[BUG] Qatar Sprint Incorrect Compound

[Casper-Guo]

Describe the issue:

About half of the Qatar sprint race laps are labelled with the hard compound when this compound was not used at all in the actual event

Reproduce the code example:

import fastf1 as f

session = f.get_session(2025, "Qatar", "sprint")
session.load(telemetry=False, weather=False)
print(session.laps.groupby("Compound").size())

Error message:

Compound
HARD      171
MEDIUM    182
SOFT       27
dtype: int64

[Casper-Guo]

Appears to be an issue with the source data. The issue is present in the data before any tyre info correction is applied

[theOehrly]

Yeah, there is something weird going on with the source data. First, all cars seem to be correclty listed with mediums. Then, a hard tyre is added out of nowhere. For example, the screenshot below is taken in Multiviewer during the formation lap.

[CodersAcademy006]

I've also observed these anomalies in the 2025 Qatar Sprint data. Since this appears to be an upstream source issue where 'HARD' compounds are erroneously inserted, the best immediate workaround is to clean the laps DataFrame post-load by manually mapping the incorrect 'HARD' labels to 'MEDIUM' (or the confirmed compound) before running any aggregate statistics or visualization.