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.
PraxisMem-Training
Training data for PraxisMem's memory update and retrieval agents, including VERL-compatible samples and canonical memory states.
Data
Download verl.tar.gz and extract it into your data directory.
| Task | Samples |
|---|---|
| Memory update | 481 |
| Memory retrieval | 1,440 |
Each sample has a unique sample_id. Multiple retrieval samples may share
the same trajectory, session, and checkpoint, with their own query and target.
verl/
README.md
LICENSE
opsd/
update.parquet
retrieval.parquet
samples.jsonl
canonical_states/
manifest.json
update_sessions-0000{0,1,2}.jsonl
update_chunks-00000.jsonl
Canonical state shards contain 482 sessions and 3,375 ordered chunk deltas.
Use verl/ as the dataset directory and verl/canonical_states/ as
canonical_states_root in the companion training configuration.
For setup, sample loading, and training instructions, see the PraxisMem training documentation. The companion PraxisMemBench dataset provides benchmark trajectories and conversation history.
License And Sources
See LICENSE for data sources and component-specific terms.
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