Datasets:

kenmyz
/

myanmar

Tasks:

Text-to-Speech

Automatic Speech Recognition

Languages:

Burmese

License:

Dataset card Files Files and versions

xet

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train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      Could not open Parquet input source '<Buffer>': Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1905, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 90, in _generate_tables
                  if parquet_fragment.row_groups:
                File "pyarrow/_dataset_parquet.pyx", line 383, in pyarrow._dataset_parquet.ParquetFileFragment.row_groups.__get__
                File "pyarrow/_dataset_parquet.pyx", line 390, in pyarrow._dataset_parquet.ParquetFileFragment.metadata.__get__
                File "pyarrow/_dataset_parquet.pyx", line 379, in pyarrow._dataset_parquet.ParquetFileFragment.ensure_complete_metadata
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Could not open Parquet input source '<Buffer>': Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.

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Please visit to the GitHub repository for other Myanmar Langauge datasets.

Myanmar Speech Dataset (OpenSLR-80)

This dataset consists exclusively of Myanmar speech recordings, extracted from the larger multilingual OpenSLR dataset. For the complete multilingual dataset and additional information, please visit the original dataset repository of OpenSLR HuggingFace page.

Original Source

OpenSLR is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, and software related to speech recognition.

SLR80: Crowdsourced high-quality Burmese speech data set

This data set contains transcribed high-quality audio of Burmese sentences recorded by volunteers.

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

The dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License. See LICENSE file and https://github.com/google/language-resources#license for license information.

SLR80

@inproceedings{oo-etal-2020-burmese,
    title = {{Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech}},
    author = {Oo, Yin May and Wattanavekin, Theeraphol and Li, Chenfang and De Silva, Pasindu and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Jansche, Martin and Kjartansson, Oddur and Gutkin, Alexander},
    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
    month = may,
    year = {2020},
    pages = "6328--6339",
    address = {Marseille, France},
    publisher = {European Language Resources Association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.lrec-1.777},
    ISBN = {979-10-95546-34-4},
}

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