mirror of
https://github.com/modelscope/modelscope.git
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124 lines
4.6 KiB
Python
124 lines
4.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.models import Model
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from modelscope.models.nlp import SpaceForDST
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.nlp import DialogStateTrackingPipeline
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from modelscope.preprocessors import DialogStateTrackingPreprocessor
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from modelscope.utils.constant import Tasks
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from modelscope.utils.nlp.space.utils_dst import \
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tracking_and_print_dialog_states
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from modelscope.utils.test_utils import test_level
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class DialogStateTrackingTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.task_oriented_conversation
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self.model_id = 'damo/nlp_space_dialog-state-tracking'
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test_case = [{
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'User-1':
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'Hi, I\'m looking for a train that is going to cambridge and arriving there by 20:45, '
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'is there anything like that?'
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}, {
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'System-1':
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'There are over 1,000 trains like that. Where will you be departing from?',
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'Dialog_Act-1': {
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'Train-Inform': [['Choice', 'over 1'], ['Choice', '000']],
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'Train-Request': [['Depart', '?']]
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},
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'User-2': 'I am departing from birmingham new street.'
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}, {
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'System-2': 'Can you confirm your desired travel day?',
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'Dialog_Act-2': {
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'Train-Request': [['Day', '?']]
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},
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'User-3': 'I would like to leave on wednesday'
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}, {
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'System-3':
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'I show a train leaving birmingham new street at 17:40 and arriving at 20:23 on Wednesday. '
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'Will this work for you?',
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'Dialog_Act-3': {
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'Train-Inform': [['Arrive', '20:23'], ['Leave', '17:40'],
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['Day', 'Wednesday'],
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['Depart', 'birmingham new street']]
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},
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'User-4':
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'That will, yes. Please make a booking for 5 people please.',
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}, {
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'System-4':
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'I\'ve booked your train tickets, and your reference number is A9NHSO9Y.',
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'Dialog_Act-4': {
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'Train-OfferBooked': [['Ref', 'A9NHSO9Y']]
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},
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'User-5':
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'Thanks so much. I would also need a place to say. '
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'I am looking for something with 4 stars and has free wifi.'
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}, {
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'System-5':
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'How about the cambridge belfry? '
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'It has all the attributes you requested and a great name! '
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'Maybe even a real belfry?',
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'Dialog_Act-5': {
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'Hotel-Recommend': [['Name', 'the cambridge belfry']]
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},
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'User-6':
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'That sounds great, could you make a booking for me please?',
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}, {
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'System-6':
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'What day would you like your booking for?',
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'Dialog_Act-6': {
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'Booking-Request': [['Day', '?']]
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},
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'User-7':
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'Please book it for Wednesday for 5 people and 5 nights, please.',
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}, {
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'System-7': 'Booking was successful. Reference number is : 5NAWGJDC.',
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'Dialog_Act-7': {
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'Booking-Book': [['Ref', '5NAWGJDC']]
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},
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'User-8': 'Thank you, goodbye',
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}]
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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cache_path = snapshot_download(self.model_id)
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model = SpaceForDST.from_pretrained(cache_path)
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preprocessor = DialogStateTrackingPreprocessor(model_dir=cache_path)
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pipelines = [
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DialogStateTrackingPipeline(
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model=model, preprocessor=preprocessor),
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pipeline(
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task=Tasks.task_oriented_conversation,
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model=model,
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preprocessor=preprocessor)
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]
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tracking_and_print_dialog_states(self.test_case, pipelines)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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preprocessor = DialogStateTrackingPreprocessor(
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model_dir=model.model_dir)
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pipelines = [
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DialogStateTrackingPipeline(
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model=model, preprocessor=preprocessor),
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pipeline(task=self.task, model=model, preprocessor=preprocessor)
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]
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tracking_and_print_dialog_states(self.test_case, pipelines)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipelines = [pipeline(task=self.task, model=self.model_id)]
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tracking_and_print_dialog_states(self.test_case, pipelines)
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if __name__ == '__main__':
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unittest.main()
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