Kazakh Speech Corpus with Punctuation-Restored Transcripts

KSC2 Structured is an enhanced version of the Kazakh Speech Corpus 2, providing audio recordings paired with transcripts that have restored punctuation and capitalization. Developed by Inflexion Lab, this dataset addresses the limitation of the original KSC2's plain lowercase transcripts. The dataset page was last updated in March 2026.

Use Cases

• Train ASR models to output punctuated text using the restored transcript labels.
• Fine-tune language models for Kazakh punctuation prediction based on audio features.
• Benchmark the performance of speech-to-text systems on structured Kazakh language output.
• Study the impact of punctuation restoration on downstream NLP tasks for Kazakh.

Strengths

• Based on the high-quality audio from the original ISSAI KSC2 corpus.
• Explicitly addresses a key limitation of the original dataset by restoring punctuation and capitalization.

Limitations

• Specific quantitative details such as row count, audio duration, and speaker demographics are not provided in the input.
• The enhancement's methodology and validation metrics are not described in the input.

Provenance

Source

Inflexion Lab, based on the ISSAI KSC2 (Kazakh Speech Corpus 2).

Collection Method

Enhanced version of an existing speech corpus with punctuation and capitalization restoration applied to the transcripts.

Time Range

null

Freshness

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Geography

Presumably Kazakhstan, based on the language focus, but not explicitly stated.