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Noothi
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indicf5-nfe11-rtf-ttfa-benchmark

Modalities:

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Split (1)

train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
audio: string
sample_rate: int64
duration_sec: double
nfe: int64
gpu: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 840
to
{'NFE': Value('int64'), 'TTFA_sec': Value('float64'), 'Total_Gen_sec': Value('float64'), 'Total_Audio_sec': Value('float64'), 'Overall_RTF': Value('float64'), 'Peak_VRAM_GB': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                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
              audio: string
              sample_rate: int64
              duration_sec: double
              nfe: int64
              gpu: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 840
              to
              {'NFE': Value('int64'), 'TTFA_sec': Value('float64'), 'Total_Gen_sec': Value('float64'), 'Total_Audio_sec': Value('float64'), 'Overall_RTF': Value('float64'), 'Peak_VRAM_GB': Value('float64')}
              because column names don't match
              
              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 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 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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NFE int64	TTFA_sec float64	Total_Gen_sec float64	Total_Audio_sec float64	Overall_RTF float64	Peak_VRAM_GB float64
11	0.715	7.546	56.48	0.134	1.44
12	0.753	8.097	56.48	0.143	1.44
13	0.822	8.774	56.48	0.155	1.44
14	0.87	9.385	56.48	0.166	1.44
15	0.933	10.061	56.48	0.178	1.44
16	0.985	10.685	56.48	0.189	1.44
null	null	null	null	null	null

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IndicF5 NFE11 RTF TTFA Benchmark

Model:

Noothi/telugu-indicf5-combined-v2

Hardware:

NVIDIA RTX 5090

Benchmark Metrics:

TTFA
Total Generation Time
Real Time Factor (RTF)
Peak VRAM

Best Result:

Metric	Value
NFE	11
TTFA	0.715 sec
RTF	0.134
Peak VRAM	1.44 GB

Files:

benchmark_results.csv
metadata.csv
wavs/nfe11_benchmark.wav

Downloads last month: 13

Total file size:

2.71 MB