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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'driver_options' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'driver_options' with no child field to Parquet. Consider adding a dummy child field.
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 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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.
envelope_version string | suite_id string | suite_version string | run_id string | timestamp string | model dict | engine dict | quantization dict | hardware_fingerprint dict | software_provenance dict | dataset dict | seed int64 | driver_options dict | metrics dict | distributions dict | slo_template string | warnings list | signature dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
v1 | voice.transcription.librispeech-clean-mini | 1.0.0 | 019e5ff4-79e4-7403-aa27-603a8fd37d02 | 2026-05-25T16:25:18.052774Z | {
"id": "Systran/faster-whisper-large-v3",
"revision": "unknown00",
"provider": "whisper-http",
"endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000"
} | {
"name": "whisper-http",
"version": "unknown",
"config_hash": "0000000000000000000000000000000000000000000000000000000000000000",
"image_digest": ""
} | {
"format": "fp16",
"method": ""
} | {
"fingerprint_sha256": "7e8631bf6bd81c9152b8f2ddd589eb310f09c65f8fc19e6730aa84fa6ae94d33",
"dmi_uuid": "unknown",
"gpus": [
{
"model": "NVIDIA RTX 4000 Ada Generation Laptop GPU",
"pci_id": "00000000:01:00.0",
"serial": "unknown",
"vbios": "95.04.49.00.0D"
}
],
"cpu": {
"m... | {
"image_digest": "",
"pip_freeze_hash": "9b75fb922e86234de5e49b99c53902c969741526c30ef13e93268f8cf6b442b6",
"git_commit": "48e6d28c1f37caf5f749543794631cebbc8f7100",
"nvidia_smi_q_hash": "ee8479eed0d6e763a323dc2703a067dbdfbe3d7ba3964a67ff4f355668951d50"
} | {
"id": "librispeech-clean-mini",
"hash": "cff1fdb61fe89ecdd453b7bbcc7850160645af4bc819dde51cd8dfcdf9c4eb33"
} | 0 | {} | {
"n_samples": 5,
"n_ok": 5,
"ok_rate": 1,
"audio_path_resolved_count": 5,
"wer_mean": 0.06999999999999999,
"wer_p50": 0,
"wer_p95": 0.21999999999999997,
"total_audio_duration_s": 19.725,
"total_p50_ms": 652.7784169884399,
"power_avg_w": 11.512225364963504,
"power_peak_w": 40.499,
"energy_joules... | {} | voice.transcription.standard | [] | {
"method": "dev-key",
"certificate": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAfUYEjuQacuVlcXoLNvFGvbC5nVq/HIYcawsMEPnWwbM=\n-----END PUBLIC KEY-----",
"rekor_log_index": -1,
"bundle": "BRRyTOvcTYhzHs4RjL04byQz9HlIN9PPnzxuyHE1EsYl4RsNLX1bKiRwCM6JSgUy1U5rL5TWUtEnI/Gofq1xDw=="
} |
v1 | voice.transcription.librispeech-clean-mini | 1.0.0 | 019e7488-e07c-74cd-b65e-52154b0c2eb6 | 2026-05-29T16:19:47.964753Z | {
"id": "Systran/faster-whisper-large-v3",
"revision": "unknown00",
"provider": "whisper-http",
"endpoint_hash": "0000000000000000000000000000000000000000000000000000000000000000"
} | {
"name": "whisper-http",
"version": "unknown",
"config_hash": "0000000000000000000000000000000000000000000000000000000000000000",
"image_digest": ""
} | {
"format": "fp16",
"method": ""
} | {
"fingerprint_sha256": "c353425077b20b36c71d9c32d9e5d49096478f4a0f7d6078c1dfc83c408ccf50",
"dmi_uuid": "unknown",
"gpus": [
{
"model": "NVIDIA H100 80GB HBM3",
"pci_id": "00000000:0A:00.0",
"serial": "1655223057573",
"vbios": "96.00.D0.00.02"
},
{
"model": "NVIDIA H100 8... | {
"image_digest": "",
"pip_freeze_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
"git_commit": "33fe98685537ac236789523e7b5205fa2bdf1bf7",
"nvidia_smi_q_hash": "fda00f9a7d19cc506751ddb8044b640cc19f1ebbbc6fe26b2b064b8dc58424f9"
} | {
"id": "librispeech-clean-mini",
"hash": "cff1fdb61fe89ecdd453b7bbcc7850160645af4bc819dde51cd8dfcdf9c4eb33"
} | 0 | {} | {
"n_samples": 5,
"n_ok": 5,
"ok_rate": 1,
"audio_path_resolved_count": 5,
"wer_mean": 0.06999999999999999,
"wer_p50": 0,
"wer_p95": 0.21999999999999997,
"total_audio_duration_s": 19.725,
"total_p50_ms": 262.2666200622916,
"power_avg_w": 584.4393970753656,
"power_peak_w": 681.292,
"energy_joules... | {} | voice.transcription.standard | [] | {
"method": "dev-key",
"certificate": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAOgohRIqrfkHKCraufQIMqzuw0+c7seJzjcjYyvdH1ls=\n-----END PUBLIC KEY-----",
"rekor_log_index": -1,
"bundle": "jYp9fZDS/V2VjPIroBjBMwYj/VrfEGuSvOR3tHBi57jvjWQWgjWFqh6qnTCWrc9+Zxm/a64su80aVCFdeA8pBw=="
} |
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