesterone_receptor_agonist', 'glutamate_receptor_agonist', 'glutamate_receptor_antagonist', 'potassium_channel_activator', 'bcl_inhibitor', 'potassium_channel_antagonist', 'glucocorticoid_receptor_agonist', 'monoamine_oxidase_inhibitor', 'gamma_secretase_inhibitor', 'radiopaque_medium', 'vitamin_b', 'cytochrome_p450_inhibitor', 'norepinephrine_reuptake_inhibitor', 'acat_inhibitor', 'bacterial_dna_inhibitor', 'farnesyltransferase_inhibitor', 'atpase_inhibitor', 'nicotinic_receptor_agonist', 'aldehyde_dehydrogenase_inhibitor', 'laxative', 'bcr-abl_inhibitor', 'acetylcholine_receptor_antagonist', 'calcineurin_inhibitor', 'fungal_squalene_epoxidase_inhibitor', 'nitric_oxide_donor', 'histamine_receptor_agonist', 'kit_inhibitor', 'anesthetic_-_local', 'monopolar_spindle_1_kinase_inhibitor', 'benzodiazepine_receptor_agonist', 'immunosuppressant', 'apoptosis_stimulant', 'adenosine_receptor_agonist', 'vegfr_inhibitor', 'lipase_inhibitor', 'anticonvulsant', 'bromodomain_inhibitor', 'integrin_inhibitor', 'rna_polymerase_inhibitor', 'gaba_receptor_agonist', 'corticosteroid_agonist', 'leukotriene_receptor_antagonist', 'steroid', 'adenosine_receptor_antagonist', 'angiotensin_receptor_antagonist', 'tubulin_inhibitor', '11-beta-hsd1_inhibitor', 'pdgfr_inhibitor', 'akt_inhibitor', 'carbonic_anhydrase_inhibitor', 'angiogenesis_inhibitor', 'chloride_channel_blocker', 'cholesterol_inhibitor', 'atp-sensitive_
              ...
              _acid_receptor_agonist', 'tachykinin_antagonist', 'hmgcr_inhibitor', 'pdk_inhibitor', 'nfkb_inhibitor', 'p-glycoprotein_inhibitor', 'progesterone_receptor_antagonist', 'beta_amyloid_inhibitor', 'tlr_antagonist', 'retinoid_receptor_antagonist', 'antioxidant', 'autotaxin_inhibitor', 'histamine_receptor_antagonist', 'nitric_oxide_synthase_inhibitor', 'transient_receptor_potential_channel_antagonist', 'leukotriene_inhibitor', 'calcium_channel_blocker', 'lipoxygenase_inhibitor', 'antiviral', 'glutamate_inhibitor', 'serotonin_reuptake_inhibitor', 'antifungal', 'atm_kinase_inhibitor', 'antibiotic', 'thymidylate_synthase_inhibitor', 'ubiquitin_specific_protease_inhibitor', 'atr_kinase_inhibitor', 'faah_inhibitor', 'hdac_inhibitor', 'aurora_kinase_inhibitor', 'dihydrofolate_reductase_inhibitor', 'catechol_o_methyltransferase_inhibitor', 'tlr_agonist', 'neuropeptide_receptor_antagonist', 'atp_synthase_inhibitor', 'gonadotropin_receptor_agonist', 'gsk_inhibitor', 'insulin_sensitizer', 'sphingosine_receptor_agonist', 'src_inhibitor', 'chelating_agent', 'histone_lysine_methyltransferase_inhibitor', 'analgesic', 'parp_inhibitor', 'ikk_inhibitor', 'pi3k_inhibitor', 'protein_synthesis_inhibitor', 'estrogen_receptor_agonist', 'lxr_agonist', 'flt3_inhibitor', 'orexin_receptor_antagonist', 'bacterial_cell_wall_synthesis_inhibitor', 'aromatase_inhibitor', 'insulin_secretagogue', 'adenylyl_cyclase_activator', 'dna_alkylating_agent', 'bacterial_antifolate', 'mineralocorticoid_receptor_antagonist'}) and 875 missing columns ({'c-84', 'c-86', 'g-470', 'g-557', 'g-432', 'g-391', 'g-183', 'g-263', 'g-610', 'g-724', 'g-377', 'g-76', 'c-24', 'g-463', 'g-736', 'g-253', 'g-148', 'g-589', 'g-151', 'g-344', 'g-647', 'c-76', 'c-87', 'c-98', 'c-99', 'g-259', 'g-526', 'g-133', 'g-500', 'g-321', 'g-135', 'g-765', 'g-262', 'g-696', 'g-461', 'g-420', 'g-509', 'g-342', 'c-17', 'g-141', 'g-41', 'g-167', 'g-144', 'g-739', 'g-521', 'g-383', 'g-505', 'g-537', 'g-741', 'g-86', 'g-757', 'c-42', 'g-295', 'g-13', 'g-10', 'c-90', 'c-69', 'g-250', 'g-112', 'g-675', 'g-733', 'c-40', 'c-21', 'g-241', 'g-531', 'g-734', 'c-79', 'c-4', 'g-128', 'g-142', 'g-487', 'g-277', 'g-705', 'g-367', 'c-51', 'g-759', 'g-18', 'g-540', 'g-413', 'g-573', 'g-101', 'g-116', 'g-190', 'g-510', 'g-316', 'g-574', 'g-451', 'c-37', 'g-513', 'g-418', 'g-688', 'g-49', 'g-490', 'g-398', 'c-27', 'c-85', 'g-272', 'g-676', 'g-726', 'g-648', 'g-15', 'g-67', 'g-387', 'g-624', 'g-590', 'g-663', 'g-524', 'g-82', 'g-307', 'g-769', 'g-491', 'g-355', 'g-236', 'g-239', 'g-486', 'c-33', 'g-512', 'g-373', 'c-3', 'g-68', 'c-32', 'c-30', 'g-9', 'c-56', 'g-224', 'g-334', 'g-352', 'g-320', 'g-194', 'g-11', 'g-653', 'g-586', 'g-717', 'c-81', 'g-324', 'g-181', 'g-6', 'g-465', 'g-558', 'g-89', 'g-62', 'g-546', 'g-48', 'g-723', 'g-408', 'g-265', 'g-605', 'c-14', 'g-441', 'g-221', 'g-742', 'g-204', 'c-88', 'g-99', 'g-298', 'g-396', 'g-681', 'g-562', 'g-362', 'g-552', 'g-445', 'g-138', 'g-689', 'g-244', 'g-278', 'g-358', 'c-9', 'g-276', 'g-64', 'g-229', 'g-363', 'g-242', 'g-
              ...
              492', 'g-565', 'g-536', 'g-753', 'g-243', 'c-18', 'g-661', 'g-386', 'g-69', 'g-188', 'g-2', 'g-343', 'g-643', 'c-41', 'g-136', 'c-97', 'g-550', 'cp_dose', 'g-637', 'g-730', 'g-206', 'g-147', 'g-187', 'g-196', 'g-256', 'g-379', 'g-677', 'g-450', 'g-139', 'g-479', 'g-79', 'g-686', 'g-468', 'g-4', 'g-493', 'g-252', 'g-612', 'g-718', 'c-95', 'g-762', 'g-203', 'g-290', 'g-284', 'g-77', 'g-449', 'g-350', 'g-613', 'g-555', 'g-766', 'g-561', 'c-64', 'g-175', 'g-429', 'c-71', 'g-234', 'g-430', 'c-19', 'g-19', 'g-30', 'g-366', 'g-738', 'g-655', 'g-210', 'g-336', 'g-435', 'g-92', 'g-218', 'g-14', 'g-376', 'g-222', 'g-306', 'g-523', 'g-162', 'c-80', 'g-118', 'g-397', 'g-722', 'g-51', 'g-426', 'g-619', 'g-37', 'g-348', 'g-747', 'g-220', 'g-535', 'g-108', 'g-283', 'g-106', 'g-353', 'c-70', 'g-5', 'g-438', 'g-483', 'g-330', 'g-3', 'g-347', 'g-519', 'g-634', 'g-267', 'g-656', 'g-47', 'g-17', 'g-389', 'g-271', 'c-15', 'g-161', 'g-208', 'g-249', 'g-191', 'g-416', 'g-193', 'g-484', 'c-63', 'g-40', 'g-751', 'g-78', 'g-61', 'g-246', 'g-556', 'g-125', 'c-34', 'g-615', 'g-152', 'g-314', 'g-105', 'g-743', 'c-89', 'g-682', 'g-245', 'g-313', 'g-515', 'g-633', 'g-297', 'g-666', 'g-732', 'g-662', 'g-312', 'g-223', 'g-639', 'g-143', 'g-566', 'g-469', 'g-740', 'g-504', 'g-745', 'g-126', 'g-635', 'c-53', 'c-13', 'g-584', 'g-424', 'c-16', 'c-49', 'g-280', 'g-84', 'g-52', 'g-657', 'g-248', 'g-606', 'g-665', 'g-457', 'g-71', 'c-94', 'g-258', 'g-652', 'g-409', 'g-153', 'c-5', 'g-50', 'g-164', 'g-109', 'g-538'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/beaniscold/hive-moa-prediction/train_targets.csv (at revision 30f8ea4f712532cec61be0fd0015503ef6a9146f), [/tmp/hf-datasets-cache/medium/datasets/16581933444838-config-parquet-and-info-beaniscold-hive-moa-predi-6909c5ea/hub/datasets--beaniscold--hive-moa-prediction/snapshots/30f8ea4f712532cec61be0fd0015503ef6a9146f/train_features.csv (origin=hf://datasets/beaniscold/hive-moa-prediction@30f8ea4f712532cec61be0fd0015503ef6a9146f/train_features.csv), /tmp/hf-datasets-cache/medium/datasets/16581933444838-config-parquet-and-info-beaniscold-hive-moa-predi-6909c5ea/hub/datasets--beaniscold--hive-moa-prediction/snapshots/30f8ea4f712532cec61be0fd0015503ef6a9146f/train_targets.csv (origin=hf://datasets/beaniscold/hive-moa-prediction@30f8ea4f712532cec61be0fd0015503ef6a9146f/train_targets.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.

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cp_type
string
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int64
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0.6505
1.593
-0.3636
1.575
0.2497
-0.0607
0.6682
0.3853
-0.4824
-0.5237
1.268
0.7279
1.038
0.8881
0.2515
0.6691
-0.3723
0.3329
-0.1692
0.8631
0.3997
-0.9025
0.833
0.4269
-0.2015
1.14
1.482
0.6093
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