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/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/source_snapshot/[]/[]) changed from string to number in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
DuplexOmni Release
DuplexOmni is a research collection for full-duplex conversational intelligence, bringing together scenario seeds, source-grounded dialogue instances, and structured scripts for speech synthesis and interaction modeling.
Published by hysi-lab. This release supports research on interruption, turn coordination, backchannels, and asynchronous conversational behavior.
Release artifacts
| Archive | Contents |
|---|---|
01_doubao_seeds.zip |
LLM-generated dialogue scenario seeds and generation metadata. |
02_dataset_instances.zip |
Dialogue instances extracted from public datasets, with provenance and per-record license metadata. |
03_omni_v9_scripts.zip |
Structured full-duplex dialogue scripts in the llm2script.v9 format and conversion reports. |
These archives contain generated or extracted text and metadata for synthesis and training workflows. They are not a release of real-user audio recordings. Simulated facts and task results must not be treated as verified real-world information.
Usage and rights
Public availability does not waive copyright, attribution requirements, or upstream license conditions. This is a mixed-source collection; no single permissive license is granted over the entire release.
- Preserve source attribution, license notices, and provenance when using or redistributing applicable materials. Credit this release as hysi-lab / DuplexOmni-Release and link to this repository.
- Do not misrepresent this collection or its upstream materials as your own original creation, remove required attribution, or imply endorsement by hysi-lab or upstream contributors.
- For extracted instances, inspect
license_idand the source inventories. The collection includes CC-BY-4.0, CC-BY-NC-4.0, CC-BY-SA-4.0, Apache-2.0, and CC-BY-NC-SA-4.0 materials. Applicable upstream terms control each source; this notice does not restrict rights those licenses already grant. - Non-commercial source materials must not be used commercially under their existing licenses. Records marked
production_eligible=falseare excluded from the intended production workflow; atrueflag is not a substitute for reviewing licenses and other applicable rights. - Before commercial use, redistribution, or model training, review the relevant source terms and obtain any additional permissions required. For release-specific rights that are not expressly granted, contact the maintainers through this repository.
The maintainers reserve rights they hold in original contributions and release materials. This statement does not claim ownership of third-party content. Materials are provided as-is, without guarantees of correctness or fitness for a particular purpose.
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