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/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
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 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.
PraxisMemBench
PraxisMemBench is a harness-based benchmark for persistent personal assistance across daily-life and work trajectories. It evaluates how memory methods manage personal memory, procedural memory, and their evolving relationships.
Data
| Archive | Trajectories | Sessions | Personas | History conversations |
|---|---|---|---|---|
| train.tar.gz | 20 | 500 | 20 | 27,247 |
| test.tar.gz | 20 | 500 | 20 | 20,559 |
Archives extract into train/ or test/:
train/ or test/
trajectories/<id>/sessions/
personas/
conversation_history/
Each trajectory contains 25 chronological sessions. Session files provide task
instructions, interaction scripts, application fixtures, scoring rules, and
persona changes. persona_file paths are relative to the split root.
Interaction turns reference ordered history_before IDs. Conversation records
contain history_id, source, source_split, and ordered messages with
role and content. Each split has four conversation shards; its
conversation_history/manifest.json records source revisions and shard hashes.
For installation and evaluation instructions, see the companion PraxisMemBench code repository.
License And Sources
See LICENSE for the component-specific data terms and source links.
The other metadata label refers to that document. Source dialogue content
may be retained, wrapped with persona context, or otherwise adapted; the source
and split fields identify its provenance.
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