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hahunavth
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NP-video-raw

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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/hahunavth/NP-video-raw@1e4af5441255edc83f2fbfc921a5263136ee5ac5/TEST/output/1_extracted/frames_face_recogn_result/TTMV_TAP_26.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['0023s', '0060s', '0072s', '0089s', '0125s', '0028s', '0075s', '0010s', '0059s', '0022s', '0131s', '0008s', '0003s', '0043s', '0112s', '0086s', '0063s', '0127s', '0094s', '0040s', '0081s', '0062s', '0073s', '0041s', '0036s', '0005s', '0130s', '0091s', '0124s', '0104s', '0078s', '0083s', '0069s', '0053s', '0082s', '0121s', '0056s', '0123s', '0031s', '0092s', '0049s', '0018s', '0002s', '0030s', '0110s', '0088s', '0077s', '0009s', '0055s', '0004s', '0066s', '0044s', '0097s', '0087s', '0085s', '0052s', '0051s', '0080s', '0090s', '0132s', '0017s', '0071s', '0067s', '0047s', '0093s', '0107s', '0065s', '0113s', '0133s', '0076s', '0111s', '0126s', '0103s', '0119s', '0095s', '0100s', '0122s', '0064s', '0012s', '0116s', '0099s', '0029s', '0108s', '0026s', '0045s', '0114s', '0038s', '0042s', '0048s', '0118s', '0050s', '0109s', '0102s', '0021s', '0037s', '0015s', '0058s', '0016s', '0019s', '0039s', '0117s', '0020s', '0034s', '0074s', '0011s', '0027s', '0013s', '0105s', '0129s', '0006s', '0098s', '0033s', '0084s', '0007s', '0014s', '0032s', '0001s', '0068s', '0046s', '0061s', '0106s', '0070s', '0035s', '0057s', '0096s', '0120s', '0079s', '0101s', '0024s', '0054s', '0115s', '0025s', '0128s']. 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 240, 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/hahunavth/NP-video-raw@1e4af5441255edc83f2fbfc921a5263136ee5ac5/TEST/output/1_extracted/frames_face_recogn_result/TTMV_TAP_26.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['0023s', '0060s', '0072s', '0089s', '0125s', '0028s', '0075s', '0010s', '0059s', '0022s', '0131s', '0008s', '0003s', '0043s', '0112s', '0086s', '0063s', '0127s', '0094s', '0040s', '0081s', '0062s', '0073s', '0041s', '0036s', '0005s', '0130s', '0091s', '0124s', '0104s', '0078s', '0083s', '0069s', '0053s', '0082s', '0121s', '0056s', '0123s', '0031s', '0092s', '0049s', '0018s', '0002s', '0030s', '0110s', '0088s', '0077s', '0009s', '0055s', '0004s', '0066s', '0044s', '0097s', '0087s', '0085s', '0052s', '0051s', '0080s', '0090s', '0132s', '0017s', '0071s', '0067s', '0047s', '0093s', '0107s', '0065s', '0113s', '0133s', '0076s', '0111s', '0126s', '0103s', '0119s', '0095s', '0100s', '0122s', '0064s', '0012s', '0116s', '0099s', '0029s', '0108s', '0026s', '0045s', '0114s', '0038s', '0042s', '0048s', '0118s', '0050s', '0109s', '0102s', '0021s', '0037s', '0015s', '0058s', '0016s', '0019s', '0039s', '0117s', '0020s', '0034s', '0074s', '0011s', '0027s', '0013s', '0105s', '0129s', '0006s', '0098s', '0033s', '0084s', '0007s', '0014s', '0032s', '0001s', '0068s', '0046s', '0061s', '0106s', '0070s', '0035s', '0057s', '0096s', '0120s', '0079s', '0101s', '0024s', '0054s', '0115s', '0025s', '0128s']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.

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