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xzq1999
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prs-env

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in xzq1999/prs-env
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 72, 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 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in xzq1999/prs-env

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Polar Research Station (PRS) Environment

In light of our conceptualization of robotic service, and in order to better simulate comprehensive application scenarios, we have developed the Polar Research Station (PRS), a three-story building containing different rooms in Figure \ref{app-scenes}, providing (1) a PhysX-supported physical environment, (2) autonomous characters for performing human behaviors, (3) robots with perception sensors and interaction abilities, (4) interactive objects and devices with continuous state changes, and (5) available API for LLMs and LMMs. PRS has rich scenes that are close to the real world. The PRS rendering engine utilizes Unity and offers a diverse range of Python APIs. The resource is user-friendly (Python-only) and can even run without a GPU.

Python code and API Guidance for PRS Challenge

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