def run_conversation(mturk_manager, opt, workers):
task = task_class(task_opt)
mturk_agent = workers[0]
world = QADataCollectionWorld(opt=opt,
task=task,
mturk_agent=mturk_agent)
while not world.episode_done():
world.parley()
world.shutdown()
world.review_work()
def run_hit(hit_index, assignment_index, task_class, task_opt, opt, mturk_manager):
conversation_id = str(hit_index) + '_' + str(assignment_index)
task = task_class(task_opt)
# Create the MTurk agent which provides a chat interface to the Turker
mturk_agent = MTurkAgent(id=mturk_agent_id, manager=mturk_manager, conversation_id=conversation_id, opt=opt)
world = QADataCollectionWorld(opt=opt, task=task, mturk_agent=mturk_agent)
while not world.episode_done():
world.parley()
world.shutdown()
world.review_work()
def run_conversation(mturk_manager, opt, workers):
# create a task agent to ask the questions
task = task_class(task_opt)
# Create the task world
world = QADataCollectionWorld(opt=opt, task=task, mturk_agent=workers[0])
# run the world to completion
while not world.episode_done():
world.parley()
# shutdown and review the work
world.shutdown()
world.review_work()
# Return the contents for saving
return world.prep_save_data(workers)
def main():
argparser = ParlaiParser(False, False)
argparser.add_parlai_data_path()
argparser.add_mturk_args()
opt = argparser.parse_args()
opt['task'] = os.path.basename(os.getcwd())
# Initialize a SQuAD teacher agent, which we will later get context from
module_name = 'parlai.tasks.squad.agents'
class_name = 'DefaultTeacher'
my_module = importlib.import_module(module_name)
task_class = getattr(my_module, class_name)
task_opt = {}
task_opt['datatype'] = 'train'
task_opt['datapath'] = opt['datapath']
task = task_class(task_opt)
# Create the MTurk agent which provides a chat interface to the Turker
opt.update(task_config)
mturk_agent_id = 'Worker'
opt['agent_id'] = mturk_agent_id
opt['mturk_agent_ids'] = [mturk_agent_id]
opt['all_agent_ids'] = [
QADataCollectionWorld.collector_agent_id, mturk_agent_id
]
opt['conversation_id'] = str(int(time.time()))
mturk_agent = MTurkAgent(opt=opt)
world = QADataCollectionWorld(opt=opt, task=task, mturk_agent=mturk_agent)
while not world.episode_done():
world.parley()
world.shutdown()
def run_hit(i, task_class, task_opt, opt, mturk_manager):
task = task_class(task_opt)
# Create the MTurk agent which provides a chat interface to the Turker
mturk_agent = MTurkAgent(id='Worker', manager=mturk_manager, conversation_id=i, opt=opt)
world = QADataCollectionWorld(opt=opt, task=task, mturk_agent=mturk_agent)
while not world.episode_done():
world.parley()
world.shutdown()
def run_conversation(mturk_manager, opt, workers):
task = task_class(task_opt)
mturk_agent = workers[0]
world = QADataCollectionWorld(
opt=opt,
task=task,
mturk_agent=mturk_agent
)
while not world.episode_done():
world.parley()
world.shutdown()
world.review_work()
def run_hit(i, task_class, task_opt, opt):
task = task_class(task_opt)
opt['conversation_id'] = str(i)
mturk_agent = MTurkAgent(opt=opt)
world = QADataCollectionWorld(opt=opt,
task=task,
mturk_agent=mturk_agent)
while not world.episode_done():
world.parley()
world.shutdown()