The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.
ioc-eval-labs
Applications, datasets and experiments for evaluating the Cognition Protocols (ACCORD and CONCORD) on MAS Lab.
library-ioc-eval/ the baseline MAS apps and their datasets, a MAS Lab manifest library
apps/sre-triage/ incident triage (v1, v2) and the 27-incident dataset
apps/e-commerce/ promotional sourcing negotiation
apps/renewal-discount/ renewal discount negotiation
apps/hidden-profile/ hidden-profile tasks
labs/cognitive-protocols/ the experiments
<app>-experiments.yaml one experiment per app: baseline, ACCORD, CONCORD, both
overlays/ what each scenario patches into the app: the protocol skills of each agent
flavours/ runtime flavour
traces/ recorded runs
An experiment compares scenarios of the same app. A scenario is a list of overlays: the baseline
adds none of the protocols, the others add the skills of ACCORD (accord-initiator,
accord-receiver), of CONCORD (concord-initiator, concord-receiver) or of both.
The overlays name the skills but the apps do not ship them. Download them from the
releases of the Cognition Protocols
and copy each skill folder into the skills/ directory of the app, for example
library-ioc-eval/apps/sre-triage/v2/skills/. Install the library with
uv pip install -e library-ioc-eval in a MAS Lab environment, then run an experiment from
labs/cognitive-protocols/ with mas-lab benchmark run <app>-experiments.yaml.
The SRE Triage example of the Cognition Protocols tutorials does all of this with a script, at pinned commits.
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