KaiChen1998/geodiffusion-coco-stuff-512x512
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Error code: FeaturesError Exception: ValueError Message: Not able to read records in the JSON file at hf://datasets/KaiChen1998/coco-stuff-geodiffusion@5083c29f1bd167a57cd5b3b20199317fea4f590c/train/instances_stuff_train2017.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['categories', 'images', 'annotations', 'licenses']. 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/KaiChen1998/coco-stuff-geodiffusion@5083c29f1bd167a57cd5b3b20199317fea4f590c/train/instances_stuff_train2017.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['categories', 'images', 'annotations', 'licenses']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
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COCO-Stuff-GeoDiffusion is the official dataset annotation file used to train GeoDiffusion on the COCO-Stuff dataset. We follow the official implementations of LAMA, while saving the merged results of COCO-instance and COCO-Stuff datasets within a single file of standard COCO format. Check detailed usage in our Github repo.