Inconsistent definition of tidy data

[andtheWings]

On the tidyr website index, the Github README, and R4DS, tidy data is defined as:

1. Every column is variable.
2. Every row is an observation.
3. Every cell is a single value.

Then in the Tidy data article derived from vignettes/tidy-data.Rmd, it's defined as:

1. Each variable forms a column.
2. Each observation forms a row.
3. Each type of observational unit forms a table.

Using these definitions changes how I label this motor vehicle collision dataset.

From my assessment it meets rules 1-3 for the first definition so I would call it tidy. But using the second definition, it fits rules 1-2, but violates rule 3. There are variables corresponding to three different observational units:

1. Individual involved in a collision event:
   • PERSONNMB -- Unique numeric sequence value for each person associated with a collision and a vehicle.
   • GENDERCDE -- Code indicating person's gender.
2. Vehicle involved in a collision event:
   • UNIT_MR_NUMBER -- Unique numeric sequence value for each vehicle in a collision.
   • VEHMAKETXT -- Description indicating the name of the manufacturer of the vehicle.
3. Collision event:
   • INDIVIDUAL_MR_RECORD -- Unique identifier for each collision.
   • INJUREDNMB -- Total number of people injured in the collision.

In this sense, does it mean the dataset isn't tidy?