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/DGurgurov/conceptnet_all@4968f9546d35964a2cd55268bfa568e8ad74ffeb/cn_relations_clean.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['ab', 'adx', 'ae', 'af', 'ang', 'ar', 'arc', 'arn', 'ast', 'av', 'az', 'ba', 'bal', 'be', 'bg', 'bm', 'bn', 'bo', 'br', 'ca', 'ce', 'ceb', 'chk', 'cim', 'cop', 'crh', 'cs', 'csb', 'cu', 'cy', 'da', 'de', 'dsb', 'ee', 'egl', 'egx', 'egy', 'el', 'en', 'enm', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fil', 'fj', 'fo', 'fr', 'frm', 'fro', 'frp', 'frr', 'fur', 'fy', 'ga', 'gag', 'gd', 'gl', 'gml', 'got', 'grc', 'gu', 'gv', 'haw', 'hbo', 'he', 'hi', 'hil', 'hsb', 'ht', 'hu', 'hy', 'ia', 'io', 'is', 'ist', 'it', 'iu', 'ja', 'ka', 'khb', 'ki', 'kjh', 'kk', 'kl', 'km', 'ko', 'koy', 'ku', 'kw', 'ky', 'la', 'lad', 'lb', 'li', 'lij', 'lld', 'lmo', 'ln', 'lo', 'lt', 'lv', 'mdf', 'mg', 'mga', 'mi', 'mk', 'mn', 'ms', 'mt', 'mul', 'mwl', 'my', 'myv', 'nap', 'nci', 'nds', 'nl', 'no', 'nog', 'non', 'nov', 'nrf', 'nv', 'oc', 'oge', 'osp', 'ota', 'pal', 'pcd', 'pi', 'pjt', 'pl', 'ppl', 'pro', 'ps', 'pt', 'rm', 'ro', 'roa-opt', 'rom', 'ru', 'rue', 'rup', 'rw', 'sa', 'scn', 'sco', 'se', 'ses', 'sga', 'sh', 'sk', 'sl', 'sm', 'so', 'sq', 'stq', 'su', 'sv', 'sw', 'swb', 'syc', 'szl', 'ta', 'te', 'tg', 'th', 'tk', 'tpi', 'tpw', 'tr', 'tt', 'ty', 'tyv', 'ug', 'uk', 'ur', 'uz', 'vec', 'vep', 'vi', 'vo', 'vot', 'wa', 'wau', 'wo', 'wym', 'xcl', 'yi', 'yua', 'za', 'zh', 'zza', 'abe', 'ady', 'ain', 'akk', 'akz', 'alt', 'an', 'axm', 'ccc', 'ch', 'chl', 'cho', 'chr', 'cic', 'cjs', 'cv', 'dlm', 'dum', 'esu', 'ff', 'gmh', 'gn', 'goh', 'gsw', 'ha', 'hit', 'ie', 'ii', 'ilo', 'jv', 'kbd', 'kn', 'krl', 'liv', 'lkt', 'ltg', 'lzz', 'mch', 'mh', 'ml', 'mr', 'na', 'nah', 'nan', 'ne', 'nhn', 'nmn', 'odt', 'ofs', 'oj', 'or', 'orv', 'os', 'osx', 'pa', 'pap', 'peo', 'pms', 'qu', 'raj', 'rap', 'sah', 'sc', 'sd', 'si', 'smn', 'sms', 'srn', 'sux', 'tet', 'twf', 'txb', 'uga', 'war', 'xh', 'xmf', 'xpr', 'xwo', 'yo', 'zu', 'co', 'prg', 'aii', 'am', 'bi', 'dv', 'kim', 'krc', 'kum', 'ti', 'udm', 'xto', 'zdj', 'dak', 'frk', 'oma', 'shh', 'aa', 'dje', 'hke', 'qya', 'st', 'wae', 'xno', 'dua', 'fon', 'hak', 'jbo']. 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.py", line 241, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, 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 1239, 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 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, 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 170, in _generate_tables
                  raise ValueError(
              ValueError: Not able to read records in the JSON file at hf://datasets/DGurgurov/conceptnet_all@4968f9546d35964a2cd55268bfa568e8ad74ffeb/cn_relations_clean.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['ab', 'adx', 'ae', 'af', 'ang', 'ar', 'arc', 'arn', 'ast', 'av', 'az', 'ba', 'bal', 'be', 'bg', 'bm', 'bn', 'bo', 'br', 'ca', 'ce', 'ceb', 'chk', 'cim', 'cop', 'crh', 'cs', 'csb', 'cu', 'cy', 'da', 'de', 'dsb', 'ee', 'egl', 'egx', 'egy', 'el', 'en', 'enm', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fil', 'fj', 'fo', 'fr', 'frm', 'fro', 'frp', 'frr', 'fur', 'fy', 'ga', 'gag', 'gd', 'gl', 'gml', 'got', 'grc', 'gu', 'gv', 'haw', 'hbo', 'he', 'hi', 'hil', 'hsb', 'ht', 'hu', 'hy', 'ia', 'io', 'is', 'ist', 'it', 'iu', 'ja', 'ka', 'khb', 'ki', 'kjh', 'kk', 'kl', 'km', 'ko', 'koy', 'ku', 'kw', 'ky', 'la', 'lad', 'lb', 'li', 'lij', 'lld', 'lmo', 'ln', 'lo', 'lt', 'lv', 'mdf', 'mg', 'mga', 'mi', 'mk', 'mn', 'ms', 'mt', 'mul', 'mwl', 'my', 'myv', 'nap', 'nci', 'nds', 'nl', 'no', 'nog', 'non', 'nov', 'nrf', 'nv', 'oc', 'oge', 'osp', 'ota', 'pal', 'pcd', 'pi', 'pjt', 'pl', 'ppl', 'pro', 'ps', 'pt', 'rm', 'ro', 'roa-opt', 'rom', 'ru', 'rue', 'rup', 'rw', 'sa', 'scn', 'sco', 'se', 'ses', 'sga', 'sh', 'sk', 'sl', 'sm', 'so', 'sq', 'stq', 'su', 'sv', 'sw', 'swb', 'syc', 'szl', 'ta', 'te', 'tg', 'th', 'tk', 'tpi', 'tpw', 'tr', 'tt', 'ty', 'tyv', 'ug', 'uk', 'ur', 'uz', 'vec', 'vep', 'vi', 'vo', 'vot', 'wa', 'wau', 'wo', 'wym', 'xcl', 'yi', 'yua', 'za', 'zh', 'zza', 'abe', 'ady', 'ain', 'akk', 'akz', 'alt', 'an', 'axm', 'ccc', 'ch', 'chl', 'cho', 'chr', 'cic', 'cjs', 'cv', 'dlm', 'dum', 'esu', 'ff', 'gmh', 'gn', 'goh', 'gsw', 'ha', 'hit', 'ie', 'ii', 'ilo', 'jv', 'kbd', 'kn', 'krl', 'liv', 'lkt', 'ltg', 'lzz', 'mch', 'mh', 'ml', 'mr', 'na', 'nah', 'nan', 'ne', 'nhn', 'nmn', 'odt', 'ofs', 'oj', 'or', 'orv', 'os', 'osx', 'pa', 'pap', 'peo', 'pms', 'qu', 'raj', 'rap', 'sah', 'sc', 'sd', 'si', 'smn', 'sms', 'srn', 'sux', 'tet', 'twf', 'txb', 'uga', 'war', 'xh', 'xmf', 'xpr', 'xwo', 'yo', 'zu', 'co', 'prg', 'aii', 'am', 'bi', 'dv', 'kim', 'krc', 'kum', 'ti', 'udm', 'xto', 'zdj', 'dak', 'frk', 'oma', 'shh', 'aa', 'dje', 'hke', 'qya', 'st', 'wae', 'xno', 'dua', 'fon', 'hak', 'jbo']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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