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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
flac audio | __key__ string | __url__ string |
|---|---|---|
coral_00_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_00_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_00_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_01_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_01_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_01_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_02_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_02_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_02_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_03_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_03_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_03_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_04_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_04_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_04_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_05_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_05_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_05_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_06_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_06_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_06_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_07_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_07_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_07_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_08_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_08_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_08_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_09_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_09_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_09_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_00_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_00_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_00_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_01_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_01_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_01_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_02_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_02_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_02_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_03_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_03_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_03_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_04_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_04_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_04_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_05_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_05_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_05_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_06_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_06_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_06_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_07_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_07_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_07_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_08_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_08_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_08_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_09_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_09_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
sage_09_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_00_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_00_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_00_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_01_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_01_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_01_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_02_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_02_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_02_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_03_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_03_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_03_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_04_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_04_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_04_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_05_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_05_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_05_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_06_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_06_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_06_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_07_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_07_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_07_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_08_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_08_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_08_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_09_0 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_09_1 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
verse_09_2 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars/000.tar | |
coral_00 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_01 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_02 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_03 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_04 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_05 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_06 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_07 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_08 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar | |
coral_09 | hf://datasets/alon-p/hey-tars-training@7b57b0a0458a79ec6c8d56af2fee58438462660b/bench/clips_heldout/hey_tars_near_miss/000.tar |
End of preview.
"hey TARS" training clips (open)
63411 synthetic "hey TARS" clips and lookalike phrases ("hey cars", "hey stars"...) for training the wake models
of TARS, a hackable voice assistant: Kokoro and OpenAI text-to-speech clips, the permissively licensed Piper voices, real LibriSpeech lookalike words, held-out test voices, and the double-check's training rows. 16 kHz mono FLAC in tar shards, listed with
their SHA-256 in manifest.csv. The clips are clean: background noise, music and rooms are mixed in at training time
from their own sources. All speech here is synthetic (AI-generated) except the LibriSpeech lookalike words.
Download it with the repo's training.hub download. Sources and their terms: ATTRIBUTION.md.
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