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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 305, in _read_metadata
                  csv_file_reader = pd.read_csv(metadata_file, iterator=True, dtype=dtype, chunksize=chunksize)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1250, in xpandas_read_csv
                  return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
                  return _read(filepath_or_buffer, kwds)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 620, in _read
                  parser = TextFileReader(filepath_or_buffer, **kwds)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
                  self._engine = self._make_engine(f, self.engine)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
                  return mapping[engine](f, **self.options)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
                  self._reader = parsers.TextReader(src, **kwds)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
                File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
                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 2053, in pandas._libs.parsers.raise_parser_error
                File "<frozen codecs>", line 322, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x82 in position 10: invalid start byte
              
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

Dexterity Pidgin Voice Dataset — Sample v1

Overview

This dataset is a collection of short Nigerian Pidgin speech clips derived from natural storytelling content.

The recordings capture conversational tone, emotional expression, and real-life social context, designed to support AI systems in understanding authentic spoken Pidgin.

This dataset focuses on natural, unscripted conversational delivery rather than isolated phrases, making it suitable for real-world AI interaction scenarios.

Language

Nigerian Pidgin English

All transcripts are written exactly as spoken, without standardisation or translation.

Dataset Contents

  • Total clips: 45
  • Total duration: ~4–5 minutes
  • Audio format: WAV, 16-bit, mono (mobile recorded in clean indoor environment)
  • Clip length: 3 – 10 seconds
  • Speaker: 1 (female, Nigerian, conversational storytelling style)
  • Recording environment: Quiet indoor setting (phone microphone)

Folder Structure

audio_01.wav, audio_02.wav, etc. metadata.csv README.txt

Each file corresponds to an entry in metadata.csv containing transcript and labels.

Sample Transcript "Woman no be toy, woman no be shame"

Intended Use

This dataset is suitable for:

  • Speech recognition (ASR)
  • Conversational AI systems
  • Voice and dialogue modelling
  • Sentiment and tone detection
  • Low-resource language modelling (African language AI systems)

Creator

Name: Nkechi Adimora Project: Dexterity Learn Date: April 2026

Notes This is a sample dataset designed to demonstrate structure, audio quality, and conversational Pidgin usage.

The dataset is designed to scale to multiple speakers, accents, and broader conversational scenarios.

This is an early-stage Pidgin English voice dataset built to address the gap in African language AI. I am actively building and expanding this dataset (more speakers, more data, more structure). If you are working on speech AI, NLP, or African language technology and would like to collaborate or access more data, feel free to reach out.

📩 Contact: dexteritylearnhq@gmail.com 🔗 LinkedIn: nkechiadimora

Commercial Licensing This dataset is licensed for research and model training use only. Voice recordings may not be used to clone, replicate, or commercially reproduce the speaker's voice without a separate written agreement with the dataset creator. Commercial use requires a paid license. Contact: dexteritylearnhq@gmail.com

Full dataset available in tiers:

tags:

  • audio
  • speech
  • TTS
  • text-to-speech
  • ASR
  • speech-recognition
  • pidgin
  • naija
  • nigerian-pidgin
  • low-resource
  • african-languages
  • single-speaker
  • West African-pidgin
  • Pidgin-english
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