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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 46, in _split_generators self.info.features = datasets.Features.from_arrow_schema(pa.ipc.open_stream(f).schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/ipc.py", line 190, in open_stream return RecordBatchStreamReader(source, options=options, File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/ipc.py", line 52, in __init__ self._open(source, options=options, memory_pool=memory_pool) File "pyarrow/ipc.pxi", line 974, in pyarrow.lib._RecordBatchStreamReader._open File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Expected to read 1330795073 metadata bytes, but only read 547357470 The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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This dataset contains 1 billion observation-action pairs to clone the behavior of LaCAM approach to solve MAPF problem via transformer (GPT) model.
Dataset Details
- Curated by: Anton Andreychuk (@aandreychuk), Alexey Skrynnik (@tviskaron)
- License: MIT
- Repository: GitHub
- Model: MAPF-GPT
- Paper: ArXiv
Dataset Structure
Dataset contains train
and validation
parts.
train
part contains 1,000 * 2^20 obsevation-action pairs. They are divided into 500.arrow
files.validation
part contains 2^20 observation-action pairs. They are saved into a single.arrow
file. Dataset requires 256 GB of disk space.
More details about creation of the dataset, the source data, the structure of observation, etc. are provided in the paper
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