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Datasets:
Talha064
/
BharatVidya_tts_Yellowsense_Custom_dataset

Tasks:
Text-to-Speech
Modalities:
Audio
Languages:
English
Gujarati
Size:
n<1K
Tags:
tts
gujarati
english
indic
speech
audio
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
MetaData: struct<Title: string, Copyright: string, Contributers: string>
SpeakersMetaData: struct<Language: string, Gender: string, Age: string, Experience: string, Languages known: string, Mother tongue: string>
Transcripts: struct<BHARATVIDYA_ENG_CSTM_0001: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0002: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0003: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0004: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0005: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0006: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0007: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0008: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0009: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0010: struct<Transcript: string, Domain: string>>
vs
MetaData: struct<Title: string, Copyright: string, Contributers: string>
SpeakersMetaData: struct<Language: string, Gender: string, Age: string, Experience: string, Languages known: string, Mother tongue: string>
Transcripts: struct<BHARATVIDYA_GUJ_CSTM_0001: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0002: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0003: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0004: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0005: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0006: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0007: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0008: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0009: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0010: struct<Transcript: string, Domain: string>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 563, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                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.ArrowInvalid: Schema at index 1 was different: 
              MetaData: struct<Title: string, Copyright: string, Contributers: string>
              SpeakersMetaData: struct<Language: string, Gender: string, Age: string, Experience: string, Languages known: string, Mother tongue: string>
              Transcripts: struct<BHARATVIDYA_ENG_CSTM_0001: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0002: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0003: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0004: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0005: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0006: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0007: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0008: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0009: struct<Transcript: string, Domain: string>, BHARATVIDYA_ENG_CSTM_0010: struct<Transcript: string, Domain: string>>
              vs
              MetaData: struct<Title: string, Copyright: string, Contributers: string>
              SpeakersMetaData: struct<Language: string, Gender: string, Age: string, Experience: string, Languages known: string, Mother tongue: string>
              Transcripts: struct<BHARATVIDYA_GUJ_CSTM_0001: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0002: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0003: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0004: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0005: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0006: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0007: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0008: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0009: struct<Transcript: string, Domain: string>, BHARATVIDYA_GUJ_CSTM_0010: struct<Transcript: string, Domain: string>>

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BharatVidya-YellowSense-tts Custom Dataset

This dataset follows the same structure and schema as the IISc SPICOR dataset,
but it is customized and renamed under the BharatVidya project.

Currently, the audio folders are empty.
Only the directory structure and JSON format are prepared for Stage 1 requirements.

Structure

  • english/

    • audio/ – .wav audio sample files.
    • BharatVidya_English_Custom_Transcripts.json

  • gujarati/

    • audio/ – .wav audio sample files.
    • BharatVidya_Gujarati_Custom_Transcripts.json

JSON Schema

Each transcript JSON file contains:

  • MetaData
  • SpeakersMetaData
  • Transcripts (mapping IDs to transcripts + domains)

license: apache-2.0

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