Dataset Viewer
The dataset viewer is not available for this subset.
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/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/inspect.py", line 294, 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.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.
The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
This dataset contains our raw experimental data (ie. agent trajectories) accompanying the paper "The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management" and Tobias Lindenbauer's Master's thesis.
The data in this repository are compressed to .tar.gz archives. For detailed instructions on how to use these data please refer to our code repository on Github.
If you used these data in your research, or it helped you form a hypothesis, please cite us:
@misc{lindenbauer2025complexitytrapsimpleobservation,
title={The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management},
author={Tobias Lindenbauer and Igor Slinko and Ludwig Felder and Egor Bogomolov and Yaroslav Zharov},
year={2025},
eprint={2508.21433},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2508.21433},
}
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