//
// 3 変数劣モジュラ関数のグラフ表現
//
// verified (3 変数は未 verify):
//   競プロ典型 90 問 040 - Get More Money（★7）
//     https://atcoder.jp/contests/typical90/tasks/typical90_an
//
//   AtCoder ARC 085 E - MUL (for basid psp)
//     https://atcoder.jp/contests/arc085/tasks/arc085_c
//
//   AtCoder ABC 259 G - Grid Card Game (for basid psp)
//     https://atcoder.jp/contests/abc259/tasks/abc259_g
//
//   AtCoder ABC 326 G - Unlock Achievement (for all-true profit)
//     https://atcoder.jp/contests/abc326/tasks/abc326_g
//
//   AtCoder ABC 225 G - X (for xi = xj = 1 profit)
//     https://atcoder.jp/contests/abc225/tasks/abc225_g
//
//   AOJ 2903 Board (for general 2-variable submodular function)
//     https://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=2903
//


#include <bits/stdc++.h>
using namespace std;


// 1, 2, 3-variable submodular optimization
/*
 N 個の bool 変数 x_0, x_1, ..., x_{N-1} について、以下の形のコストが定められたときの最小コストを求める
 
 ・1 変数 xi に関するコスト (1 変数劣モジュラ関数)
    xi = F のときのコスト, xi = T のときのコスト
 
 ・2 変数 xi, xj 間の関係性についてのコスト (2 変数劣モジュラ関数)
 　　(xi, xj) = (F, F): コスト A
 　　(xi, xj) = (F, T): コスト B
 　　(xi, xj) = (T, F): コスト C
 　　(xi, xj) = (T, T): コスト D
 　(ただし、B + C >= A + D でなければならない)
 
 ・よくある例は、A = B = D = 0, C >= 0 の形である (特に関数化している)
    ・この場合は、特に Project Selection Problem と呼ばれ、俗に「燃やす埋める」などとも呼ばれる
    ・xi = T, xj = F のときにコスト C がかかる
 
 ・他に面白い例として、A = B = C = 0, D <= 0 の形もある (これも関数化している)
    ・xi = T, xj = T のときに (-D) の利得が得られる
 
 ・3 変数 xi, xj, xk 間の関係性についてのコスト (3 変数劣モジュラ関数)
 　　(xi, xj, xk) = (F, F, F): コスト A
 　　(xi, xj, xk) = (F, F, T): コスト B
 　　(xi, xj, xk) = (F, T, F): コスト C
 　　(xi, xj, xk) = (F, T, T): コスト D
 　　(xi, xj, xk) = (T, F, F): コスト E
 　　(xi, xj, xk) = (T, F, T): コスト F
 　　(xi, xj, xk) = (T, T, F): コスト G
 　　(xi, xj, xk) = (T, T, T): コスト H
 */
// 1, 2, 3-variable submodular optimization
template<class COST> struct ThreeVariableSubmodularOpt {
    // constructors
    ThreeVariableSubmodularOpt() : N(2), S(0), T(0), OFFSET(0) {}
    ThreeVariableSubmodularOpt(int n, COST inf = numeric_limits<COST>::max() / 2)
    : N(n), S(n), T(n + 1), OFFSET(0), INF(inf), list(n + 2) {}
    
    // initializer
    void init(int n, COST inf = numeric_limits<COST>::max() / 2) {
        N = n, S = n, T = n + 1;
        OFFSET = 0, INF = inf;
        list.clear();
        list.resize(N + 2);
        pos.clear();
    }

    // add constant cost
    void add_cost(COST cost) {
        OFFSET += cost;
    }

    // add 1-variable submodular function
    void add_single_cost(int xi, COST false_cost, COST true_cost) {
        assert(0 <= xi && xi < N);
        if (false_cost >= true_cost) {
            OFFSET += true_cost;
            if (false_cost - true_cost > 0) add_edge(S, xi, false_cost - true_cost);
        } else {
            OFFSET += false_cost;
            add_edge(xi, T, true_cost - false_cost);
        }
    }
    void add_single_cost_01(int xi, COST false_cost, COST true_cost) {
        add_single_cost(xi, false_cost, true_cost);
    }
    void add_single_cost_10(int xi, COST false_cost, COST true_cost) {
        add_single_cost(xi, true_cost, false_cost);
    }
    
    // add "project selection" constraint
    // xi = T, xj = F: strictly prohibited
    void add_psp_constraint(int xi, int xj) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(xi != xj);
        add_edge(xi, xj, INF);
    }
    void add_psp_constraint_01(int xi, int xj) {
        add_psp_constraint(xj, xi);
    }
    void add_psp_constraint_10(int xi, int xj) {
        add_psp_constraint(xi, xj);
    }
    
    // add "project selection" penalty
    // xi = T, xj = F: cost C
    void add_psp_penalty(int xi, int xj, COST C) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(xi != xj);
        assert(C >= 0);
        if (C > 0) add_edge(xi, xj, C);
    }
    void add_psp_penalty_01(int xi, int xj, COST C) {
        add_psp_penalty(xj, xi, C);
    }
    void add_psp_penalty_10(int xi, int xj, COST C) {
        add_psp_penalty(xi, xj, C);
    }
    
    // add both True profit
    // xi = T, xj = T: profit P (cost -P)
    void add_both_true_profit(int xi, int xj, COST P) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(xi != xj);
        assert(P >= 0);
        OFFSET -= P;
        if (P > 0) add_edge(S, xi, P);
        if (P > 0) add_edge(xi, xj, P);
    }
    
    // add both False profit
    // xi = F, xj = F: profit P (cost -P)
    void add_both_false_profit(int xi, int xj, COST P) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(xi != xj);
        assert(P >= 0);
        OFFSET -= P;
        if (P > 0) add_edge(xj, T, P);
        if (P > 0) add_edge(xi, xj, P);
    }
    
    // add general 2-variable submodular function
    // (xi, xj) = (F, F): A, (F, T): B
    // (xi, xj) = (T, F): C, (T, T): D
    void add_submodular_function(int xi, int xj, COST A, COST B, COST C, COST D) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(xi != xj);
        assert(B + C >= A + D);  // assure submodular function
        OFFSET += A;
        add_single_cost(xi, 0, D - B);
        add_single_cost(xj, 0, B - A);
        if (B + C - A - D > 0) add_psp_penalty(xi, xj, B + C - A - D);
    }
    
    // add all True profit
    // y = F: not gain profit (= cost is P), T: gain profit (= cost is 0)
    // y: T, xi: F is prohibited
    void add_all_true_profit(const vector<int> &xs, COST P) {
        assert(P >= 0);
        int y = (int)list.size();
        list.resize(y + 1);
        OFFSET -= P;
        add_edge(S, y, P);
        for (auto xi : xs) {
            assert(xi >= 0 && xi < N);
            add_edge(y, xi, INF);
        }
    }
    
    // add all False profit
    // y = F: gain profit (= cost is 0), T: not gain profit (= cost is P)
    // xi = T, y = F is prohibited
    void add_all_false_profit(const vector<int> &xs, COST P) {
        assert(P >= 0);
        int y = (int)list.size();
        list.resize(y + 1);
        OFFSET -= P;
        add_edge(y, T, P);
        for (auto xi : xs) {
            assert(xi >= 0 && xi < N);
            add_edge(xi, y, INF);
        }
    }
    
    // add general 3-variable submodular function
    // (xi, xj, xk) = (F, F, F): cost A
    // (xi, xj, xk) = (F, F, T): cost B
    // (xi, xj, xk) = (F, T, F): cost C
    // (xi, xj, xk) = (F, T, T): cost D
    // (xi, xj, xk) = (T, F, F): cost E
    // (xi, xj, xk) = (T, F, T): cost F
    // (xi, xj, xk) = (T, T, F): cost G
    // (xi, xj, xk) = (T, T, T): cost H
    void add_submodular_function(int xi, int xj, int xk,
                                 COST A, COST B, COST C, COST D,
                                 COST E, COST F, COST G, COST H) {
        assert(0 <= xi && xi < N);
        assert(0 <= xj && xj < N);
        assert(0 <= xk && xk < N);
        COST P = (A + D + F + G) - (B + C + E + H);
        COST P12 = (C + E) - (A + G), P13 = (D + G) - (C + H);
        COST P21 = (D + F) - (B + H), P23 = (B + C) - (A + D);
        COST P31 = (B + E) - (A + F), P32 = (F + G) - (E + H);
        assert(P12 >= 0 && P21 >= 0);
        assert(P23 >= 0 && P32 >= 0);
        assert(P31 >= 0 && P13 >= 0);
        if (P >= 0) {
            OFFSET += A;
            add_single_cost(xi, 0, F - B);
            add_single_cost(xj, 0, G - E);
            add_single_cost(xk, 0, D - C);
            add_psp_penalty(xj, xi, P12);
            add_psp_penalty(xk, xj, P23);
            add_psp_penalty(xi, xk, P31);
            add_all_true_profit({xi, xj, xk}, P);
        } else {
            OFFSET += H;
            add_single_cost(xi, C - G, 0);
            add_single_cost(xj, B - D, 0);
            add_single_cost(xk, E - F, 0);
            add_psp_penalty(xi, xj, P21);
            add_psp_penalty(xj, xk, P32);
            add_psp_penalty(xk, xi, P13);
            add_all_false_profit({xi, xj, xk}, -P);
        }
    }
    
    // solve
    COST solve() {
        return dinic() + OFFSET;
    }
    
    // reconstrcut the optimal assignment
    vector<bool> reconstruct() {
        vector<bool> res(N, false), seen(list.size(), false);
        queue<int> que;
        seen[S] = true;
        que.push(S);
        while (!que.empty()) {
            int v = que.front();
            que.pop();
            for (const auto &e : list[v]) {
                if (e.cap > 0 && !seen[e.to]) {
                    if (e.to < N) res[e.to] = true;
                    seen[e.to] = true;
                    que.push(e.to);
                }
            }
        }
        return res;
    }
    
    // debug
    friend ostream& operator << (ostream& s, const ThreeVariableSubmodularOpt &tvs) {
        const auto &edges = tvs.get_edges();
        for (const auto &e : edges) s << e << endl;
        return s;
    }
    
private:
    // edge class
    struct Edge {
        // core members
        int rev, from, to;
        COST cap;
        
        // constructor
        Edge(int r, int f, int t, COST c) : rev(r), from(f), to(t), cap(c) {}
        
        // debug
        friend ostream& operator << (ostream& s, const Edge& e) {
            return s << e.from << "->" << e.to << '(' << e.cap << ')';
        }
    };
    
    // inner data
    int N, S, T;
    COST OFFSET, INF;
    vector<vector<Edge>> list;
    vector<pair<int,int>> pos;
    
    // add edge
    Edge &get_rev_edge(const Edge &e) {
        return list[e.to][e.rev];
    }
    Edge &get_edge(int i) {
        return list[pos[i].first][pos[i].second];
    }
    const Edge &get_edge(int i) const {
        return list[pos[i].first][pos[i].second];
    }
    vector<Edge> get_edges() const {
        vector<Edge> edges;
        for (int i = 0; i < (int)pos.size(); ++i) {
            edges.push_back(get_edge(i));
        }
        return edges;
    }
    void add_edge(int from, int to, COST cap) {
        if (cap <= 0) return;
        pos.emplace_back(from, (int)list[from].size());
        list[from].push_back(Edge((int)list[to].size(), from, to, cap));
        list[to].push_back(Edge((int)list[from].size() - 1, to, from, 0));
    }
    
    // Dinic's algorithm
    COST dinic(COST limit_flow) {
        COST current_flow = 0;
        vector<int> level((int)list.size(), -1), iter((int)list.size(), 0);
        queue<int> que;
        
        // Dinic BFS
        auto bfs = [&]() -> void {
            fill(level.begin(), level.end(), -1);
            level[S] = 0;
            while (!que.empty()) que.pop();
            que.push(S);
            while (!que.empty()) {
                int v = que.front();
                que.pop();
                for (const Edge &e : list[v]) {
                    if (level[e.to] < 0 && e.cap > 0) {
                        level[e.to] = level[v] + 1;
                        if (e.to == T) return;
                        que.push(e.to);
                    }
                }
            }
        };
        
        // Dinic DFS
        auto dfs = [&](auto self, int v, COST up_flow) {
            if (v == S) return up_flow;
            COST res_flow = 0;
            for (int &i = iter[v]; i < (int)list[v].size(); i++) {
                Edge &e = list[v][i], &re = get_rev_edge(e);
                if (level[v] <= level[e.to] || re.cap <= 0) continue;
                COST flow = self(self, e.to, min(up_flow - res_flow, re.cap));
                if (flow <= 0) continue;
                res_flow += flow;
                e.cap += flow, re.cap -= flow;
                if (res_flow == up_flow) return res_flow;
            }
            level[v] = (int)list.size();
            return res_flow;
        };
        
        // flow
        while (current_flow < limit_flow) {
            bfs();
            if (level[T] < 0) break;
            fill(iter.begin(), iter.end(), 0);
            while (current_flow < limit_flow) {
                COST flow = dfs(dfs, T, limit_flow - current_flow);
                if (flow <= 0) break;
                current_flow += flow;
            }
        }
        return current_flow;
    };
    COST dinic() {
        return dinic(numeric_limits<COST>::max() / 2);
    }
};


//------------------------------//
// Examples
//------------------------------//

int main() {
    long long N, M;
    cin >> N >> M;
    vector<long long> A(N), B(M);
    for (int i = 0; i < N; i++) cin >> A[i];
    for (int i = 0; i < M; i++) cin >> B[i];
    vector<vector<int>> C(M);
    for (int i = 0; i < M; i++) {
        int K;
        cin >> K;
        C[i].resize(K);
        for (int j = 0; j < K; j++) cin >> C[i][j], C[i][j]--;
    }

    ThreeVariableSubmodularOpt<long long> opt(N);
    for (int i = 0; i < N; i++) opt.add_single_cost_10(i, A[i], 0);
    for (int i = 0; i < M; i++) opt.add_all_true_profit(C[i], B[i]);
    cout <<  -opt.solve() << endl;
}