Download data: Annotations structure¶
The annotations structure is a format that is uniform across several task designs, which generate an annotation for each individual stimulus, or set of two or three. This structure is available for most tasks.
When to use annotations structure¶
Annotations structure is ideal when you need:
- Per-stimulus data — One row per annotation rather than per participant
- Uniform format — Consistent structure across different task types
- Response timing — Start and response timestamps for each annotation
For complete hierarchical data with all metadata, consider the Tree structure.
Compatible file types¶
Annotations structure data is currently available in the CSV and JSON file types.
Structure¶
Each row represents one annotation of a set of one, two, or three stimuli. The columns include:
- stim1_id, stim2_id, stim3_id — Meadows IDs of the stimuli
- stim1_name, stim2_name, stim3_name — Names based on the file names
- start — Time the stimulus was presented
- resp — Time of the participant's response
- label — The annotation value, which varies based on the task
- task — Name of the task in which it was generated
- participation — Alias of the participant session
Loading annotations data¶
Open the CSV file directly in Microsoft Excel or Google Sheets:
- Use File → Open or File → Import
- Select the
.csvfile - Use filters to view specific tasks or participants:
- In Excel: Data → Filter
- In Sheets: Data → Create a filter
Example¶
Annotations for 3 stimuli in a Label task called lbl1:
| task | participation | stim1_id | stim1_name | start | resp | label |
|---|---|---|---|---|---|---|
| lbl1 | preview | 6f3bc | rain | 2020-09-14T18:18:43.196Z | 2020-09-14T18:19:00.993Z | brown river water surrounded by a green quay |
| lbl1 | preview | e4e71 | fireplace | 2020-09-14T18:19:00.995Z | 2020-09-14T18:19:38.363Z | a lively fire burning off a stack of logs |
| lbl1 | preview | 3c097 | beach | 2020-09-14T18:19:38.364Z | 2020-09-14T18:20:24.634Z | green waves gently breaking on a yellow sand |