Automatic Speech Recognition Error Robustness Dataset for Sentence Classification

Sentence classification datasets containing Automatic Speech Recognition (ASR) errors, hosted on AWS Open Data. The data is provided by Amazon and is associated with a research project on ASR error robustness. The license details are available via a linked GitHub repository.

Use Cases

• Training sentence classifiers to be robust to ASR errors based on the described data.
• Benchmarking NLP model performance on noisy text inputs derived from speech recognition.
• Studying the impact of transcription errors on downstream text classification tasks.

Strengths

• Data is focused on a specific research problem: ASR error robustness.
• Hosted on a major cloud platform (AWS) for reliable access.
• Associated with a public GitHub repository for license and potential documentation.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Amazon

Collection Method

Likely generated or compiled for research on ASR error robustness.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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