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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'MLS WER'})

This happened while the csv dataset builder was generating data using

hf://datasets/hf-audio/multilingual_evals/multilingual_es.csv (at revision e9d9fcb2dd482b54ca83140fca1cfddab48604b2), ['hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_de.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_es.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_fr.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_it.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_latest.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_pt.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              model: string
              RTFx: double
              FLEURS WER: double
              MCV WER: double
              MLS WER: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 848
              to
              {'model': Value('string'), 'RTFx': Value('float64'), 'FLEURS WER': Value('float64'), 'MCV WER': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 1683, 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 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'MLS WER'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hf-audio/multilingual_evals/multilingual_es.csv (at revision e9d9fcb2dd482b54ca83140fca1cfddab48604b2), ['hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_de.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_es.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_fr.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_it.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_latest.csv', 'hf://datasets/hf-audio/multilingual_evals@e9d9fcb2dd482b54ca83140fca1cfddab48604b2/multilingual_pt.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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model
string
RTFx
float64
FLEURS WER
float64
MCV WER
float64
assemblyai/universal-3-pro
-1
2.42
2.76
CohereLabs/cohere-transcribe-03-2026
606.88
3.33
2.87
elevenlabs/scribe_v2
-1
2.3
2.19
facebook/omniASR-CTC-1B-v2
762.41
7.2
9.64
facebook/omniASR-CTC-300M-v2
1,011.36
14.06
18.89
facebook/omniASR-CTC-3B-v2
526.62
5.04
7.3
facebook/omniASR-CTC-7B-v2
310.76
4.89
7.01
facebook/omniASR-LLM-1B-v2
47.07
5.92
6.6
facebook/omniASR-LLM-300M-v2
47.8
7.78
10.31
facebook/omniASR-LLM-3B-v2
45.28
4.63
6.48
facebook/omniASR-LLM-7B-v2
42.5
3.72
5.06
ibm-granite/granite-speech-4.1-2b-nar
1,402.39
4.87
3.78
microsoft/azure-speech-06-2026
-1
1.93
1.88
microsoft/Phi-4-multimodal-instruct
122.69
3.99
4.25
microsoft/VibeVoice-ASR-HF
113.69
7.44
20.97
mistralai/Voxtral-Mini-3B-2507
149.66
3.64
5.29
mistralai/Voxtral-Mini-4B-Realtime-2602
42.1
4.87
7.81
mistralai/Voxtral-Small-24B-2507
82.96
2.61
3.19
modulate/multilingual
-1
4.02
2.87
nvidia/canary-1b-v2
1,307.83
3.43
4.69
nvidia/nemotron-3.5-asr-streaming-0.6b
1,109.98
8.46
9.46
nvidia/parakeet-tdt-0.6b-v3
3,362.94
4.16
4.07
openai/whisper-large-v3
327.55
3.2
4.79
openai/whisper-large-v3-turbo
338.32
3.67
8.58
Qwen/Qwen3-ASR-0.6B-hf
384.27
5.41
7.97
Qwen/Qwen3-ASR-1.7B-hf
368.59
3.35
4.6
reson8/resonant-1
-1
2.56
3.01
reson8/resonant-1-flash
-1
2.56
3.01
soniox/stt-async-v5
-1
2.66
4.62
speechmatics/enhanced
-1
3.56
1.99
assemblyai/universal-3-pro
-1
2.2
2.76
CohereLabs/cohere-transcribe-03-2026
737.32
3.26
2.79
elevenlabs/scribe_v2
-1
1.85
2.55
facebook/omniASR-CTC-1B-v2
876.12
5.25
7.39
facebook/omniASR-CTC-300M-v2
1,107.76
9.37
13.44
facebook/omniASR-CTC-3B-v2
569.88
4
5.87
facebook/omniASR-CTC-7B-v2
353.73
3.88
5.61
facebook/omniASR-LLM-1B-v2
59.04
3.85
5.15
facebook/omniASR-LLM-300M-v2
60.47
5.39
7.33
facebook/omniASR-LLM-3B-v2
55.45
3.4
5.12
facebook/omniASR-LLM-7B-v2
53.05
2.93
4
ibm-granite/granite-speech-4.1-2b-nar
1,617.91
3.61
3.95
microsoft/azure-speech-06-2026
-1
1.75
2.24
microsoft/Phi-4-multimodal-instruct
135.31
3.23
4.04
microsoft/VibeVoice-ASR-HF
136.35
3.58
11.87
mistralai/Voxtral-Mini-3B-2507
183.34
3.25
4.36
mistralai/Voxtral-Mini-4B-Realtime-2602
53.15
2.8
5.02
mistralai/Voxtral-Small-24B-2507
101.48
2.79
2.9
modulate/multilingual
-1
3.77
2.78
nvidia/canary-1b-v2
1,466.05
2.63
3.94
nvidia/nemotron-3.5-asr-streaming-0.6b
1,165.44
4.23
6.91
nvidia/parakeet-tdt-0.6b-v3
3,786.16
3.25
3.53
openai/whisper-large-v3
386.26
2.3
4.29
openai/whisper-large-v3-turbo
660.78
2.73
4.98
Qwen/Qwen3-ASR-0.6B-hf
435.03
4.46
6.39
Qwen/Qwen3-ASR-1.7B-hf
442.85
2.92
4.03
reson8/resonant-1
-1
2.24
2.93
reson8/resonant-1-flash
-1
2.24
2.93
soniox/stt-async-v5
-1
2.4
4.27
speechmatics/enhanced
-1
2.61
2.05
assemblyai/universal-3-pro
-1
2.84
6.3
CohereLabs/cohere-transcribe-03-2026
635.11
4.33
5.28
elevenlabs/scribe_v2
-1
2.93
4.4
facebook/omniASR-CTC-1B-v2
889.08
10.71
13.3
facebook/omniASR-CTC-300M-v2
1,065.82
21.08
21.89
facebook/omniASR-CTC-3B-v2
540.08
8.31
10.84
facebook/omniASR-CTC-7B-v2
332.74
7.65
10.12
facebook/omniASR-LLM-1B-v2
54.07
7.35
9.18
facebook/omniASR-LLM-300M-v2
54.82
11.21
12.07
facebook/omniASR-LLM-3B-v2
52.4
6.82
9.65
facebook/omniASR-LLM-7B-v2
48.3
5.19
7.26
ibm-granite/granite-speech-4.1-2b-nar
1,510.5
6.24
6.38
microsoft/azure-speech-06-2026
-1
2.78
4.28
microsoft/Phi-4-multimodal-instruct
127.69
4.08
6.89
microsoft/VibeVoice-ASR-HF
125.68
11.3
23.85
mistralai/Voxtral-Mini-3B-2507
158.29
4.13
7.8
mistralai/Voxtral-Mini-4B-Realtime-2602
50.43
8.19
9.57
mistralai/Voxtral-Small-24B-2507
89.24
3.61
5.5
modulate/multilingual
-1
4.71
5.27
nvidia/canary-1b-v2
1,456.55
4.35
6.58
nvidia/nemotron-3.5-asr-streaming-0.6b
1,174.69
9.86
10.97
nvidia/parakeet-tdt-0.6b-v3
3,618.38
4.68
6.35
openai/whisper-large-v3
339.65
4.84
9.97
openai/whisper-large-v3-turbo
591.2
4.9
11.06
Qwen/Qwen3-ASR-0.6B-hf
396.31
7.06
10.78
Qwen/Qwen3-ASR-1.7B-hf
378.72
4.06
7.84
reson8/resonant-1
-1
3.61
5.81
reson8/resonant-1-flash
-1
3.61
5.81
soniox/stt-async-v5
-1
4.24
9.84
speechmatics/enhanced
-1
4.37
5.7
assemblyai/universal-3-pro
-1
1.56
3.97
CohereLabs/cohere-transcribe-03-2026
687.45
2.33
2.51
elevenlabs/scribe_v2
-1
0.9
2.17
facebook/omniASR-CTC-1B-v2
815.1
4.85
8.15
facebook/omniASR-CTC-300M-v2
1,041.23
9.29
15.18
facebook/omniASR-CTC-3B-v2
558.12
3.34
6.37
facebook/omniASR-CTC-7B-v2
330.31
3.34
5.68
facebook/omniASR-LLM-1B-v2
51.81
3.39
5.49
facebook/omniASR-LLM-300M-v2
52.82
5.41
8.39
facebook/omniASR-LLM-3B-v2
50.97
3.11
6.29
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