  We cross-matched 1.3 million white dwarf (WD) candidates from Gaia EDR3 with
spectral data from LAMOST DR7 within 3 arcsec. Applying machine learning
described in our previous work, we spectroscopically identified 6,190 WD
objects after visual inspection, among which 1,496 targets were firstly
confirmed. 32 detailed classes were adopted for them, including but not limited
to DAB and DB+M. We estimated the atmospheric parameters for the DA and DB type
WD using Levenberg-Marquardt least-squares algorithm (LM). Finally, a catalog
of WD spectra from LAMOST was provided online.
