Dataset Viewer
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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 "/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 89, in _split_generators
                  pa.Table.from_pylist(cast_to_python_objects([example], only_1d_for_numpy=True))
                  ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 2044, in pyarrow.lib._Tabular.from_pylist
                File "pyarrow/table.pxi", line 6401, in pyarrow.lib._from_pylist
                  return cls.from_arrays(arrays, names, metadata=metadata)
                File "pyarrow/table.pxi", line 4868, in pyarrow.lib.Table.from_arrays
                  converted_arrays = _sanitize_arrays(arrays, names, schema, metadata,
                File "pyarrow/table.pxi", line 1611, in pyarrow.lib._sanitize_arrays
                  converted_arrays = _schema_from_arrays(arrays, names, metadata,
                File "pyarrow/table.pxi", line 1592, in pyarrow.lib._schema_from_arrays
                  val = array(val)
                File "pyarrow/array.pxi", line 400, in pyarrow.lib.array
                  result = _sequence_to_array(obj, mask, size, type, pool, c_from_pandas)
                File "pyarrow/array.pxi", line 46, in pyarrow.lib._sequence_to_array
                  chunked = GetResultValue(
                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.ArrowTypeError: Expected bytes, got a 'float' object
              
              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.

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Humaneness Voice Large prompting evidence

Public model-specific manuals. Direct mono128kbpsMP3s cover full baseline/leader/runner-up take distributions; packed TARs preserve all available attempts, full raw metadata and12-codebook arrays. TAR members are id.mp3,id.npz andid.json. Do not unpack a whole corpus into loose files on an inode-limited filesystem. Scores use complete generated waveforms before MP3compression. Failures are retained.

Two fixed public speaker references are reused with their original CC-BY attribution. Source URLs: {"en": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.2-Alpha-Demo-Audio/resolve/01d90e9bd13490e8828a28c7e65507e3d39116b1/audio/reference_en.mp3", "de": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.2-Alpha-Demo-Audio/resolve/01d90e9bd13490e8828a28c7e65507e3d39116b1/audio/reference_de.mp3"}

Model links: https://huggingface.co/laion/Humaneness-Voice-Large-1.5-Alpha and https://huggingface.co/laion/Humaneness-Voice-Large-1.5-RealSpeech-LoRAs. Legacy and canonical studies have different format/scoring contracts; see the manuals before pooling them.

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