The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, 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.
Kazakh Speech Corpus (KSC) Dataset Card
This dataset card describes the Kazakh Speech Corpus (KSC), a large-scale, open-source speech corpus for the Kazakh language.
Summary
The KSC contains approximately 332 hours of transcribed audio, comprising over 153,000 utterances spoken by participants from diverse regions, age groups, and genders. It's the largest publicly available Kazakh speech corpus, designed to advance speech and language processing applications for the Kazakh language, a low-resource language within the Turkic language family. The data was crowdsourced via a web-based platform, and rigorously checked by native Kazakh speakers to ensure high quality. Preliminary speech recognition experiments yielded promising results (2.8% character error rate and 8.7% word error rate on the test set). An ESPnet recipe for reproducible speech recognition experiments is also provided.
Dataset Statistics
| Category | Train | Valid | Test | Total |
|---|---|---|---|---|
| Duration (hours) | 318.4 | 7.1 | 7.1 | 332.6 |
| # Utterances | 147,236 | 3,283 | 3,334 | 153,853 |
| # Words | 1.61M | 35.2k | 35.8k | 1.68M |
| # Unique Words | 157,191 | 13,525 | 13,959 | 160,041 |
| # Device IDs | 1,554 | 29 | 29 | 1,612 |
| # Speakers | - | 29 | 29 | - |
Validation and Test Set Speaker Details
| Category | Valid (%) | Test (%) |
|---|---|---|
| Gender (%) | ||
| Female | 51.7 | 51.7 |
| Male | 48.3 | 48.3 |
| Age (%) | ||
| 18-27 | 37.9 | 34.5 |
| 28-37 | 34.5 | 31.0 |
| 38-47 | 10.4 | 13.8 |
| 48 and above | 17.2 | 20.7 |
| Region (%) | ||
| East | 13.8 | 13.8 |
| West | 20.7 | 17.2 |
| North | 13.8 | 20.7 |
| South | 37.9 | 41.4 |
| Center | 13.8 | 6.9 |
| Device (%) | ||
| Phone | 62.1 | 79.3 |
| Computer | 37.9 | 20.7 |
| Headphone (%) | ||
| Yes | 20.7 | 17.2 |
| No | 79.3 | 82.8 |
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