SCK Muputu Tree Identification and Log Cutting Annotations

Translations and transcriptions of Simon Chileshe's Muputu tree identification and log cutting sessions. The dataset is 46.7 KB in size and is provided in EAF format. It was authored by Lawrence Barham and last updated on May 21, 2026.

Use Cases

• Analyze indigenous tree identification terminology based on the transcribed sessions.
• Study the process of log cutting and resource use based on the session translations.
• Train language models on specialized forestry vocabulary from the transcribed annotations.

Strengths

• Dataset is small (46.7 KB), facilitating quick download and inspection.
• The data is explicitly annotated with translations and transcriptions, providing a structured linguistic resource.

Limitations

• The dataset is very small (46.7 KB), indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Lawrence Barham

Collection Method

Likely contains manual transcriptions and translations of recorded sessions.

Freshness

Last updated 2026-05-21 11:12:12; freshness should be verified.