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/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 192, in _split_generators
raise ValueError(f"Found metadata files with different extensions: {list(metadata_ext)}")
ValueError: Found metadata files with different extensions: ['.jsonl', '.csv']
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/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.
GradrAI Viva Code-Switched Oral Benchmark
Consented, de-identified classroom-style oral answer clips used to benchmark GradrAI Viva for the Sahara CodeSwitch Africa challenge.
Contents
metadata.csv/metadata.jsonl: one row per clip.audio/: 16 kHz mono WAV files for Hugging Face dataset preview and ASR reuse.audio_original/: original submitted browser/Opus/WebM audio files.benchmark/: benchmark outputs (results.md,results.json) and manifest used by GradrAI Viva.
Dataset snapshot
- Clips: 27
- Duration: 12.3 minutes
- Language pairs: English; English + Nigerian Pidgin (
pcm); English + Yoruba (yo); English + Hausa (ha); English + Igbo (ig); English + Swahili (sw); English + Zulu (zu). - Metadata coverage: consent, de-identification, accent/country, device, and noise fields present for all clips.
- References: 11 speaker/reference transcripts plus 16 ASR-draft references accepted by the project owner for deadline submission. The ASR-draft references should be human-corrected before any research-grade publication.
Intended use
Benchmarking and demonstrating code-switched ASR and downstream educational scoring for formative classroom assessment.
Responsible use
All clips are marked consented and de-identified. Do not use this dataset for biometric identification, speaker profiling, surveillance, or high-stakes automated decisions. GradrAI Viva is intended as formative teacher support.
Benchmark summary
Completed GradrAI Viva Set A results are in benchmark/results.md and benchmark/results.json. Headline ASR comparison on 27 clips:
| Model | Usable | WER | CER | Score gap | Latency |
|---|---|---|---|---|---|
| Sahara v2.5 CodeSwitch Router | 23/27 | 0.28 | 0.23 | 0.2 | 8.0s |
| Gemini audio (2.5 Flash) | 27/27 | 0.50 | 0.31 | 1.7 | 7.1s |
| whisper.cpp base | 27/27 | 0.81 | 0.56 | 3.9 | 3.3s |
| whisper.cpp small-q5_1 | 27/27 | 0.81 | 0.64 | 5.8 | 9.8s |
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