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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 44035251aa582eb738f3d26dcb822c9ec81d62de), ['hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_de.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_es.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_fr.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_it.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_latest.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/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 44035251aa582eb738f3d26dcb822c9ec81d62de), ['hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_de.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_es.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_fr.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_it.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/multilingual_latest.csv', 'hf://datasets/hf-audio/multilingual_evals@44035251aa582eb738f3d26dcb822c9ec81d62de/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
assembly/universal-3-pro
-1
2.42
2.76
CohereLabs/cohere-transcribe-03-2026
650.74
3.33
2.87
elevenlabs/scribe_v2
-1
2.3
2.19
facebook/omniASR-CTC-1B-v2
742.2
7.2
9.64
facebook/omniASR-CTC-300M-v2
1,211.23
14.06
18.9
facebook/omniASR-CTC-3B-v2
491.17
5.04
7.3
facebook/omniASR-CTC-7B-v2
302.68
4.89
7.01
facebook/omniASR-LLM-1B-v2
50.29
7.09
7.28
facebook/omniASR-LLM-300M-v2
47.9
7.84
11.68
facebook/omniASR-LLM-3B-v2
49.38
4.68
7.14
facebook/omniASR-LLM-7B-v2
44.56
3.69
5.3
ibm-granite/granite-speech-4.1-2b-nar
1,402.39
4.87
3.78
microsoft/azure-speech
-1
1.93
1.88
microsoft/Phi-4-multimodal-instruct
123.08
3.68
4.1
mistralai/Voxtral-Mini-3B-2507
152.14
3.78
5.53
mistralai/Voxtral-Mini-4B-Realtime-2602
42.61
4.9
8.02
mistralai/Voxtral-Small-24B-2507
86.89
2.52
3.4
modulate/multilingual
-1
4.02
2.87
nvidia/canary-1b-v2
1,307.83
3.43
4.69
nvidia/parakeet-tdt-0.6b-v3
3,362.94
4.16
4.07
openai/whisper-large-v3
273.35
3.66
8.61
openai/whisper-large-v3-turbo
331.51
3.66
8.61
Qwen/Qwen3-ASR-0.6B
230.06
5.3
8.34
Qwen/Qwen3-ASR-1.7B
233.18
3.21
4.89
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
assembly/universal-3-pro
-1
2.2
2.76
CohereLabs/cohere-transcribe-03-2026
723.2
3.26
2.79
elevenlabs/scribe_v2
-1
1.85
2.55
facebook/omniASR-CTC-1B-v2
842.8
5.25
7.39
facebook/omniASR-CTC-300M-v2
1,088.31
9.37
13.45
facebook/omniASR-CTC-3B-v2
563
4
5.87
facebook/omniASR-CTC-7B-v2
360.67
3.88
5.62
facebook/omniASR-LLM-1B-v2
59.17
3.79
5.28
facebook/omniASR-LLM-300M-v2
65.22
5.31
7.51
facebook/omniASR-LLM-3B-v2
56.69
3.42
5.42
facebook/omniASR-LLM-7B-v2
53.96
2.94
4.07
ibm-granite/granite-speech-4.1-2b-nar
1,617.91
3.61
3.95
microsoft/azure-speech
-1
1.75
2.24
microsoft/Phi-4-multimodal-instruct
129.76
3.08
3.96
mistralai/Voxtral-Mini-3B-2507
188.46
3.46
4.28
mistralai/Voxtral-Mini-4B-Realtime-2602
53.09
2.8
5.05
mistralai/Voxtral-Small-24B-2507
104.14
2.86
3.01
modulate/multilingual
-1
3.77
2.78
nvidia/canary-1b-v2
1,466.05
2.63
3.94
nvidia/parakeet-tdt-0.6b-v3
3,786.16
3.25
3.53
openai/whisper-large-v3
328.27
2.73
5.88
openai/whisper-large-v3-turbo
403.3
2.73
5.88
Qwen/Qwen3-ASR-0.6B
312.53
4.47
6.52
Qwen/Qwen3-ASR-1.7B
257.71
2.99
4.12
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
assembly/universal-3-pro
-1
2.84
6.3
CohereLabs/cohere-transcribe-03-2026
699.77
4.33
5.28
elevenlabs/scribe_v2
-1
2.93
4.4
facebook/omniASR-CTC-1B-v2
810.19
10.71
13.3
facebook/omniASR-CTC-300M-v2
1,195.36
21.08
21.89
facebook/omniASR-CTC-3B-v2
595.57
8.31
10.84
facebook/omniASR-CTC-7B-v2
335.72
7.65
10.12
facebook/omniASR-LLM-1B-v2
54.54
7.46
9.45
facebook/omniASR-LLM-300M-v2
55.84
11.23
12.63
facebook/omniASR-LLM-3B-v2
53.8
6.88
10.5
facebook/omniASR-LLM-7B-v2
50.19
5.21
7.33
ibm-granite/granite-speech-4.1-2b-nar
1,510.5
6.24
6.38
microsoft/azure-speech
-1
2.78
4.28
microsoft/Phi-4-multimodal-instruct
119.56
4.19
6.83
mistralai/Voxtral-Mini-3B-2507
181.52
4.29
7.78
mistralai/Voxtral-Mini-4B-Realtime-2602
51.91
8.19
9.62
mistralai/Voxtral-Small-24B-2507
95.19
3.53
5.58
modulate/multilingual
-1
4.71
5.27
nvidia/canary-1b-v2
1,456.55
4.35
6.58
nvidia/parakeet-tdt-0.6b-v3
3,618.38
4.68
6.35
openai/whisper-large-v3
295.12
4.88
11.62
openai/whisper-large-v3-turbo
363.61
4.88
11.62
Qwen/Qwen3-ASR-0.6B
237.95
7.12
10.81
Qwen/Qwen3-ASR-1.7B
229.92
4.13
7.91
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
assembly/universal-3-pro
-1
1.56
3.97
CohereLabs/cohere-transcribe-03-2026
717.97
2.33
2.51
elevenlabs/scribe_v2
-1
0.9
2.17
facebook/omniASR-CTC-1B-v2
876.58
4.85
8.15
facebook/omniASR-CTC-300M-v2
999.96
9.29
15.19
facebook/omniASR-CTC-3B-v2
566.33
3.34
6.37
facebook/omniASR-CTC-7B-v2
328.19
3.34
5.68
facebook/omniASR-LLM-1B-v2
52.82
3.4
6.12
facebook/omniASR-LLM-300M-v2
56.44
5.24
9.14
facebook/omniASR-LLM-3B-v2
54.35
3.36
7.17
facebook/omniASR-LLM-7B-v2
48.95
2.29
4.18
microsoft/azure-speech
-1
1.03
1.8
microsoft/Phi-4-multimodal-instruct
118.14
1.93
3.31
mistralai/Voxtral-Mini-3B-2507
179.08
2.22
5.75
mistralai/Voxtral-Mini-4B-Realtime-2602
49.35
3.02
6.35
mistralai/Voxtral-Small-24B-2507
96.31
2.27
3.31
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