CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
Paper • 2602.03420 • Published
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
artifacts: list<item: struct<path: string, kind: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, kind: string, bytes: int64, sha256: string>
child 0, path: string
child 1, kind: string
child 2, bytes: int64
child 3, sha256: string
artifact_manifest_sha256: string
status: string
to
{'artifact_manifest_sha256': Value('string'), 'status': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
artifacts: list<item: struct<path: string, kind: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, kind: string, bytes: int64, sha256: string>
child 0, path: string
child 1, kind: string
child 2, bytes: int64
child 3, sha256: string
artifact_manifest_sha256: string
status: string
to
{'artifact_manifest_sha256': Value('string'), 'status': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
CoCoEmo ICML 2026 reproduction artifacts
This dataset stores immutable outputs for the independent reproduction of CoCoEmo in the ICML 2026 Agent Reproducibility Challenge.
Each completed run is stored under a commit- and configuration-derived path and contains, where applicable:
- repository, model, data, evaluator, hardware, and Job provenance;
- resolved configuration and SHA-256 manifests;
- requested, generated, and evaluated sample counts;
- per-sample metrics and aggregate bootstrap intervals;
- generated audio whose source licenses permit redistribution;
- a
COMPLETE.jsonmarker written only after every required artifact uploads.
The reproduction code is available at Amal-David/icml-2026-cocoemo-repro. The original implementation is pinned at wsssy/CoCoEmo@dcc3191.
Licensing
The reproduction harness is MIT licensed. Source recordings and generated audio retain the restrictions of their source datasets and model licenses. Each run must record those licenses in provenance; files without clear redistribution permission are represented only by hashes and aggregate results, not uploaded.
Integrity
Absence of COMPLETE.json, a count mismatch, a missing required metric, or a
dirty Git worktree makes a run ineligible as claim evidence.
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