[Delete benchmark_runner]: Scoreboard already removed
diff --git a/examples/scripts/benchmark_runner b/examples/scripts/benchmark_runner
deleted file mode 100755
index aa01f5e5fb0..00000000000
--- a/examples/scripts/benchmark_runner
+++ /dev/null
@@ -1,80 +0,0 @@
-#!/usr/bin/env python
-#
-# Run all the tasks on a benchmark using a random agent.
-#
-# This script assumes you have set an OPENAI_GYM_API_KEY environment
-# variable. You can find your API key in the web interface:
-# https://gym.openai.com/settings/profile.
-#
-import argparse
-import logging
-import os
-import sys
-
-import gym
-# In modules, use `logger = logging.getLogger(__name__)`
-from gym import wrappers
-from gym.scoreboard.scoring import benchmark_score_from_local
-
-import openai_benchmark
-
-logger = logging.getLogger()
-
-def main():
-    parser = argparse.ArgumentParser(description=None)
-    parser.add_argument('-b', '--benchmark-id', help='id of benchmark to run e.g. Atari7Ram-v0')
-    parser.add_argument('-v', '--verbose', action='count', dest='verbosity', default=0, help='Set verbosity.')
-    parser.add_argument('-f', '--force', action='store_true', dest='force', default=False)
-    parser.add_argument('-t', '--training-dir', default="/tmp/gym-results", help='What directory to upload.')
-    args = parser.parse_args()
-
-    if args.verbosity == 0:
-        logger.setLevel(logging.INFO)
-    elif args.verbosity >= 1:
-        logger.setLevel(logging.DEBUG)
-
-    benchmark_id = args.benchmark_id
-    if benchmark_id is None:
-        logger.info("Must supply a valid benchmark")
-        return 1
-
-    try:
-        benchmark = gym.benchmark_spec(benchmark_id)
-    except Exception:
-        logger.info("Invalid benchmark")
-        return 1
-
-    # run benchmark tasks
-    for task in benchmark.tasks:
-        logger.info("Running on env: {}".format(task.env_id))
-        for trial in range(task.trials):
-            env = gym.make(task.env_id)
-            training_dir_name = "{}/{}-{}".format(args.training_dir, task.env_id, trial)
-            env = wrappers.Monitor(env, training_dir_name, video_callable=False, force=args.force)
-            env.reset()
-            for _ in range(task.max_timesteps):
-                o, r, done, _ = env.step(env.action_space.sample())
-                if done:
-                    env.reset()
-            env.close()
-
-    logger.info("""Computing statistics for this benchmark run...
-{{
-    score: {score},
-    num_envs_solved: {num_envs_solved},
-    summed_training_seconds: {summed_training_seconds},
-    start_to_finish_seconds: {start_to_finish_seconds},
-}}
-
-    """.rstrip().format(**benchmark_score_from_local(benchmark_id, args.training_dir)))
-
-    logger.info("""Done running, upload results using the following command:
-
-python -c "import gym; gym.upload('{}', benchmark_id='{}', algorithm_id='(unknown)')"
-
-    """.rstrip().format(args.training_dir, benchmark_id))
-
-    return 0
-
-if __name__ == '__main__':
-    sys.exit(main())
