The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: datasets/dsfsi/lwazi-asr-corpus-compressed@e4c64463dba82a6620f0b3163a89fa8ca55edd4c/isindebele_001_01
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 2285, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1857, in __iter__
batch = formatter.format_batch(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 467, in format_batch
batch = self.python_features_decoder.decode_batch(batch)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 229, in decode_batch
return self.features.decode_batch(batch) if self.features else batch
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2143, in decode_batch
[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2144, in <listcomp>
decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1414, 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/audio.py", line 180, in decode_example
with xopen(path, "rb", download_config=download_config) as f:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 949, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 135, in open
return self.__enter__()
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1293, in open
f = self._open(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 947, in __init__
self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 716, in info
_raise_file_not_found(path, None)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 1136, in _raise_file_not_found
raise FileNotFoundError(msg) from err
FileNotFoundError: datasets/dsfsi/lwazi-asr-corpus-compressed@e4c64463dba82a6620f0b3163a89fa8ca55edd4c/isindebele_001_01Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Lwazi ASR Corpus Collection
This repository contains a curated collection of the Lwazi Automatic Speech Recognition (ASR) Corpus for several low-resourced South African languages. These datasets are designed for use in speech recognition research and development, particularly for underrepresented languages.
Corpus Overview
Each corpus consists of scripted telephonic speech recordings collected from native speakers, along with corresponding transcriptions. The audio recordings are primarily from general domain telephone conversations. All data is licensed under Creative Commons BY 2.5, allowing for open research and non-commercial use with attribution.
| Language | Scripted | License | Speakers | Hours | Utterances | Domain |
|---|---|---|---|---|---|---|
| isiNdebele | ✅ | CC BY 3.0 | 10 | 200 | 6,013 | Telephonic/General |
| isiXhosa | ✅ | CC BY 3.0 | 9 | 210 | 6,242 | Telephonic/General |
| isiZulu | ✅ | CC BY 3.0 | 8 | 199 | 5,785 | Telephonic/General |
| Sepedi | ✅ | CC BY 3.0 | 9 | 190 | 5,640 | Telephonic/General |
| Sesotho | ✅ | CC BY 3.0 | 7 | 202 | 6,027 | Telephonic/General |
| Setswana | ✅ | CC BY 3.0 | 8 | 203 | 5,970 | Telephonic/General |
| Siswati | ✅ | CC BY 3.0 | 10 | 196 | 5,838 | Telephonic/General |
| Tshivenda | ✅ | CC BY 3.0 | 7 | 198 | 5,939 | Telephonic/General |
| Xitsonga | ✅ | CC BY 3.0 | 8 | 214 | 6,426 | Telephonic/General |
Use Cases
This corpus is particularly useful for:
- Training and evaluating ASR models for low-resourced South African languages.
- Linguistic analysis and phonetic research.
- Data augmentation and transfer learning tasks in multilingual NLP/ASR.
Data Structure
Each language corpus includes:
audio/: Subfolders per speaker that contain WAV audio files sampled from telephonic speech.transcriptions/: Text transcripts aligned with audio files.metadata.csv: Speaker information, durations, and utterance IDs.
Licensing
This dataset is licensed under Creative Commons Attribution 3.0 (CC BY 3.0). You are free to share and adapt the data with appropriate attribution.The dictionaries made availabe on this site are derived works of the "NCHLT-inlang Pronunciation Dictionaries" by the Meraka Institute, CSIR and the North-West University, available from the RMA and released under a Creative Commons Attribution 3.0 Unported License (CC BY 3.0). When using these dictionaries, please cite the following papers:
Citation
E. Barnard, M. Davel and C. van Heerden, "ASR Corpus Design for Resource-Scarce Languages," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech), Brighton, United Kingdom, September 2009, pp. 2847-2850.
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