JMM Tree Identification Session: Annotated Audio Transcriptions

Translations and transcriptions of a tree identification session conducted by John Mukopa (JMM). The dataset is stored in EAF (ELAN Annotation Format) files and totals 86.8 KB. It was authored by Lawrence Barham and last updated on figshare in May 2026.

Use Cases

• Train speech recognition models for indigenous languages based on the transcribed audio.
• Analyze linguistic patterns in botanical identification sessions.
• Study the structure of expert-led knowledge transfer sessions from the provided annotations.
• Cross-reference plant names and descriptions with other botanical datasets.

Strengths

• Dataset is openly shared under a CC-BY-NC-SA-4.0 license.
• Annotations are provided in the structured EAF format, which is suitable for linguistic analysis.
• The data has a specific provenance linked to an expert (JMM) and a researcher (Lawrence Barham).

Limitations

• The dataset is very small at 86.8 KB, indicating limited scope.
• Column-level documentation and sample data are unavailable, making field semantics unclear.
• The row count is unknown, which limits suitability assessment for large-scale analysis.

Provenance

Source

Lawrence Barham via figshare.

Collection Method

Likely involves recording and annotating a session with John Mukopa (JMM).

Freshness

Last updated 2026-05-21.