The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST)-K2 (LK2) project, initiated in 2015, aims to collect low-resolution spectra of targets in the K2 campaigns, similar to the LAMOST-Kepler project. By the end of 2018, a total of 126 LK2 plates had been observed by LAMOST. After cross-matching the catalog of the LAMOST data release 6 (DR6) with that of the K2 approved targets, we found 160,619 usable spectra of 84,012 objects, most of which had been observed more than once. The effective temperature, surface gravity, metallicity, and radial velocity from 129,974 spectra for 70,895 objects are derived through the LAMOST Stellar Parameter Pipeline (LASP). The internal uncertainties were estimated to be 81 K, 0.15 dex, 0.09 dex, and 5 km s⁻¹, respectively, when derived from a spectrum with a signal-to-noise ratio in the g band (S/N _g ) of 10. These estimates are based on results for targets with multiple visits. The external accuracies were assessed by comparing the parameters of targets in common with the APOGEE and Gaia surveys, for which we generally found linear relationships. A final calibration is provided, combining external and internal uncertainties for giants and dwarfs, separately. We foresee that these spectroscopic data will be used widely in different research fields, especially in combination with K2 photometry.

与LAMOST-Kepler项目类似，2015年启动的大天空区多目标光纤光谱望远镜（LAMOST）-K2（LK2）项目旨在收集K2活动中目标的低分辨率光谱。截至2018年底，LAMOST共观察到126个LK2板块。在将LAMOST数据版本6（DR6）的目录与K2批准的目标的目录进行交叉匹配后，我们发现了84,012个对象的160,619个可用光谱，其中大多数观察到了不止一次。通过LAMOST恒星参数管道（LASP）得出了70,895个对象的129,974个光谱的有效温度，表面重力，金属性和径向速度。内部不确定度估计为81 K，0.15 dex，0.09 dex和5 km s ^-1分别从g波段（S / N _g）的信噪比为10的频谱得出时，这些估计是基于多次访问目标的结果。通过比较与APOGEE和Gaia调查相同的目标参数来评估外部精度，我们通常会发现线性关系。提供了最终校准，分别结合了巨人和小矮人的内部和外部不确定性。我们预见到这些光谱数据将被广泛用于不同的研究领域，尤其是与K2光度法结合使用时。