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Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ImportError
Message: To be able to use wadhwani-ai/pest-management-opendata, you need to install the following dependency: shapely.
Please install it using 'pip install shapely' for instance.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1914, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1880, in dataset_module_factory
return HubDatasetModuleFactoryWithScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1504, in get_module
local_imports = _download_additional_modules(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 354, in _download_additional_modules
raise ImportError(
ImportError: To be able to use wadhwani-ai/pest-management-opendata, you need to install the following dependency: shapely.
Please install it using 'pip install shapely' for instance.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.
Wadhwani AI Pest Management Open Data
This dataset is a Hugging Face adaptor to the official dataset hosted on Github. Please refer to that repository for detailed and up-to-date documentation.
Usage
This dataset is large. It is strongly recommended users access it as a stream:
from datasets import load_dataset
dataset = load_dataset('wadhwani-ai/pest-management-opendata', streaming=True)
Bounding boxes are stored as geospatial types. Once loaded, they can be read as follows:
from shapely.wkb import loads
for (s, data) in dataset.items():
for d in data:
pests = d['pests']
iterable = map(pests.get, ('label', 'geometry'))
for (i, j) in zip(*iterable):
geom = loads(j)
print(i, geom.bounds)
The bounds of a geometry are what most object detection systems require. See the Shapely documentation for more.
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