Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 198, in _split_generators
                  for pa_metadata_table in self._read_metadata(downloaded_metadata_file, metadata_ext=metadata_ext):
                                           ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 306, in _read_metadata
                  for df in csv_file_reader:
                            ^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 15, saw 2
              
              
              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/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Marathi Number Sentences – TTS Dataset

A combined speech dataset of Marathi sentences that contain numbers, amounts, dates and times. It was created to improve how a Marathi TTS model reads numerals in customer-facing contexts (insurance, finance, scheduling), and is used to fine-tune ai4bharat/IndicF5.


Dataset summary

Split Utterances Duration
v1 – original number sentences 2,791 ~3.24 h
v2 – extended numbers (amounts, times, dates) 5,000 ~5.95 h
Combined (this dataset) 7,791 ~9.19 h
  • Language: Marathi (mr)
  • Script: Devanagari (with some Latin-digit numerals)
  • Audio: 24 kHz mono WAV, synthesised with an IndicF5 Marathi fine-tune
  • Avg. duration: ~4.2 s per clip

Dataset structure

wavs/
  num_00000.wav
  num_00001.wav
  ...
metadata.csv        (pipe-separated: audio_path | text | duration | version)
README.md

metadata.csv columns:

Column Type Description
audio_path string Relative path to the WAV file (wavs/num_XXXXX.wav)
text string Marathi transcript
duration float Clip duration in seconds
version string v1 or v2 – which generation batch

Example rows

audio_path text duration version
wavs/num_00000.wav घरात एकूण ७ सदस्य आहेत. 1.99 v1
wavs/num_02791.wav 73 लाखांच्या कव्हरसाठी वार्षिक प्रीमियम सुमारे ९८,००० रुपये येतो. 7.17 v2

Generation

Sentences were written by template using number_data/gen_number_sentences.py (templates in number_sentences.tsv / number_sentences_v2.tsv) and synthesised with number_data/synth_number_data.py using an IndicF5 Marathi checkpoint. Themes include:

  • insurance premiums and cover amounts (₹ in lakhs / crores)
  • callback times and appointment scheduling
  • policy term lengths and percentages
  • mixed Devanagari and Latin digit formats

Intended use

  • Fine-tuning Marathi TTS models for number reading
  • Benchmarking Marathi ASR on number-heavy speech
  • Research on numeral normalisation in Indic languages

Out of scope: this data is synthetic (generated by a TTS model). It should not be treated as natural human speech.


Related model

👉 SwarajSolanke-turtle/Marathi_Text_To_Speech – the IndicF5 fine-tune trained on this dataset.


License

  • MIT

Notes

  • This dataset is used to trained the model to understand and read the given digit or number in the sentence for the Marathi language.
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