Sample efficiency and human dataset

I have a question, if we use more than a state in once interaction. and the server will how to count the sample count?

e.g, likes the baselines code on Gym.step, they may used 4 states in once step refer to the agent, therefore, we could only use 8,000,000/4 = 2,000,000 step in training stage? Please help to make sure with it, Thanks.

    def step(self, action):
        """Repeat action, sum reward, and max over last observations."""
        total_reward = 0.0
        done = None
        for i in range(self._skip):
            obs, reward, done, info = self.env.step(action)
            if i == self._skip - 2: self._obs_buffer[0] = obs
            if i == self._skip - 1: self._obs_buffer[1] = obs
            total_reward += reward
            if done:
                break
        # Note that the observation on the done=True frame
        # doesn't matter
        max_frame = self._obs_buffer.max(axis=0)

        return max_frame, total_reward, done, info

And, I found this code in the baseline’s,

 # calculate corresponding `steps` and `eval_interval` according to frameskip
    # = 1440 episodes if we count an episode as 6000 frames,
    # = 1080 episodes if we count an episode as 8000 frames.
    maximum_frames = 8640000
    if args.frame_skip is None:
        steps = maximum_frames
        eval_interval = 6000 * 100  # (approx.) every 100 episode (counts "1 episode = 6000 steps")
    else:
        steps = maximum_frames // args.frame_skip
        eval_interval = 6000 * 100 // args.frame_skip  # (approx.) every 100 episode (counts "1 episode = 6000 steps")