Book Corpus for Speech Recognition Language Modeling

A text corpus for language modeling in automatic speech recognition systems, created by Jiejie and hosted on Hugging Face. The dataset was last updated in February 2022. Its size is categorized as 1K to 10K entries.

Use Cases

• Train or fine-tune a language model for ASR using the provided text corpus.
• Evaluate the impact of book-derived text data on ASR system perplexity scores.
• Generate synthetic text data for augmenting speech recognition training pipelines.
• Benchmark language model performance on domain-specific text from literary sources.

Strengths

• Text modality corpus categorized as containing 1K to 10K entries.
• Includes metadata tags for specific libraries (polars, pandas) and formats (Parquet).

Limitations

• Small dataset size (1K-10K rows) limits training for large-scale models.
• No column names, sample data, or detailed description are provided.
• Last update was in 2022, making the data potentially stale for current model architectures.

Provenance

Source

Hugging Face user Jiejie.

Collection Method

null

Time Range

null

Freshness

Last updated 2022-02-26.

Geography

Platform tags suggest a US region focus.