Abjad-Kids: Arabic Speech Recordings for Primary Education

Abjad-Kids is an Arabic speech classification dataset containing spoken recordings of the Arabic alphabet, numbers, and colors from multiple child speakers. It supports research in automatic speech recognition and educational technology for Arabic-speaking children. The dataset was created by Aziz-snoubra and was last updated on March 14, 2026.

Use Cases

• Train automatic speech recognition models based on child speech recordings of the Arabic alphabet.
• Develop audio classification systems for educational content based on spoken numbers and colors.
• Build educational technology tools for Arabic-speaking primary school children based on labeled speech data.

Strengths

• Dataset contains recordings from multiple child speakers, which may provide speaker diversity.
• Covers three distinct educational categories: the Arabic alphabet, numbers, and colors.

Limitations

• Row count, file formats, and exact size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict usage.

Provenance

Source

huggingface

Collection Method

Likely contains spoken recordings gathered from multiple child speakers.

Freshness

Last updated 2026-03-14 12:58:33; freshness should be verified.

Geography

Region is listed as 'us' in platform tags, but the dataset is for Arabic-speaking children; geographic coverage is unclear.