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Datasets:
mamed0v
/
TurkmenSpeech

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Audio
Text
Languages:
Turkmen
Size:
100K - 1M
License:
Dataset card Data Studio Files
xet
 Community
1
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Search is not available for this dataset
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:    RuntimeError
Message:      Could not open input file: wavs/000/chunk_-4b54Z3HJFs_263_1424.90-1426.80.wav No such file or directory
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1953, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2147, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1409, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/audio.py", line 191, in decode_example
                  audio = AudioDecoder(path, stream_index=self.stream_index, sample_rate=self.sampling_rate)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/torchcodec/decoders/_audio_decoder.py", line 64, in __init__
                  self._decoder = create_decoder(source=source, seek_mode="approximate")
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/torchcodec/decoders/_decoder_utils.py", line 27, in create_decoder
                  return core.create_from_file(source, seek_mode)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/torch/_ops.py", line 829, in __call__
                  return self._op(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^
              RuntimeError: Could not open input file: wavs/000/chunk_-4b54Z3HJFs_263_1424.90-1426.80.wav No such file or directory

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Turkmen Speech Dataset (ASR)

This dataset contains 251 hours of Turkmen speech audio with transcriptions, intended for training and evaluating Automatic Speech Recognition (ASR) models. It is one of the largest publicly available Turkmen speech datasets.

Dataset Overview

Property Value
Total clips 119,847
Total duration 251.86 hours
Sampling rate 16,000 Hz
Language Turkmen (tk)
Split train

Each item includes:

  • audio: waveform + sampling rate
  • text: Turkmen transcription
  • duration: clip length in seconds
  • start/end timestamps from the original source
  • source: YouTube link
  • speaker_id: currently unknown

Quality Notes

  • 95% of clips are under 20 seconds, suitable for ASR model training
  • Contains real-world spoken Turkmen (news, interviews, dialogues, narration)
  • Correct diacritic usage
  • No empty or silent clips

License

This dataset is released under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.

You are free to:

  • Use, share, and modify the dataset for research and non-commercial purposes only

You must:

  • Provide proper attribution
  • Not use the dataset or derivative works for commercial purposes

Full license text: https://creativecommons.org/licenses/by-nc/4.0/
Downloads last month
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Number of rows:
119,847
Total file size:
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Models trained or fine-tuned on mamed0v/TurkmenSpeech