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 zip://metadata.json::hf://datasets/Shinwoo072/Tao@7d5860dd70e44952f561a088290816e38b9aed36/Tao - Model.zip. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['title', 'md5', 'uploadedAt', 'type', 'tags', 'description', 'samples', 'files', 'torchMetadata', 'url', 'epochs']. 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 zip://metadata.json::hf://datasets/Shinwoo072/Tao@7d5860dd70e44952f561a088290816e38b9aed36/Tao - Model.zip. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['title', 'md5', 'uploadedAt', 'type', 'tags', 'description', 'samples', 'files', 'torchMetadata', 'url', 'epochs']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
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.