The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/cambridgeltl/posqa@07421d1948951fd4ff84e85bb497fa77e9acf686/posqa.json. You should probably indicate the field of the JSON file containing your records. 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'36_75_0', '36_75_1', '93_47_0', '93_47_1', '73_38_0', '73_38_1', '37_19_0', '37_19_1', '71_92_0', '71_92_1', '61_82_0', '61_82_1', '94_20_0', '94_20_1', '5_91_0', '5_91_1', '42_25_0', '42_25_1', '22_24_0', '22_24_1', '45_47_0', '45_47_1', '23_73_0', '23_73_1', '91_74_0', '91_74_1', '1_49_0', '1_49_1', '43_83_0', '43_83_1', '44_80_0', '44_80_1', '18_7_0', '18_7_1', '84_37_0', '84_37_1', '23_48_0', '23_48_1', '3_62_0', '3_62_1', '93_69_0', '93_69_1', '68_90_0', '68_90_1', '76_57_0', '76_57_1', '87_30_0', '87_30_1', '48_93_0', '48_93_1', '20_46_0', '20_46_1', '52_55_0', '52_55_1', '22_76_0', '22_76_1', '13_10_0', '13_10_1', '88_68_0', '88_68_1', '47_86_0', '47_86_1', '82_23_0', '82_23_1', '21_76_0', '21_76_1', '5_81_0', '5_81_1', '89_39_0', '89_39_1', '75_68_0', '75_68_1', '38_55_0', '38_55_1', '73_78_0', '73_78_1', '86_86_0', '86_86_1', '86_71_0', '86_71_1', '63_94_0', '63_94_1', '10_69_0', '10_69_1', '28_57_0', '28_57_1', '64_67_0', '64_67_1', '19_42_0', '19_42_1', '41_3_0', '41_3_1', '66_26_0', '66_26_1', '93_57_0', '93_57_1', '19_39_0', '19_39_1', '78_49_0', '78_49_1', '93_76_0', '93_76_1', '25_17_0', '25_17_1', '90_45_0', '90_45_1', '80_56_0', '80_56_1', '58_101_0', '58_101_1', '10_33_0', '10_33_1', '4_93_0', '4_93_1', '23_45_0', '23_45_1', '39_4_0', '39_4_1', '40_14_0', '40_14_1', '55_34_0', '55_34_1', '67_17_0', '67_17_1', '49_68_0', '49_68_1', '36_92_0', '36_92_1', '24_35_0', '24_35_1', '54_82_0', '54_82_1', '39_85_0', '39_85_1', '101_71_0', '101_71_1', '74_34_0', '74_34_1', '101_57_0', '101_57_1', '40_9_0', '40_9_1', '101_91_0', '101_91_1', '4_33_0', '4_33_1', '79_62_0', '79_62_1', '15_3_0', '15_3_1', '57_72_0', '57_72_1', '26_87_0', '26_87_1', '63_12_0', '63_12_1', '44_39_0', '44_39_1', '77_4_0', '77_4_1', '62_5_0', '62_5_1', '30_18_0', '30_18_1', '69_61_0', '69_61_1', '22_49_0', '22_49_1', '24_29_0', '24_29_1', '35_66_0', '35_66_1', '69_58_0', '69_58_1', '51_38_0', '51_38_1', '69_10_0', '69_10_1', '45_81_0', '45_81_1', '101_78_0', '101_78_1', '41_84_0', '41_84_1', '23_36_0', '23_36_1', '86_46_0', '86_46_1', '3_41_0', '3_41_1', '81_34_0', '81_34_1', '55_8_0', '55_8_1', '100_49_0', '100_49_1', '48_78_0', '48_78_1', '94_38_0', '94_38_1', '21_80_0', '21_80_1', '25_27_0', '25_27_1', '62_73_0', '62_73_1', '89_80_0', '89_80_1', '36_72_0', '36_72_1', '10_8_0', '10_8_1', '8_63_0', '8_63_1', '70_79_0', '70_79_1', '4_57_0', '4_57_1', '74_26_0', '74_26_1', '49_72_0', '49_72_1', '75_39_0', '75_39_1', '38_39_0', '38_39_1', '4_88_0', '4_88_1', '65_20_0', '65_20_1', '37_70_0', '37_70_1', '49_91_0', '49_91_1', '67_41_0', '67_41_1', '19_53_0', '19_53_1', '15_18_0', '15_18_1', '63_46_0', '63_46_1', '20_19_0', '20_19_1', '92_80_0', '92_80_1', '68_75_0', '68_75_1', '7_62_0', '7_62_1', '35_57_0', '35_57_1', '70_61_0', '70_61_1', '68_73_0', '68_73_1', '20_80_0', '20_80_1', '1_79_0', '1_79_1', '48_82_0', '48_82_1', '82_89_0', '82_89_1', '37_77_0', '37_77_1', '69_18_0', '69_18_1', '70_37_0', '70_37_1', '56_92_0', '56_92_1', '26_67_0', '26_67_1', '33_37_0', '33_37_1', '14_82_0', '14_82_1', '26_56_0', '26_56_1', '10_41_0', '10_41_1', '93_12_0', '93_12_1', '24_34_0', '24_34_1', '22_19_0', '22_19_1', '78_2_0', '78_2_1', '5_4_0', '5_4_1', '24_18_0', '24_18_1', '84_70_0', '84_70_1', '4_1_0', '4_1_1', '17_11_0', '17_11_1', '22_54_0', '22_54_1', '49_25_0', '49_25_1', '62_81_0', '62_81_1', '51_87_0', '51_87_1', '13_42_0', '13_42_1', '18_87_0', '18_87_1', '84_7_0', '84_7_1', '71_6_0', '71_6_1', '14_68_0', '14_68_1']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py", line 132, in compute_first_rows_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2211, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1235, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1384, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1040, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 161, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/cambridgeltl/posqa@07421d1948951fd4ff84e85bb497fa77e9acf686/posqa.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['82_2_0', '82_2_1', '67_28_0', '67_28_1', '47_49_0', '47_49_1', '57_14_0', '57_14_1', '69_9_0', '69_9_1', '76_75_0', '76_75_1', '1_38_0', '1_38_1', '72_10_0', '72_10_1', '48_31_0', '48_31_1', '10_66_0', '10_66_1', '82_44_0', '82_44_1', '22_81_0', '22_81_1', '35_14_0', '35_14_1', '78_42_0', '78_42_1', '52_23_0', '52_23_1', '56_28_0', '56_28_1', '41_81_0', '41_81_1', '73_27_0', '73_27_1', '26_59_0', '26_59_1', '63_26_0', '63_26_1', '94_63_0', '94_63_1', '7_1_0', '7_1_1', '52_30_0', '52_30_1', '15_64_0', '15_64_1', '31_37_0', '31_37_1', '68_84_0', '68_84_1', '44_69_0', '44_69_1', '15_4_0', '15_4_1', '22_61_0', '22_61_1', '17_10_0', '17_10_1', '27_6_0', '27_6_1', '6_79_0', '6_79_1', '41_8_0', '41_8_1', '48_56_0', '48_56_1', '30_85_0', '30_85_1', '39_48_0', '39_48_1', '67_73_0', '67_73_1', '74_25_0', '74_25_1', '31_101_0', '31_101_1', '83_49_0', '83_49_1', '27_83_0', '27_83_1', '31_10_0', '31_10_1', '79_94_0', '79_94_1', '33_70_0', '33_70_1', '14_54_0', '14_54_1', '62_24_0', '62_24_1', '24_78_0', '24_78_1', '9_28_0', '9_28_1', '64_18_0', '64_18_1', '3_34_0', '3_34_1', '47_40_0', '47_40_1', '22_92_0', '22_92_1', '54_57_0', '54_57_1', '63_47_0', '63_47_1', '78_67_0', '78_67_1', '86_23_0', '86_23_1', '49_8_0', '49_8_1', '46_38_0', '46_38_1', '29_61_0', '29_61_1', '45_25_0', '45_25_1', '76_87_0', '76_87_1', '12_10_0', '12_10_1', '100_59_0', '100_59_1', '67_10_0', '67_10_1', '77_69_0', '77_69_1', '68_26_0', '68_26_1', '30_33_0', '30_33_1', '11_40_0', '11_40_1', '52_44_0', '52_44_1', '45_75_0', '45_75_1', '22_83_0', '22_83_1', '53_12_0', '53_12_1', '27_88_0', '27_88_1', '23_41_0', '23_41_1', '3_15_0', '3_15_1', '81_82_0', '81_82_1', '40_83_0', '40_83_1', '62_77_0', '62_77_1', '17_58_0', '17_58_1', '46_79_0', '46_79_1', '56_77_0', '56_77_1', '7_33_0', '7_33_1', '2_70_0', '2_70_1', '41_90_0', '41_90_1', '26_75_0', '26_75_1', '58_33_0', '58_33_1', '45_19_0', '45_19_1', '68_33_0', '68_33_1', '31_62_0', '31_62_1', '7_69_0', '7_69_1', '31_30_0', '31_30_1', '86_19_0', '86_19_1', '76_67_0', '76_67_1', '63_56_0', '63_56_1', '30_34_0', '30_34_1', '78_14_0', '78_14_1', '2_36_0', '2_36_1', '69_79_0', '69_79_1', '30_5_0', '30_5_1', '4_65_0', '4_65_1', '61_53_0', '61_53_1', '76_22_0', '76_22_1', '94_88_0', '94_88_1', '27_44_0', '27_44_1', '58_65_0', '58_65_1', '17_80_0', '17_80_1', '45_94_0', '45_94_1', '75_64_0', '75_64_1', '101_19_0', '101_19_1', '12_77_0', '12_77_1', '56_41_0', '56_41_1', '14_78_0', '14_78_1', '17_45_0', '17_45_1', '23_4_0', '23_4_1', '64_85_0', '64_85_1', '17_38_0', '17_38_1', '2_73_0', '2_73_1', '63_78_0', '63_78_1', '53_94_0', '53_94_1', '52_92_0', '52_92_1', '66_52_0', '66_52_1', '49_73_0', '49_73_1', '35_35_0', '35_35_1', '54_86_0', '54_86_1', '83_46_0', '83_46_1', '76_41_0', '76_41_1', '70_91_0', '70_91_1', '6_82_0', '6_82_1', '15_83_0', '15_83_1', '8_85_0', '8_85_1', '28_37_0', '28_37_1', '44_55_0', '44_55_1', '34_33_0', '34_33_1', '20_55_0', '20_55_1', '7_91_0', '7_91_1', '17_3_0', '17_3_1', '81_20_0', '81_20_1', '56_86_0', '56_86_1', '100_33_0', '100_33_1', '90_91_0', '90_91_1', '59_28_0', '59_28_1', '48_69_0', '48_69_1', '19_74_0', '19_74_1', '63_37_0', '63_37_1', '67_14_0', '67_14_1', '67_11_0', '67_11_1', '72_85_0', '72_85_1', '91_69_0', '91_69_1', '61_83_0', '61_83_1', '39_83_0', '39_83_1', '42_23_0', '42_23_1', '69_6_0', '69_6_1', '17_40_0', '17_40_1', '75_24_0', '75_24_1', '59_84_0', '59_84_1', '85_73_0', '85_73_1', '86_34_0', '86_34_1', '53_88_0', '53_88_1', '43_49_0', '43_49_1', '2_88_0', '2_88_1', '45_43_0', '45_43_1', '57_36_0', '57_36_1', '30_28_0', '30_28_1', '9_82_0', '9_82_1', '7_26_0', '7_26_1', '18_23_0', '18_23_1', '41_83_0', '41_83_1', '84_75_0', '84_75_1', '26_35_0', '26_35_1', '33_72_0', '33_72_1', '36_100_0', '36_100_1', '80_49_0', '80_49_1', '41_53_0', '41_53_1', '100_90_0', '100_90_1', '90_5_0', '90_5_1', '27_90_0', '27_90_1', '2_40_0', '2_40_1', '37_22_0', '37_22_1', '9_13_0', '9_13_1', '72_40_0', '72_40_1', '93_67_0', '93_67_1', '21_74_0', 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'75_27_0', '75_27_1', '41_9_0', '41_9_1', '14_49_0', '14_49_1', '82_52_0', '82_52_1', '88_42_0', '88_42_1', '54_55_0', '54_55_1', '75_89_0', '75_89_1', '42_6_0', '42_6_1', '42_91_0', '42_91_1', '86_81_0', '86_81_1', '57_1_0', '57_1_1', '87_59_0', '87_59_1', '18_10_0', '18_10_1', '46_84_0', '46_84_1', '47_79_0', '47_79_1', '66_78_0', '66_78_1', '9_14_0', '9_14_1', '42_9_0', '42_9_1', '71_89_0', '71_89_1', '48_45_0', '48_45_1', '15_81_0', '15_81_1', '69_31_0', '69_31_1', '7_20_0', '7_20_1', '94_6_0', '94_6_1', '43_87_0', '43_87_1', '53_83_0', '53_83_1', '62_27_0', '62_27_1', '40_93_0', '40_93_1', '4_91_0', '4_91_1', '72_31_0', '72_31_1', '26_64_0', '26_64_1', '37_62_0', '37_62_1', '21_9_0', '21_9_1', '101_72_0', '101_72_1', '68_86_0', '68_86_1', '61_25_0', '61_25_1', '47_65_0', '47_65_1', '52_3_0', '52_3_1', '35_73_0', '35_73_1', '17_94_0', '17_94_1', '61_44_0', '61_44_1', '12_72_0', '12_72_1', '81_88_0', '81_88_1', '88_77_0', '88_77_1', '3_100_0', '3_100_1', '27_34_0', '27_34_1', '6_77_0', '6_77_1', '74_52_0', '74_52_1', '26_62_0', '26_62_1', '68_52_0', '68_52_1', '69_45_0', '69_45_1', '51_73_0', '51_73_1', '101_81_0', '101_81_1', '22_86_0', '22_86_1', '80_48_0', '80_48_1', '14_71_0', '14_71_1', '33_52_0', '33_52_1', '79_26_0', '79_26_1', '6_29_0', '6_29_1', '76_24_0', '76_24_1', '30_68_0', '30_68_1', '77_15_0', '77_15_1', '34_62_0', '34_62_1', '17_49_0', '17_49_1', '69_4_0', '69_4_1', '87_20_0', '87_20_1', '69_65_0', '69_65_1', '30_12_0', '30_12_1', '23_71_0', '23_71_1', '77_57_0', '77_57_1', '20_76_0', '20_76_1', '74_13_0', '74_13_1', '23_23_0', '23_23_1', '55_93_0', '55_93_1', '66_81_0', '66_81_1', '89_82_0', '89_82_1', '35_28_0', '35_28_1', '55_48_0', '55_48_1', '65_79_0', '65_79_1', '69_19_0', '69_19_1', '84_11_0', '84_11_1', '19_8_0', '19_8_1', '12_84_0', '12_84_1', '41_10_0', '41_10_1', '17_12_0', '17_12_1', '47_21_0', '47_21_1', '73_91_0', '73_91_1', '86_69_0', '86_69_1', '8_82_0', '8_82_1', '46_10_0', '46_10_1', '72_73_0', '72_73_1', '101_47_0', 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'36_75_0', '36_75_1', '93_47_0', '93_47_1', '73_38_0', '73_38_1', '37_19_0', '37_19_1', '71_92_0', '71_92_1', '61_82_0', '61_82_1', '94_20_0', '94_20_1', '5_91_0', '5_91_1', '42_25_0', '42_25_1', '22_24_0', '22_24_1', '45_47_0', '45_47_1', '23_73_0', '23_73_1', '91_74_0', '91_74_1', '1_49_0', '1_49_1', '43_83_0', '43_83_1', '44_80_0', '44_80_1', '18_7_0', '18_7_1', '84_37_0', '84_37_1', '23_48_0', '23_48_1', '3_62_0', '3_62_1', '93_69_0', '93_69_1', '68_90_0', '68_90_1', '76_57_0', '76_57_1', '87_30_0', '87_30_1', '48_93_0', '48_93_1', '20_46_0', '20_46_1', '52_55_0', '52_55_1', '22_76_0', '22_76_1', '13_10_0', '13_10_1', '88_68_0', '88_68_1', '47_86_0', '47_86_1', '82_23_0', '82_23_1', '21_76_0', '21_76_1', '5_81_0', '5_81_1', '89_39_0', '89_39_1', '75_68_0', '75_68_1', '38_55_0', '38_55_1', '73_78_0', '73_78_1', '86_86_0', '86_86_1', '86_71_0', '86_71_1', '63_94_0', '63_94_1', '10_69_0', '10_69_1', '28_57_0', '28_57_1', '64_67_0', '64_67_1', '19_42_0', '19_42_1', '41_3_0', '41_3_1', 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'41_84_1', '23_36_0', '23_36_1', '86_46_0', '86_46_1', '3_41_0', '3_41_1', '81_34_0', '81_34_1', '55_8_0', '55_8_1', '100_49_0', '100_49_1', '48_78_0', '48_78_1', '94_38_0', '94_38_1', '21_80_0', '21_80_1', '25_27_0', '25_27_1', '62_73_0', '62_73_1', '89_80_0', '89_80_1', '36_72_0', '36_72_1', '10_8_0', '10_8_1', '8_63_0', '8_63_1', '70_79_0', '70_79_1', '4_57_0', '4_57_1', '74_26_0', '74_26_1', '49_72_0', '49_72_1', '75_39_0', '75_39_1', '38_39_0', '38_39_1', '4_88_0', '4_88_1', '65_20_0', '65_20_1', '37_70_0', '37_70_1', '49_91_0', '49_91_1', '67_41_0', '67_41_1', '19_53_0', '19_53_1', '15_18_0', '15_18_1', '63_46_0', '63_46_1', '20_19_0', '20_19_1', '92_80_0', '92_80_1', '68_75_0', '68_75_1', '7_62_0', '7_62_1', '35_57_0', '35_57_1', '70_61_0', '70_61_1', '68_73_0', '68_73_1', '20_80_0', '20_80_1', '1_79_0', '1_79_1', '48_82_0', '48_82_1', '82_89_0', '82_89_1', '37_77_0', '37_77_1', '69_18_0', '69_18_1', '70_37_0', '70_37_1', '56_92_0', '56_92_1', '26_67_0', '26_67_1', '33_37_0', '33_37_1', '14_82_0', '14_82_1', '26_56_0', '26_56_1', '10_41_0', '10_41_1', '93_12_0', '93_12_1', '24_34_0', '24_34_1', '22_19_0', '22_19_1', '78_2_0', '78_2_1', '5_4_0', '5_4_1', '24_18_0', '24_18_1', '84_70_0', '84_70_1', '4_1_0', '4_1_1', '17_11_0', '17_11_1', '22_54_0', '22_54_1', '49_25_0', '49_25_1', '62_81_0', '62_81_1', '51_87_0', '51_87_1', '13_42_0', '13_42_1', '18_87_0', '18_87_1', '84_7_0', '84_7_1', '71_6_0', '71_6_1', '14_68_0', '14_68_1']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Open a discussion for direct support.
This dataset is based on our publication POSQA: Probe the World Models of LLMs with Size Comparisons (PDF).
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