Update README.md

README.md

@@ -86,7 +86,7 @@ The dataset contains ~1623 hours of recording from 19 different recorders locate
     kipuka_metadata.csv
 ```
 ### Data Instances
-All audio files are named (recorder_id)-YYYYMMDD-HHMMSS.wav inside a folder named after the recorder id. Each recording is 1 hour long
+All audio files are named (recorder_id)-YYYYMMDD-HHMMSS.wav inside a folder named after the recorder id. Each recording starts at the time listed in the filename. Most recordings are 1 hour long, but some may be shorter. Recordings were taken using a SongMeter Micro 2.
 
 ### Data Fields
 
@@ -108,7 +108,6 @@ Give your train-test splits for benchmarking; could be as simple as "split is in
 -->
 
 ## Dataset Creation
-
 This dataset was compiled as part of the field component of the Experiential Introduction to AI and Ecology Course run by the Imageomics Institute and the AI and Biodiversity Change (ABC) Global Center. This field work was done on the island of Hawai'i January 15-30, 2025.
 
 ### Curation Rationale